AxxonSoft CCTV Software

Insider threat programmes started with counter-espionage cases in the government. Today, insider threat programmes have become a more common practice in all industries, as companies understand the risks associated with not having one. To build a programme, you must first understand what an insider threat is. An insider threat is an employee, contractor, visitor or other insider who have been granted physical or logical access to a company that can cause extensive damage. Damage ranges from emotional or physical injury, to personnel, financial and reputational loss to data loss/manipulation or destruction of assets. Financial and confidential information While malicious insiders only make up 22% of the threats, they have the most impact on an organisation Most threats are derived from the accidental insider. For example, it’s the person who is working on a competitive sales pitch on an airplane and is plugging in financial and confidential information. They are working hard, yet their company’s information is exposed to everyone around them. Another type of insider, the compromised insider, is the person who accidentally downloaded malware when clicking on a fake, urgent email, exposing their information. Malicious insiders cause the greatest concerns. These are the rogue employees who may feel threatened. They may turn violent or take action to damage the company. Or you have the criminal actor employees who are truly malicious and have been hired or bribed by another company to gather intel. Their goal is to gather data and assets to cause damage for a specific purpose. While malicious insiders only make up 22% of the threats, they have the most impact on an organisation. They can cause brand and financial damage, along with physical and mental damage. Insider threat programme Once you determine you need an insider threat programme, you need to build a business case and support it with requirements. Depending on your industry, you can start with regulatory requirements such as HIPAA, NERC CIP, PCI, etc. Talk to your regulator and get their input. Everyone needs to be onboard, understand the intricacies of enacting a programme Next, get a top to bottom risk assessment to learn your organisation’s risks. A risk assessment will help you prioritise your risks and provide recommendations about what you need to include in your programme. Begin by meeting with senior leadership, including your CEO to discuss expectations. Creating an insider threat programme will change the company culture, and the CEO must understand the gravity of his/her decision before moving forward. Everyone needs to be onboard, understand the intricacies of enacting a programme and support it before its implemented. Determining the level of monitoring The size and complexity of your company will determine the type of programme needed. One size does not fit all. It will determine what technologies are required and how much personnel is needed to execute the programme. The company must determine what level of monitoring is needed to meet their goals. After the leadership team decides, form a steering committee that includes someone from legal, HR and IT. Other departments can join as necessary. This team sets up the structure, lays out the plan, determines the budget and what type of technologies are needed. For small companies, the best value is education. Educate your employees about the programme, build the culture and promote awareness. Teach employees about the behaviours you are looking for and how to report them. Behavioural analysis software Every company is different and you need to determine what will gain employee support The steering committee will need to decide what is out of scope. Every company is different and you need to determine what will gain employee support. The tools put in place cannot monitor employee productivity (web surfing). That is out of scope and will disrupt the company culture. What technology does your organisation need to detect insider threats? Organisations need software solutions that monitor, aggregate and analyse data to identify potential threats. Behavioural analysis software looks at patterns of behaviour and identifies anomalies. Use business intelligence/data analytics solutions to solve this challenge. This solution learns the normal behaviour of people and notifies security staff when behaviour changes. This is done by setting a set risk score. Once the score crosses a determined threshold, an alert is triggered. Case and incident management tools Predictive analytics technology reviews behaviours and identifies sensitive areas of companies (pharmacies, server rooms) or files (HR, finance, development). If it sees anomalous behaviour, it can predict behaviours. It can determine if someone is going to take data. It helps companies take steps to get ahead of bad behaviour. If an employee sends hostile emails, they are picked up and an alert is triggered User sentiment detection software can work in real time. If an employee sends hostile emails, they are picked up and an alert is triggered. The SOC and HR are notified and security dispatched. Depending on how a company has this process set-up, it could potentially save lives. Now that your organisation has all this data, how do you pull it together? Case and incident management tools can pool data points and create threat dashboards. Cyber detection system with access control An integrated security system is recommended to be successful. It will eliminate bubbles and share data to see real-time patterns. If HR, security and compliance departments are doing investigations, they can consolidate systems into the same tool to have better data aggregation. Companies can link their IT/cyber detection system with access control. Deploying a true, integrated, open system provides a better insider threat programme. Big companies should invest in trained counterintelligence investigators to operate the programme. They can help identify the sensitive areas, identify who the people are that have the most access to them, or are in a position to do the greatest amount of harm to the company and who to put mitigation plans around to protect them. They also run the investigations. Potential risky behaviour Using the right technology along with thorough processes will result in a successful programme You need to detect which individuals are interacting with information systems that pose the greatest potential risk. You need to rapidly and thoroughly understand the user’s potential risky behaviour and the context around it. Context is important. You need to decide what to investigate and make it clear to employees. Otherwise you will create a negative culture at your company. Develop a security-aware culture. Involve the crowd. Get an app so if someone sees something they can say something. IT should not run the insider threat programme. IT is the most privileged department in an organisation. If something goes wrong with an IT person, they have the most ability to do harm and cover their tracks. They need to be an important partner, but don’t let them have ownership and don’t let their administrators have access. Educating your employees and creating a positive culture around an insider threat programme takes time and patience. Using the right technology along with thorough processes will result in a successful programme. It’s okay to start small and build.

Today, the world is connected like never before. Your watch is connected to your phone, which is connected to your tablet and so on. As we’ve begun to embrace this ‘smart’ lifestyle, what we’re really embracing is the integration of systems. Why do we connect our devices? The simplest answer is that it makes life easier. But, if that’s the case, why stop at our own personal devices? Connection, when applied to a business’ operations, is no different: it lowers effort and expedites decision making. Integrating security systems Systems integration takes the idea of connected devices and applies it to an enterprise Systems integration takes the idea of connected devices and applies it to an enterprise, bringing disparate subcomponents into a single ecosystem. This could mean adding a new, overarching system to pull and collect data from existing subsystems, or adapting an existing system to serve as a data collection hub. Regardless of the method, the purpose is to create a single, unified view. Ultimately, it’s about simplifying processes, gaining actionable insights into operations and facilitating efficient decision-making. Although integration is becoming the new norm in other areas of life, businesses often opt out of integrating security systems because of misconceptions about the time and resources required to successfully make the change. So, instead of a streamlined operation, the various security systems and devices are siloed, not communicating with each other and typically being run by different teams within an organisation. Time-intensive process When systems are not integrated, companies face a wide range of risks driven by a lack of transparency and information sharing, including actual loss of property or assets. For example, a team in charge of access control is alerted to a door being opened in the middle of the night but can’t see what exactly is taking place through video surveillance. Without integrated systems they have no way of knowing if it was a burglar, an equipment malfunction or a gust of wind. Without integration between systems and teams, the ability to quickly put the right pieces in front of decision makers is missing. Instead, the team would have to go back and manually look for footage that corresponds with the time a door was open to figure out which door it was, who opened it and what happened after, which can be a time-intensive process. Integrating access control and surveillance systems Theft and vandalism occur quickly, meaning systems and users must work faster in order to prevent it This slowed response time adds risk to the system. Theft and vandalism occur quickly, meaning systems and users must work faster in order to prevent it. Security systems can do more than communicate that theft or vandalism occurred. Properly integrated, these systems alert users of pre-incident indicators before an event happens or deter events altogether. This gives teams and decision makers more time to make effective decisions. Integrating access control and surveillance systems allows for a more proactive approach. If a door is opened when it’s not supposed to be, an integrated system enables users to quickly see what door was opened, who opened it and make a quick decision. Integrated solutions are more effective, more efficient and help drive cost-saving decisions. Ideally, companies should establish integrated solutions from the start of operations. This allows companies to anticipate problems and adjust accordingly instead of reacting after an incident has occurred. Security camera system Although starting from the beginning is the best way to ensure comprehensive security, many companies have existing security systems, requiring integration and implementation to bring them together. Typically, companies with established security systems worry about the impact to infrastructure requirements. Is additional infrastructure necessary? How and where should it be added? What financial or human resources are required? These concerns drive a mentality that the benefits gained from an integrated solution aren’t worth the costs of implementation. Thankfully, this is becoming less of a problem as security providers, like Twenty20™ Solutions, work to offer adaptable solutions. With flexible options, operators don’t worry about adding or replacing infrastructure to align with a provider’s model. This allows users to monitor camera footage and gate traffic from one system If a company has an existing security camera system, but identifies a need for access control, a modern integrated solution provider can supply the gates for access points and equip the gates and cameras with the technology to connect the two. This allows users to monitor camera footage and gate traffic from one system. This model also spares operators additional costs by using a sole vendor for supplemental needs. Overall management of security While a single, unified system is beneficial for cost saving, it can also help the overall management of security. The ability to view all operating systems in one dashboard allows security personnel to manage a site from any location, reducing the expense and effort required to manage a system. The mobile world today means security directors no longer need to be in a centralised operations center to see alerts and make decisions. This simplifies processes by allowing users to quickly see an alert, pull up a camera, delete a user or check an access log from a phone. Modern networks are secure and accessible to those with permissions, without requiring those users to be physically present. Consolidating security systems is the first step companies can take toward streamlining work, information and costs. The next step is integrating all sites, both remote and on-grid. Energy and communication technology The integration of sites and systems turns mountains of data and information into actionable intelligence Traditional methods demanded two systems: one for on-grid facilities and another for off-grid locations. With advancements in energy and communication technology, the need for multiple systems is gone. Data from remote sites can be safely and securely fed into an existing system. These remote locations may gather, distribute and manage data in a different manner than a connected system due to the cost of transmission via remote connections (i.e., cellular or satellite connection). The end result, however, is a consistent and holistic view of operations for the decision maker. The integration of sites and systems turns mountains of data and information into actionable intelligence. With connected devices monitoring occurrences at individual sites, as well as events across locations, the data tells a story that is unhindered by operational silos or physical space. Identifying patterns and trends Instead of providing 10 hours-worth of footage that may or may not be relevant, system analytics can provide users with the specific set of information they need. Incidents once discarded as ‘one-off’ events can now be analysed and data-mapped to identify patterns and trends, directing future resources to the most critical areas first. Consumers are increasingly expecting everything they need to be right where they need it – and businesses are right behind them. The current generation of security professionals are increasingly expecting the simplicity of their everyday personal tasks to be mirrored in enterprise systems, which means giving them the ability to see what matters in one place. A unified system can provide just that, a single view to help simplify processes, promote cost saving and accelerate decision making.

Artificial intelligence (AI) is improving everyday solutions, driving efficiency in ways we never imagined possible. From self-driving cars to intelligent analytics, the far-reaching impacts of Deep Learning-based technology empower human operators to achieve results more effectively while investing fewer resources and less time. By introducing AI, solutions are not merely powered by data, but they also generate valuable intelligence. Systems which were once leveraged for a narrow, dedicated purpose, can suddenly be engaged broadly across an organisation, because the previously under-utilised data can be harnessed for enhancing productivity and performance. Video analytics software The video intelligence software processes and analyses video to detect all the people and objects that appear When it comes to physical security, for instance, video surveillance is a standard solution. Yet, by introducing AI-driven video analytics software, video data can be leveraged as intelligence in previously inaccessible ways. Here are some examples of how diverse organisations are using AI-based video intelligence solutions to enhance security and performance with searchable, actionable and quantifiable insights. Law enforcement relies on video surveillance infrastructure for extracting investigation evidence and monitoring people and spaces. Instead of manual video review and live surveillance – which is prone to human error and distraction – police can harness video content analysis to accelerate video investigations, enhance situational awareness, streamline real-time response, identify suspicious individuals and recognise patterns and anomalies in video. The video intelligence software processes and analyses video to detect all the people and objects that appear; identify, extract and classify them; and then index them as metadata that can be searched and referenced. Maintaining public safety For law enforcement, the ability to dynamically search video based on granular criteria is critical for filtering out irrelevant details and pinpointing objects of interest, such as suspicious persons or vehicles. Beyond accelerating video evidence review and extraction, police can leverage video analysis to configure sophisticated real-time alerts when people, vehicles or behaviours of interest are detected in video. Instead of actively monitoring video feeds, law enforcement can assess triggered alerts and decide how to respond. In this way, officers can also react faster to emergencies, threats and suspicious activity as it develops. Video analysis empowers cities to harness their video surveillance data as operational intelligence Empowering law enforcement to maintain public safety is important beyond the benefit of increasing security: A city with a reputation for effective, reliable law enforcement and enhanced safety is more likely to attract residents, visitors and new businesses, exponentially driving its economic development. Furthermore, in cities where law enforcement can work productively and quickly, time and human resources can be reallocated to fostering growth and building community. Video surveillance data Video analysis empowers cities to harness their video surveillance data as operational intelligence for optimising city management and infrastructure. When video data is aggregated over time, it can be visualised into dashboards, heatmaps and reports, so operators can identify patterns and more seamlessly detect anomalous behaviour. A city could, for instance, analyse the most accident-prone local intersection and assess the traffic patterns to reveal details such as where cars are dwelling and pedestrians are walking; the directional flows of traffic; and the demographic segmentations of the objects detected: Are cars lingering in no-parking zones? Are pedestrians using designated crosswalks – is there a more logical location for the crosswalk or traffic light? Do vehicles tend to make illegal turns – should police proactively deter this behaviour, or should the city plan new infrastructure that enables vehicles to safely perform these turns? Finally, does the rise in bike traffic warrant implementing dedicated biking lanes? With video intelligence, urban planners can answer these and other questions to facilitate local improvements and high quality of life. By leveraging the video insights about citywide traffic, public transit organisations can make data-driven decisions about scheduling and services Enhancing situational awareness Insight into traffic trends is also critical for transport companies, from public transit services to transportation hubs and airports. By leveraging the video insights about citywide traffic, public transit organisations can make data-driven decisions about scheduling and services. Analysing video surveillance around bus stops, for instance, can help these companies understand the specific hours per day people tend to dwell around bus stops. Correlating this information with transactional data for each bus line, bus schedules can be optimised based on demand for individual bus lines, shortening waiting times for the most popular routes. Similarly, the traffic visualisations and activity heatmaps derived from the video of major transit hubs, such as international airports and central stations, can be beneficial for increasing security, enhancing situational awareness, identifying causes of congestion, improving throughput and efficiency and, ultimately, solving these inefficiencies to provide a streamlined customer experience for travellers. Large education campuses Campus law enforcement can leverage video data to increase situational awareness and public safety Much like a city, large education campuses have internal transportation services, residential facilities, businesses and law enforcement, and video content analysis can support the campus in intelligently managing each of those business units, while also providing video intelligence to these individual groups. Campus law enforcement can leverage video data to increase situational awareness and public safety, driving real-time responses with the ability to make informed assessments and accelerating post-event investigations with access to easily extractable video data. When campuses are expanding or developing additional infrastructure, they can plan new crosswalks, traffic lights, roads, buildings and entrances and exits based on comprehensive video intelligence. By understanding where pedestrians and vehicles dwell, walk, cross or even violate traffic laws, the campus can inform construction projects and traffic optimisation. Countless business operations The campus can leverage video business intelligence to justify leasing pricing for different retailers across campus Finally, the campus can leverage video business intelligence to justify leasing pricing for different retailers across campus, demonstrating property values based on traffic trends that can be correlated with retailer point of sale data. Whether its empowering security, productivity or decision-making, the insights generated by AI-based technology can drive significant optimisation – especially when data is fused and cross-referenced across smart sensors and systems for even deeper intelligence. In the case of AI-backed video analytics, diverse organisations can harness video surveillance impactfully and dynamically. Whereas once video technology investments could be justified for their security value – with the introduction of AI capabilities – procurement teams can evaluate these solutions for countless business operations, because they offer broadly valuable intelligence. And video surveillance and analytics is merely one example of AI-driven solutions’ potential to disrupt business as we know it.

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 recognise risky situations early on, minimising 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 commoditised 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 analyse 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 analyse 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 specialised 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 behaviour 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 behaviour analytics works From a technical point of view, behaviour 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 behaviour 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. Behavioural 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? Behaviour analytics can be deployed wherever your clients' imagination takes them. With this feature, practically any pose that indicates potentially dangerous behaviour can be detected. Timely response to an alarm helps avoid material damages or, in other situations, casualties. Practically any pose that indicates potentially dangerous behaviour can be detected An area of potential development for behaviour analytics is the ability to analyse 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" behaviour 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 behaviour, such as a brawl breaking out in a public space. Ideally, behaviour 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.

Dahua Technology, globally renowned video-centric smart IoT solutions and services provider, successfully held its Dahua Technology Partner Day at Estadio Wanda Metropolitano, Madrid. The event has brought together strategic technological partners of the company, who have been sharing their expertise and know-how in the development of smart end-to-end solutions. Dahua Technology Partner Day In this rapidly changing smart IoT era, challenges come with opportunities" In the afternoon, the event presented a comprehensive conference program, which highlighted the key roles of innovation and collaboration in the development of security solutions for different vertical markets. The conference kicked off with an opening speech by Mr. Jason Zhao, Dahua VP & General Manager of Overseas Business, who welcomed the presence of all the customers and partners at the event and extended his gratitude towards their long-term support. “Openness is a key strategy of Dahua Technology. In this rapidly changing smart IoT era, challenges come with opportunities. Let’s embrace the openness and partnership, and create smart solutions together,” he said. In addition, Dahua Technology’s distinguished partners Milestone, Axxonsoft, Qognify, Intel, Seagate, Advancis and Ivideon also shared their expertise during the event. Their speeches have highlighted their latest security solutions and the possibilities of integrated solutions. They were joined by the event’s keynote speaker, Mr. Xingming Zhang, Dahua VP and General Manager of R&D Center. AI-powered products Gathering around 500 people, the Dahua Technology Partner Day has served as an opened platformMr. Zhang presented the technical application change of the security industry in the AI era, and demonstrated Dahua Technology’s plan of developing AI powered products, establishing the ecosystem platform for cooperation, to create smart solutions together with partners to empower various vertical industries. Dahua Technology Partner Day also featured exhibition spaces with integrated solution demonstrations. The event concluded with a gala dinner where attendees enjoyed food and wine, and entertainment shows. Gathering around 500 people, the Dahua Technology Partner Day has served as an opened platform where global industry players, system integrators and end-users had the opportunity to interact with each other and get first-hand knowledge of the most innovative security solutions, new trends and current challenges of this growing sector.

AxxonSoft, a developer of intelligent VMS and PSIM software, is proud to present Axxon Next VMS version 4.3.2. The new version introduces new capabilities in video analytics and smart forensic search, integration of multiple camera feeds into a single panoramic view, centralised server management for maintenance and updates, as well as many other enhancements and improvements. Added Queue Length and Visitor Counter detection tools. The Queue Length detection tool counts visitors within a designated area and notifies the system when the limit is exceeded. The Visitor Counter counts visitors entering and exiting a specific area. Both detection tools are targeted at the retail industry. They provide accurate estimates of traffic in stores and sales areas and enable effective management of POS staff. Smoke video detection Support for handling metadata from ANPR cameras was added as well Support for handling metadata (recognised license plates) from ANPR cameras was added as well. This makes it possible to reduce the server load while searching in Video Footage by license plate numbers. That means you can use more cameras per server. AI-powered fire and smoke video detection tools now use dedicated neural networks for each type of hardware (CPU, GPU, and Intel® Movidius™ VPU) for increased performance. MomentQuest is now available through a web client that comes even closer to desktop software. The MomentQuest smart forensic search system performs real-time scene analysis and generates a stream of metadata – a lean description of moving objects within the scene – which is recorded along with video stream. Retrieving recorded footage To retrieve recorded footage of an event of interest, you just need to enter specific criteria: motion in area(s), crossing of a line, object colour or size etc. Within seconds the system displays relevant video thumbnails, which makes it truly interactive. Also, you can now use saved MomentQuest search criteria on any other camera channel. You can zoom in on a portion of the panoramic view to display it in a separate tile The newly introduced FrameMerge function ensures much more convenient and efficient coverage of wide areas, such as sports arenas, airports and seaports, warehouses, production facilities, and public spaces. FrameMerge stitches video feeds from adjacent cameras into a single panorama which can be viewed in real time, played back from Video Footage, or exported. You can zoom in on a portion of the panoramic view to display it in a separate tile. Integrated video image The panoramic view is stitched automatically - the algorithm scans images from adjacent cameras for appropriate stitching points and matches these points in the integrated video image. The Failover Service is sufficiently improved. You can now suspend any server in the cluster with no system downtime, e.g. for maintenance. The configuration of the suspended server will be automatically transferred to the backup server and restored when the server is restarted. All servers within the cluster can now be updated with a single distribution package or a link to a file on the network. This approach makes system updates a breeze.