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BriefCam Introduces Video Analytics Enabled on Deep Learning Cameras from Axis Communications

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BOSTON--(BUSINESS WIRE)--BriefCam, the industry's leading provider of Video Content Analytics and VIDEO SYNOPSIS solutions, today announced availability for BriefCam Video Content Analytics on Axis deep learning cameras in December 2021. Edge video processing on Axis deep learning cameras is a new hybrid deployment option for the BriefCam platform that reduces the total cost of ownership of a real-time video analytics deployment, enables operation in low-bandwidth environments, and makes for faster real-time alerting. Through the Axis Application Development Partner Program, BriefCam is one of the first to leverage the AXIS Camera Application Platform (ACAP) to enable comprehensive analytics directly on Axis Communications' deep learning camera series. BriefCam analytics are enabled on the Axis deep learning cameras AXIS P3255 and AXIS Q1615 Mk III, which feature a dual chipset of ARTPEC-7 and a deep-learning processing unit (DLPU), as well as the ARTPEC 8 camera series. By enabling BriefCam analytics on the edge, along with post processing and management capabilities, users experience up to six times faster real-time alerting, a 5-10x reduction in bandwidth, and up to 55% less real-time GPU processing servers for real-time processing.


The Interview: Ryan Fairclough, Briefcam

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JA: Would you agree that there are tens of millions of CCTV cameras around the world delivering practically no return on investment? RF: Certainly, I'm not sure you can go as far as to say they have no return on investment but certainly they aren't being utilised to their fullest. By complementing the initial surveillance system investment with comprehensive video analytics, you transform the massive amounts of video data that normally goes untouched, into valuable insights for safety, security and operational efficiency. JA: Is it fair to say that these cameras have considerable potential when it comes to automating searches, reporting events? The better we can extract and manage events and data from cameras the more we can start to have great effect on not only the traditional safety and security applications but also expand to operational decision making, customer experience and the overall optimization of a physical space.


Edge Computing for Deep Learning Camera and Video Content Analytics

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Leading video content analytics software provider BriefCam has announced its edge analytics-powered solutions would be available on Axis cameras with built-in deep learning processing units. This would enable users to scale video content analytics to new architectures. Currently, BriefCam's edge analytics initiative complements its portfolio of on-premise and cloud solutions, by enabling greater freedom of choice for flexible deployment architectures through edge-based computing. At the time of this announcement, Gili Rom, VP Strategic Initiatives, BriefCam said, "The breadth and depth of BriefCam's portfolio of video analytics solutions deliver actionable intelligence for safety, security and greater business insights with freedom of choice for on-premises, cloud and now edge deployment architectures through its deep partnership with Axis Communications. Having BriefCam edge analytics enabled on the Axis Q1615 MK III, as the first Deep Learning Camera, greatly accelerates the respective companies' value to the customer."


BriefCam Takes Innovation to the Edge with Analytics for AXIS Deep Learning Camera Series -- Security Today

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BriefCam today announced future availability for BriefCam Video Content Analytics on Axis cameras with built-in deep learning processing units. BriefCam's edge analytics initiative complements its portfolio of on-premise and cloud solutions, by enabling greater freedom of choice for flexible deployment architectures through edge-based computing. Through the Axis Application Development Partner Program, BriefCam is one of the first to leverage the AXIS Camera Application Platform (ACAP) to enable comprehensive analytics directly on Axis Communications' upgraded camera series. The first camera to support BriefCam video content analytics is the AXIS Q1615 Mk III featuring a dual chipset, ARTPEC-7, and a deep-learning processing unit (DLPU), for video processing and metadata generation at the edge. By enabling BriefCam analytics on the edge, along with post processing and management capabilities, users experience real-time processing, with reduced costs and complexity, as well as reduced storage and bandwidth requirements. "Axis is proud to forge a deeper technology partnership with BriefCam toward our shared vision for advancing best-in-class video surveillance technologies," said Mats Thulin, director of core technology, Axis Communications AB. "Comprehensive video analytics is a key component to further optimizing surveillance camera investments and enabling new and expanded use cases for video – by deploying analytics at the edge, users have greater flexibility in how they implement and use video analytics."


Can Artificial Intelligence's facial-recognition techniques help end school shootings?

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Rapid advances and decreasing prices for facial-recognition artificial intelligence technology, fueled by an arms race of surveillance firms eager to dominate the educational market, have made systems that promise to end school shootings faster, cheaper and more available than ever. For schools with high-resolution digital cameras activating face recognition can be easy as installing new software. Trevor Matz, the chief executive of video system BriefCam, said there is increased interest in cutting-edge surveillance technology, including from schools. His company makes software that can recognize faces and filter video with search terms like "girl in pink" or "man with mustache," shrinking hours of footage into seconds. "Everybody we demo the product to immediately goes, 'Wow' and says, 'I want it.' There's not a lot of selling that needs to be done."


Facial-recognition companies target schools, promising an end to shootings

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The facial-recognition cameras installed near the bounce houses at the Warehouse, an after-school recreation center in Bloomington, Indiana, are aimed low enough to scan the face of every parent, teenager and toddler who walks in. The center's director, David Weil, learned earlier this year of the surveillance system from a church newsletter, and within six weeks he had bought his own, believing it promised a security breakthrough that was both affordable and cutting-edge. Since last month, the system has logged thousands of visitors' faces – alongside their names, phone numbers and other personal details – and checked them against a regularly updated blacklist of sex offenders and unwanted guests. The system's Israeli developer, Face-Six, also promotes it for use in prisons and drones. "Some parents still think it's kind of '1984,' " said Weil, whose 21-month-old granddaughter is among the scanned.


IndigoVision's Artificial Intelligence expanding to include latest security features

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IndigoVision has announced that the next release of their Artificial Intelligence powered by BriefCam will include the latest security features in the industry, and will be launched within the coming weeks, additional to it being previewed at ISC West 2018 in Las Vegas. IndigoVision's Artificial Intelligence powered by BriefCam allows IndigoVision customers to quickly and easily review hours of footage in minutes, rapidly identifying people and objects of interest by object type, attribute, direction, color or size. The recently announced BriefCam v5 introduces new capabilities across all three of the platform's seamlessly integrated modules, delivering a powerful approach to making video searchable, actionable and quantifiable. The new version enables customers to rapidly realize both the security and business value their surveillance system can provide by innovatively harnessing the process-once-use-many paradigm throughout the platform. These new features and capabilities are directly aligned with IndigoVision's offering, providing customers with statistical analysis reports, business intelligence insights, as well as multi-camera search and facial recognition.


Israel, a land flowing with AI and autonomous cars

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I recently led a group of 20 American tech investors to Israel in conjunction with the UJA and Israel's Ministry of Economy and Industry. We witnessed firsthand the innovation that has produced more than $22 billion of investments and acquisitions within the past year. We met with the University that produced Mobileye, with the investor that believed in its founder, and the network of every multinational company supporting the startup ecosystem. Mechatronics is blooming in the desert from the CyberTech Convention in Tel Aviv to the robotic labs at Capsula to the latest in autonomous driving inventions in the hills of Jerusalem. Sitting in a suspended conference room that floats three stories above the ground enclosed within the "greenest building in the Middle East," I had the good fortune to meet Torr Polakow of Curiosity Lab.


Israel, A Land Flowing With AI and Autonomous Cars - AlleyWatch

#artificialintelligence

This past week I led a group of 20 American tech investors to Israel in conjunction with the UJA and Israel's Ministry of Economy and Industry. We witnessed firsthand the innovation that has produced more than $22 billion of investments and acquisitions within the past year. We met with the University that produced Mobileye, with the investor that believed in its founder, and the network of every multinational company supporting the startup ecosystem. Mechatronics is blooming in the desert from the CyberTech Convention in Tel Aviv to the robotic labs at Capsula to the latest in autonomous driving inventions in the hills of Jerusalem. Sitting in a suspended conference room that floats three stories above the ground enclosed within the "greenest building in the Middle East," I had the good fortune to meet Torr Polakow of Curiosity Lab.


Artificial Intelligence to The Rescue of the Police to Stop the Crime

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The US state police in Delaware is preparing to deploy "smart" cameras in its vehicles to help its officers detect a vehicle carrying a fugitive, a missing child or a disoriented senior. David Hinojosa of Coban Technologies, the company providing the equipment, explained that the video streams will be analyzed using artificial intelligence to identify vehicles by license plate or other features to "give eyes additional "to patrol agents. "We are helping agents stay focused on their work," said Hinojosa, who calls the new technology a "steroid-embedded camera." Nowadays, more and more companies are offering computer-aided vision technologies. We can mention the Israeli start-up Briefcam, which uses artificial intelligence to interpret video surveillance sequences.