Power-Efficient DL

Face Re-ID, our collaborative project with GreenWaves Technologies, focused on neural network inference for an ultra-low-power RISC-V platform capable of operating for two years on the same battery power. We’ve developed a comprehensive pipeline, encompassing training, quantization, and inference for a Face Re-ID scenario. Our people detection and tracking solution for a thermal camera, features a 700KB model that runs at 5 FPS on an edge device. This battery-powered innovation offers up to 3.5 years of operation from a single charge, demonstrating our commitment to efficiency and sustainability in cutting-edge AI solutions.