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Q: Mr. Seiter, Mr. Ekerot, you both joined Bosch Building Technologies’ business unit Video Systems & Solutions as Senior Vice Presidents in March 2020, when the Coronavirus pandemic was just beginning. How did your business unit get through 2020? Magnus Ekerot: The crisis was also felt at Bosch. At the same time, demand has risen for solutions that keep businesses open and protect people's health. We offer corresponding video solutions that can make a significant contribution to containing the pandemic. Michael Seiter: Overall, we managed the past year well despite the challenges and have been growing again since the third quarter compared to 2019. We see good opportunities for further growth in 2021. Q: Has the Corona crisis again accelerated the development of smart technologies in the security technology market, and does the security market in contrast to most industries benefit from the crisis more than it suffers? Michael Seiter: The Corona crisis has definitely demonstrated that the future lies in data-driven solutions. Thanks to our product development strategy already being based on this, we at Bosch were very quickly able to develop new products for the ‘New Normal’ and to expand existing products accordingly. To give one or two examples: in cooperation with Philips, we very quickly developed a people counting solution for retail operations – smart Philips displays in conjunction with smart cameras from Bosch that provide protection for staff and customers. The In-Store Analytics software solution was also implemented with additional features. Shop owners can now make decisions based on customer movement data such as “Where do we position products to avoid queues or crowds?” HTD involves a touch-free monitoring system to accurately and speedily identify people with heightened skin temperature The latest highlight is the Bosch Human Skin Temperature Detection solution, in short HTD. This involves a touch-free monitoring system to accurately and speedily identify people with heightened skin temperature at control points in offices, factory floors, or airports. The benefits of previously existing solutions on the market are sometimes called into question. Competitors are often unable to deliver what they promise because, for example, the measured temperature of the skin does not correspond to the core temperature of the person, or fluctuates, due to environmental influences. Therefore, we developed a software-based solution that, in compliance with GDPR, first allows people with potentially elevated body temperatures to be filtered out, and in a second step, allows medical personnel to perform a more targeted fever measurement. Q: You see a lot of potential for the video security industry in new technologies such as Artificial Intelligence and the Internet of Things. What specific opportunities do you mean, and how are you leveraging these technologies at Bosch Building Technologies? Michael Seiter: Bosch has committed itself fully to an “AIoT” – AI meets IoT – strategy. The development of AI algorithms and software, in general, is at Bosch significantly driven in the security space. By AIoT, we specifically mean the networking of physical products and the deployment of artificial intelligence. With AI we aim to enable clients to understand events at an ever-deeper level and predict them in the future – the keyword being predictive – so that they can act proactively. This is particularly important for health and safety. An example is the Intelligent Insights solution where the user can anticipate potentially dangerous situations, for instance in maintaining social distance and a maximum number of people numbers in any one area. Q: From your point of view do you have an advantage over other suppliers when it comes to AI-based products in the video arena? Michael Seiter: The analysis and utilization of video data have long been front and center with us. Since 2016 we’ve been following the strategy of offering AI applications in the form of integrated intelligent video analytics as a standard in our network cameras. Data such as color, object size, object speed, and direction are all measured. Simply put, you can say this is seeing and understanding – which is the principle behind smart security cameras. Today it’s much more a question of intelligent, data-based solutions than collecting high-quality pictures and storing them for the record. Bosch has been investing heavily in AI for years, from which we can benefit greatly in our area. In the first quarter, for example, we will launch a vehicle detector based on deep learning that is already running on our cameras. This will create significant added value for our customers in the area of intelligent traffic control. Q: Mr. Ekerot, what advantages do customers have in AI-based video security from Bosch? Magnus Ekerot: A key advantage is strong customer focus with tailored solutions that are at the same time modular and scalable through new AI algorithms A key advantage is our strong customer focus with tailored solutions that are at the same time modular and scalable through new AI algorithms. Take the example of Camera Trainer, a machine learning software that can be directly uploaded to Bosch network cameras. The camera is thus trained up on recognizing objects and situations – tailored to the specific needs of our customers. If the camera detects the defined scenario, it performs a predefined action in real-time – for example, a count or an alarm. The latest example is our new camera platform Inteox. As a completely open camera platform, Inteox combines Bosch's intelligent video analytics with an open operating system. This allows programmers to develop specific software applications - or apps - for various application purposes. These can then be loaded onto cameras – the same principle as an app store for smartphones. To sum up, Bosch AI applications support customer-specific needs related to data analysis while enabling totally new applications within and beyond the video security market. Q: Can you name a specific current project where Bosch has deployed an AI-based solution? Magnus Ekerot: A current ground-breaking project using our smart cameras is being implemented as a pilot in the USA. Smart Ohio enables users to configure more intelligent traffic flows and thus ensure mobility, safety, and the efficient use of roads today and tomorrow. The new vehicle detector mentioned by Mr. Seiter also plays a central role here. Our overall goal is to provide connected smart sensor solutions for public and private transportation agencies to enable them to operate their roads safely and efficiently. The Intelligent Insights can anticipate potentially dangerous situations, for instance in maintaining social distance and a maximum number of people numbers in any one area Q: Mr. Seiter, you have been involved with the topic of mobility for some time. What experience from your previous job in the automotive business of Bosch might help you when it comes to further develop the video portfolio of Bosch Building Technologies? Michael Seiter: There's a lot to tell. First of all, the development of core algorithms for video-based solutions, whether for autonomous driving, for vehicle interior monitoring, or for our Bosch Building Technologies video systems, all come together at Bosch's Hildesheim location. This gives us considerable synergies and allows us to bring R&D results to market faster and more flexibly. Essentially, assisted driving systems use AI algorithms that process ever-increasing volumes of video data. Attempts are being made to imitate the human being and enable the vehicle to understand better the surrounding environment with its ‘eyes’. This predictive capability is especially critical with autonomous driving. For example, key questions include: “How should the car respond and what could potentially happen next?” “What kind of environment does it find itself in?” etc. There are many activities in this area at Bosch that in my new role in security we can also strongly benefit from. I am now bringing a lot of this experience and existing R&D achievements to Bosch Video Systems & Solutions, which also results in further synergies with our mobility division: At Stuttgart Airport, autonomous driving is already being implemented together with Mercedes-Benz and the parking garage operator Apcoa as part of the "Automated Valet Parking" project, or AVP for short, in which intelligent video systems from Bosch Building Technologies are making a significant contribution. Mr. Ekerot, you have a lot of experience in the video security area. Where do you position Bosch Building Technologies now in this market and what specific goals are you pursuing? Magnus Ekerot: Our clients are looking for reliable partners and products. We are a strong brand; you can rely on Bosch products. Bosch is a thought leader in video and a pioneer in AI applications in this field since 2016. Data security is everything to us: Our products conform to the EU’s GDPR regulations. Beyond that, we have an extensive camera portfolio that complies with the US National Defense Authorization Act (NDAA) for video security devices. This enables our portfolio to be deployed for example within US government buildings. We are planning to conclude more software maintenance agreements with our clients in 2021. These deliver investment and future security for our customers and include for example a ‘patch guarantee’ along with regular updates with new functionalities. This is the first step in a comprehensive plan to access new revenue channels for us and our partners delivering the best technology and excellent service to the end-user! Overall, many new products will be launched this year and this trend will intensify. Our goal is to establish new product families that follow a simple principle: “The development and delivery of disruptive, predictive video solutions that every user can trust because of the underlying sustainable forward-thinking mindset.” It’s been much discussed of late that Bosch is one of the very first companies globally that operates on a CO2-neutral basis. How does sustainability impact your business? Magnus Ekerot: IoT solutions are actually sustainable and contribute to environmental protection Our IoT solutions are actually sustainable and contribute to environmental protection. For example, our cameras are sustainable in that they remain up-to-date through software updates and needn’t be constantly exchanged for new ones. Our systems demonstrate sustainability also operationally as they can be managed remotely. System integrators don’t need to be physically present, thus avoiding unnecessary travel with its accompanying emissions. All in all, Bosch Building Technologies develops ways to accompany and support our clients in reaching their climate goals via new technologies. This can be done, for example, through improved energy efficiency, the total cost of ownership models, organizing and simplifying the supply chain, and helping our customers meet their social responsibilities. The Power of Bosch helps us here to leverage company-wide research to be two steps ahead, a shade faster, when it comes to new technologies and initiatives that our and future generations will benefit from. I should also say that I am personally very proud to work for a company that set an ambitious climate goal for itself and achieved it! Can you already share a preview of your technology innovations in 2021? Michael Seiter: We see great market potential for our cameras that use artificial intelligence and can be updated flexibly throughout their lifecycles. I have already mentioned the deep learning-based vehicle detector in our cameras. More such solutions – also for other applications where object and person recognition are important – will follow in the course of the year. And the best part is: with AI, the more data we collect and the more intelligently we use it, the better the solutions become and the more added value they bring to the customer. This will revolutionize our industry! Another example is our cloud-based solutions, for example for alarm monitoring. Here, we can now also integrate third-party cameras and, building on this, offer and jointly develop our intelligent software-based solutions. This gives our customers more opportunities to take advantage of the opportunities created by AI. The trend towards integration of the various security technologies seems to be driven mostly by the rapid progress in software development. Does this affect full-range suppliers such as Bosch and what specific plans for fully integrated security solutions do you have for the future? Michael Seiter: Naturally, this suits us as a full-scope supplier. Bosch solutions are deployed in many cross-domain client projects. We have experts for the different domains under one roof and a strong brand with the same quality promise for all areas. Nevertheless, it is always also about specific domain excellence. Only when you master all different areas and have profound and proven expertise in each of them you can succeed in integrated cross-domain projects. The respective business units craft their future strategies and innovation roadmaps with this in mind – as we do in the field of Video Systems & Solutions. Our business unit offers fully integrated Bosch video solutions that can be extended and operated on open systems. This is why we drive open platforms such as Inteox, to offer customers from a wide range of industries the right solutions. Our Bosch Integration Partner Program that we launched in 2012 is also heading in this direction – every product can be integrated into multiple other systems and VMS solutions. In summary: At Bosch, we are both a one-stop-shop, but also an open-system, meaning we offer customers maximum flexibility in their choice of products and services.
Enclosures containing electronics, communications or cabling infrastructure offer a simple attack point for cyber breaches and an opportunity for a physical attack on the hardware. Yet, many of these assets are housed within enclosures that provide minimal security features to offer a deterrent to any would-be attacker. This has always just been a pet hate. Walking down the high street of a town anywhere in the United Kingdom, you can often see open street communication cabinets. You can actually look directly inside at the equipment. And if I was a bad guy, I could quite easily just put my foot into their enclosure and quite quickly take out their infrastructure. Charged service for enclosures This seems crazy when a US$ 2 magnetic contact on a door can quickly tell you whether your enclosure is open or shut, and can be vital in keeping your network alive. Moreover, the operators of these systems, whether it is telecoms or internet providers, are providing a charged service to their customers, so they should really be protecting their enclosures. Why has that security level not been so readily taken into the outside world, into the unprotected environment? More sobering, if you contrast this security approach to the approach taken in the data center world, an environment that already has multiple stringent security protocols in place, you get a very different picture. For instance, security devices can capture snapshots of anyone who opens a cabinet door in a data room, so it is recorded who has opened that door. While that is just one simple example, it begs the question. Why has that security level not been so readily taken into the outside world, into the unprotected environment? In my mind, a lot of it boils down simply to education. Network connection, easy point of cyber attacks Our preconceived idea about cyber security is some big corporation being knocked out or held to ransom by, again in our mind, someone sitting at a laptop, probably with their hood up over their head, typing away in the darkness, attacking us through the internet. But how the would-be criminal is going to come at us is just like in sport. They attack at the weakest point. Networks can be deployed in the outside world in many ways, such as cameras monitoring the highways. That means those locations will have a network connection. And that can be a point of attack in a non-secure outside world. Enclosures can be broken into by attackers Many people think, ‘That is okay because I’m going to take that ethernet device that my cameras are connected to and I’m going to put it inside an enclosure.’ However, what people do not realize is that the only thing that the enclosure is doing is protecting the ethernet device from Mother Nature. Because, without proper security, those enclosures can be broken into pretty easily. Many of them are just a single key that is not in any way coded to the device. Twofold cyber security People need to realize that cyber security is twofold. It can be carried out by hacking the network or physically breaking Therein lays the problem. People need to realize that cyber security is twofold. It can be carried out by hacking the network or physically breaking into the weakest physical point. And so, a simple boot through the open door of an enclosure can vandalise the devices inside and take down a small or large part of a network. And by definition, this meets the criteria for a cyber-attack. So, how do we go about tackling this problem? Well, security is a reaction marketplace. And for enclosures, there’s not, at present, a plethora of solutions out there for to counter these types of attacks. It can be challenging to find what you’re looking for through a quick Google search compared to searching for more traditional security protection measures. Deploying smart sensors and detectors But, under Vanderbilt and ComNet, we are currently taking our knowledge and experience from system installation and compiling it together. We’re bringing different products from different parts of our business to make a true solution. For instance, we have sensors for enclosures that detect anything from gas or smoke to open doors, detectors that will tell you if someone is trying to smash open your enclosure with a sledgehammer, or that someone is trying to lift your enclosure off of its mount. More importantly, as is not really a one-size-fits-all solution, we have developed a menu structure available that allows customers to pick and choose the ones that will best fit their own requirements.
While the application of facial recognition within both public and private spheres continues to draw criticism from those who see it as a threat to civil rights, this technology has become extremely commonplace in the lives of iPhone users. It is so prevalent, in fact, that by 2024 it is predicted that 90% of smartphones will use biometric facial recognition hardware. CCTV surveillance cameras Similarly, CCTV is a well-established security measure that many of us are familiar with, whether through spotting images displayed on screens in shops, hotels and offices, or noticing cameras on the side of buildings. It is therefore necessary we ask the question of why, when facial recognition is integrated with security surveillance technology, does it become such a source of contention? It is not uncommon for concerns to be voiced against innovation. History has taught us that it is human nature to fear the unknown, especially if it seems that it may change life as we know it. Yet technology is an ever-changing, progressive part of the 21st century and it is important we start to shift the narrative away from privacy threats, to the force for good that LFR (Live Facial Recognition) represents. Live Facial Recognition (LFR) We understand the arguments from those that fear the ethics of AI and the data collection within facial recognition Across recent weeks, we have seen pleas from UK organizations to allow better police access to facial recognition technology in order to fight crime. In the US, there are reports that LAPD is the latest police force to be properly regulating its use of facial recognition to aid criminal investigations, which is certainly a step in the right direction. While it is understandable that society fears technology that they do not yet understand, this lack of knowledge is exactly why the narrative needs to shift. We understand the arguments from those that fear the ethics of AI and the data collection within facial recognition, we respect these anxieties. However, it is time to level the playing field of the facial recognition debate and communicate the plethora of benefits it offers society. Facial recognition technology - A force for good Facial recognition technology has already reached such a level of maturity and sophistication that there are huge opportunities for it to be leveraged as a force for good in real-world scenarios. As well as making society safer and more secure, I would go as far to say that LFR is able to save lives. One usage that could have a dramatic effect on reducing stress in people with mental conditions is the ability for facial recognition to identify those with Alzheimer’s. If an older individual is seemingly confused, lost or distressed, cameras could alert local medical centers or police stations of their identity, condition and where they need to go (a home address or a next of kin contact). Granted, this usage would be one that does incorporate a fair bit of personal data, although this information would only be gathered with consent from each individual. Vulnerable people could volunteer their personal data to local watchlists in order to ensure their safety when out in society, as well as to allow quicker resolutions of typically stressful situations. Tracking and finding missing persons Another possibility for real world positives to be drawn from facial recognition is to leverage the technology to help track or find missing persons, a lost child for instance. The most advanced forms of LFR in the market are now able to recognize individuals even if up to 50% of their face is covered and from challenging or oblique angles. Therefore, there is a significant opportunity not only to return people home safely, more quickly, but also reduce police hours spent on analyzing CCTV footage. Rapid scanning of images Facial recognition technology can rapidly scan images for a potential match Facial recognition technology can rapidly scan images for a potential match, as a more reliable and less time-consuming option than the human alternative. Freed-up officers could also then work more proactively on the ground, patrolling their local areas and increasing community safety and security twofold. It is important to understand that these facial recognition solutions should not be applied to every criminal case, and the technology must be used responsibly. However, these opportunities to use LFR as force for good are undeniable. Debunking the myths One of the central concerns around LFR is the breach of privacy that is associated with ‘watchlists’. There is a common misconception, however, that the data of every individual that passes a camera is processed and then stored. The reality is that watch lists are compiled with focus on known criminals, while the general public can continue life as normal. The very best facial recognition will effectively view a stream of blurred faces, until it detects one that it has been programmed to recognize. For example, an individual that has previously shoplifted from a local supermarket may have their biometric data stored, so when they return to that location the employees are alerted to a risk of further crimes being committed. Considering that the cost of crime prevention to retailers in recent years has been around £1 billion, which therefore impacts consumer prices and employee wages, security measures to tackle this issue are very much in the public interest. Most importantly, the average citizen has no need to fear being ‘followed’ by LFR cameras. If data is stored, it is for a maximum of 0.6 seconds before being deleted. Privacy Privacy is ingrained in facial recognition solutions, yet it seems the debate often ignores this side of the story Privacy is ingrained in facial recognition solutions, yet it seems the debate often ignores this side of the story. It is essential we spend more time and effort communicating exactly why watchlists are made, who they are made for and how they are being used, if we want to de-bunk myths and change the narrative. As science and technology professionals, heading up this exciting innovation, we must put transparency and accountability at the center of what we do. Tony Porter, former Surveillance Camera Commissioner and current CPO at Corsight AI, has previously worked on developing processes that audit and review watch lists. Such restrictions are imperative in order for AI and LFR to be used legally, as well as ethically and responsibly. Biometrics, mask detection and contactless payments Nevertheless, the risks do not outweigh the benefits. Facial recognition should and can be used for good in so many more ways than listed above, including biometric, contactless payments, detecting whether an individual is wearing a facemask and is therefore, safe to enter a building, identifying a domestic abuse perpetrator returning to the scene of a crime and alerting police. There are even opportunities for good that we have not thought of yet. It is therefore not only a waste not to use this technology where we can, prioritising making society a safer place, it is immoral to stand by and let crimes continue while we have effective, reliable mitigation solutions.
Driven by the development of AI (Artificial Intelligence) and IoT (Internet of Things) technology, Network Video Recorder/NVR is no longer just the traditional data storage center in CCTV systems today. From initial connection demands of third-party IPC and PTZ suppliers, and docking demands of alarm sensor and platform manufactures, to alliance demands of algorithm and app developers, NVR (Network Video Recorder) is playing an increasingly significant role in connecting front-end devices, alarm sensors and other equipment. Open integration of NVR As a globally renowned video-centric smart IoT solutions and service provider, Dahua Technology has been actively cooperating with third-party software and hardware partners around the world through open integration of NVR, aiming to build an open and smart NVR ecosystem. The NVR Ecosystem also brings technology partners together to explore more possibilities While jointly creating value for customers and users, the NVR Ecosystem also brings technology partners together to explore more possibilities. Making NVR available to third-party devices and platforms enables third-party cameras and software/hardware manufacturers to connect to NVR through ONVIF and CGI/SDK, respectively. Furthermore, it also allows users to customize GUI style, run their own algorithms and develop apps on NVR, as per their needs and budgets. NVR DHOP Fully considering the system development demands of customers, Dahua Technology released NVR DHOP to allow third-party applications to be downloaded and installed on Dahua NVR hardware. Equipped with strong and powerful AI functions, Dahua Technology’s NVR DHOP boasts advantages such as flexible operation, safety guarantee, reliable quality, and strong support, which brings business growth opportunities to algorithm and app developers, who lack hardware devices and those with customization requirements for NVR GUI. Encrypted data storage and transmission In order to protect the interests of customers, all embedded third-party applications will pass legal verification and the data in storage or transmission will be encrypted. In addition, Dahua Technology’s professional R&D team provides continuous support in the whole process. Combining video with traditional alarm enables linkage between alarm signals and video footages Furthermore, the expanded application of the security field has also prompted the cooperation between NVR and traditional alarm manufacturers. Combining video with traditional alarm enables linkage between alarm signals and video footages, which can help warn-off intruders when an alarm is triggered. At the same time, it also allows users to search for relevant alarm videos stored in the NVR, achieving visual and intelligent alarm. Integration with third-party VMS suppliers By far, Dahua NVR (Network Video Recorder) has already completed integration with a number of third-party VMS suppliers, such as Milestone, AxxonSoft, Digifort, etc. Aside from general video storage and query functions, NVR can also assist third-party platforms in improving business operations and management with smart video analysis. Dahua NVR has been successfully integrated with the Milestone platform, providing temperature monitoring statistics reports during the COVID-19 pandemic and realizing efficient management of people with abnormal temperature. Enabling a safer society Adhering to the concept of openness, Dahua Technology will continue to embrace the diversity and inclusiveness of the AIoT (AI-IoT combined) era and build an ecosystem that provides customers with all-win success through open and interconnected cooperation, enabling a safer society and smarter living.
Dahua Technology, a renowned video-centric smart IoT solution and service provider, will hold its online Dahua Technology Partner Day 2020 on 1st of December. The event will be a perfect occasion to get a taste of the Dahua ECO system in the EMEA region. 26 technology partners will bring solutions in the field of security and IoT. Smarter Together is the central theme of the Dahua Technology Partner Day 2020. A total of 26 distinguished Dahua partners will gather to share their knowledge and expertise on the development of security and IoT applications for a variety of vertical markets. This online event will serve as a technological and commercial hub for end-users and system integrators from different markets, ranging from Logistics, Traffic and Infrastructures to Healthcare, Retail and Residential. Attendees can Register free of charge and tune in to all the partner keynotes. Explore business opportunities In the partner hub, participants can chat with technology partners, explore business opportunities or technical challenges and get the latest product information. The event will kick off with an opening speech by Mr. Jason Zhao, Dahua VP & General Manager of Overseas Business to introduce how Dahua Technology and its technology partners become smarter together. 26 Partners will showcase their solutions in a main auditorium and six different break out rooms, including Axxonsoft, Qognify, Ivideon, TechnoAware, Vaelsys, A.I. Tech, Optex, Eagle Eye Networks who joined in the 2019 offline partner day and gained much exposure and business opportunities last year. Global security industry We are moving the Partner day to an online event in order to sustain the opportunity of getting together" Integrated solutions developed by both Dahua Technology and its partners will be displayed during the event, which will surely raise spectators’ interest as they meet different needs of system integrators and end users with greater versatility.“The 2019 Partner Day held on September 26th at Estadio Wanda Metropolitano, Madrid was a success with many of our partners’ participation. However, 2020 is challenging because of COVID-19." "We are moving the Partner day to an online event in order to sustain the opportunity of getting together. During the event, leading representative companies in global security industry and IoT industry will have the chance to present their insights into the latest Security Application and also reflect on current challenges in the industry”, says Mr. Jiaqi Gao, Overseas Marketing Director at Dahua Technology. Smart integrated security solutions “The attendees will have the chance to meet security players in the market and create new and diverse business opportunities.” Committed to its mission of “Enabling a Safer Society and Smarter Living,” Dahua Technology will continue to adhere the core value of “customer-centered” and provide the market with smart integrated security solutions, systems, and services to create value for city operations, corporate management, and consumers.
AxxonSoft has launched version 4.4 of the Axxon Next intelligent VMS. This version includes new functions of neural analytics and camera management, enhanced GUI and Web Client, and many other enhancements and improvements. Supported body temperature measurement with a number of thermographic camera models. Measurement results appear as captions over video and are saved to an archive. Upon discovering an individual with abnormal body temperature, the camera creates an alarm event, and sends it to Axxon Next. The user can set up an auto response scenario to notify operators or responsible staff, start video recording, etc. Based on alarm events, the user can quickly find videos of individuals with elevated body temperature. Mask detection - Based on neural network algorithm for facial recognition, this tool detects the presence or absence of a mask on a face. Social distancing violation detection - Based on Behavior Analytics, close-standing people detection helps in social distancing enforcement. Along with non-contact body temperature measurement and mask detection, this function is included in a dedicated anti-pandemic solution. Video analytics The neural network analyses video and generates data on the postures of people in the FOV AI analytics - Neural tracker recognizes and tracks moving objects of a specified type, e.g., individuals or vehicles. The user can further apply Scene Analytics to recognized objects to detect their motion, stopping or lingering in an area, crossing a line, 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 numerous false alarms. In a specified time interval, the neural tracker counts objects of a specified type within a pre-defined area, and generates an alarm event upon reaching/exceeding a specified limit. Posture detection The neural network analyses 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, man-down, shooting, or raised arms. Posture detection helps recognize potentially dangerous scenarios, such as: an individual crouched down next to an ATM could be a burglar an individual(s) in a shooting position and other(s) with raised arms - could be an armed robbery Handrail holding detection helps in labor safety enforcement at production facilities, construction sites, working at height, etc. Posture detection–based counter tracks the total number of individuals within a specified area, and notifies staff upon reaching/exceeding the pre-defined limit. Update required analytics Network hardware acceleration - Added support for neural network acceleration in NVIDIA and Intel GPUs, including Mustang-V100-MX8 (HDDL), Neural Compute Stick 2 and Intel HD Graphics Water level detection - This tool reads water level values from measurement scale video. Its output is represented in the Camera window with a color-coded level indicator and, as an option, a numerical value. The user can use water level detection to monitor levels of any liquid in any basin or container. Facial recognition - Facial recognition now operates in real-time. Use the AxxonNet cloud service to create lists of Facial Templates and synchronize them across all Servers connected to the user’s AxxonNet account. Upon detecting a face, a list-specific response scenario is launched. The user can use this option to create lists of VIP and/or unwanted visitors, and automatically notify retail and security staff on their entry. DetectorPack - Axxon Next detection tools are now grouped by type (core, AI, facial, LPR) and compiled into a separate DetectorPack module, subject to independent continuous development and delivery. This makes it possible to download and update required analytics between point releases of VMS. Axxon Next 4.4 includes DetectorPack 3.4.0. Web client The new Web Client functions include: Simultaneous search on multiple camera channels for specified faces, vehicle numbers, detection events, or time interval Criteria- (MomentQuest) and time-based (TimeSlice) search Building a motion heat map Alarms panel displays all active alarms across the Axxon domain H.265 playback is supported (in the Edge browser with hardware acceleration set to on) The user can select one of the two H.264 display modes: all frames, or I-frames only Select the default layout to be displayed after the Web Client launch The user can now group cameras, create camera lists and sort cameras within a list by their names or IDs Camera management Recording on motion from embedded VMD - When the user adds a camera to their system, they can now quickly set up motion-based recording from on-board Video Motion Detection. For each added camera, the system automatically creates a VMD tool and a rule for automated recording to the specified file. When VMD triggering ends, video recording stops. Adding links to other cameras - Users can now include links to other cameras in a camera window. Clicking a link brings the user to the linked camera. This function facilitates object tracking between different camera FOVs. User Interface Videowall Management - A video wall is a set of display monitors physically and logically connected to act as a single screen. A video wall may include any monitor connected to any Client within the Axxon domain. In Axxon Next 4.4, the users can set up a video wall via a WYSIWYG GUI: monitor images on screen now match their physical layout. User rights now include an option to manage other Clients' monitors, not only local ones. On each monitor, users can set up layouts and quickly add cameras by dragging their icons from the Objects panel (Devices tree) or interactive Map. Hot keys for video walls control were added as well. Geo Map management - The user can specify coordinates of a camera: latitude, longitude, and bearing. When they add a camera to a geo map, its icon appears in a location that corresponds to its coordinates. On the map, the user can now search geo objects by their names. These functions will be useful for large-scale and distributed systems, including Safe City projects. Temporary layout in archive mode - The user can now create a temporary layout that includes cameras selected for Archive (video footage) viewing. This is a convenient tool for simultaneous viewing of multiple camera feeds for event analysis. When another layout is selected, the temporary layout is automatically deleted. Fast access to detection triggering events - The users can now quickly access detection triggering events on any layout with the newly introduced events panel to the right of the camera window. The panel contains the list of most recent detection events from tools created for this particular camera.
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