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Lessons Learned With AxxonSoft: How Have You Adapted To The COVID-19 Pandemic?
Lessons Learned With AxxonSoft: How Have You Adapted To The COVID-19 Pandemic?

The coronavirus pandemic has brought about an unprecedented crisis for businesses and individuals. It has also created a new normal, notwithstanding the disruption to our lives, ultimately changing life as we knew it. However, our resilience as humans will ensure that we survive and become better, stronger, and more determined than ever before. As I mentioned, both businesses and individuals have struggled significantly to balance the need for safety versus survival. But at AxxonSoft, we remain committed to keeping our people safe, while ensuring that our support and commitment to our clients are not compromised. Ensuring business continuity At AxxonSoft, our vision has always been to ensure business continuity through enhanced safety and video surveillance offerings. Adhering to the COVID-19 regulations, we are prescribing to social distancing to slow the spread of the virus. As such, we are utilising this time to ensure that our service offering is optimized to afford our clients the ability to repurpose and extend their remote working viabilities. As an essential service provider, we have ensured that we are providing the right tools to our clients to comply with regulations. Our video analytics and face recognition services have no reliance on on-site control rooms and, therefore, clients’ security solutions and personal safety are not compromised. Innovation reimagined During these precarious times, our focus remains on support and service. Our development team continues to work tirelessly to ensure that you can use our software during the lockdown and have accelerated innovation to this end. While we must maintain social distancing, we can and will still be of service to our community Therefore, we are proud to present version 4.11 of the Intellect PSIM, which offers our clients a neural network-based analytical tracker which recognises specific types of objects, such as humans and vehicles. We have also equipped this version with video wall management interface, automatic object tracking and a web reporting subsystem. Behavioral analytics generates data by detecting specific postures, like crouching, shooting or any potentially dangerous scenario. Our surveillance software operates on a three-pronged approach: calibration, detection and measurement, offering a comprehensive bird’s-eye view to clients. This upgrade also upholds mandated social distancing measures and keeps any face-to-face meetings to a minimal. The silver lining is that you can even use this technology when the pandemic is over. Now that’s what I call experiencing the next with AxxonSoft! Finding solutions to the challenges Our specialist technology and frontline technical support staff will ensure that your business is protected during and post-lockdown. We will continue to ensure that we provide solutions to the new challenges that the coronavirus brings, ensuring that our clients can emerge stronger and more responsive to any changes in the future. Our surveillance software operates on a three-pronged approach: calibration, detection and measurement While we must maintain social distancing, we can and will still be of service to our community. After all, change is not just about technology but about mastering mindsets. The COVID-19 disaster has demanded that businesses embrace tech disruptions as early as possible and apply technology in imaginative ways to define the new world of work. Until next time, stay safe!

The Digital Transformation Of Modern Access Control Solutions
The Digital Transformation Of Modern Access Control Solutions

The safeguarding of premises through the monitoring of entrance and exit points has traditionally been a very manual aspect of security. Human operators have been relied on to make decisions about who to admit and deny based on levels of authorization and the appropriate credentials. The access control business, like many industries before it, is undergoing its own digital transformation But the access control business, like many industries before it, is undergoing its own digital transformation; one where the protection of premises, assets and people is increasingly delivered by interconnected systems utilising IoT devices and cloud infrastructure to offer greater levels of security and protection. Modern access control solutions range from simple card readers to two factor authentication systems using video surveillance as a secondary means of identification, right through to complex networks of thermal cameras, audio speakers and sensors. These systems, connected through the cloud, can be customized and scaled to meet the precise requirements of today’s customer. And it’s the ease of cloud integration, combined with open technologies and platforms that is encouraging increasing collaboration and exciting developments while rendering legacy systems largely unfit for purpose. Remote management and advanced diagnostics Cloud technology and IoT connectivity means remote management and advanced diagnostics form an integral part of every security solution.Cloud technology and IoT connectivity means remote management and advanced diagnostics form an integral part of every security solution. For example, as the world faces an unprecedented challenge and the COVID-19 pandemic continues to cause disruption, the ability to monitor and manage access to sites remotely is a welcome advantage for security teams who might otherwise have to check premises in person and risk breaking social distancing regulations. The benefits of not physically having to be on site extend to the locations within which these technologies can be utilised. As an example, within a critical infrastructure energy project, access can be granted remotely for maintenance on hard to reach locations. Advanced diagnostics can also play a part in such a scenario. When access control is integrated with video surveillance and IP audio, real-time monitoring of access points can identify possible trespassers with automated audio messages used to deter illegal access and making any dangers clear. And with video surveillance in the mix, high quality footage can be provided to authorities with real-time evidence of a crime in progress. Comprehensive protection in retail The use of connected technologies for advanced protection extends to many forward-looking applications. Within the retail industry, autonomous, cashier-less stores are already growing in popularity. Customers are able to use mobile technology to self-scan their chosen products and make payments, all from using a dedicated app. From an access control and security perspective, connected doors can be controlled to protect staff and monitor shopper movement. Remote management includes tasks such as rolling out firmware updates or restarting door controllers, with push notifications sent immediately to security personnel in the event of a breach or a door left open. Remote monitoring access control in storage In the storage facility space, this too can now be entirely run through the cloud with remote monitoring of access control and surveillance providing a secure and streamlined service. There is much to gain from automating the customer journey, where storage lockers are selected online and, following payment, customers are granted access. Through an app the customer can share their access with others, check event logs, and activate notifications. With traditional padlocks the sharing of access is not as practical, and it’s not easy for managers to keep a record of storage locker access. Online doors and locks enable monitoring capabilities and heightened security for both operators and customers. The elimination of manual tasks, in both scenarios, represents cost savings. When doors are connected to the cloud, their geographical location is rendered largely irrelevant. Online doors and locks enable monitoring capabilities and heightened security for both operators and customers They become IoT devices which are fully integrated and remotely programmable from anywhere, at any time. This creates a powerful advantage for the managers of these environments, making it possible to report on the status of a whole chain of stores, or to monitor access to numerous storage facilities, using the intelligence that the technology provides from the data it collects. Open platforms powers continuous innovation All of these examples rely on open technology to make it possible, allowing developers and technology providers to avoid the pitfalls that come with the use of proprietary systems. The limitations of such systems have meant that the ideas, designs and concepts of the few have stifled the creativity and potential of the many, holding back innovation and letting the solutions become tired and their application predictable. Proprietary systems have meant that solution providers have been unable to meet their customers’ requirements until the latest upgrade becomes available or a new solution is rolled out. This use of open technology enables a system that allows for collaboration, the sharing of ideas and for the creation of partnerships to produce ground-breaking new applications of technology. Open systems demonstrate a confidence in a vendor’s own solutions and a willingness to share and encourage others to innovate and to facilitate joint learning. An example of the dynamic use of open technology is Axis’ physical access control hardware, which enables partners to develop their own cloud-based software for control and analysis of access points, all the while building and expanding on Axis’ technology platform. Modern access control solutions range from simple card readers to two factor authentication systems using video surveillance as a secondary means of identification Opportunities for growth Open hardware, systems and platforms create opportunities for smaller and younger companies to participate and compete, giving them a good starting point, and some leverage within the industry when building and improving upon existing, proven technologies. This is important for the evolution and continual relevance of the physical security industry in a digitally enabled world. Through increased collaboration across technology platforms, and utilising the full range of possibilities afforded by the cloud environment, the manufacturers, vendors and installers of today’s IP enabled access control systems can continue to create smart solutions to meet the ever-changing demands and requirements of their customers across industry.

The Growth Of The Mobile Access Card Market In 2020
The Growth Of The Mobile Access Card Market In 2020

The emergence of smartphones using iOS and Android is rapidly changing the landscape of the IT industry around the world. Several industries, such as digital cameras, car navigation, MP3, and PNP, have been replaced by equivalent or even better performance using smartphones. Smartphones provide increasing portability by integrating the functions of various devices into a single unit which allows them to connect to platforms with network-based services and offer new services and conveniences that have never been experienced before. These changes have expanded into the access control market. Although not yet widespread, ‘Mobile access cards’ is one of the terminologies that everyone has been talking about. RF cards used for access security are being integrated into smartphones just as digital cameras and MP3s were in the past. While people might forget their access cards at home in the morning, they seldom forget their smartphones. Using smartphones for access control increases entry access reliability and convenience. Mobile/smartphone access control A key aspect of mobile credential is that it makes it possible to issue or reclaim cards without face-to-face interaction As in other markets, the combination of smartphones and access cards is creating a new value that goes beyond the simple convenience of integration enhancing the ability to prevent unauthorized authentication and entrance. People sometimes lend their access cards to others, but it is far less likely they might lend their smartphone with all their financial information and personal information – to another person. This overcomes an important fundamental weakness of RF cards. Another valuable aspect of mobile credential is that it makes it possible to issue or reclaim cards without face-to-face interaction. Under existing access security systems, cards must be issued in person. Since card issuance implies access rights, the recipient’s identification must be confirmed first before enabling the card and once the card has been issued, it cannot be retracted without another separate face-to-face interaction. Mobile access cards In contrast, mobile access cards are designed to transfer authority safely to the user's smartphone based on TLS. In this way, credentials can be safely managed with authenticated users without face-to-face interaction. Mobile cards can be used not only at the sites with a large number of visitors or when managing access for an unspecified number of visitors, but also at the places like shared offices, kitchens and gyms, currently used as smart access control systems in shared economy markets. The market share of mobile access cards today is low even though the capability can offer real benefits to users and markets. While the access control market itself is slow-moving, there are also practical problems that limit the adoption of new technologies like mobile access cards. Use of Bluetooth Low Energy technology While NFC could be an important technology for mobile credential that is available today on virtually all smartphones, differences in implementation and data handling processes from various vendors prevents universal deployment of a single solution to all devices currently on the market. Accordingly, Bluetooth Low Energy (BLE) has been considered as an alternative to NFC. Bluetooth is a technology that has been applied to smartphones for a long time, and its usage and interface are unified, so there are no compatibility problems. However, speed becomes the main problem. The authentication speed of BLE mobile access card products provided by major companies is slower than that of existing cards. Enhancing credential authentication speed Authentication speed is being continuously improved using BLE's GAP layer and GATT layers The second problem is that mobile access cards must be accompanied by a supply of compatible card readers. In order to use mobile access cards, readers need to be updated but this is not a simple task in the access control market. For 13.56 MHz smart cards (which were designed to replace 125 kHz cards), it has taken 20 years since the standard was established but only about half of all 25 kHz cards have been replaced so far. Legacy compatibility and the need for equivalent performance, even with additional benefits, will drive adoption timing for the Access Control market. While BLE technology helps resolve the compatibility problem of mobile access cards, it can identify some breakthroughs that can solve the speed problem. Authentication speed is being continuously improved using BLE's GAP layer and GATT layers, and new products with these improvements are now released in the market. Making use of key improvements allows Suprema's mobile access card to exhibit an authentication speed of less than 0.5 seconds providing equivalent performance to that of card-based authentication. AirFob Patch MOCA System's AirFob Patch addresses the need for technological improvements in the access control market in a direct, cost effective, and reliable way – by offering the ability to add high-performance BLE to existing card readers – enabling them to read BLE smartphone data by applying a small adhesive patch approximately the size of a coin. This innovative breakthrough applies energy harvesting technology, generating energy from the RF field emitted by the existing RF reader – then converting the data received via BLE back into RF – and delivering it to the reader. By adding the ability to use BLE on virtually any existing RF card reading device, MOCA allows greater ability for partners and end users to deploy a technologically-stable, high performance access control mobile credential solution to their employees, using devices they already own and are familiar with. Adding MOCA AirFob Patch eliminates the need to buy and install updated readers simply to take advantage of mobile credential, lowering costs and risks, and increasing employee confidence and convenience. Growth forecast of mobile access card market in 2020 In 2020, forecasts show that the mobile access card market will grow far more rapidly Several companies have entered the mobile access card market, but they have not set up a meaningful product solution stream until 2019. In 2020, forecasts show that the mobile access card market will grow far more rapidly. Reviewing new entries into the market allows identification of the latest products that provide improving solutions to compatibility and speed problems. MOCA AirFob Patch addresses development plans in process today that overcome the legacy installed base of card readers – allowing rapid creation of an environment that can make immediate use of BLE mobile access cards. Integrated mobile digital ID With proven usability and within suitable environments, mobile access cards will also begin to make inroads into other markets, not just the access control market. In the sharing economy market, which seeks access management without face-to-face interaction, the integrated mobile digital ID led by the 'DID Alliance' will serve as a technical tool that can be used in access authentication – forging increasing links between the access control and digital ID markets.

Latest AxxonSoft news

Lessons Learned With AxxonSoft: How Have You Adapted To The COVID-19 Pandemic?
Lessons Learned With AxxonSoft: How Have You Adapted To The COVID-19 Pandemic?

The coronavirus pandemic has brought about an unprecedented crisis for businesses and individuals. It has also created a new normal, notwithstanding the disruption to our lives, ultimately changing life as we knew it. However, our resilience as humans will ensure that we survive and become better, stronger, and more determined than ever before. As I mentioned, both businesses and individuals have struggled significantly to balance the need for safety versus survival. But at AxxonSoft, we remain committed to keeping our people safe, while ensuring that our support and commitment to our clients are not compromised. Ensuring business continuity At AxxonSoft, our vision has always been to ensure business continuity through enhanced safety and video surveillance offerings. Adhering to the COVID-19 regulations, we are prescribing to social distancing to slow the spread of the virus. As such, we are utilising this time to ensure that our service offering is optimized to afford our clients the ability to repurpose and extend their remote working viabilities. As an essential service provider, we have ensured that we are providing the right tools to our clients to comply with regulations. Our video analytics and face recognition services have no reliance on on-site control rooms and, therefore, clients’ security solutions and personal safety are not compromised. Innovation reimagined During these precarious times, our focus remains on support and service. Our development team continues to work tirelessly to ensure that you can use our software during the lockdown and have accelerated innovation to this end. While we must maintain social distancing, we can and will still be of service to our community Therefore, we are proud to present version 4.11 of the Intellect PSIM, which offers our clients a neural network-based analytical tracker which recognises specific types of objects, such as humans and vehicles. We have also equipped this version with video wall management interface, automatic object tracking and a web reporting subsystem. Behavioral analytics generates data by detecting specific postures, like crouching, shooting or any potentially dangerous scenario. Our surveillance software operates on a three-pronged approach: calibration, detection and measurement, offering a comprehensive bird’s-eye view to clients. This upgrade also upholds mandated social distancing measures and keeps any face-to-face meetings to a minimal. The silver lining is that you can even use this technology when the pandemic is over. Now that’s what I call experiencing the next with AxxonSoft! Finding solutions to the challenges Our specialist technology and frontline technical support staff will ensure that your business is protected during and post-lockdown. We will continue to ensure that we provide solutions to the new challenges that the coronavirus brings, ensuring that our clients can emerge stronger and more responsive to any changes in the future. Our surveillance software operates on a three-pronged approach: calibration, detection and measurement While we must maintain social distancing, we can and will still be of service to our community. After all, change is not just about technology but about mastering mindsets. The COVID-19 disaster has demanded that businesses embrace tech disruptions as early as possible and apply technology in imaginative ways to define the new world of work. Until next time, stay safe!

AxxonSoft Announces Release Of Version 4.11 Of The Intellect PSIM
AxxonSoft Announces Release Of Version 4.11 Of The Intellect PSIM

AxxonSoft has announced the release of version 4.11 of the Intellect PSIM. The new version provides neural network–based analytics, video wall management interface, automatic object tracking with a PTZ camera, support for Intel Quick Sync Video hardware decoding, and servers for ONVIF and SIP protocols. The new release also includes updated versions of Face Intellect, POS Intellect, Auto Intellect, and Web Reporting subsystem, along with many other enhancements and improvements introduced. Video Analytics Neural Tracker The neural tracker uses DNN (deep neural network) to recognize specific types of objects, e.g., humans or vehicles. The neural tracker tracks objects in motion, which allows the application of any VMD-based detection tool: motion in an area, line crossing, appearance/disappearance of an object, etc. Detection based on the neural tracker can be applied to complex scenes with a large amount of non-relevant detail, whereas classic motion detection would be drowned out by false alarms. One neural tracker can work with several individually set-up counters, with various detection zones Object Counter A neural tracker can be linked to a counter that will periodically report the number of objects within a specified area in the FOV. One neural tracker can work with several individually set-up counters, with various detection zones, reporting intervals, etc. Neural Filter The neural filter works in parallel with the standard tracker, which allows the detection only of moving objects of a specified type or abandoned objects, while ignoring all other movement in the FOV. The results of their joint operation can be used by VMD-based detection tools in real time and recorded to a database that allows the quick location of objects of a specified type in recorded footage. Custom training of neural networks AxxonSoft offers custom training of the neural networks used by the neural tracker and neural filter To deliver high-quality video analytics, AxxonSoft offers custom training of the neural networks used by the neural tracker and neural filter. For each particular project, these AI tools are trained with the help of videos shot on site. Behavioral Analytics The neural network analyzes video and generates data on the postures of people in the FOV. This data is processed by analytical algorithms which are capable of detecting specified postures, such as crouching, lying prone, shooting, with hands up, or the appearance of an individual in any posture. Behavioral analytics detects potentially dangerous scenarios by specific postures, for example: An individual crouched down next to an ATM could be a burglar; One in a shooting position and other(s) with hands up could be an armed robbery. Enhanced and Optimized Added an option to save and recall templates for Forensic Search in Video Footage. A saved template can be re-used for further searches by using the same criteria. Updated neural algorithms for fire and smoke detection. Added Alarm Expired events for these detection tools, and an option to select processing hardware: GPU or CPU. Optimized memory consumption by the sweet-hearting neural detection tool that shows items not being swiped at the cash desk. Improved the stopped vehicle detection tool. Video Surveillance Added Tag&Track Pro feature that automatically tracks an object with a PTZ camera using coordinates obtained from the fixed camera's tracker. To start tracking a moving object, just click on its image. The PTZ camera will track it until the object leaves the fixed camera's FOV. Implemented support for the hardware decoding of H.264 streams using the Intel Quick Sync Video technology. The decoding is performed by an Intel GPU, which significantly reduces the Server's CPU load when applying video analytics, and the Client's CPU load when displaying video feeds. Added an option to hide selected portions of an archive. The availability of the options of hiding records and viewing hidden archives depends on the assigned user rights. One can now also mask faces on exported videos. To make it possible, the neural network automatically locates faces in recorded footage. These functions are required to comply with privacy and data protection requirements, such as the GDPR. Added an option to export videos from external storage, such as IP camera archives or NVRs. Added a comprehensive set of system events to audit operator's actions. Communication Protocols ONVIF Server - The ONVIF server is used for media streaming to external systems. It allows ONVIF clients to connect to an operating Intellect PSIM system, as they would to an ONVIF compatible device. Supported video streaming with synchronized audio in H.264/H.265/MPEG-4/MJPEG formats, multi-streaming, access to Video Footage, multicasting, authentication, and transmission of I/O events from devices and metadata. SIP Server - The SIP server allows the Intellect PSIM to connect to intercom devices such as IP door stations and push plates, and to create and route calls. The server supports audio and video calls, which can be recorded for further monitoring. Security system operators can now communicate via a new SIP Panel client interface. Each device and SIP Panel is assigned a calling ID number, and address books containing available call numbers are set up on SIP Panels. Other Protocols - Added support for the AMQP open messaging protocol, which allows the Intellect PSIM to receive and send RabbitMQ messages. Implemented the HTTP Server module, which is capable of sending events to an external system via HTTP polling. The User Interface Screen Manager Screen Manager is a new UI for video wall management. It enables convenient monitor layout management on selected PCs. Screen Manager can be used to: Create, edit, or delete layouts, and assign them to selected PCs; Remotely switch layouts on PCs. Operator Protocol For objects linked to a camera, they can now display a still image or recorded video of an event Operator Protocol is now completely revamped. Events list is now displayed as tiles, sortable by time and priority. Events processed by other operators are marked with a gray background, and their cells include the name of the Operator Protocol in which the processing has been completed. Users can now escalate an event to a specified operator. The parameters displayed along with the event are now selectable. For objects linked to a camera, they can now display a still image or recorded video of an event and zoom in on the alarm snapshot in a separate window. If an object is linked to multiple cameras, users can scroll between their images and can set video display in the Camera Window or ActiveX component. Set Bookmark checkbox All buttons and comments are now located on a single upper panel. An operator can now select several events, and work with them simultaneously. Another new feature added is a Set Bookmark checkbox for automatic creation of a bookmark in Video Footage when an event is processed by the operator. Operator's text comments are used for bookmark names. Incident management Additionally, a new feature added is the incident management function. If an operator selects an event, a list of required processing actions is displayed. The operator selects the required checkboxes, and information about their actions is added to text comments along with date/time stamps. In addition, the operator can now view processing instructions for events from any source object. Other new interfaces and enhancements The object context menu on the Map now includes an option to set the number of recent events to be displayed (up to 99). Introduced an option to request single frames or camera archives (also for cameras under a parent object) via the ActiveX component. The Main Control panel now includes the following information about the system - product name and version, installed subsystems' names and versions, available system objects list and the number of used objects, and license expiration date. Also added is a new graphs interface containing analog sensor data representations, and an interface allowing display of statistical data about objects' statuses as a table or a chart. User Rights Added support for Active Directory service, which enables synchronization between users and groups of the Intellect PSIM and their relevant Active Directory objects. When creating a new user rights group, operators can now import settings from an existing group. If multiple groups are selected, their combination is created. Added a setting to automatically shut down the session if the operator becomes idle. Added an option to limit the list of available actions on objects in video surveillance monitor and Map UIs. Added an option to disable frame/video export and printing a still frame from the video surveillance monitor. Auto Intellect 5.5 Introduced a module that uses the neural network to detect vehicle types. The module is capable of classifying passenger cars, vans, buses, trucks, and motorcycles. Integrated the IntLab container number recognition module. Updated the IntelliVision car number recognition module. Added support for new national license plate formats and running recognition on GPU and increased overall recognition quality. Basic virtual loop is now replaced with the IntelliVision virtual loop. The SDK for the AutoUragan LPR module is updated to version 3.7. Added new national formats and templates and increased operational stability. Updated VIT LPR module to version 2.7.2. Added new national formats and templates, increased recognition quality and stability; the GUI now includes tools for fine-tuning the module. Face Intellect 7.3 Integrated new YITU and SCT facial recognition modules. Updated VisionLabs facial recognition module to version 3.6.3. In the Tevian engine, recognition of emotion, race, and facial attributes (glasses, mustache, beard, hair color, headwear, etc.) was added to the existing age and gender guesstimation capabilities. Facial recognition now warns of faces covered with masks etc. and performs "liveness" checks to preclude identity spoofing. Operators can now use facial attributes for filtering, e.g., to find all males wearing glasses and/or with a beard. Emotion recognition allows you to evaluate the quality of personnel operations and the degree of customer satisfaction in banking, retail, and other industries. The Face Search tab now includes filters by name, department, and similarity rate, time window presets, and saving search parameters (filters) option. Operators can now launch a filtered search by double clicking a facial image in the captured/recognized faces log. Other new features: The full names of recognized persons now appear on live video under the facial bounding box; Users can now check an entire folder containing facial images against your DB; Facial recognition now has a configurable capture area; Facial DB replication across servers now allows a face to be added to all DBs by adding it to just one database. POS Intellect 5.4 Integration of the screening system allows data to be received from connected devices Integrated 5 models of POS terminals, 2 models of vehicle scales, a printer scales and the Sphinx screening management system that supports up to 5 handheld metal or metal/radiation detectors. The integration of the screening system allows data to be received from connected devices, recorded to the POS Intellect DB, used for captioning screening videos, and utilized for searching by text comments in Video Footage. The integrated solution allows one to control equipment and personnel operations for more efficient and reliable screening. In POS Intellect, existing integrations have been enhanced, and the wildcard search in captions has been introduced. Intellect Web Report System 3.4 The web report subsystem now includes new and updated reports, and new functions have been introduced. New Types of POS Reports - A "sweet-hearting" report allows one to view event video live. A canceled items report contains data filtered by specified cashiers and item names over a specified period. A canceled amount report is similar to the one previously listed and includes the total value of canceled items. New Types of Time and Attendance Reports A consolidated employees report contains data on the total number of employees in specified departments, and the number of employees staying in a specified area at the moment of reporting, or on a specified time/date. A detailed employees report contains data on the number of employees staying in a specified area during each day of a specified time period. Other New Report Types - A customer counter report contains information about the number of visitors who entered/exited a specified area over a specified period and is presented as a graph or as a table. A graphical report on events represents the number of events of a specified type for the selected types of objects over a specified time period. The exported report includes both a graph and a table. A pass card report contains information about the times of issuing pass cards for specified employees, or departments, as well as the types of cards and their expiration dates. A recognized rail car numbers report contains information about error detection with a check digit and a photo from the linked camera.

Can AI Video Analytics Ever Really Be Intelligent?
Can AI Video Analytics Ever Really Be Intelligent?

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.

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