Nvidia adds SAFR facial recognition to smart city partner program
The SAFR live video artificial intelligence and biometric facial recognition platform has been added to the Nvidia Metropolis Software Partner Program to ease deployment of facial biometrics and other visual intelligence capabilities in smart city systems.
The distribution deal addresses a gap in the market for a U.S.-based computer vision technology effective in variable lighting conditions, with different angles of view, and high population density, according to the announcement by RealNetworks. Two U.S. Senators called for the government to put a travel warning on countries using Chinese smart city systems earlier this year. Partnering with U.S. companies could also be a priority for Nvidia, which pundits have speculated could be adversely affected by the recent Entity List announcement.
RealNetworks says making SAFR available to Nvidia’s Metropolis program system integrator and enterprise customers gives them a highly optimized, scalable and extensible live video solution.
The Nvidia Metropolis program is an Internet of Things (IoT) platform for intelligent video analytics spanning the company’s products from edge to cloud. It is intended to enable deep learning for video streams for applications such as public safety and retail loss prevention. Other companies participating in the program include AnyVision, Nodeflux and VisionLabs.
“This partnership makes it simpler than ever for our customers to access SAFR for smart cities, public safety, and retail use cases,” states RealNetworks Vice President and General Manager of Computer Vision Dan Grimm. “Our work with NVIDIA, the leader in accelerated computing, will expand SAFR’s reach, enabling more cities — and their airports, transit systems, and retail stores — to benefit from an industry-proven platform and discover how visual intelligence can make the spaces we trust safer, smarter, and more convenient.”
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Article Topics
artificial intelligence | biometrics at the edge | edge computing | facial recognition | IoT | Nvidia | RealNetworks | SAFR | smart cities | video analytics
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