Face Mask Detection system based on computer vision and deep learning approach. It uses a visible stream from the camera combined with AI techniques to detect vulnerabilities.
MosChip developed software for Lattice which identifies vehicles and classifies them as heavy, light, and two-wheel. The inferencing is done using Convolutional Neural Networks implemented in the Embedded Vision Development Kit’s ECP5 FPGA. Power consumption is less than 1W.
Know how we have helped our client get more safety rating for their latest auctomobiles launched!