Goto

Collaborating Authors

 axis communication


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

#artificialintelligence

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.


Edge Computing for Deep Learning Camera and Video Content Analytics

#artificialintelligence

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

#artificialintelligence

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."