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NVISO announces it has reached a key interoperability milestone with BrainChip Akida Neuromorphic IP
18th July, 2022
NVISO has successfully completed full interoperability of four of its AI Apps from its Human Behavioural AI catalogue to the BrainChip Akida neuromorphic processor achieving a blazingly fast average model throughput of more than 1000 FPS and average model storage of less than 140 KB..Lausanne, Switzerland – July 19th, 2022 – nViso SA (NVISO), the leading Human Behavioural Analytics AI company, is pleased to announce it has released an Evaluation Kit (EVK) for its Human Behavioural AI SDK running on the BrainChip Akida™ neuromorphic processing platform. NVISO will release commercially its Human Behaviour AI as both as an Evaluation Kit (EVK) and Software Development Kit (SDK) optimized for neuromorphic processors targeting innovators looking to adopt AI-driven human machine interfaces to detect human behaviour in real-time at the edge.

Both companies will jointly promote the EVK and SDK and a first evaluation with a semiconductor manufacturer in Japan has started. This deployment of NVISO’s Human Behavioural AI exploits the superior performance capabilities of BrainChip Akida neuromorphic processor IP with latencies under 10ms and model storage requirements under 1MB for a complete target solution. Targeting next generation of low-power SOC devices with embedded neuromorphic capabilities, target applications include Robotics, Automotive, Telecommunication, Infotainment, and Gaming.NVISO’s Neuro EVK will support performance evaluations within use case scenarios using a live camera feed and will soon be followed by an SDK for solution developers which will support a wide selection of NVISO’s existing range of real-time, deep learning-based AI Apps such as those used for face detection, gaze, head pose recognition, facial recognition, emotion recognition, object detection and body pose analysis. A 30-day PC-based evaluation of the EVK is available for order online. Companies interested in a full evaluation on BrainChip neuromorphic hardware should contact BrainChip.