Axis Deep Learning Cameras Gain BriefCam Video Content Analytics

Edge video processing on Axis deep learning cameras is a new hybrid deployment option for the BriefCam platform that is said to reduce the total cost of ownership of a real-time video analytics deployment and more.

BOSTON — BriefCam, a provider of video content analytics, announces 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, according to the company.

Through the Axis Application Development Partner Program, BriefCam is said to be 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.

“Axis is excited for the availability of BriefCam analytics on Axis deep learning cameras, a great step forward toward our shared vision for advancing best-in-class video surveillance technologies, with significant reduction in real-time processing costs for end users,” says Mats Thulin, director of core technology, Axis Communications. “The breadth of BriefCam’s video analytics together with powerful Axis deep clearing cameras, including the new, powerful Axis ARTPEC-8 DLPU enabled cameras, creates an even more scalable and cost-effective solution.”

By enabling BriefCam analytics on the edge, along with post processing and management capabilities, users are said to 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.

BriefCam says this enables greater flexibility and cost efficiency for large scale or distributed video analytics deployments.

“The ability to process BriefCam video analytics at the edge is a game changer for organizations striving to extract valuable data insights from video,” says Gili Rom, VP strategy and alliances, BriefCam. “Greater flexibility in deployment architectures and the introduction of a hybrid deployment model through BriefCam enabled on Axis deep learning cameras further extends advanced real time analytics for safety, security and operational efficiency — a technology partnership that has significant benefits for the end user.”

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