Enabling Low Power Computer Vision on Edge Devices
On Device Neural Networks
Most currently available CV enabled IoT devices such as smart cameras, capture images after a trigger (such as motion sensing) and ship them to the cloud for further processing. This approach can lead to higher power, latency and privacy concerns as compared to processing the images on the edge device. Our solutions allow data extraction using Neural Networks on the edge device to preserve privacy, reduce latency, power and bandwidth.
We focus on building real world audio and video solutions for targeted use cases with in-house developed compact AI models.