BrainChip, producer of neuromorphic AI IP and chips, and nViso, a human behavioral analytics AI company, announced a collaboration targeting battery-powered applications in robotics and mobility/automotive to address the need for high levels of AI performance with ultra-low power technologies.
The initial effort will include implementing NVISO’s AI solutions for Social Robots and In-cabin Monitoring Systems on BrainChip’s Akida processors. Developers of automotive and consumer technologies are striving for devices that better respond to human behavior—which requires tools and applications to interpret human behavior captured from cameras and sensors on devices. However, these environments can be constrained by limited compute performance, power consumption, and cloud connectivity lapses.
Akida addresses these weaknesses with high performance and ultra-low power (micro- to milliwatts) as well as by performing AI/ML processing of vision/image, motion, and sound data directly on devices, instead of in a remote cloud. Since information is not sent off-device, user privacy and security are also protected.
NVISO’s technology is able to analyze signals of human behavior such as facial expressions, emotions, identity, head poses, gaze, gestures, activities, and objects with which users interact. In robotics and in-vehicle applications, human behavior analytics detect the user’s emotional state to provide personalized, adaptive, interactive, safe devices and systems. The result of the collaboration between NVISO and BrainChip is expected to enable more advanced, more capable, and more accurate AI on consumer products.
BrainChip’s first-to-market neuromorphic processor, Akida, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Keeping AI/ML local to the chip, independent of the cloud, also dramatically reduces latency while improving privacy and data security.
