“Facial recognition in a moving crowd requires highly advanced techniques when compared to still images because these cameras are affected by many factors: camera location, image quality and lighting, along with the subject’s size, walking speed and face direction,” said Tadashige Kadoi, general manager of IoT Platform Development Division at NEC Corporation. “Intel FPGAs and their parallel processing capability help NEC to enable fast and accurate collection and processing of images from even 4K high-resolution remote cameras.”
To create the NeoFace Accelerator, NEC’s NeoFace facial recognition engine software IP is integrated into an Intel Arria 10 FPGA, keeping the same accuracy level while achieving higher performance in facial recognition than the previous solution.
Intel teams also worked with NEC to enhance the performance of NeoFace data center server technology. NEC NeoFace Accelerator includes not only the Intel Arria 10 FPGA, but also an Intel® MAX® 10 low-cost FPGA and Intel® Enpirion® power devices.
Intel technology configuration used by NEC:
- NEC-branded card with FPGA, and Intel Enpirion power
- Intel® Xeon® processor Xeon E5-2697v4
- Intel® Arria® 10 FPGA (for the face detection engine)
- Intel® MAX® 10 FPGA (for configuration, field upgrade, power monitor/control)
- Intel® Enpirion® EM2130 (to power Arria 10 core)
- Intel® Enpirion® EN2342 (to power the IO and transceivers)