Real-time Face Detection Neural Network Video

Liran Bar, Director of Product Marketing at CEVA, demonstrates the company’s latest embedded vision technologies and products at the January 2018 Consumer Electronics Show. Specifically, Bar demonstrates Brodman17’s real-time face detection and tracking neural network running on a FPGA-based CEVA-XM4 vision processor at 60 MHz. A production ASIC-based implementation will run above 800 MHz. The neural network porting work to the CEVA-XM4 was performed by Brodman17’s engineers, leveraging CEVA’s award winning CDNN SW framework, and was completed in a very short time.