Congnivue Image Cognition Processor Targets Low Power Devices

PRWeb: CogniVue announced the ability of its Image Cognition Processor (ICP) to support always-on vision applications like gesture recognition, face and eye detection in low power smart wearable devices at power levels of ~1mA, enabling vision apps to run for many days as opposed to hours. CogniVue’s APEXTM ICP are said to be better than 100x performance per power vs conventional processing architectures for embedded vision applications. That significant performance per power advantage is paying off in the rapidly accelerating market of smart wearable devices. This advantage will grow as next-generation APEX cores are announced by CogniVue later in 2014.

One of Cognivue customers, NeoLAB Convergence went to production with the Neo 1 smart pen, said to be the smallest and longest lasting smart pen in the market. The pen uses CogniVue 1st generation APEX-based technology and an image sensor both operating at 120fps to render hand writing and hand drawings in real time to a smart phone or tablet or server wirelessly with no perceived delay. It does this at very low power levels, enabling this battery-powered device to last for weeks on a charge. NeoLAB engineers dramatically increased battery life compared to the competition and they were able to go from design start to prototype in as a little as 6 months using CogniVue’s comprehensive software development kit.

A Vimeo video presents the company positioning and technology:

Congnivue Image Cognition Processor Targets Low Power Devices
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