Avigilon Links High Definition Video With Point Of Sale Transaction Data
Avigilon Links High Definition Video With Point Of Sale Transaction Data

Launched at ASIS 2009 in Anaheim, CA, the Avigilon Control Center HD Point-of-Sale (POS) Transaction Engine is a new add-on feature to the award winning Avigilon Control Center Network Video Management Software (NVMS). Avigilon Control Center HD POS Transaction Engine links live and visually lossless recorded high definition video with transaction data, enabling security professionals to search and quickly find specific transactions and associated indisputable video evidence for event validation.Meeting the increasing demands for better video quality, Avigilon Control Center HD POS Transaction Engine helps customers reduce shrinkage and theft, and address compliance requirements, by enabling security professionals to more quickly and successfully find video surveillance footage associated with a specific transaction. The transaction engine provides customers the ability to link vital business intelligence with HD video, helping to analyse operations and improve bottom line performance."With the current economy, all departments within an organization are focusing on performance," said Dave Tynan, vice-president of global sales and marketing at Avigilon. "The new Avigilon Control Center HD POS Transaction Engine is a highly effective tool for associating any character based transaction data-such as point of sale data and bar code data-with HD video to provide indisputable and instantaneous evidence to deal with liabilities, shrinkage, service level improvement, and process efficiencies."Avigilon Control Center HD POS Transaction Engine includes the following features and benefits:Multiple streams of transactions from devices such as cash registers, automated teller machines (ATM), or bar code scanners can be associated to a single HD camera to cover a larger field of viewTransactions are linked to associated video to allow instant review, including accessing individual transactions using a powerful search functionTransaction information is simultaneously displayed alongside live or recorded videoException filtering and reporting allows the triggering of events when transactions match certain criteria. These events can be mapped to on-screen alerts, e-mail alerts, and other system events.

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March Networks Searchlight For Retail
March Networks Searchlight For Retail

March Networks Searchlight for Retail enables all types of retail organizations – including specialty retail, grocery stores, quick service restaurants (QSRs) and convenience stores (c-stores) – to reduce losses from theft, oversee operations, improve customer service and increase profits. The intelligent software integrates clear surveillance video with data from retail systems including point-of-sale (POS) and RFID tags to alert loss prevention staff and business owners to instances of potential theft, and reduce investigation times from hours to minutes. In addition, Searchlight’s optional business analytics (e.g. people counting, dwell time monitoring and queue length) combined with video data provide valuable insights on occupancy, speed of service, transactions conducted with no customer present, and customer interest. Available as a standalone software application, or as a hosted software as a service (SaaS) for a low monthly fee, Searchlight for Retail delivers key benefits to retailers including: Transaction Summaries. View and compare user-definable report summaries (voids, refunds, discounts, etc.) to identify potential issues based on transaction trends over time. Transaction Reports. Review transaction data integrated with video to quickly investigate instances of potential internal theft, and to evaluate employee behavior at the POS. Business Analytics. Uncover customer trends and employee Key Performance Indicators (KPIs), and gain insight into overall store or restaurant operations. Operations Audits. Review snapshots from the cameras at your locations to see what’s happening, and discern operational issues like cleanliness, safety concerns, placement of promotional displays, etc. Business Rules. Detect possible fraud by reviewing lists of transactions and events that are important to you, e.g., no sales, safe drops, and transactions that exceed a certain amount, and be automatically alerted about these events via email. Security Audits. Filter by location ID and/or alarm type, and view alarm video from the vantage point of one or multiple cameras; export alarm details along with relevant video and audio evidence. Integrate your video surveillance system with leading POS and RFID software. A portfolio of POS and RFID integrations are available off-the-shelf; customized integrations can be configured as needed.

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Milestone Aggregates Video Analytics Tools Under A Single User Interface With XProtect Analytics Framework
Milestone Aggregates Video Analytics Tools Under A Single User Interface With XProtect Analytics Framework

Milestone Systems, a leader in true open platform IP video management software, offers an analytics operating framework that is unique in the industry: XProtect™ Analytics 2.0. XProtect Analytics seamlessly integrates video analytics tools from different manufacturers under a single, easy-to-manage interface. This gives a powerful, future-proof framework for implementing and managing different video analytics applications that addresses some of the key industry issues such as the end user's need to easily correlate alerts between various analytics tools. Using the Milestone correlation tools, they can rapidly search across alerts and events to easily find relevant video evidence about security incidents from multiple sources.A combination of advanced analytic tools and optimized IP-based video technology based on the Milestone open platform, XProtect Analytics Framework enables video analytics at the edge (on camera) and at the server, minimizing processing power and adding value to archived video. With XProtect Analytics users can correlate events from generic tools such as license plate recognition, facial recognition and traditional real-time access control with alerts from video content analysis tools, such as object detection, etc. Users can build strong, accurate evidence by cross-matching events in real-time and from archived video.Integrating video analytics with open platform video management systems gives a flexible choice of hardware and software that greatly expands the potential for video analytics and increases the value of archived video. A true open platform solution, such as the Milestone Video Analytics 2.0 Framework, simplifies system operation by integrating a wide variety of video analytics products under one easy-to-manage user interface. This gives a powerful surveillance solution with a flexible IP video management system and a central console for operating, collecting and correlating events from multiple sources. Click here to view the framework in full Click here to view the screenshot in full

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Verint Expands Channel Partner Program For Security Systems Integrators
Verint Expands Channel Partner Program For Security Systems Integrators

Verint announced the launch of its Verint Channel Partner Program. The Verint Americas-based program provides sector-specific training, guidance, and certification designed to deliver strategic value to systems integrators and greater awareness in provider selection to organizations that specify and use Verint's Nextiva® video intelligence solutions. "The Verint Channel Partner Program is designed to meet the security challenges of organizations whose operations are critical to the functioning of the nation, its government and its economy. By providing training, guidance and certification geared specifically to advance today's enterprise and critical infrastructure environments, the program helps build a cadre of systems integrators highly qualified to implement the most effective IP video solutions for this critical sector," says Debjit Das, vice president of global marketing, Verint Video Intelligence Solutions™. Derek Radoski, certified protection professional vice president of Orion Systems Group, a leading system integration firm, speaks to the added value for both Verint partners and their customers. "Verint is a strategic partner that understands what customers need-a trusted advisor to design, implement and grow their security solutions. As a part of Verint's Channel Partner Program, we are pleased to continue to gain knowledge and certifications that will position us to provide our customers with the optimum value from their investment in Verint Nextiva." Verint Nextiva is an award-winning, enterprise-class IP video portfolio that provides a single source for virtually every facet of video surveillance operations. Nextiva features IP video and physical security information management software, integrated analytics, encoders, cameras, wireless devices and intelligent NVRs for use across a variety of vertical market environments. Designed to streamline video management for operations of any size, the integrated Nextiva portfolio provides greater situational awareness and response capabilities, while minimizing the cost and complexity of video system deployment, maintenance and migration to IP. The complete Nextiva portfolio will be exclusively available to Verint associate and advanced partners. Advanced partner certification will be granted to organizations that have completed technical training, proven demonstration capabilities, registered end-user satisfaction and performed an "advanced readiness" audit. Designed to familiarise Verint partners, customers and consultants with its Channel Partner Program, the company will be hosting a complimentary, technology-focused road show across six cities: New York, Seattle, Los Angeles, Chicago, Washington and Houston. Taking place October through December 2011, these seminars also will feature the latest industry-leading security solutions designed to meet the challenges of today's environments. Additional information is available at www.verint.com/channelpartnerprogram.

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Video Surveillance software - Expert commentary

Fighting Illicit Trade With Artificial Intelligence
Fighting Illicit Trade With Artificial Intelligence

AI has opened doors to many transformation opportunities and increasingly minimised many risks  -- personal and economic -- that are alarming today. And illicit trade is one of those pains AI can offer a promising solution against. Illicit trade is a serious threat and problem that affects governments and societies on every level. While governments lose financial funds in tax revenues, thriving businesses are losing potential customers, and customers are getting tricked into purchasing counterfeit, low-quality products. Transnational organized crime generates revenue of $2.2 trillion through transnational criminal organizations, complicit corrupt facilitators, and other threat areas. The list of criminal activities is long and involves such horrific crimes as trafficking of narcotics, opioids, arms, humans, fake medicines and other counterfeit and pirated goods; illegal tobacco and alcohol; illegally-harvested timber, wildlife, and fish; pillaged oil, diamonds, gold, and other natural resources and precious minerals; stolen antiquities; and other contraband or valuable items sold across streets, social media, online marketplaces, and the dark web. In short, illicit trade is a contributing cause to large-scale insecurity and instability across markets. AI-driven technologies Here is where revolutionary AI-driven technologies come in, with their capability to fight illicit trade across markets. AI technologies in this specific application promise to help build safer and more secure communities in the future. There are a few ways that AI can support the ongoing fight against illicit trade on a global scale in a tangible way. Transnational organized crime generates revenue of $2.2 trillion For financial transactions at risk of fraud and money laundering, tracking has become an increasing headache if done manually. As a solution to this labour-intensive process, AI technology can be trained to follow all the compliance rules and process a large number of documents -- often billions of pages of documents -- in a short period of time. Among these documents widely in circulation, most have an unstructured and inconsistent format -- from invoices to insurance documentation -- are a complex system to tackle; in this whirlwind of pages, the likelihood of non-compliant and misrepresented figures to go by unnoticed. But this is also where AI can thrive as solutions become a necessity, enhancing humans’ capabilities of identifying fraud risks in the early stages. Relying on natural language processing, the technology can begin interpreting the text from the scanned and digitised documents in order to process trade information at high speed. In this context, AI-powered solutions are capable of comparing, contrasting document information and identify anomalies worth looking into further. By automating a large portion of the process, AI-driven technology allows the staff to focus on more pressing, high-involvement issues that require human judgement while saving time on the time-consuming manual work of analyzing documents by hand. Identifying covert interactions between criminals As criminal networks become increasingly intricate in their illegal operations, cutting-edge AI technology is crucial in the battle against it. In 2019, EU launched a project with the goal to deploy advanced AI technology and robots to identify smuggling across the borders of Portugal, Estonia, Italy, Greece, Bulgaria, Romania and Hungary.  With the help of AI, it will be possible to send drones and autonomous vehicles to the most dubious border areas in order to enforce border control and detect smugglers quickly and efficiently. Illicit trade triggers a chain reaction of negative impact across industries, governments and individuals The issues the EU is trying to address through the project include drug and weapon smuggling, as well as human trafficking. From tight border control tracking crossings to communication monitoring to identify covert interactions between criminals on both sides of the border, the project is one among many that will expand the scope of solutions to the illicit trade problems today. AI’s contribution is significant on many levels: from predicting crime and threats to safeguarding public health and safety (in face of human trafficking, counterfeit medicines, and toxic products), these are simply inklings of major shifts that AI technology promises for the future of the battle against illicit trade. So why is fighting illicit trade so crucial? Here are a few reasons why AI’s role in fighting this global issue is crucial. In a world where customers run the risk of being deceived and tricked into buying counterfeit products, companies who provide the original products suffer through the loss of revenue and market share. The same companies are also robbed of their intellectual property and proprietary data. Furthermore, people who are employed in these companies run the risk of losing their jobs as a result of revenue and market share loss. And finally, the last straw is the loss of brand integrity and reputation to the need to compete with low-quality, sometimes even dangerous counterfeit products. Just like a domino effect, illicit trade triggers a chain reaction of negative impact across industries, governments and individuals. And it’s time for AI to step in and stop it.

Edge Computing, AI and Thermal Imaging – The Future of Smart Security
Edge Computing, AI and Thermal Imaging – The Future of Smart Security

Smart security is advancing rapidly. As AI and 4K rise in adoption on smart video cameras, these higher video resolutions are driving the demand for more data to be stored on-camera. AI and smart video promise to extract greater insights from security video. Complex, extensive camera networks will already require a large amount of data storage, particularly if this is 24/7 monitoring from smart video-enabled devices. With 4K-compliant cameras projected to make up over 24% of all network cameras shipped by 2023 – there is a fast-growing desire for reliable storage on-board security cameras. The question for businesses is: do they look to break up their existing smart video network, by separating and compartmentalising cameras to handle data requirements, or do they increase its storage capabilities? As some people begin to venture out and return to work following initial COVID-19 measures, we are also seeing demand for thermal imaging technology increase. New technology like this combined with more of these always-on systems being rolled out, means organizations will need to carefully consider their smart video strategy. Newer edge computing will play an important role in capturing, collecting, and analyzing data and there are some key trends you can expect to see as a result of this evolution. There are many more types of cameras being used today, such as body cameras, dashboard cameras, and new Internet of Things (IoT) devices and sensors. Video data is so rich nowadays, you can analyze it and deduce a lot of valuable information in real-time, instead of post-event. Edge computing and smart security As public cloud adoption grew, companies and organizations saw the platform as a centralized location for big data. However, recently there’s been opposition to that trend. Instead we are now seeing data processed at the edge, rather than in the cloud. There is one main reason for this change in preference: latency. Newer edge computing will play an important role in capturing, collecting, and analyzing data Latency is an important consideration when trying to carry out real-time pattern recognition. It’s very difficult for cameras to process data – 4K surveillance video recorded 24/7 – if it has to go back to a centralized data center hundreds of miles away. This data analysis needs to happen quickly in order to be timely and applicable to dynamic situations, such as public safety. By storing relevant data at the edge, AI inferencing can happen much faster. Doing so can lead to safer communities, more effective operations, and smarter infrastructure. UHD and storage AI-enabled applications and capabilities, such as pattern recognition, depend on high-definition resolutions such as 4K – also known as Ultra High Definition (UHD). This detailed data has a major impact on storage – both the capacity and speeds at which it needs to be written, and the network. Compared to HD, 4K video has much higher storage requirements and we even have 8K on the horizon. As we know, 4K video has four times the number of pixels as HD video. In addition, 4K compliant video supports 8, 10, and 12 bits per channel that translate to 24-, 30- or 36-bit color depth per pixel. A similar pattern holds for HD — more color using 24 bits or less color using 10 or 12 bits in color depth per pixel. Altogether, there is up to a 5.7x increase in bits generated by 4K vs. 1080 pixel video. Larger video files place new demands on data infrastructure for both video production and surveillance. Which means investing in data infrastructure becomes a key consideration when looking into smart security. Always-on connectivity Whether designing solutions that have limited connectivity or ultra-fast 5G capabilities, most smart security solutions need to operate 24/7, regardless of their environment. Yet, on occasion, the underlying hardware and software systems fail. In the event of this, it is important to establish a failover process to ensure continued operation or restore data after a failure, including everything from traffic control to sensors to camera feeds and more. Consider the example of a hospital with dozens or even over a hundred cameras connected to a centralized recorder via IP. If the Ethernet goes down, no video can be captured. Such an event could pose a serious threat to the safety and security of hospital patients and staff. For this reason, microSD cards are used in cameras to enable continuous recording. Software tools – powered by AI – can then “patch” missing data streams with the content captured on the card to ensure the video stream can be viewed chronologically with no content gaps. Thermal imaging Health and safety is the number one priority for all organizations as people return to work and public spaces. Some organizations are deploying thermal imaging to help screen individuals for symptoms as they return. Organizations that operate with warehouses, depots and assembly lines will traditionally have large amounts of cameras located outside of the entrance. With thermal imaging smart video in place, these cameras can now serve a dual purpose as a screening device. The thermal imaging technology is capable of detecting elevated body temperatures, with 10-25 workers being scanned in one shot, from one camera – making it an efficient and accurate process. This way, staff can use the information to help identify people who may need further screening, testing, and/or isolation before returning to work. There are many more types of cameras being used today, such as body cameras, dashboard cameras, and new Internet of Things (IoT) devices While this may not increase data storage requirements, it can change your retention policies and practices. Smart security today is about utilising AI and edge computing, to deliver an always-on, high-resolution video provision that can help keep people safe 24/7. These trends increase the demands and importance of monitoring, which means requirements of the supporting data infrastructure improve to match that, including the ability to proactively manage the infrastructure to help ensure reliable operation. Companies need to make sure they have considered all the storage and policy challenges as part of their smart security strategy for the future.  

The New Marriage Between AI and Stadiums
The New Marriage Between AI and Stadiums

Stadiums around the world are still paralyzed from the effects of COVID-19. Fans and spectators in masses have been absent from stadiums since April and there doesn’t seem to be a concrete plan on how or when they’ll be able to return to near capacity. The NBA recently opted to form a bubble philosophy concept in Disney’s facilities, although it’s been a relative success, it’s also been a $200 million temporary solution. This then begs the question: How long can stadiums survive like this without spectator’s present? History tells us that stadiums, venues and sport recover from disasters, so what can stadiums do to speed up the process? This is the catalyst for AI to be integrated on mass level to stadiums around the world. AI is the answer AI’s role in getting fans and spectators back is huge, through capabilities such as: Social Distance Monitoring Crowd Scanning/Metrics Facial Recognition Fever Detection Track & Trace Providing Behavioural Analytics Technologies such as IREX.ai is now working alongside National Leagues, Franchises and Governing Bodies to implement AI surveillance software into their CCTV/surveillance cameras. This is now creating a more collaborative effort from the operations team in stadiums, rather than purely security. Stadiums around the world are still paralyzed from the effects of COVID-19 AI surveillance software such as IREX.ai when implemented into the surveillance cameras can be accessed by designated users on any device and on any browser platform. Crowd metrics Arming stadiums with AI-powered surveillance tools can detect crowd metrics such as “people counting” and “group statistics”. This ensures stadium personnel can monitor social distancing with precision, accuracy and immediately. Alerts can be set up throughout parts of the stadium to alert senior staff members when overcrowding can appear with real time videos, analytics and photos to their hand-held device, such as a smartphone. Fever detection Thermal cameras have been implemented throughout facilities including stadiums and are helping assist to spot people with elevated temperatures. What IREX.ai implements is an alert system, coupled with facial recognition of any individual(s) that read an elevated body temperature. This alert system then provides security and health officials with a photo of the individual with the elevated body temperature, meaning staff can react quicker to the situation prevent this individual from entry. Pandemic monitoring by facial recognition  Thermal cameras have been implemented throughout facilities including stadiums and are helping assist to spot people with elevated temperatures Through facial recognition, staff members will be able to locate individuals through simply uploading a photo. It has never been easier to find a person of interest. With masks becoming an everyday part of society, facial recognition has come under scrutiny regarding the accuracy when a mask is worn. Irex.ai still maintains a 96% accuracy with individuals wearing masks and can set up alerts for any individuals not wearing a mask. Another important aspect of facial recognition is finding persons of interest quickly through technology like IREX.ai’s “searchveillance”. The future is here. Designated staff can track a person from when they enter the stadium by simply uploading their photograph. An example of how this can assist stadium personnel is to help relocate lost children inside the stadium with their guardians/parents when they are separated. Another attribute would be any individuals banned from entering the stadium would trigger alerts once they appear under surveillance, a fantastic collaborative tool to use with Law Enforcement.    Return on investment With security solutions, one of the biggest issues with any security investment is a lack of an ROI. This is where AI security is breaking the mould. The ability to provide business analytics, consumer/fan behaviours, traffic patterns, etc, allows other departments within the organization to gain vital information that can assist with their strategies and practices. Stadium security will never be the same in a post-COVID world, so why will its practices stay the same? AI & Stadiums is no longer the future, it’s the 2020 solution.

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