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.
EMASS led the ECS-DoT’s architecture design and set ambitious targets for performance and energy efficiency, aiming for up to 93% faster processing and 90% lower energy use compared to conventional edge AI solutions.
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