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.
Upcoming Webinar: Rethinking Functional Safety [FuSa] for Software-Defined Vehicles [SDVs]
Upcoming Webinar: Rethinking Functional Safety [FuSa] for Software-Defined Vehicles [SDVs]