License plate recognition
While the accuracy rate of traditional rules-based ALPR systems is very good, every false positive still requires human intervention. These service interruptions not only cause customer dissatisfaction but also cost parking operators time, money, and create overall enforcement inefficiencies. To address these issues, Genetec has developed a next-generation machine learning-based engine for Security Center AutoVu™. Optimized to run on current ALPR hardware already used by customers in the...
Security at educational institutions is a highly sensitive issue. No matter whether it is a kindergarten, school, university or private learning institute, concentrated learning requires a harmonious environment to focus on the essentials. High-end video technology can make a decisive contribution to protecting students from any kind of disturbance or untoward incident. Safeguarding schools In the past, schools and universities have repeatedly been the target of active shooter and terrorist a...
Hanwha Techwin America, a global supplier of IP and analog video surveillance solutions, announced a line of 4K AI cameras. Part of the Wisenet P series, the new AI-based cameras capture pristine images at up to 4K resolution while including powerful, in-camera deep learning algorithms for advanced object detection, classification and error-free analytics. Utilizing object recognition versus motion detection all but eliminates false alarms while also providing valuable business and operations in...
A welcoming experience starts at the gate, specifically for visitors, contractors and other users that come and go on a non-frequent basis. It is often challenging to manage these groups and from experience, it is common knowledge that these type of groups can cause challenges that result in queuing at the gate. Offering a reader that supports multiple technologies in one device, Nedap provides flexibility to end-users and integrators to manage these types of vehicle flows using dedicated ident...
Video surveillance technologies continue to evolve. Salient Systems looks at some of the fastest-growing areas in this sphere, including AI-based video analytics and cloud-based video access and recording. Market awareness will continue to drive interest, which will, in turn, drive available solutions and offerings in 2020 and beyond. Another trend to watch out for is more VMS interfaces offering greater access-to and control-of analytics information and access control systems. This relates to...
The Innovation Gallery is an initiative promoted by the pioneering Spanish Security event, SICUR, that recognizes businesses who have demonstrated true innovation and made a significant contribution to technological development in their sector. OPTEX was featured among the top 14 winners in the Security category by a panel of industry experts for its innovative ViiK radar-based vehicle sensors. ViiK’s sensors are above-ground vehicle detectors which require no civil engineering works to b...
Nedap Identification Systems is excited to share the upcoming OSDP upgrade within Nedap’s long-range RFID reader portfolio for automatic vehicle identification. The portfolio will be upgraded and compatible with V.2.1.7 of the Open Supervised Device Protocol (OSDP) standard. This upgrade supports the interoperability of the company’s reader portfolio with a growing number of access control and security products. Over the last few years, an increasing number of access control panel manufacturers is supporting OSDP technology and this upgrade enables seamless integration supported by a highly secured communication standard. Nedap will make OSDP V2.1.7 available for both its TRANSIT and uPASS long-range RFID product line. Automatic Vehicle Identification specialist Nedap is specialized in advanced solutions for Automatic Vehicle Identification for over the past decades Open Supervied Device Protocol (OSDP) standard OSDP has been developed by the Security Industry Association (SIA). According to the SIA, OSDP offers high security and advanced functionalities. The protocol enables bi-directional and encrypted communication based on Secure Channel Protocol (SCP). In addition, for example, OSDP enables monitoring wiring to protect against attack threats. Due to the fact that OSDP is offering secure and bi-directional communication between the reader and third party controller platform, the OSDP upgrade enables security professionals to simplify secured vehicle access. Nedap is specialized in advanced solutions for Automatic Vehicle Identification for over the past decades. A unique portfolio is developed by Nedap full with high performance long-range RFID and License Plate Recognition systems. Vehicle access control Nedap has been at the forefront of simplifying secure vehicle access for decades, while keeping the high accuracy in mind. Security and Parking professionals have been able to improve their operations by benefitting from the latest automatic vehicle identification solutions, by choosing Nedap technology. Nedap Identification Systems encourages technical specialists to order a demo kit and validate OSDP in vehicle access control applications. For the security professionals OSDP compliancy offers a great opportunity to talk to the technician’s customer base about the relevancy of OSDP in security and access control. In case of any queries, Nedap also encourages to make contact with their team. To give the users a complete picture of the opportunities of their updated RFID reader portfolio, Nedap Identification Systems organizes a webinar on the 14th of May, 10.00 AM (CEST). Long-range RFID portfolio Within this webinar, Ido Wentink (Proposition Manager) and Hans Rappard (Product Specialist), will present in 30 minutes all ins and outs about Nedap’s OSDP upgraded long-range RFID portfolio. Readers who would like to attend the webinar can register using the link given on the company’s official website.
With the introduction of the AIDA Traffic Management platform, LILIN has transformed Intelligent Traffic Systems from expensive, often inaccurate, and inflexible computer-vision solutions into a new simplified platform with embedded Artificial Intelligence (AI) that learns, adapts and detects every detail of street-level vehicle activity. Engineered for seamless integration into LILIN Windows®-based VMS products including Navigator Control Center, Navigator Corporate, and Navigator Enterprise, AIDA Traffic Management installs on the edge and uses metadata to bring real-time traffic data to organizations and municipalities. Enforcing parking and traffic violations AIDA is purpose-built for a flexible range of ITS applications, making each user-selected function completely automated and cost-efficient. For example, AIDA can extract data from vehicles traveling on multi-lane highways or urban streets, allowing municipalities to better enforce parking and traffic violations, recover stolen cars, or assist law enforcement in Amber Alerts. AIDA can recognize 12 license plates per second on vehicles traveling up to 125 miles per hour AIDA can recognize 12 license plates per second on vehicles traveling up to 125 miles per hour, casting an astonishingly wide net. Police can store and later access this data, enabling investigators to zero in on a suspect's whereabouts and behavioral patterns. Besides monitoring cars, trucks and motorcycles, AIDA can detect pedestrians loitering or entering restricted areas. Capturing vital operational data In a parking lot, AIDA can compare license plate data to pre-defined lists of allowed or excluded vehicles before taking an appropriate action, such as opening a gate or generating an alert if an unauthorized vehicle enters an area as a value-added service. It can also locate available parking slots and broadcast this information to incoming cars. In addition to its security role, AIDA can capture vital operational data about parking infrastructures, including the number of cars served by time, day, and length of stay. This data can then be applied to help optimize a staffing schedule and maximize the profitability of a parking lot's rate structure. AIDA removes the hassles of traditional computer vision techniques that require extensive, CPU-draining image processing. In contrast, AIDA software incorporates an AI engine that is instructed to learn what to look for and is able to run multiple models on distributed AI CPU, GPU, and VPUs.
AxxonSoft has announced the release of version 4.11 of the Intellect PSIM. The new version provides neural network–based analytics, video wall management interface, automatic object tracking with a PTZ camera, support for Intel Quick Sync Video hardware decoding, and servers for ONVIF and SIP protocols. The new release also includes updated versions of Face Intellect, POS Intellect, Auto Intellect, and Web Reporting subsystem, along with many other enhancements and improvements introduced. Video Analytics Neural Tracker The neural tracker uses DNN (deep neural network) to recognize specific types of objects, e.g., humans or vehicles. The neural tracker tracks objects in motion, which allows the application of any VMD-based detection tool: motion in an area, line crossing, appearance/disappearance of an object, etc. Detection based on the neural tracker can be applied to complex scenes with a large amount of non-relevant detail, whereas classic motion detection would be drowned out by false alarms. One neural tracker can work with several individually set-up counters, with various detection zones Object Counter A neural tracker can be linked to a counter that will periodically report the number of objects within a specified area in the FOV. One neural tracker can work with several individually set-up counters, with various detection zones, reporting intervals, etc. Neural Filter The neural filter works in parallel with the standard tracker, which allows the detection only of moving objects of a specified type or abandoned objects, while ignoring all other movement in the FOV. The results of their joint operation can be used by VMD-based detection tools in real time and recorded to a database that allows the quick location of objects of a specified type in recorded footage. Custom training of neural networks AxxonSoft offers custom training of the neural networks used by the neural tracker and neural filter To deliver high-quality video analytics, AxxonSoft offers custom training of the neural networks used by the neural tracker and neural filter. For each particular project, these AI tools are trained with the help of videos shot on site. Behavioral Analytics The neural network analyzes video and generates data on the postures of people in the FOV. This data is processed by analytical algorithms which are capable of detecting specified postures, such as crouching, lying prone, shooting, with hands up, or the appearance of an individual in any posture. Behavioral analytics detects potentially dangerous scenarios by specific postures, for example: An individual crouched down next to an ATM could be a burglar; One in a shooting position and other(s) with hands up could be an armed robbery. Enhanced and Optimized Added an option to save and recall templates for Forensic Search in Video Footage. A saved template can be re-used for further searches by using the same criteria. Updated neural algorithms for fire and smoke detection. Added Alarm Expired events for these detection tools, and an option to select processing hardware: GPU or CPU. Optimized memory consumption by the sweet-hearting neural detection tool that shows items not being swiped at the cash desk. Improved the stopped vehicle detection tool. Video Surveillance Added Tag&Track Pro feature that automatically tracks an object with a PTZ camera using coordinates obtained from the fixed camera's tracker. To start tracking a moving object, just click on its image. The PTZ camera will track it until the object leaves the fixed camera's FOV. Implemented support for the hardware decoding of H.264 streams using the Intel Quick Sync Video technology. The decoding is performed by an Intel GPU, which significantly reduces the Server's CPU load when applying video analytics, and the Client's CPU load when displaying video feeds. Added an option to hide selected portions of an archive. The availability of the options of hiding records and viewing hidden archives depends on the assigned user rights. One can now also mask faces on exported videos. To make it possible, the neural network automatically locates faces in recorded footage. These functions are required to comply with privacy and data protection requirements, such as the GDPR. Added an option to export videos from external storage, such as IP camera archives or NVRs. Added a comprehensive set of system events to audit operator's actions. Communication Protocols ONVIF Server - The ONVIF server is used for media streaming to external systems. It allows ONVIF clients to connect to an operating Intellect PSIM system, as they would to an ONVIF compatible device. Supported video streaming with synchronized audio in H.264/H.265/MPEG-4/MJPEG formats, multi-streaming, access to Video Footage, multicasting, authentication, and transmission of I/O events from devices and metadata. SIP Server - The SIP server allows the Intellect PSIM to connect to intercom devices such as IP door stations and push plates, and to create and route calls. The server supports audio and video calls, which can be recorded for further monitoring. Security system operators can now communicate via a new SIP Panel client interface. Each device and SIP Panel is assigned a calling ID number, and address books containing available call numbers are set up on SIP Panels. Other Protocols - Added support for the AMQP open messaging protocol, which allows the Intellect PSIM to receive and send RabbitMQ messages. Implemented the HTTP Server module, which is capable of sending events to an external system via HTTP polling. The User Interface Screen Manager Screen Manager is a new UI for video wall management. It enables convenient monitor layout management on selected PCs. Screen Manager can be used to: Create, edit, or delete layouts, and assign them to selected PCs; Remotely switch layouts on PCs. Operator Protocol For objects linked to a camera, they can now display a still image or recorded video of an event Operator Protocol is now completely revamped. Events list is now displayed as tiles, sortable by time and priority. Events processed by other operators are marked with a gray background, and their cells include the name of the Operator Protocol in which the processing has been completed. Users can now escalate an event to a specified operator. The parameters displayed along with the event are now selectable. For objects linked to a camera, they can now display a still image or recorded video of an event and zoom in on the alarm snapshot in a separate window. If an object is linked to multiple cameras, users can scroll between their images and can set video display in the Camera Window or ActiveX component. Set Bookmark checkbox All buttons and comments are now located on a single upper panel. An operator can now select several events, and work with them simultaneously. Another new feature added is a Set Bookmark checkbox for automatic creation of a bookmark in Video Footage when an event is processed by the operator. Operator's text comments are used for bookmark names. Incident management Additionally, a new feature added is the incident management function. If an operator selects an event, a list of required processing actions is displayed. The operator selects the required checkboxes, and information about their actions is added to text comments along with date/time stamps. In addition, the operator can now view processing instructions for events from any source object. Other new interfaces and enhancements The object context menu on the Map now includes an option to set the number of recent events to be displayed (up to 99). Introduced an option to request single frames or camera archives (also for cameras under a parent object) via the ActiveX component. The Main Control panel now includes the following information about the system - product name and version, installed subsystems' names and versions, available system objects list and the number of used objects, and license expiration date. Also added is a new graphs interface containing analog sensor data representations, and an interface allowing display of statistical data about objects' statuses as a table or a chart. User Rights Added support for Active Directory service, which enables synchronization between users and groups of the Intellect PSIM and their relevant Active Directory objects. When creating a new user rights group, operators can now import settings from an existing group. If multiple groups are selected, their combination is created. Added a setting to automatically shut down the session if the operator becomes idle. Added an option to limit the list of available actions on objects in video surveillance monitor and Map UIs. Added an option to disable frame/video export and printing a still frame from the video surveillance monitor. Auto Intellect 5.5 Introduced a module that uses the neural network to detect vehicle types. The module is capable of classifying passenger cars, vans, buses, trucks, and motorcycles. Integrated the IntLab container number recognition module. Updated the IntelliVision car number recognition module. Added support for new national license plate formats and running recognition on GPU and increased overall recognition quality. Basic virtual loop is now replaced with the IntelliVision virtual loop. The SDK for the AutoUragan LPR module is updated to version 3.7. Added new national formats and templates and increased operational stability. Updated VIT LPR module to version 2.7.2. Added new national formats and templates, increased recognition quality and stability; the GUI now includes tools for fine-tuning the module. Face Intellect 7.3 Integrated new YITU and SCT facial recognition modules. Updated VisionLabs facial recognition module to version 3.6.3. In the Tevian engine, recognition of emotion, race, and facial attributes (glasses, mustache, beard, hair color, headwear, etc.) was added to the existing age and gender guesstimation capabilities. Facial recognition now warns of faces covered with masks etc. and performs "liveness" checks to preclude identity spoofing. Operators can now use facial attributes for filtering, e.g., to find all males wearing glasses and/or with a beard. Emotion recognition allows you to evaluate the quality of personnel operations and the degree of customer satisfaction in banking, retail, and other industries. The Face Search tab now includes filters by name, department, and similarity rate, time window presets, and saving search parameters (filters) option. Operators can now launch a filtered search by double clicking a facial image in the captured/recognized faces log. Other new features: The full names of recognized persons now appear on live video under the facial bounding box; Users can now check an entire folder containing facial images against your DB; Facial recognition now has a configurable capture area; Facial DB replication across servers now allows a face to be added to all DBs by adding it to just one database. POS Intellect 5.4 Integration of the screening system allows data to be received from connected devices Integrated 5 models of POS terminals, 2 models of vehicle scales, a printer scales and the Sphinx screening management system that supports up to 5 handheld metal or metal/radiation detectors. The integration of the screening system allows data to be received from connected devices, recorded to the POS Intellect DB, used for captioning screening videos, and utilized for searching by text comments in Video Footage. The integrated solution allows one to control equipment and personnel operations for more efficient and reliable screening. In POS Intellect, existing integrations have been enhanced, and the wildcard search in captions has been introduced. Intellect Web Report System 3.4 The web report subsystem now includes new and updated reports, and new functions have been introduced. New Types of POS Reports - A "sweet-hearting" report allows one to view event video live. A canceled items report contains data filtered by specified cashiers and item names over a specified period. A canceled amount report is similar to the one previously listed and includes the total value of canceled items. New Types of Time and Attendance Reports A consolidated employees report contains data on the total number of employees in specified departments, and the number of employees staying in a specified area at the moment of reporting, or on a specified time/date. A detailed employees report contains data on the number of employees staying in a specified area during each day of a specified time period. Other New Report Types - A customer counter report contains information about the number of visitors who entered/exited a specified area over a specified period and is presented as a graph or as a table. A graphical report on events represents the number of events of a specified type for the selected types of objects over a specified time period. The exported report includes both a graph and a table. A pass card report contains information about the times of issuing pass cards for specified employees, or departments, as well as the types of cards and their expiration dates. A recognized rail car numbers report contains information about error detection with a check digit and a photo from the linked camera.
Genetec Inc., a renowned technology provider of unified security, public safety, operations, and business intelligence solutions announced the immediate availability of its next-generation mobile license plate recognition system. The new AutoVu SharpZ3 goes beyond traditional license plate identification and brings new levels of insight in vehicle analytics, situational awareness, and accuracy. Mobile ANPR Ideally suited to meet the needs of parking managers who use mobile ANPR as part of their enforcement activities, the new SharpZ3 can help them track the types of vehicle (car, van, truck, bus, motorcycle) in parking lots or around the city, and analyze the evolution of the mix of vehicle types over time. SharpZ3 allows patrols to flag vehicles based on vehicle type and color For law enforcement officers who use mobile ANPR to aid investigations, the SharpZ3 allows patrols to flag vehicles based on vehicle type and color where no license plate was identified by a witness. Computer vision technology “Traditional ANPR systems solve traditional parking and law enforcement challenges, like finding vehicles of interest and parking violators,” said Stephan Kaiser, AutoVu General Manager at Genetec. “The SharpZ3 tackles emerging problems that are not served by current technology, helping customers gain new insights into the types of vehicles in their city and how their streets and curbs are used.” The AutoVu™ SharpZ3 is among the first specialized in-vehicle ANPR systems in the world to use Intel’s latest machine learning and computer vision technology to unlock new insights through innovative analytics. The AutoVu SharpZ3 system will not only be able to improve the accuracy of license plate reads in difficult environments (such as bad weather, heavy traffic, and fast speeds), but will also be able to record additional vehicle characteristics such as, vehicle type, color, and more, in real-time, and without requiring large amounts of bandwidth. ANPR-equipped vehicles With its modular design, SharpZ3 gives users the flexibility to add new functionalities over time Designed with a third optical sensor, the AutoVu SharpZ3 can accurately capture multiple plate designs in complex urban environments. These include flat, embossed, reflective and non-reflective license plates. The extra sensor will also allow more precise positioning of vehicle data on maps to provide more precise occupancy data than before. With its modular design, the SharpZ3 gives users the flexibility to add new functionalities over time. This reduces the complication and cost of hardware replacement. With future releases, the machine learning capabilities in the AutoVu SharpZ3 will enable a number of new potential applications such as enabling cities to use their ANPR-equipped vehicles to address other operational issues including detecting unpermitted road construction, discovering abandoned e-scooters or bikes in unauthorized zones, and more. Operations and intelligence solutions The AutoVu SharpZ3, and the complete portfolio of Genetec security, operations and intelligence solutions will be on display April 20-22, 2020 at Genetec Connect’DX (#GenetecConnectDX), the company’s three-day, live, virtual tradeshow.
Videalert, one of the UK’s suppliers of intelligent traffic enforcement and management solutions, announces the immediate availability of Stingray, a new modular ANPR camera solution. Designed for use with Videalert’s expanding range of multi-purpose Mobile Enforcement Vehicles (MEV), this modular solution features the latest generation of HD cameras with upgraded infra-red lighting to deliver enhanced capture rates and increased productivity in all parking and traffic management applications. Delivering higher productivity According to Tim Daniels, Sales and Marketing Director of Videalert: “This innovative new camera solution will be fitted to all our new MEV platforms and can be retrofitted to existing vehicles. It can deliver higher productivity as number plate read rates of over 98% can be achieved in a wide range of applications with vehicles being driven at normal road speeds.” Stingray includes the latest generation HD ONVIF-compliant cameras Stingray includes the latest generation HD ONVIF-compliant cameras and all networking components in a simply styled roof-mounted pod that is easier to install as well as being less obtrusive than individual roof-rack mounted units. It features integrated, upgraded infra-red lighting which accurately captures crisp images of reflective number plates at distances of up to 40 metres. A full color overview module also captures contextual images of vehicles in both daylight and challenging light conditions. Rapid deployment in different enforcement “Maintenance is also simplified as the complete housing can be quickly replaced in the event of a parts failure,” continued Daniels. “This minimizes down time for MEVs and to further increase productivity.” Videalert also provides a complete suite of software for rapid deployment in different enforcement and monitoring applications. The MEVs are fully compatible with Videalert’s hosted Digital Video Platform, allowing councils to quickly extend enforcement to other areas without having to make further investment in IT infrastructure.
Security and Safety Things GmbH is returning to ISC West 2020 and will showcase its new open Application Store, featuring more than 40 ready-to-use applications for security cameras, with another 30 apps currently under development. The AI-enabled apps can be flexibly combined to allow end users and systems integrators to create custom solutions for specific applications and offer developers and solution providers the ability to monetize their solutions. The new platform will be highlighted at the Security and Safety Things booth #20060 at ISC West 2020, to be held March 18-20 at the Sands Convention Center in Las Vegas, Nev. Situational intelligence The applications in the Application Store, provided by third party developers, offer actionable insights and situational intelligence to facility and site managers, as well as operators in a variety of different verticals using AI and other sophisticated video analytics. These apps run on IP cameras using Security and Safety Things’ open operating system based on the Android Open Source Project (AOSP). End users and systems integrators will benefit from both the increased speed of innovation and the added flexibility" This open IoT platform harnessing both an application store and an open OS leverages the processing and analytic power of modern IP cameras and offers a plug-and-play approach. “Our IoT ecosystem provides a standardized platform for innovative applications that are built on state of the art AI technology upon our open operating system, which enables them to run on multiple camera brands,” said Hartmut Schaper, chief executive officer, Security and Safety Things. Value in the security industry “The ecosystem is set to inspire innovation and empower developers to quickly turn their ideas into products that create value in the security industry and beyond. At the same time, end users and systems integrators will benefit from both the increased speed of innovation and the added flexibility of combining and adapting cameras and applications throughout the full lifecycle.” More than 15 developers and their unique applications, including high-speed license plate recognition, privacy compliance solutions and drone threat detection, will be shown at the Security and Safety Things’ booth, in tandem with seven camera manufacturers exhibiting their open OS cameras running live third-party applications. The Application Store will be demonstrated using large, interactive displays to depict the ecosystem’s deployment in a marketplace setting. Device Management Tool Developers include CVEDIA and its app for drone threat detection and classification for use in airport or stadium settings. Neurala will be showcasing its app for object recognition and classification. Use cases include quality control and machine navigation. Other applications on display throughout the booth include queue detection at a snack kiosk demonstration and safety clothing detection at a mock construction site. Security and Safety Things’ ecosystem offers a Device Management Portal for integrators In addition to the Application Store, Security and Safety Things’ ecosystem offers a Device Management Portal for integrators, allowing them to manage their cameras and applications as well as providing information about the range of innovative solutions available within the ecosystem. A Device Management Tool further allows the deployment of applications to offline cameras. Open industry standard platform Also partnering with Security and Safety Things on its booth is the Open Security and Safety Alliance (OSSA). OSSA is a standardization initiative whose goal is to bring together like-minded organizations, while creating a framework to provide standards and specifications for common components in the industry. Security and Safety Things is working closely with OSSA to establish an open industry standard platform and ecosystem. Security and Safety Things is a wholly-owned subsidiary of Robert Bosch GmbH and is part of Bosch’s strategic development of new digital growth markets. In the future, Security and Safety Things wants to attract further investors and accelerate the expansion of its global ecosystem through external partners.
On November 2019 in Stockton, California, surveillance footage found that vandals shot out glass windows and doors in many places in a small business complex (FOX40). The intruders broke in only to leave with nothing, proving their intent was solely to vandalize the property. Meanwhile, it was reported that a trio of ATM thieves struck around 9 times across many different locations inside Brooklyn and Queens within just over a month in fall 2019 (ATM Marketplace). On average, the cost of vandalism to SMB is around $3,370 per incident (US Small Business Administration), including a staggering 692 vehicle vandalism claims per day. Likewise, the average cost of theft to SMB is about $300 per shoplifting incident and $1,500 per employee theft incident, which accounts for 38% and 34.5% of all theft instances, respectively (National Retail Security Survey). High-performance artificial intelligent systems can automate the monitoring tasks Vandalism and theft have proven time and time again to be inconvenient and deconstructively harmful towards SMB. However, these financial burdens can be prevented with the use of the right security system. AI-based security systems with Deep Learning contain many features that many SMB owners find advantageous in their pursuit to stop unwarranted and unwanted money loss. Intrusion And Loitering Detection The first of many features that can help with vandalism and theft prevention is Intrusion Detection. High-performance artificial intelligent systems can automate the monitoring tasks for high-risk sites to provide a high level of security and security personnel monitoring efficiency. Traditional intrusion detection systems detect objects based on size and location, but they do not recognize the type of objects. Now, Intrusion Detection (Perimeter Protection) systems with cutting-edge, built-in AI algorithms to recognize a plethora of different object types, can distinguish objects of interest, thus significantly decreases the false-positive intrusion rate. The more advanced AI-based systems, like those we offered at IronYun, enable the users to draw ROIs based on break-in points, areas of high-valuables, and any other preference to where alerts may be beneficial. Similarly, AI Loitering Detection can be used to receive alerts on suspicious activity outside any given store. The loitering time and region of interest are customizable in particular systems, which allows for a range of detection options. Advanced loitering detection software as such can detect and trigger real-time alerts for both people loitering and/or vehicles that are illegally parked in certain areas of interest. A benefit, which only certain advanced systems contain, is the ability to send trigger actions to 3rd-party systems in reaction to receiving an alert of loitering and/or intrusion detection. These trigger actions can be set to contact authorities immediately and/or trigger a scare tactic alarm or announcement to intruder/loiterer. Certain Face Recognition and License Plate Recognition software can record individual people/vehicles Face And License Plate Recognition In addition to the activity detection solutions, certain Face Recognition and License Plate Recognition software can record individual people/vehicles and use pre-configured lists to identify particular faces or plates that may be of interest, such as those in watchlists. These systems can also enable the users to upload images of faces not in the lists and search for them in the camera recording. For instance, if a person is detected several times loitering outside a store, one may save one of the detection photos into the watchlist, and set up an alert when said face is recognized again outside the building in the future. The alerts will help to deter and prevent vandalism or theft, and notify the authorities to the scene before the troublemaker completes the act. The main attributes of high-performance Face Recognition systems which maximize assistance with vandalism and theft management include: Face match rate > 90% with good camera angles and lighting. Processing multiple streams and multiple faces per image. Live face extraction and matching to databases of thousands of faces within 3 seconds. State-of-the-art AI security software with Deep Learning allows the user to no longer need to install special LPR cameras If the watchlist individual is wearing a mask or their face is not in view of the camera, their license plate may be a good indicator. If a particular car is detected several times loitering in the parking lot or street outside a store, the user can set the alerts for such car to get notified in the future. With an AI solution like this, common street cameras should be equipped with LPR capabilities. So, state-of-the-art AI security software with Deep Learning allows the user to no longer need to install special LPR cameras. High-Performance Alert Mechanisms A high-performance AI solution, in addition to having high accuracy, should be able to: Easily integrate with 3rd-party systems Work well with all ONVIF IP cameras including infrared and thermal ones (for Intrusion detection) Analyzes video streams in real time and trigger alerts within a few seconds Send alerts to multiple VMSs, connect with signaling devices such as loud speakers or flashing lights Send email notifications to security staff and police departments Send notification on mobile device using AI NVR mobile app Maintains a record of all alerts to provide evidence of intrusion and loitering instances for police and insurance agencies. To assist in theft and vandalism prevention, AI-based security systems with deep learning will do all of the tedious work for you. Their low cost and high performance also make them the most accessible security solutions in the market with large return on investment. Stopping crimes is a difficult, ongoing challenge, but with the right AI software, business vendors and police departments can do so with more ease.
Video surveillance is commonly associated with security. But in most cases, it's used to record incidents and assist in investigations after the fact rather than prevent undesirable events. Artificial intelligence–powered video analytics is a highly promising trend that fundamentally changes the way things work. Extracting manageable data from a video stream can help recognize risky situations early on, minimizing damage and, ideally, completely avoid emergencies. At the same time, AI significantly expands the areas of application of video surveillance beyond security systems. AI significantly expands the areas of application of video surveillance beyond security system However, the hype around this new, trendy technology prevents the potential user from choosing quality solutions in a wide variety of products. This often leads to over-expectation, followed by a complete let-down. Can AI-powered video analytics really be the key to a technological breakthrough in video surveillance? We'll take a look at what the technology can do, what it can't, and where it can go from here. Technological Breakthrough Or Just Another Bubble? It's often said that the video management software (VMS) market is becoming increasingly commoditized and widely available. A lot of products with similar features (or, at least, similar promises from the manufacturer) make it hard to choose. As a result, vendor names and reputations are turning into one of their primary selling points. Manufacturers have two choices available: get wrapped up in a price war and rely on cutting expenses, or offer a product that's truly innovative and revolutionary. Manufacturers have two choices available: get wrapped up in a price war, or offer a product that's truly innovative and revolutionary VMS developers who choose the second route are gravitating towards creating products that use artificial intelligence based on neural networks and deep learning. Emerging two or three years ago, the AI video analytics market is experiencing a boom in growth. This new tech wave has stirred the still, stagnant backwaters of the VMS world and gave small, ambitious developers something to be optimistic about. It seems they now have a chance to emerge as market leaders in the next few years. However, the hype around this popular trend is raising reasonable concerns among experienced security industry professionals. These concerns come from clients looking for a solution to their problems, and from suppliers building a long-term development strategy. This largely resembles another tech bubble, like the one built up around pre-AI video analytics and burst when it became clear that the promises around it were pure marketing hype. However, there are factors that indicate that AI-powered video surveillance systems aren't another bubble. The Three Factors The first — and the main one — comes from systems already in place on customers' sites. They fulfill the same promises made during the previous bubble by hotheads in a rush to teach the computer to analyze events in real time using a classical algorithmic approach. The second is the fact that this new technology has seen investment from not only software and cloud startups, but also established VMS developers. Even giants like Intel, which has presented a full line of neural network accelerator hardware and a set of software tools that streamlines working with them, specifically in the field of computer vision. This new technology has seen investment from not only software and cloud startups, but also established VMS developers The third factor lies in artificial intelligence's abilities. AI plays chess, drives cars, and works wonders in many other fields. Why shouldn't it be applied to video monitoring and analysis? What AI Can Do Just what can artificial intelligence do in video surveillance systems at this stage of development? It can't quite analyze a sequence of events and understand the "logic" of what's happening in the cameras' field of view. At least not yet. But it's probable that AI will learn to do this in the next few years. But neural network analytics can already detect, classify, and track objects very well, providing high accuracy even in busy scenes. Artificial intelligence can be used in the real world to: Detect smoke and flames for early fire warning at open areas (forest, open warehouse, parking lot, etc.); Distinguish people/vehicles from animals and other moving objects, e.g. to protect the perimeter of a nature park from poachers; Distinguish a person in a helmet and protective clothing from a person without them to prevent accidents at a dangerous production facility or construction site; Count objects of a specific type, e.g. cars in a parking lot, people in the sales floor, wares moving on a conveyor belt, etc. in non-security-related solutions. Those are just a few examples. After training a neural network, it can tackle other, similar tasks, too. Generally, a neural network trained in specific conditions isn't replicable. In other words, it won't work as well under different conditions. On the other hand, developers have learned how to quickly train AI for the needs of a specific project. The most important requirement is having enough video footage. Somewhat apart from that is the use of neural networks in facial and automatic number-plate recognition. This is an example of reproducible neural networks (train once, deploy everywhere), which makes them more appealing commercially. If non-reproducible neural networks have only recently become economically feasible due to the rapid evolution of specialized hardware (aforementioned Intel's product, for example), then the use of AI in facial recognition and ANPR has been well established for a long time. The use of AI in facial recognition and ANPR has been well established for a long time Another kind of AI analytics that we'll explore is behavior analytics. This function, probably more than any other, is bringing video surveillance systems closer to understanding what's happening on camera. Its potential is vast. How Behavior Analytics Works From a technical point of view, behavior analytics combines artificial intelligence with a classic algorithmic approach. A neural network trained on a multitude of scenarios can determine the position of the bodies, heads, and limbs of humans in the camera's field of view. The algorithm outputs an array of data containing descriptions of their poses. Conditions can be set for data to detect a specific pose, such as raised hands, prostrated or crouching persons. Developers can use this to quickly create new detection tools to identify potentially dangerous behavior specified by a government or business client. There's no need for additional training of the neural network. How Behavior Analytics Can Be Deployed Someone crouched down next to an ATM could be a technician, CIT guard, or burglar. Bank security should be notified in any of the cases. A person in shooter position, together with a bank employee or cashier with their hands raised could indicate a robbery. The system can be configured to automatically send alerts with a surveillance snapshot to the police so they can assess the threat and take action if needed. It's vital that the police receive the alert, even if the employee is unable to activate the alarm. In many cases, attention should be directed to a prostrate individual. This could be somebody who needs immediate help, or it could be someone sleeping in an inappropriate public place, for example, a 24/7 ATM space. Behavioral analytics can also be used to ensure workplace safety. For example, tracking whether employees are holding the handrails when using the stairs at a manufacturing facility or a construction site. What Now? Behavior analytics can be deployed wherever your clients' imagination takes them. With this feature, practically any pose that indicates potentially dangerous behavior can be detected. Timely response to an alarm helps avoid material damages or, in other situations, casualties. Practically any pose that indicates potentially dangerous behavior can be detected An area of potential development for behavior analytics is the ability to analyze a sequence of poses by the same person or a combination of poses and relative positions of several individuals. That will be the next level of evolution in AI's use in video surveillance: moving from "detecting" to "understanding" behavior in real time. In its most basic form, this type of analytics can be deployed to detect deviations from the search procedure in correctional facilities when a person being inspected must assume a pre-defined sequence of poses. A more advanced form allows it to detect any kind of abnormal behavior, such as a brawl breaking out in a public space. Ideally, behavior analytics can predict dangerous situations based on nearly imperceptible cues gleaned from collected statistics and a Big Data analysis. At the moment, this sounds like pure fantasy, but what seemed like whimsy not too long ago is now a reality with AI. It's already beaten humans in chess and the game of Go (Weiqi). Will artificial intelligence be able to outplay humans at charades one day? It's entirely possible that we'll soon see for ourselves.
According to the reports of not-for-profit organization Gun Violence Archive, the year 2018 has seen 323 mass shooting incidents as of November 28 in the United States. This number is 346 for the year 2017 and 382 for 2016 (more statistics are available here), with “mass shooting” defined as cases where four or more people are shot or killed in the same time period and location. While definitions of mass shooting vary with organizations in the US, the count of over 300 incidents per year, or about once per day on average, is simply alarming. It raises public safety concerns, ignites debates and protests, which in turn lead to public unrest and potentially more violence, and increases costs for governments from the regional to federal level. Most importantly, the loss of lives demands not only improvement in post-incident handling and investigation, but also new prevention technologies. Gunshot Detection Solutions AI weapon detection offers a more efficient alternative to prevent active shooting There are several gunshot detection solutions in the security market, commonly used by law enforcement agencies to detect and locate gun fires. These systems function based on acoustic recordings and analyses and often in combination with signals detected by sensors of the optical flash and shockwave when a gun is fired. However, gunshot detection by nature dictates that the law enforcement can only react to a shooting incident that has occurred. With fast action, law enforcement can prevent the incident from escalating, but lives that are lost cannot be recovered. With the development of artificial intelligence in object recognition, AI weapon detection offers a more efficient alternative to prevent active shooting: AI can visually detect guns based on their shapes before they are fired. The AI is trained to recognize firearms in different shapes, sizes, colors, and at different angles in videos, so that the AI weapon detector can be deployed with existing cameras systems, analyze the video feeds, and instantly notify security staff when a gun is spotted. Comparison of the advantages for law enforcement and public security agencies Legacy gunshot detection using sensors AI weapon detection Reactive measure: detect after guns have been fired Proactive measure: detect before guns are fired Time to action: within 1 second Time to action: within 1 second Unable to provide visual data about shooter(s) Can provide data about shooter(s) based on the camera recording: clothing, luggage (backpack, handbag, etc.), facial features, vehicle Unable to track the location of the shooter(s) before and after shooting because of the lack of sound Can track the shooter(s) using AI Person & Vehicle Tracking, AI Face Recognition, and AI License Plate Recognition False detection caused by similar sound such as fireworks and cars backfiring Minimal to no false detection, as AI can distinguish different types of handguns and rifles from normal objects (umbrella, cellphone, etc.) Require physical deployment of gunshot detection sensors Can be used with existing camera systems, do not require special hardware Complicated to deploy, require highly trained professional Easy to deploy as an add-on to existing video surveillance system - Can integrate with gun-shot detection to create a “double knock” audio and video active shooter alert system Gun-Shot Detection Advantages In addition to advantages for law enforcement and public security agencies, this type of visual-based pre-incident detector has three-fold advantages for the public: Save lives by spotting the shooter before the shooting event. Minimize the chaos entailing an incident: panic and chaos caused by a shooting incident often adds to injury, as people run, fall, trample on others… With an AI weapon detector, when a gun is spotted, the system sends an alert to security staff, who can quickly control the situation in an organized manner and apprehend the intending shooter. Can be added as a SaaS (Security as a Service) component to small business and home surveillance systems, e.g., intrusion detection alerts (home invasion incidents with firearms number over 2500 per year nationwide). For a complete active shooter detection system, video-based AI detector can operate in conjunction with gunshot detectors for enhanced security. Traditional X-ray based weapon detection or metal detection entrance systems are complicated and expensive; with AI video technology, active shooter detection system can be cost-effective, and after all, what price tag can one put on a life? Written by Paul Sun and Mai Truong, IronYun
Security’s intersection with consumer electronics is on view at CES 2020, the world’s largest technology event, Jan. 7-10 in Las Vegas. The giant show features more than 170,000 attendees, 4,500 exhibitors and 1,100 industry thought-leaders featured on the CES stage. A range of technologies will be on display, from artificial intelligence (AI) to 5G, vehicle technology to AR/VR (augmented and virtual reality), robotics to home automation. Security plays a prominent role, too.The impact of this event for the smart home could be about delivering home analytics and enhancing privacy" Smart home market on the forefront The smart home market is a major focus. “For the smart home market at CES this year, we expect to see numerous announcements regarding home awareness,” says Blake Kozak, Senior Principal Analyst at IHS Markit. “This will include brands offering up additional analytics for consumer security cameras with a focus on edge-based solutions.” “The impact of this [event] for the smart home could be about delivering home analytics and enhancing privacy through cloudless architectures and new electronic door lock approaches,” he adds. An example of cloud analytics is the Resideo Home app, introduced in December, which will make whole-home monitoring possible for four critical networks of the home – water, air, energy and security. Resideo promises a “simplified and integrated smart home experience.” Video is also prominent at the show. “For cameras, we can expect to see more cameras focused on the outdoor space and possibly new form factors for video doorbells,” says Kozak. Familiar security industry brands exhibiting at CES 2020 include ADT, Ring, August Home and Yale (both part of ASSA ABLOY), Bosch and Alarm.com. Focus on Cybersecurity In 2020, companies will continue to focus on solutions for protecting consumer data" Cybersecurity is an aspect of many of the devices on display at CES. “Device security and data privacy play a key role in the adoption of connected devices,” says Elizabeth Parks, President, Parks Associates. “Consumer security concerns for smart home products will continue to be a barrier to adoption in the U.S. and Europe, and these concerns can actually intensify with device adoption-71% of U.S. smart home households are concerned about cybersecurity. In 2020, companies will continue to focus on solutions for protecting consumer data. One big area of interest is protection on the network router, providing whole home solutions, which are very appealing to consumers.” “At CES we will see the traditional players introducing new DIY (do-it-yourself) products, as well as new players announcing new product features, services, and partnerships,” Parks adds. Smart access control Smart locks will be among the security products at CES 2020. For example, PassiveBolt, a lock company, will show the Shepherd Lock, a touch-enabled smart lock with enhanced security through sensors and AI. The add-on lock converts existing locksets into touch-activated devices. Another lock manufacturer is Kwikset, whose door locks and door hardware include Wi-Fi-enabled smart locks, Bluetooth-enabled smart locks, keyless and keyway-less locks and connected home technology. Video doorbells, including industry-innovator Ring, have been a hit in the consumer market. At CES, Ring will expand the mission to make neighborhoods safer by creating a “Ring of Security” around homes and communities with a suite of home security products and services. The “Neighbors by Ring” app enables affordable, complete, proactive home and neighborhood security. Homeguard offers a range of affordable CCTV solutions for home and small business DIY CCTV demonstrations DIY security systems are another market. Homeguard is a leading DIY consumer brand offering a range of affordable CCTV solutions for home and small business, including wired and wireless CCTV kits, smart cameras, home alarm systems and wire-free HD CCTV kits. Swann Communications is also at the forefront of surveillance and monitoring with new products developments including wire-free HD cameras and doorbells, professional CCTV video surveillance systems, and 1080p full HD systems with “True Detect” heat and motion sensing. AVTECH, and subsidiary YesGo Tech, will demonstrate a compact Wi-Fi home security set, a series of special cameras with face recognition, thermal detection and license plate recognition, customized central management software and a university ID tag that is compatible with access control, OEM and ODM opportunities. Security and automation solutions D-Link’s home networking, security and automation solutions will help consumers connect, view, share, entertain, work and play. SECO-LARM, manufacturer of a Room Occupancy Monitor that shows whether a room is in use, has a line of keypads and proximity readers with built-in Bluetooth for convenient access. Another smart home security solutions provider, Climax Technology, integrates wireless security, home automation, energy management, home emergency monitoring and live visual monitoring. Personal safety mobile application Manufacturers are positioning outdoor cameras as deterrents to theft before a burglary happens" WaryMe designs and develops a personal safety mobile application to improve a user’s security in public places, schools, transports and companies by addressing major risks such as terrorism attacks, intrusion, fire and even industrial accidents. An all-in-one mobile application integrates alerting, crisis management and mass notification features. “Market players are looking to expand beyond established smart home devices like smart thermostats and networked cameras to products like smart water leak detectors, smart pet feeders, and smart air purifiers,” says Elizabeth Parks. “Manufacturers are positioning outdoor cameras as deterrents to theft before a burglary happens. This trend is part of a broader security marketing effort to extend the perimeter of home security beyond traditional home access points.” “Familiarity with smart home devices lags behind familiarity with smart entertainment products; it even lags that of smart speakers, which are quite new in the market,” adds Parks. “In 2020, we will see players working to advance the visibility and marketing around device integration, and specifically focus on use case scenarios around safety, security, and convenience, which have always been the primary drivers of adoption of these types of products.”
Artificial intelligence (AI) is expanding the capabilities of license plate readers and vehicle identification systems. Within a smart/safe city scenario, automatic license plate reader solutions are used to help analyze real-time video streams for site surveillance, inspection and public safety, and to offer actional information through a network of connected camera systems. Outside of law enforcement, this can include other public safety initiatives such as traffic tolls, car counting, and parking security. Vehicle recognition systems Rekor Systems is a provider of vehicle recognition systems in more than 60 countries Using AI to enable video cameras, Rekor Systems is a provider of vehicle recognition systems in more than 60 countries. Applications include security and surveillance, public safety, electronic toll collection, brand loyalty, parking operations, banking and insurance, logistics, and traffic management. AI allows Rekor’s products to recognize and read license plates, while also providing information about each vehicle, including color, make, year, and model. Rekor’s products are powered by OpenALPR software, an AI-based solution that enables any IP (internet protocol) surveillance camera to scan license plates and provide vehicle data including tag number, make, model, and color in real time with 99% accuracy, according to the company. Rekor’s products are powered by OpenALPR software Integrated solutions “Rekor's software started as an open source project, and we have done our best to keep the commercial software as open as possible,” says Rod Hillman, Chief Operating Officer, Rekor Systems. “One of the challenges we see with others in our space is a tendency to ‘close off’ and ‘silo’ their solutions. Our goal is to make it as simple as possible to deploy, integrate, and ultimately use.” Rekor has numerous application programming interfaces (APIs) and ways the solution can be integrated into partners' solutions with a software development kit (SDK). Rekor solutions can be purchased directly or through a worldwide partner network of integrators, wholesalers, and within integrated solutions such as Nokia's smart city platform. Electronic toll collection Rekor’s solutions have viable applications within multiple markets While many systems are hardware-based, Rekor’s software-as-a-solution offering can turn an IP camera into an automatic license plate reader. Rekor’s solutions have viable applications within multiple markets, including law enforcement, security and surveillance, electronic toll collection, parking operations, banking and insurance, logistics, traffic management, and customer experience. “Rekor offers a cost-effective alternative to traditional LPR systems with a much higher accuracy rate at 99% allowing more cameras to be present and active at any given time,” says Hillman. “Traditional LPRs need someone to go through hours of footage to find what they are looking for while Rekor’s technology will send alerts in real time, resulting in much quicker response times.” Move Over Camera mounts onto roadside worker’s vehicles to capture ‘Move Over’ violations Two-Part authentication Rekor’s products include: NUMERUS, a cloud-based solution for high-volume vehicle recognition, designed to reduce costs and increase efficiencies for the electronic toll collecting industry. Two-part authentication instantly identifies the vehicle’s make, model, color and body type along with the license plate read. Machine-learning-enabled software recognizes license plates from all 50 U.S. states, in addition to plates from more than 70 countries on six continents. Edge, an all-in-one camera and vehicle recognition system that instantly reads vehicle license plates, along with the vehicle’s make, model, color and body type. Move Over Camera, which mounts onto roadside worker’s vehicles (police, tow truck, etc.) to capture ‘Move Over’ violations. ‘Move Over’ laws state that vehicles must move over one lane and/or slow down if they cannot move over to avoid incident while roadside workers are in the shoulder lane. The camera can detect what lane vehicles are in and how fast they are moving. Violators are flagged in the system for law enforcement’s review.
The basic need for public safety is one of the biggest forces driving the adoption of smart city solutions: approaches that seek to solve urban challenges through technological means. The thinking behind these initiatives is that with enough internet connectivity and real-time data, surely environmental, social, economic, and public health issues should become more manageable. However, just adding more technology is not the whole answer. Although technology is necessary for an urban area to transition in to a safe and smart city, technology alone isn’t sufficient. Truly smart cities are savvy cities and that includes how they employ software, sensing, communications and other technologies to meet their needs. Cities need solutions that help find what you need and convert the ‘too much information’ into ‘actionable intelligence’ Some of those initiatives, however, like red light cameras or computerized flight passenger screening systems, have amounted to little more than ‘security theater’, which might waste limited resources and further delay the smart city transition due to over-hyped solutions and unrealistic projected return on investment. In other words, technology doesn’t necessarily result in more safety. But does this mean we are also more likely to quickly find what we need? Cities need solutions that help find what you need (e.g. a missing child or a suspect) and convert the ‘too much information’ into ‘actionable intelligence’. Data capture form to appear here! Better connectivity promotes safety There is a growing shift towards younger generations wanting to live in the city where they have access to public transportation, restaurants and entertainment. They also expect to live in a safer environment, and this is where the smart city approach comes into play with the introduction of WiFi in parks and public spaces, along with surveillance systems. These two solutions and services can now sit on the same network, thanks to better connectivity options and interference free solutions, such as mmWave wireless radios. Younger generations expect to live in a safer environment, and this is where the smart city approach comes into play with the introduction of WiFi in parks and public spaces, along with surveillance systems For example, Siklu Inc., a provider of mmWave wireless solutions, announces Smart City deployments based on Siklu’s broad E-band and V-band product portfolio previously reached, and now have likely surpassed, a milestone of 100 cities installed. Smart Cities, which were initially defined as municipalities connecting low data rate sensors for water, gas and more, have been evolving to demand high-capacity connectivity at gigabit-per-second speed. This high-bandwidth network infrastructure is needed to support new applications such as video security, public Wi-Fi backhaul, and private city network deployments. Linking AI and smart cities Dubai is an example of how artificial intelligence and smart city projects have become intrinsically linked. Under the leadership of His Highness Sheikh Mohammed bin Rashid al Maktoum, authorities in Dubai have set out to “make Dubai the happiest city on Earth” by adopting cutting-edge smart city initiatives. Dubai Police has launched a range of public safety initiatives including Smart Police iOS apps, traffic accident and location systems, and SOS apps for wearable devices. Dubai Police shows how artificial intelligence can power new Robocop prototypes – unarmed, life-sized patrolling robots carrying facial recognition software and automatic license plate recognition (ALPR). Authorities in Dubai have set out to “make Dubai the happiest city on Earth” by adopting cutting-edge smart city initiatives NVIDIA’s Metropolis™ intelligent video analytics platform is paving the way for the creation of AI cities. Metropolis Deep Learning makes cities safer and smarter by applying deep learning to video streams for applications such as public safety, traffic management and resource optimization. More than 50 NVIDIA AI city partner companies are already providing products and applications that use deep learning on GPUs. “Deep learning is enabling powerful intelligent video analytics that turn anonymized video into real-time valuable insights, enhancing safety and improving lives,” said Deepu Talla, vice president and general manager of the Tegra business at NVIDIA. “The NVIDIA Metropolis platform enables customers to put AI behind every video stream to create smarter cities.” Smarter access control in cities Advanced software suites can provide access to all operations performed by users A smart city is one that uses information and communication technologies to increase operational efficiency, share information with the public and improve both the quality of government services and resident welfare. Smart access control is an important step forward in providing technologically advanced security management and access solutions to support the ambitions of smart cities and their respectively smart industries. With high volumes of people entering and exiting different areas of the city, it is important to be able to trace who has been where, when and for how long. Advanced software suites can provide access to all operations performed by users, including a complete audit trail. This information is often used by business owners or managers for audits, improvements or compliance. Read parts two and three of our Smart Cities miniseries.
SL Green Realty Corp., one of Manhattan's largest office landlord, has appointed Sharry to be a technology partner for the One Vanderbilt project scheduled to be opened in September 2020 in midtown Manhattan. Smart, integrated building systems Sharry is a pioneer in the newly emerging market of PropTech (property & technology). The company supplies an ecosystem of smart and integrated functions for premium commercial office buildings and customers in the Americas, Africa, and Europe. Recently, Sharry, the PropTech company, announced a new touch-free elevator system for COVID-safe buildings. One Vanderbilt Sharry was appointed by SL Green Realty to be a technology partner for One Vanderbilt in New York" A sky-line defining skyscraper tower, One Vanderbilt will be the epitome of the 21st century workplace space. Developed by SL Green Corp., the 1,401-foot-tall (427 m) commercial office building will be the 5th tallest building in the U.S. TD Bank is signed on as the anchor tenant of the 1.7-million-square-foot property, which is due to open in September of 2020. All users and tenants will be equipped with smart and mobile products delivered by Sharry. “Sharry was appointed by SL Green Realty to be a technology partner for One Vanderbilt in New York,” confirms Michal Cerovsky, Chief Operations Officer (COO) and a Co-Founder of Sharry. The company is headquartered in Prague, Czech Republic, EU. Digital solutions for a safer work environment "One Vanderbilt is already an architectural icon in New York, but its completion will open a new era in which digital solutions will provide a healthier and safer work environment," adds Vladimír Mašinský, Head of Business Development at Sharry, who also manages Sharry's partnership with SL Green Realty. Anchoring the modernization of East Midtown region of New York City, One Vanderbilt will provide tenants with an impressive slate of amenities unrivaled in history of real estate in NYC, including a 30,000-square-foot tenant-only amenity floor with large format meeting spaces, club-style lounge and an extraordinary outdoor terrace. Direct connection to transit network Immediately adjacent to Grand Central Terminal, the building will create direct connections to the surrounding transit network. The building will also include an 11,000-square-foot high-design restaurant from world-renowned chef, Daniel Boulud. SL Green’s unprecedented US$ 220 million private investment to improve Grand Central’s public transit infrastructure has already begun to materialize. Tenants include a star roster of top-tier financial, banking and legal firms that have committed to One Vanderbilt. Integrating individual services and technological systems There are many innovations by Sharry that improve the commercial office building experience “It's a major milestone for Sharry to be a partner of the One Vanderbilt project, a prominent part of the New York City skyline, less than four years after the company was founded. At the same time, it tells us that we were correct in taking the more demanding approach, integrating individual services and technological systems available in buildings into a single platform,” said Josef Šachta, CEO and Co-Founder of Sharry. There are many innovations by Sharry that improve the commercial office building experience. The company brings in a new set of smart features integrated to the building, such as mobile access that allows workers to open doors or turnstiles, just with their smartphones. If the workers drive, a smart camera link recognizes their license plate and opens the gates. Smart parking management Parking management ensures maximal utilization of parking spots. All users can take advantage of a tenant engagement platform for sharing important building-related news, chatting with other users, or booking shared amenities. Visitors to buildings where software from Sharry is installed can also expect the utmost in convenience. "A guest will receive a meeting invitation with a QR code. They can reserve a parking space, and the system will then automatically let in upon arrival thanks to smart cameras. The guests will then report to the reception using the QR code, just like check-in at airports. The host who invited the guest will then be notified that their visitor is already in the lobby," said Product Manager, Ondřej Langr, in describing another example of the multi-level integration offered by Sharry. Touch-free elevator system for COVID-safe buildings Recently, the company has announced a touch-free elevator system for COVID-safe buildings Recently, the company has announced a touch-free elevator system for COVID-safe buildings as its latest innovation. This anti-coronavirus feature enabling users to control elevators from their mobile phones or smart watches will be presented during Q3/2020 in the Sharry Workplace product line as part of a revolutionary mobile access system. Along with One Vanderbilt, Sharry is completing the implementation of its smart tools ecosystem in several other office buildings on the East coast of the USA. Thanks to these projects, it is firmly placed among the top players in the PropTech segment and especially in NYC, which last year ranked first on the Tech Cities index, which is compiled by the Savills consulting company. “We always wanted our software to be in the best buildings in every city to which we expanded. And New York was our dream destination. I am very proud of our entire team that we can work together here on the iconic building One Vanderbilt will soon be,” adds Josef Šachta.
Haier Group, China’s renowned home appliance manufacturer, has built a new industrial park in Russia to cope with the growing demand in Europe. Covering a total area of about 124.9 hectares, the new site is located in Naberezhnye Chelny, an important industrial city in Tatarstan, Russia. Intelligent system With the gradual completion of its factories in the industrial park, Haier is looking for an intelligent system to realize multiple tasks within the whole industrial park. Firstly, the smart system should be able to prevent theft and timely detect people climbing over the perimeter fence. Secondly, the intelligent security system should provide comprehensive monitoring in the whole industrial park and inside the factory unit, which includes, monitoring of production line and employees’ smoking behavior during working hours at office areas, efficient employee attendance management, vehicle identification at the entrance and exit areas of the park, and the overall management of all the devices, data report outputs, and other facilities at the industrial park. Total smart solution The Dahua Russia team designed a complete smart solution incorporating AI cameras, perimeter cameras, ANPR system The Dahua Russia team designed a complete smart solution incorporating AI cameras, perimeter cameras, ANPR system, access control, time attendance system, face recognition barrier, DSS PRO platform and EVS storage for Haier’s industrial park. Notably, all of the devices were integrated in one central management platform, making it easier for operators to control and manage the system. In addition, the intelligent system also supports further device upgrade based on customer’s future plan for the next several years. Dahua 5MP WDR IR Bullet AI Network Cameras To help Haier solve the first problem, Dahua 5MP WDR IR Bullet AI Network Cameras were chosen to safeguard the perimeter of the Haier industrial park. Featuring active deterrence, the cameras are able to proactively warn intruders to leave before users take action. Once an intrusion is detected, a white light will turn on, accompanied by a buzzer to warn off the intruder. Additionally, its AI-powered perimeter protection function can greatly reduce false alarms caused by irrelevant objects. AI-powered perimeter protection The combination of advanced AI analytics and real-time alerts to desktop or mobile clients reduces system requirements and resources, thereby improving the efficiency of the surveillance system. The office areas and the interior of the washing machine factory are covered with Dahua 4MP WDR IR Dome Network Cameras, while public areas are monitored by 2MP 25x Starlight IR PTZ Network Cameras. As a member of Dahua Eco-savvy product family, the Dahua 4MP WDR IR Dome Network Cameras adopt upgraded H.265 encoding technology to provide starlight, Smart IR technology, as well as intelligent image analysis techniques. It saves bandwidth and storage, with energy-saving design to enhance monitoring performance of the system. Intelligent Video System analytic algorithm As for public areas, Dahua 2MP 25x Starlight IR PTZ Network Cameras have powerful optical zoom With built-in Intelligent Video System (IVS) analytic algorithm, these dome cameras also support intelligent functions to monitor a scene for tripwire violations, intrusion detection, and abandoned or missing objects. In the future, it can respond quickly and accurately to events in the monitored areas. As for public areas, Dahua 2MP 25x Starlight IR PTZ Network Cameras have powerful optical zoom and accurate pan/tilt/zoom performance that can provide a large monitoring range and rich details. Through the latest Starlight technology, the cameras can achieve excellent low-light performance. In addition, these cameras are equipped with smooth control, high quality image and good protection, which meet the requirements of most industrial parks. Dahua face recognition barriers Dahua face recognition barriers were deployed at the entrance of the Haier industrial park and its office building, allowing quick and touchless passage of registered Haier employees without using employee cards or other identification documents. The system is based on a deep learning algorithm powered by AI, which compares facial images captured by the camera with those stored in the library to verify a person’s identity and grant permission. Access will be denied for unregistered people. 2 Megapixel Full HD AI Access ANPR cameras The industrial park’s entrance and exit use 2 Megapixel Full HD AI Access ANPR cameras to identify entering and exiting vehicles. Boasting a capture rate of over 99%, the cameras can automatically recognize the number plate of a vehicle in low speed less than 40 kmph, and capture vehicle data such as vehicle direction, vehicle size and vehicle color detection (in daytime) based on deep learning algorithm. Aside from these capabilities, the cameras can also control the barrier according to the whitelist set by users and let registered vehicles pass without stopping. Dahua DSS PRO management platform The Dahua DSS PRO management platform integrates all cameras and the stated devices At the management center, all the information collected by font-end cameras will be transferred to a 16-HDD Enterprise Video Storage. With Seagate HDD, the device offers unparalleled capacity performance for users to store massive videos and obtain evidence when needed. The Dahua DSS PRO management platform integrates all cameras and the aforementioned devices, allowing operators to easily control and manage the system. Smart industrial park solution Dahua Technology’s smart industrial park solution has assisted Haier in creating a modern intelligent industrial park in Russia. The up-to-date Dahua AI equipment provides Haier a long-term smart security system with upgraded security level and enhanced management efficiency. “The traditional personnel management system requires manual registering of employee information and cards to enter and exit office areas, which is inefficient and difficult to manage, and often high in cost,” said Zhao Shengbo, Regional Director of Dahua CIS. Upgrading access verification system Zhao adds, “Upgrading the access verification system is crucial for modern companies like Haier in order to increase the security level of its industrial park and office building. We look forward to our future cooperation.” “During the requirement discussion, solution design, and engineering survey, Dahua shows professionalism and excellent communication skills. Haier is satisfied with the first step cooperation and looking forward to the second step of the project,” said Liu Wei, Overseas Regional Project Manager of Haier Group.
The Smart Cities Mission is an innovative initiative by the Government of India to drive economic growth and improve the quality of life of people. It aims to achieve this by enabling local development and harnessing technology as a means to create smart outcomes for citizens. A hundred cities across the country were shortlisted by the government, which were to be promoted as ‘Smart Cities’. Based on an all-India competition, Bhopal was selected in the first round of 20 smart cities, to transform the city into a leading destination for smart, connected and eco-friendly communities focused on education, research, entrepreneurship and tourism. End-to-end video surveillance system Known as the ‘City of Lakes’, Bhopal is a historic city with a population of over 2.5 million. With the expanded planning area of 463 square kilometres, Bhopal is among the 16 largest cities in India. In view of its growing population, the city leaders wanted to upgrade the security of its residents, migrants and visitors, by ensuring diligent monitoring across the city. Also, Bhopal faced chaotic traffic flows and repeated violations, causing traffic jams, accidents and fatalities. Also, Bhopal faced chaotic traffic flows and repeated violations, causing traffic jams, accidents and fatalities This not only made everyday life uncomfortable but also increased transport time with a negative effect on economic activity. The stakeholders wanted to implement an end-to-end video surveillance system to support law enforcement, to build a secure environment for citizens, and to also ensure road safety across the city. Regional vehicle database After rigorous evaluation, a panel of city leaders, stakeholders and industry leaders selected Videonetics for this project. Videonetics designed a solution based on its AI & DL powered Unified Video Computing Platform (UVCP) encompassing Intelligent VMS, Intelligent Video Analytics and Intelligent Traffic Management System. 24x7 city-wide surveillance: Today, over 350 IP cameras are deployed in Bhopal, covering major entry and exit points from the city, places of strategic importance, locations of public gatherings, traffic junctions and business districts etc. Operators are quickly responding to any incident from petty theft to more serious offenses. To monitor urban operations round-the-clock, Intelligent VMS provides continuous viewing and recordings of these cameras, in a user-friendly interface. Specifically, the authorities can also detect overcrowding, unattended baggage, break-in prediction, counting people and traffic violations in a single interface. Round-the-clock traffic monitoring: Today, the city has an Intelligent Traffic Management System (ITMS) suite covering 23 junctions across the city. The suite encompasses Automatic Number Plate Recognition (ANPR), Red Light Violation Detection (RLVD), Over-speeding Detection, No Helmet Detection and Triple Riding detection. In addition to intersections, the ANPR solution has been integrated with IP cameras at entry-exit points in tourist spots and other places, helping law enforcement to identify non-standardized/ duplicate license plates, blacklisted and stolen vehicles, and much more. Automated violation prosecution management: The ITMS solution not only enables monitoring of the traffic situation 24x7, but also records traffic violations in real time. Videonetics Integrated e-Challan Management Software (ICMS) has been integrated with regional vehicle database to generate e-challan along with incident evidence and violator’s address – all in a transparent manner and with the audit trail of all transactions with evidence. With the help of ICMS, traffic personnel can easily maintain record of all payments, both received and pending. Centralized city view: Combining Intelligent VMS and ITMS into the unified interface empowers city management officials and traffic police to view real-time alerts, manage them, and respond to them swiftly, from the Integrated Command & Control Center (ICCC). Consolidated monitoring and reporting The Bhopal Smart City project has proven to be a great success and has become an exemplary model for other cities. Today, operators have become more efficient and make better decisions by having consolidated monitoring and reporting in the single interface. From helping law enforcement authorities in apprehending vandals to addressing instances of theft, physical confrontations and street crimes, now authorities have critical video evidence available to aid in the investigation of crimes and other incidents. Also, with citizens becoming more sensitised to traffic rules and beginning to follow them, violations have come down rapidly. Manage chaotic traffic conditions Thanks to Videonetics team for their constant support and untiring efforts for making this project successful" The traffic data of each junction now provides insights to the administration, which is helping to manage chaotic traffic conditions and create situational awareness at the levels of local and central authorities. “As challans were dispatched to the residence address, people had to pay, and it was quite strict,” says Nitin Dave, Media Manager, Bhopal Smart City. “Now people are more aware about traffic rules, leading to a reduction in the number of e-challans.” “We are proud to be associated with Bhopal Smart City project. Videonetics unified solution is not only monitoring the entire city but also helped in reducing road fatalities. Now law enforcement is further equipped to make decisions faster and respond towards any incidents or threat. Thanks to Videonetics team for their constant support and untiring efforts for making this project successful. The implementation of this solution has made the city smarter as well as safer for the citizens”, expressed Mr. Neeraj Kushwaha, Founder and Director at Technosys. Key results areas Increased security with 24x7 monitoring of city area More alert and ready operators, from traffic control to citizen security Reduction in traffic rule violations by 80% and improved traffic discipline among people Drastic reduction in incidents involving stolen vehicles, duplicate license plates etc. Minimisation of human intervention and elimination of biases in decision making The open and modular architecture of the solution not only allows the city to continue adding more applications to make its traffic management more robust, but also integrate with the city surveillance system in a single unified interface, to address overall security concerns with a holistic approach. Awards and recognitions The Bhopal Smart City has received various awards from the government and industry bodies: Project Awards: The Innovative Idea Award for Integrated Command and Control Center (ICCC) by India Smart Cities Awards The Urban Mobility Award for Security Integration & Intelligent Traffic Management System Best Smart City of the Year by Smart Cities Conclave CSR Smart Cities Leadership Award for Security Integration in Traffic Management (No Helmet Detection) Technology Awards: SECONA Innovation of the Year 2018 for ‘No Helmet Detection System’ Finest India Skills & Talent Award (FIST) Best Innovation in Security 2018 for ‘No Helmet Detection System’ NASSCOM Technology Excellence Award 2019 Rising Star in AI & DL for ‘No Helmet & Triple Riding Detection System’
LILIN announced that Aida traffic management solution will be released and unveiled at ISC West 2020. With the success of LILIN Aida number plate recognition (ANPR), LILIN Aida adds AI traffic management to Aida product line. LILIN Aida can be installed on the edge for traffic analysis where the metadata gets sent to remote Navigator Control Center. LILIN Aida ANPR and traffic management can integrate with LILIN Navigator VMS products including Navigator Control Center, Navigator Corporate, and Navigator Enterprise for event notifications, statistics, and system automation. Both LILIN Aida and LILIN Navigator products utilize Intel Media SDK for Windows and maximize the GPU processing power for video decoding and rendering. LILIN offer Aida ANPR, traffic management, VMS software, and AI recorders (NAV2000AI and NAV3000AI series) which can run on Intel CPU, GPU, VPU, and NVidia Cuda on Windows OS. LILIN Aida traffic management LILIN Aida software is able to run Multiple AI models on distributed AI CPU, GPU, and VPUs of a Server. LILIN Aida ANPR series and Aida traffic management use the latest deep learning technology. LILIN Aida traffic management by deep learning technology requires thousands of pictures for image labeling Aida traffic management can provide accurate AI traffic object recognition for parking spot detection, parking violation, turn left violation and turn right violation, wrong way detection with number plate recognition, truck, motorbike and pedestrian violations, queuing detection, average speed detection, and loitering detection. LILIN Aida traffic management by deep learning technology requires thousands of pictures for image labeling and machine training of object datasets. These processes are time consuming tasks. The datasets are then used for traffic managements. Intelligent video surveillance Image labeling needs more attention for inference accuracy. LILIN deep learning processes consist of image labeling, video recognition, and accuracy validation. LILIN design and developed AI-enhanced software combined with intelligent video surveillance edge devices can optimize traffic system. Mr. Steve Hu, Product Manager of LILIN, said, “We are very pleased to show Aida traffic management solution at ISC West 2020, since our development engineers focused on the AI development for years. Other than AI products, LILIN will demonstrate products for custom install, facial recognition system, QR code for B&B, campus solution, building automation, access control for hotel, and LILINHome app.”
Videalert, one of the UK’s renowned suppliers of intelligent traffic enforcement and management solutions, has supplied Wiltshire Council with a new mobile enforcement vehicle (MEV) which is initially being used to enforce residential permit parking in Salisbury. The vehicle is equipped with a complete suite of Videalert software giving it the ability to be used in future for a wide range of safety-related parking applications including bus stops and the enforcement of keep clears outside schools. The council is also deploying Videalert cameras to enforce two bus gates in Devizes. According to Joanne Pattison, Parking Manager at Wiltshire Council, “Videalert has provided the council with a flexible, hosted solution that will help us to significantly increase the productivity of the whole parking team. It will also enable us to cost effectively extend enforcement to other safety-related applications as required and provide a more efficient service.” Peugeot 108 equipped with ANPR cameras Videalert supplied a Peugeot 108 equipped with two roof-mounted ANPR cameras and two color cameras Videalert supplied a Peugeot 108 equipped with two roof-mounted ANPR cameras and two color cameras to capture contextual video evidence. The ONVIF-compliant cameras accurately capture reflective number plates at distances of up to 40 metres with capture rates of up to 98%. Importantly, this can be achieved with just a single pass at normal road speeds. Used in conjunction with the latest video analytics, the system delivers the highest productivity at the lowest operating cost in any traffic environment. Wiltshire Council is also installing Videalert cameras to enforce bus gates located at two housing developments in Devizes. These locations, situated next to main arterial routes into the market town, have previously been controlled using rising bollards, which have proved to be increasingly unreliable due to water damage. The first cameras have been installed at the Newman Road bus gate and will provide uninterrupted enforcement around the clock while delivering cost savings by eliminating the ongoing maintenance liability of the rising bollards. Hosted digital video platform Images of contraventions are transmitted to Videalert’s hosted digital video platform where evidence packs can be viewed and validated prior to sending to the council’s back office system for the issuance of penalty charge notices (PCN). Videalert’s flexible hosted platform makes it a quick and cost effective process to deploy enforcement as it does not require the installation of any IT at the council’s offices. To reduce the number of appeals, PCN recipients can view still photographs and video footage of the alleged offense over the internet. Tim Daniels, Sales and Marketing Director at Videalert added, “Videalert MEVs have proved to deliver industry-leading capture rates while consistently outperforming vehicles from other suppliers. These multi-purpose MEVs give councils greater flexibility to enforce a wide range of moving traffic and parking contraventions.”
The Smart Cities Mission is an innovative initiative by the Government of India to drive economic growth and improve the quality of life of people. It aims to achieve this by enabling local development and harnessing technology as a means to create smart outcomes for citizens. A hundred cities across the country were shortlisted by the government, which were to be promoted as ‘Smart Cities’. Vadodara was selected among those 100 cities to be developed as a smart city in India, to enhance economic growth, and improve the quality of life of people by enabling local area development, deploying smart solutions and harnessing technology. Optimizing city traffic management Vadodara Smart City Limited wanted to heighten safety for its citizens and visitors, along with optimising traffic management With a population of approximately 2.39 million, Vadodara is the third largest city of Gujarat, and a major industrial, cultural and educational hub of western India. The city is compact and crowded, with a vibrant cultural life that draws a lot of traffic. It is vulnerable to situations of overcrowding, road accidents, criminal activity, and natural disasters. Vadodara Smart City Limited wanted to heighten safety for its citizens and visitors, along with optimizing traffic management, without disrupting daily lives. To this end, they sought a state-of-the-art, open platform that could expand in phases, in sync with the city’s growth. Unified Video Computing Platform As Vadodara’s expansion plans are underway, so too are discussions about growing the city-wide surveillance system. As part of the initial process, a project team comprising Smart City officials, Videonetics, and technology partners did an extensive research to mark out key areas and traffic junctions across the city. Going a step further, Videonetics developed a solution based on its Unified Video Computing Platform (UVCP) for the entire city, so that its people, property, and assets remain secure. State-of-the-art AI & DL powered Intelligent VMS and Video Analytics to provide continuous viewing and recording, enabling security operators and law enforcement to proactively identify, and effectively respond to, events to mitigate their impact. Specifically, now the law enforcement authorities can automatically detect overcrowding, unattended baggage, and perimeter intrusions, even under the cover of darkness. Automatic Number Plate Recognition (ANPR) system across 15 traffic junctions in Vadodara, to identify suspected/ unwanted vehicles and non-standardized number plates, as well as to generate detailed reports on vehicle movements, and much more. Command Control Centre, to provide a bird’s eye view to operators, about what is happening across the city. From traffic control to citizen security, operators remain alert and ready. With greater situational awareness, municipality officials are proactively responding to incidents such as garbage overfill, incidents of water-logging, traffic congestions, hazardous debris on roadways, illegal parking, and more. Video surveillance systems Videonetics’s solution manages over 550 IP cameras throughout the city of Vadodara Under the project, video surveillance was deployed along public ways, in urban passenger transport stations, municipal buildings, traffic junctions, entry and exit connecting roads to city, and more. To date, Videonetics’s solution not only manages over 550 IP cameras throughout the city of Vadodara, but also proactively identifies and effectively responds to events, to mitigate their impact. Furthermore, the video surveillance system helps in the maintenance of peace in the city, in upholding law and order, and providing better policing services. The key results are: 1. Increased safety and security with 24x7 monitoring of city area, 2. Faster crime investigations, 3. Traffic police having in-depth knowledge on vehicle count and movement, and 4. Swift action by on-site traffic police, as they get alerts on traffic congestion, unwanted/ hot-listed vehicles, and so on. City surveillance Moreover, Videonetics’s solution has also been able to help the police in monitoring celebration of festivals and VIP movement in the city, and building a security net for its citizens. Overall, it has been successful in ensuring the safety and security in the city of Vadodara, and has played an important role in becoming a smart and connected city.
Round table discussion
Public spaces provide soft targets and are often the sites of terrorist or active shooter attacks. Public spaces, by definition, require easy accessibility and unrestricted movement. Given that openness, what security technologies can provide real results? We asked this week’s Expert Panel Roundtable: How is technology innovation impacting the security of public spaces?
The new school year is a good time to reflect on the role of security in protecting our schools. From video to access control to some newer technologies, our Expert Panel Roundtable found plenty to talk about when we asked this week’s question: How does security technology make our schools safer?
Artificial intelligence is on the verge of changing the face of multiple industries – from healthcare to entertainment to finance, from data security to manufacturing to the cars we drive (or that will drive themselves!) In the physical security market, AI has garnered a lot of attention as a buzzword and as a harbinger of things to come. We asked this week's Expert Panel Roundtable: What security markets are most likely to embrace artificial intelligence (AI)?