License plate recognition

Dahua Technology, a world renowned video-centric smart IoT solution and service provider, unveils its 2020 core product launch in Intersec Dubai, enabling and accelerating the AIoT transformation. The launch includes the main over-coax technology advancement HDCVI 6.0, AI (WizSense/WizMind) as well as Full-color technology which enables outstanding performance under extreme low light conditions. Advanced AI capabilities A longtime pioneer in the realm of HDCVI that seeks to offer great convenience, best quality and least cost, Dahua Technology launches HDCVI 6.0, boasting industry's first 4K real-time and advanced AI capabilities. 4K Real-time While traditional 4K HD over-coax products only allow 15fps, Dahua Technology’s 4K real-time doubles it, making 30fps a reality in live view. 4K real-time provides a superior visual experience in which tiny details are captured in better clarity within a large monitoring coverage. Moreover, with the help of AI Coding, users won’t have to worry about the storage cost incurred from the clarity enhancement. AI Coding Dahua AI Coding takes video compression to a new level of content-awareness. It puts emphasis on human and vehicle while encoding, significantly improving the streaming quality compared with H.265. At the same time, AI Coding also reduces the bit rate when there is no real target in sight, allowing efficient handling of videos to save HDD storage cost. Two-way Talk In addition, HDCVI 6.0 supports Two-way Talk, which allows real-time communication between camera and recorder with a broadcast-quality audio. A breakthrough innovation in Audio-Over-Coax technology, the Two-way Talk feature does not just satisfy users' demand for auxiliary audio information, it also enables bi-directional audio intercom that can be used to warn off intruders and to verify the actual situation when an incident occurs. Enhanced AI Endowed with Enhanced AI (see section 3 below for more information), HDCVI 6.0 is bringing fresh ideas and new possibilities to the industry and will always provide more economical and convenient solutions to customers. Advanced low light functionality Dahua Technology provides two series of full-color cameras – LED series and Non IR series The demand for cameras to perform in low light environment is on the rise. According to the 2019 IHS video surveillance report regarding global low illumination trend, cameras with advanced low light functionality grows at 20.6% CAGR 2018-2023. In response to this increasing demand, Dahua Technology developed its Full-color Camera, which captures vivid colorful information even in low-light conditions. In places with high crime rate like a park at night or a dark alley, it effectively extracts the color features of the scenes, such as human, vehicle or other objects, providing great help to police officers during the evidence obtaining procedure. Dahua Technology provides two series of full-color cameras – LED series and Non IR series – both adopt large aperture lens that collect higher amount of absorbed light and present a more vivid and colorful image under dark environment. Low light conditions These cameras are capable of 24/7 colorful monitoring that can accurately identify people and objects in low light conditions. Cameras of LED series are equipped with LED that serves as a supplementary light in dark environment. The LED also serves another purpose – to deter intruders – that can significantly reduce crimes. Cameras of Non IR series have no complementary light device, which will not emit light like infrared camera at night. This means that this type of camera does not interfere with ongoing activities and does not contribute to light pollution in the environment. Also, it prevents reflections in rainy days and attraction of small insects, making it an ideal silent security guard in dim places like stores, parking lots and casinos. In addition, the full-color camera can work with AI functions to further enhance the probability and accuracy of target recognition and feature extraction. AI (WizSense/WizMind) WizSense, being easy to use and not pricy to own, is competent enough to meet the needs of most ordinary users To accelerate the AI adoption, Dahua Technology is proud to release WizSense, a series of AI products and complete end-to-end solutions based on deep learning that focus on human and vehicle, providing intelligence, simplicity and inclusivity to users. WizSense, being easy to use and not pricy to own, is competent enough to meet the needs of most ordinary users. Its benefits include: accurate prediction before an event; instant deterrence during an event; quick target search after an event; storage saving while ensuring target details, and privacy protection and defense against attacks. Accurate prediction can be realized through SMD Plus, which analyzes human and vehicle shapes based on motion detection that adopts deep-learning algorithm. It effectively filters out false alarms triggered by raindrops, leaves, pets, insects and light, allowing users to focus on real threats. Face Detection and Face Recognition WizSense also supports Perimeter Protection, which functions in a similar way as SMD Plus in terms of its accurate prediction capability. It allows users to set more flexible rules for different scenarios. While SMD Plus applies to the whole scene by default, Perimeter Protection could be applied to a specific area, especially where the direction of the movement needs to be detected. Aside from recognizing whether the target is a person or a vehicle, WizSense is also equipped with Face Detection and Face Recognition features to aid further identification of targets. By comparing face images with those recorded in the customized database, more business values can be generated through VIP recognition, Black List alarm, etc. Intelligent video analysis Real-time push notifications with trigger type of human or vehicle will be sent to users Moreover, based on intelligent video analysis, WizSense also provides instant deterrence functions. When intrusion has been detected, these features will enable the camera to flash and make alarm sound to warn off intruders and avoid possible crime. At the same time, real-time push notifications with trigger type of human or vehicle will be sent to users, alerting them to verify the situation using video. After an event, WizSense makes it easy for users to do quick and reliable search based on SMD Plus and Perimeter Protection. Features like face image search and face attribute search can effectively improve the efficiency of target searching. It is worth noting that the data storage is ensured with AI Coding as well, which intelligently saves data space while maintaining the image quality of key targets. System integrators and installers While offering abundant functionalities, WizSense also ensures high-level of cybersecurity using encryption algorithms that are certified by TÜV Rheinland, UL (Underwriters Laboratories), etc. Users can rest assured that their privacy will be properly protected using WizSense series products. Furthermore, WizMind is a high-end AI series to be released in Q1 of 2020. While supporting all functions of WizSense, WizMind is also capable of other intelligent functions such as people counting, video structure, ANPR, human face/body privacy protection, large scene monitoring, etc. Designed to create more commercial values for system integrators and installers, WizMind series offers users with end-to-end solutions that can be tailored case by case to satisfy demands of clients. The aforementioned three key technologies work in trinity, resulting in surveillance solutions that can be applied to many situations. Dahua smart solutions You can use this guard to verify a visitor’s identity and warn off intrudersFor example, these products are suitable in dark places where theft and other sorts of crimes are likely to occur, such as a dark street corner or a dimly lit bar. They are also useful in places where it is impossible for security guards to accurately remember various features of people and vehicle, such as crossroads, schools, or entrances of residential areas where people and vehicles frequently come and go. They are also applicable to any place where you want to set specific rules, such as vaults of banks or casinos, entrance of a luxury store, or fence of a zoo. In these situations, Dahua smart solutions serve not only as a sharp eye that diligently monitors 24/7 and clearly records every little colorful details regardless of light condition, but also as a smart guard that can recognize features of each and every people or vehicle in sight. Verify visitor’s identity You can create your own black/white list and your guard will treat the visitor accordingly, triggering the alarm, for example, in a spontaneous manner. You can use this guard to verify a visitor’s identity and warn off intruders. If you are looking for a particular person or plate number when collecting evidence, this guard will take care of it. Overall, Dahua Smart Solutions offers users comprehensive protection as well as personal options to satisfy more diversified needs. For 2020, Dahua Technology is fully loaded with cutting edge technologies and products to provide upgraded services to more users across the globe. With its mission of “Enabling a safer society and smarter living”, Dahua Technology will continue to focus on “Innovation, Quality and Service” to serve its partners and customers around the world.

Hikvision, the world’s supplier of innovative security products and solutions, will be exhibiting its innovations at Intersec 2020, a security exhibition in the Middle East, January 19-21 in Dubai, UAE. Emerging technologies and applications opened up new possibilities for the security industry. This year, visitors can experience Hikvision’s products and solutions for users across various industries. Multi-dimensional perception Hikvision’s multi-dimensional perception was created for a variety of security needs, reshaping security systems and providing customers with more comprehensive protection. At the show booth, visitors can see cameras with in-depth combinations of radar and video technology, showing the ability to perceive beyond the visual range in areas like traffic management. Multi-intelligence technology supports multiple algorithms running simultaneously on one camera “We will integrate the Hikvision video surveillance technologies with multiple senses, like radar and related products, which cater to different client requirements and provide protection for users across multiple technologies.” Binson Xu, Hikvision Middle East’s Regional President said. Multi-intelligence cameras Multi-intelligence technology supports multiple algorithms running simultaneously on one camera. Hikvision’s latest multi-intelligence cameras can run several deep-learning algorithms in parallel for a host of complex scenarios. And at same time, these cameras visualize and analyze structured data of various targets such as faces, bodies and vehicles simultaneously. They were designed to boost situational awareness in scenarios such as urban roads, to identify violations and detect vehicle types and license plate numbers. Furthermore, customers can also enjoy customized services provided by Hikvision such as applying various algorithms into security cameras according to the specific application scenarios proposed by customers, allowing customers to independently choose functions and create a bespoke solution for their needs. With breakthroughs in imaging, algorithms and intelligent applications, Hikvision will showcase a cost-effective thermal camera, which is designed for perimeter protection and fire prevention. This thermal camera is specifically designed for short-range monitoring, up to 70 meters, and best suited for perimeter protection in residential areas, office buildings and factories, to name a few examples. Intelligent vertical solutions Visitors will also be able to see how Hikvision's Intelligent Traffic System (ITS) recognizes vehicle license plates Hikvision will demonstrate Artificial Intelligence industry solutions for vertical markets and applications. For example, Hikvision’s smart retail solution enables retailers to get a clear understanding of their business’s statistics by using intelligent cameras, NVRs and a video management system (VMS). Visitors will also be able to see how Hikvision's Intelligent Traffic System (ITS) recognizes vehicle license plates to manage roadway traffic and parking areas using the video sand box for demonstration. Binson explained, “We can now help banks protect employees, customers, branch offices, and ATM areas, as well as assist retailers to understand footfall in their stores and optimize their merchandising strategies, all the while helping city authorities reduce congestion and pollution with smart traffic management solutions.” At Intersec, Hikvision will also showcase intelligent products, including cameras with AcuSense technologies, which can provide customer accurate intrusion prevention alerts; cameras with ColorVu technologies, to bring customers high-quality night-vision color imaging. In addition, visitors will also be able to see a wide range of new products and innovations, such as alarm products, face recognition terminals, automotive electronics, LED products, Hik-Central, and more. Visit Hikvision at Booth SA-C12 to explore additional information and opportunities.

Global security company Hanwha Techwin recently took part in Intersec 2020, the security exhibition in the Middle East. Held in Dubai (UAE), the trade show provided the perfect opportunity for Hanwha Techwin to showcase its products, including Middle East-optimized devices and cutting-edge AI solutions, on a truly global stage. Intersec is an annual trade fair for the security and safety sectors, where all the latest trends and technologies can be found under one roof. At this year’s event, over 1,100 global security companies from 50 countries gathered to share their cutting-edge security solutions with the world. Hanwha Techwin to highlighted its “Expansion of Secure Life” theme by showcasing some significant technological breakthroughs, including the latest Wisenet AI lineup and up-to-date security solutions tailored to local demands of a diverse range of market sectors. At the company’s booth, attendees were given the opportunity to gain first-hand experience with Hanwha Techwin’s products, solutions and technologies that span across multiple sectors. Wisenet AI NVR Wisenet’s AI cameras are designed to accurately capture the unique attributes of objects With “AI technology” establishing an indispensable role in the video surveillance industry, Hanwha Techwin demonstrated its latest state-of-the-art AI solutions. Equipped with a powerful artificial intelligence (AI) engine that detects and classifies people and vehicles in real time, Wisenet’s AI cameras are designed to accurately capture the unique attributes of objects such as faces and license plates, while reducing false alarms caused by waving trees, video noise, and even shadows. The Wisenet AI NVR lineup is the first Wisenet NVR to feature AI. This provides real-time monitoring and video backup up to 8K resolution and further enhances user convenience through the new intuitive GUI. Hanwha Techwin also touched on its optimized solutions across numerous different vertical sectors including retail, transportation, plant and banking. The company’s retail and transportation smart security offerings, in particular, grabbed the keen attention of attendees thanks to its experiential booths. Wisenet P series AI cameras Wisenet Retail Insight v2.0 was one of them, providing business intelligence with age and gender-based people counting, heatmap and queue management features which are supported by Wisenet P series AI cameras. Meanwhile, the innovative Wisenet Transportation appliance (TAW-4000H16) is equipped with TMS (Transportation monitoring system) for the efficient operation and management of larger sites. It is crucial that video surveillance systems used in such facilities pose zero risk of exploding In addition, the company introduced a broad range of Middle East-specialized solutions, one being the 16CH NVR(XRN-1610G), which boasts a built-in modem that permits seamless video and status transfer to a control center using 3G or 4G, allowing operators to remotely monitor multiple devices across long distances in real time. Moreover, since heavy industrial facilities such as gas pipelines, petrochemical plants, and oil refineries are potentially explosive, it is crucial that video surveillance systems used in such facilities pose zero risk of exploding, while capturing high-quality footage at the same time. Wisenet explosion-proof cameras more than meet these requirements, via powerful networks and a protective stainless-steel housing enclosure. Pentabrid DVR It was the perfect setting for Hanwha Techwin to present its new multi-directional camera (PNM-9085RQZ), hybrid recording solution (Pentabrid DVR), and 8K resolution camera (TNB-9000) which are ideal for monitoring large spaces such as stadiums or airports, while the company also emphasized the significance of building trust through cybersecurity policies. The company’s global network was also highlighted, reiterating the importance of its R&D center and production based at the company’s South Korean headquarters as it expands its worldwide network to over 16,000 partners across 100 countries. “This year’s Intersec marked the beginning of not only a new year, but a new decade, too. We’re very proud to begin this new era by presenting to the world Hanwha Techwin’s state-of-the-art technologies that have been carefully developed to match the constantly evolving security and surveillance landscapes,” said a Hanwha Techwin representative. “Based on our firm belief that trust remains an essential aspect of the industry, we will continue to improve our world-renowned core technologies while simultaneously introducing new revolutionary AI solutions and reinforcing our cybersecurity.”

“Normally when we talk about trends and the future, we are actually thinking more about the present. The reason we are keen on understanding trends is because we want to know how they will affect our current business and how we should act now to avoid being outdated.” Significant changes have shaped the security industry during the last decade, and more exciting innovations should be expected in the 2020s. Emerging technologies and applications, such as multi-dimensional perception, UHD, low light imaging, artificial intelligence, and cloud technology, open new possibilities for the security industry. At the same time, millions of cameras and other security devices are being connected into networks, making the security industry a very important part of the future IoT world. Hikvision shares their thoughts on a few key trends that will affect the security industry in 2020, and probably even longer into the future. Multi-dimensional perception Video cameras integrated with centimetre and millimetre wave radars are becoming popular in object detection For security cameras, image capturing simulates the sense of sight, extending the power of people’s “eyes.” But what if security cameras could use other kinds of “senses,” like “hearing,” “smelling,” or even detections that are beyond visual range, to identify and respond to incidents? For example, video cameras integrated with centimeter and millimeter wave radars are becoming popular in object detection. With deep integration of radar and video, a multi-dimensional camera extends perception beyond visual range to improve the detection of objects and movement tracking, up to a distance of 100 meters and in any weather. Another approach is the integrated automobile horn-detection camera. Equipped with sonar arrays, this camera can precisely detect and locate the source of a vehicle’s horn, while identifying the vehicle and generating photos and videos of the event as evidence. This ability can help reduce noise pollution on roadways and in communities with rules against the unnecessary use of horns. More “senses,” like smoke detection, heat detection, or even pressure detection, can be embedded in cameras to precisely monitor and report events or incidents. The multi-dimensional perception trend will powerfully shape security systems and endow them with more capabilities to create safety in the near future. Multi-intelligence cameras The computing power of security cameras has been enhanced greatly with the increased performance of AI chips Artificial intelligence applications have been slowly emerging in the security industry for many years already, but most AI-powered security cameras can only run a single algorithm because of the limitation of computing power, which means they can incorporate only one intelligent function at a time, counting people or counting cars, for example. Now, the computing power of security cameras has been enhanced greatly with the increased performance of AI chips. Multi-intelligence technology will be the trend for the next generation of AI-empowered cameras as several intelligent tasks will be accomplished by one camera. Vehicle intersections can be used as an example. In many cities one can see ten or more cameras installed at intersections to detect traffic flow, to identify violations, to detect vehicle types and license plate numbers, protect sidewalks, and so on. But now, with multi-intelligence cameras, two or three cameras will be enough for an intersection. Since fewer cameras will be equipped for one application scenario, the cost of equipment, installation and maintenance and management will all be reduced. Moreover, scenario-defined cameras will become common as manufacturers can insert different algorithms into security cameras according to specific application scenarios, allowing customers to choose customized functions for their needs. Proactive and comprehensive security systems Proactive video analysis enables deployment of valuable comprehensive security systems Merely reactive CCTV systems will no longer meet the demands of security operations teams as they are often looking for new opportunities to enhance their operational efficiency. Many customers are now asking for proactive and comprehensive security systems that combine CCTV monitoring, alarm systems, access control, and even fire protection. With the development of AI technology, monitoring processes of CCTV systems are becoming more automated by analyzing live and recorded video to detect, classify and track predefined objects. These processes can be especially effective in proactively identifying events as they happen and extracting information instantly from recorded video. Meanwhile, proactive and intelligent video analysis enables deployment of valuable comprehensive security systems and improves the return on investment for integration of CCTV and non-CCTV systems. For example, now, when a camera detects an incident, a linkage will trigger the alarm system automatically, telling security personnel to check the surveillance camera live feed. Conversely, when alarm, access control or fire protection systems report an incident, the CCTV system will be activated to verify what actually happened. Digital transformation to increase productivity is a business imperative for most organizations nowadays, and proactive and comprehensive security systems will be the direction for security operations to increase their efficiency and value. Ultra-high definition UHD is benefiting from improvements in transmission and encoding technologiesPeople want to see more and see with more clarity; thus pursuing ever higher image resolution has been a key driving force in the development of security industry technology. After the HD era, the Ultra High Definition (UHD) era will be the natural next step. UHD used to mean “expensive cost”, but now UHD is benefiting from improvements in transmission and encoding technologies. It is becoming more and more cost-effective for large-scale use in the security industry, from entry levels to the top. With greater bandwidth and lower latency transmission technology, the smooth transmission of UHD images is becoming possible, and widespread adoption of 4K and 8K resolution cameras will meet real opportunities. Furthermore, continuously optimized encoding technology, which is vastly decreasing the bitrate of video, is another stimulus for UHD applications in the security industry. As the bitrate of recorded footage is greatly reduced, bandwidth and storage costs are reduced as well. Visibility, any time and any condition Low light imaging technologies have become more and more popular in the security industry Most security incidents happen at night, but images and footage from conventional security cameras may easily lose colors and critical details in ultra-low light environments. Low light imaging technologies have become more and more popular in the security industry, enhancing the visibility of objects for identifying details at any time and in any condition. Another important innovation is thermal imaging, which can detect the heat information of any object with a temperature above absolute zero. Taking advantage of heat zone imaging, thermal imaging technology allows cameras to “see” in low-visibility conditions, such as fog, smog, rain, and snow, even at night. And thermal cameras have huge potentials in various applications, like perimeter defense, fire detection and temperature measurement. Moving to the cloud As mentioned at the beginning, more security devices, including cameras, are being connected over the Internet, making them parts of the IoT world. Thus, “moving to the cloud” has been a focus for the security industry, especially for video surveillance operations. Why are people enthusiastic about the cloud? It’s because cloud services can bring vast benefits in efficiency, flexibility, cost-effectiveness, and security. Among security operations, video surveillance as a Service (VSaaS) has been a major trend in the security industry as it is an ideal choice for small and medium-sized businesses to move their video-based security systems to the cloud. It is a technology to host the hardware and software of security operations in the cloud, so that users can access their IP cameras and IoT devices and check video footage or alarm linkage from anywhere. Since no on-site server installation and system configuration is needed, it is often more convenient than traditional video surveillance solutions. On the cloud, users can distribute costs over a contract term and pay for exactly and only the services that are used. With VSaaS, system integrators are able to provide services for their clients using the cloud For enterprises running chain stores, demands on VSaaS are increasing greatly. Moving video surveillance services to the cloud, these businesses can quickly and economically centralize their security operations and remotely check the status of their stores. To greet the “moving to the cloud” trend, security system integrators are also taking hold of VSaaS as it is a good chance to strengthen their business models. With VSaaS, system integrators are able to provide services for their clients using the cloud, such as system checks and remote maintenance, and consistently scale their business with efficiency. Higher demands on cybersecurity With millions of security devices being connected in IoT, security systems are evolving from single and isolated to open and connected. People are getting more and more concerned about the security of their data and privacy, and accordingly have set higher demands for the security industry on cybersecurity. To help minimize the risk of security breaches, a multi-layered approach, including network, application, and device layering, that addresses a full range of cybersecurity threats concurrently will be demanded and expected by security organizations and IT departments. Security manufacturers, will also have to cover the security of their products throughout the whole lifecycle. 5G, big data affect the industry Just as 2020 is the beginning of a new decade, we expect to see a new decade of innovation in technologies and applications. Along with the prominent security industry trends mentioned above, other trends such as 5G, big data, smart enterprise operations, and stricter data protection regulations like EU’s GDPR, might also greatly affect the industry in the 2020s.

Rekor Systems, Inc., a NASDAQ company focused on bringing smarter, faster, cost-competitive solutions to the worlds of public safety and customer experience, announced the launch of its vehicle recognition software donation program to provide eligible municipalities, law enforcement agencies, and educational facilities with free access to its Watchman vehicle recognition software. Rekor has already received applications from organizations across 31 states to provide vehicle recognition solutions. Security IP cameras Eligible organizations can apply to receive two software licenses for Rekor's Watchman software, which can be integrated into either new or existing traffic or security IP cameras for real-time alerting of known license plates. Watchman will enable the uploading of AMBER Alerts, hotlists, manual entry, and forensic searching for up to 30 days. The initiative was designed to provide organizations with valuable data to reduce crime and increase public safety. Crucial programs are cast aside because of large, upfront capital costs that can't be met with current resources" "One of the biggest barriers to implementing new technologies at the municipal, law enforcement and school district level is budget. Oftentimes crucial programs are cast aside because of large, upfront capital costs that can't be met with current resources - something we're learning quickly by the early enthusiasm from applying organizations across the country," said Robert A. Berman, CEO, Rekor. license plate reading cameras "Our new vehicle recognition software donation program is already a success as law enforcement agencies that have signed up are placing orders to purchase additional licenses. This program is demonstrating that public safety officials can have affordable access to this powerful crime-stopping technology." By participating in the donation program, organizations will contribute their data to the Rekor Public Safety Network (RPSN), as well as gain access to the nationwide, comprehensive law enforcement partnership. Available to any customer that opts-in, the RPSN aggregates vehicle data from customers in more than 30 states. With thousands of automatic license plate reading cameras currently in service that capture approximately 150 million plate-reads per month, the network is expected to be live by the first quarter of 2020.

AAEON Atlas helps increase safety, energy efficiency, and cut costs for Smart Cities thanks to the power of Intel Movidius Myriad X. AAEON, globally renowned provider of Smart City solutions, announces AAEON Atlas, a rugged outdoor edge node built to provide cities with flexible solutions for AI and edge computing. Featuring the Intel Movidius Myriad X, AAEON Atlas offers real-time processing for a range of Smart City applications. AAEON NanoCOM-APL board AAEON Atlas is based on the compact AAEON NanoCOM-APL board, featuring the Intel Atom x7 AAEON Atlas is based on the compact AAEON NanoCOM-APL board, featuring the Intel Atom x7, providing efficient computing with low power consumption. Designed with an IP66 rated fanless chassis, it can be installed onto any streetlamp, making it easy to quickly setup and deploy. It also features connectivity with WIFI, Gigabit Ethernet, or even 4G/LTE for flexible communication within an edge network or with a central cloud server. The AAEON Atlas also features built-in cameras and sensors for data collection and analysis. The key feature of AAEON Atlas is the embedded Intel Movidius Myriad X vision processing unit (VPU). The Intel Movidius Myriad X provides a low-power, high-performance solution for on-device AI inference. AAEON Atlas is compatible with the Intel Distribution of OpenVINO toolkit, which includes built-in features such as model optimization, hardware acceleration and more designed to maximize the capabilities of the Intel Movidius Myriad X VPU. License plate recognition AI inference AAEON Atlas can be deployed in a wide range of edge computing applications. As an edge gateway, AAEON Atlas can connect with up to 200 smart street lights, providing intelligent control. With license plate recognition AI inference, AAEON Atlas can power applications such as Smart Street Parking or detecting traffic violations or accidents. With traffic and congestion monitoring, AAEON Atlas can optimize traffic signals in real time to help improve traffic flow. AAEON Atlas can also anonymously detect pedestrians in crowd control and flow monitoring applications. AAEON Atlas also comes with the full end-to-end support offered by AAEON. From concept to customization to setup and deployment, AAEON provides customers with full support to ensure their Smart City solution is ready to go from day one. AI analytics “With AAEON quality and expertise, AAEON Atlas is the solution built to carry the weight of Smart City applications,” said Kevin Ting, Senior Product Manager with AAEON’s New Business Development division. “Whether as an IoT/AIoT gateway or providing real time AI analytics, AAEON Atlas uses the latest in Intel Vision Products to provide invaluable edge computing processing for Smart Cities.”

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 systems 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 sensational promises around it were pure marketing hype (and rather unscrupulously so). However, there are a lot of 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.

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.

BI-City Tokyo is located in Nur-Sultan (Astana), the capital city of Kazakhstan. It is a high-end residential complex of BI Group – a renowned construction holding company in the Kazakhstan real estate market. At present, three apartment buildings with public areas and more than 400 apartment units have been completed. Aiming to create modern high-end intelligent buildings and residential areas, the BI Group wanted to upgrade the existing analog video intercom system of BI-City Tokyo. Replacing analog intercom system The original analog intercom system in this community is outdated and cannot meet the diverse security requirements of high-end residential areas. First, the original analog intercom does not support retaining images and leaving messages. Second, this system only supports access cards to open doors, which is inconvenient for residents in case they forgot their card. Third, the original system cannot add IP cameras to monitor public areas such as children's playground, fitness areas, etc. Fourth, the cold winter temperature in Nur-Sultan requires high-performance equipment capable of operating in extreme environments. Faced with the abovementioned challenges, BI Group was also looking for a trustworthy brand that can provide not only modern smart system but also technical support and reliable after-sales service. Meeting all the above requirements, Dahua smart residential solution was chosen to be the security solution provider of BI-City Tokyo. Dahua Smart Residential Security Solution The complete solution deployed more than 300 pieces of Dahua equipment, including IP cameras The complete solution deployed more than 300 pieces of Dahua equipment, including Indoor Monitor, Apartment Outdoor Station, IP Camera, Access ANPR Camera, Video Recorder, etc. The solution supports two-way audio intercom, real-time video and messaging feature. In addition, a variety of door opening methods were also implemented: door opening via remote calling, door opening using access card, and remote door opening via APP. Additionally, all the equipment can be visualized and integrated in the Dahua DSS platform for centralized management, operation and maintenance. Moreover, the temperature in Nur-Sultan can reach up to negative 40 degrees in winter season. This requires high-performance outdoor devices featuring dust and water resistance, and explosion-roof capability. In response to this pressing challenge, Dahua apartment outdoor station VTO1210C-X-S1 and access ANPR camera ITC237-PW1B-IRZ that support wide working temperature were installed at the entrance of the apartment building for a more effective visitor and vehicle management. ANPR and IP cameras installed When a visitor arrives at the entrance of the apartment building and dials a resident’s room number through the Dahua apartment outdoor station, the camera installed at the entrance will synchronize the video with the visitor’s image captured in the resident’s indoor monitor. Once the visitor’s identity is confirmed, the resident just needs to press the button on the indoor monitor to open the door remotely. With Dahua app, users can even answer calls and open doors remotely when they are out for work or traveling. As for vehicles, Dahua access ANPR camera ITC237-PW1B-IRZ is designed for extreme temperature environments (temperature range of -40°C to +60°C). With built-in intelligent video analytics, the camera has the ability to detect and recognize moving vehicle's plate number within low speed. Vehicle tracking and identification For both approaching and departing vehicles, the access ANPR camera takes a snapshot of the number plate and vehicle overview picture, as well as records corresponding surveillance videos. By setting a whitelist, the camera can automatically control the barrier or gate to open if a plate number recorded in the whitelist has been recognized. The public areas including children's playground, fitness areas, as well as the lobby are covered by 2MP IR Mini Dome Network Camera IPC-HDBW4231E-ASE, 2MP and 3MP IR Mini-Bullet Network Camera. The Starlight Ultra-low Light Technology of IPC-HDBW4231E-ASE offers industry-leading light sensitivity, capturing color details under low light condition up to 0.002lux. The camera uses a set of optical features to balance light throughout the scene, resulting in clear images in dark environments. Integrated management platform Dahua smart residential solution provides an integrated management platform for the personnel of BI-City Tokyo Dahua smart residential solution provides an integrated management platform for the management personnel of BI-City Tokyo. It assists in the remote and visual management of the property and improves the services and facilities they offer. Security guard at the entrance is not needed anymore to manage entering and exiting vehicles, which saves labor costs, reduces the waiting time of vehicles and improves traffic efficiency. In addition, the all-round monitoring of the public areas within BI-City Tokyo greatly improves the safety level of the entire community. The video intercom system of the building provides a variety of convenient door opening methods, enhancing the resident’s living experience. IP video intercom solution “We adopted analog solution in the first phase. From the second phase, we replaced all of analog system with Dahua’s IP video intercom solution. We hope that Dahua will help us complete the solution planning of the three, four, five, and six phases,” said Arman Lesbekov, General Manager of BI Group. Dahua Technology is an internationally renowned video surveillance and security solutions provider with more than 6000 professionals in their R&D team, dedicated to providing cutting-edge products in technologies like AI, IoT, Cloud services, video, cyber security, and software reliability with high quality and performance. Video surveillance systems expert Since 2014, Dahua has ranked second in the global video surveillance equipment market according to an IHS report, and in 2017 Dahua ranked third in the A&S International "Security 50". The company believes in investing and building strong R&D capabilities for new technology and innovation.

Videonetics has supported Nagpur in achieving the Smart City status, under the Smart City Mission of Government of India, by securing its roads with an AI & DL powered Intelligent Traffic Management Solution. The solution has helped the city to solve its traffic enforcement problems such as red light jumping, crosswalk/ stop line violations, over speeding violations, tracking of suspect/ stolen vehicle, and generating e- challan/ e ticket for violators as per the Motor Vehicles Act. It includes applications like Automatic Number Plate Recognition (ANPR), Red Light Violation Detection (RLVD), Integrated eChallan Management Software. With the successful implementation of the solution, Nagpur has witnessed greater traffic discipline and substantial decrease in traffic violations. More efficient traffic management has helped the city achieve its Smart City objectives. Intelligent Traffic Management System Nagpur has witnessed a rapid rise in the number of vehicles, and also in traffic violations and road accidents Over the last few years, Nagpur has witnessed a rapid rise in the number of vehicles, and also in traffic violations and road accidents. The city administration recognized the need to enhance road safety, and the traffic police department sought a solution that would act as a true decision support system to regulate and analyze vehicle movement on roads. In addition, the police expected the solution to assist them in maintaining law and order, to identify frequent offenders as well as stolen/ suspect vehicles, as and when they enter the city. With the city needing to enhance its road safety even as it was expanding, Videonetics designed a solution based on its Intelligent Traffic Management System that provides continuous monitoring of the traffic situation, records traffic violations at intersections, and triggers necessary penal action against violators. Manage real-time alerts 24x7 real-time monitoring: Today, the city has ANPR and RLVD systems spread across 120 traffic junctions, to track and record license plate of any type of vehicle, as well as detect red light or stop line violation at intersections. Nearly 1,300 IP cameras have been deployed, to monitor vehicle movement and detect suspect vehicles simultaneously. Violation prosecution: Videonetics’s Integrated e-Challan/e-Ticket Management Software has been assimilated with Regional Transport Office database, to fetch the details of a vehicle and its owner. Once a violation is detected, an e-challan is issued to the offender. The e-challan also maintains a record of all payments, both received and pending. A centralized security view: The solution provides the police a bird’s eye view of the traffic junctions and city’s roads, from the Command & Contro Center. From the unified interface, security operators can view, manage real-time alerts and respond them swiftly. City surveillance system Prior to the installation of Videonetics’s Smart City solution, Nagpur city relied on on-site traffic monitors/ police to catch offending vehicles. However, the recent implementation of the solution has eliminated the need for physical deployment of traffic police at each junction. Videonetics’s solution helps maintain the security on city’s roads by detecting and recording traffic violations with accuracy, resulting in irrefutable evidence for local authorities. In addition, citizens have started obeying traffic rules, resulting in an over 50% reduction in traffic violations. The open 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 security concerns with a holistic approach.

Haier Group, China’s 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. 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. First, to prevent theft and timely detect people climbing over the perimeter fence. Second, to provide comprehensive monitoring in the whole industrial park and inside the factory which includes: monitoring of production line and employees’ smoking behavior during working hours at office areas; efficient employee attendance; vehicle identification at the entrance and exit areas of the industrial park; and the overall management of all devices, data report output, etc. Intrusion detection 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 system also supports further device upgrade based on customer’s future plan for the next several years. AI-powered perimeter protection function can greatly reduce false alarms caused by irrelevant objects 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. The combination of advanced AI analytics and real-time alerts to a desktop or mobile clients reduces system requirements and resources, thereby improving the efficiency of the surveillance system. Smart IR technology 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. 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. These cameras are equipped with smooth control, high quality image and good protection 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. Face recognition 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. 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. The Dahua DSS PRO management platform integrates all cameras and the aforementioned 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. Up-to-date Dahua AI equipment 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. 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,” said Zhao Shengbo, Regional Director of Dahua CIS. “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.  

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