BrainChip and CVEDIA to advance Edge AI and Neuromorphic computing

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BrainChip and CVEDIA, a provider of AI-based video analytics solutions, have entered into a partnership to further develop Edge AI and neuromorphic computing.

The partnership will focus on the integration of the CVEDIA-RT platform for video analytics running on BrainChip’s Akida neuromorphic IP. The CVEDIA-RT platform has been developed to enable rapid creation and development for video analytics for security and surveillance, transportation, ITS, and retail applications.

By combining the two technologies, the companies will be able to create and train AI models that are optimised for event-based processing and inference at the edge without relying on cloud connectivity or high-power consumption and, in the process, addressing some of the most challenging problems in edge AI, such as perception, cognition, security and privacy.

“We’re keen to partner with BrainChip to bring the benefits of CVEDIA-RT’s analytics to Akida enabled Edge AI devices enabling developers to scale much faster without needing the cloud,” said Arjan Wijnveen, CEO of CVEDIA. “Analysing and tuning the complete solution at the edge, on the target platform that optimises the applications and accelerates time to market, propels value added devices and services in AIoT.”

“From object detection to analytics to inference, CVEDIA-RT is a powerful application that simplifies deploying vision AI on hardware,” added Rob Telson, BrainChip Vice President of Ecosystem and Partnerships. “With CVEDIA, we progress on our mission to expand the deployment of AI solutions by enabling developers to rapidly and cost-effectively build and tune to new use cases.”