We have detected your current browser version is not the latest one. Xilinx.com uses the latest web technologies to bring you the best online experience possible. Please upgrade to a Xilinx.com supported browser:Chrome, Firefox, Internet Explorer 11, Safari. Thank you!

Showing results for 
Search instead for 
Did you mean: 

Megvii’s Face++ facial-recognition algorithm has drawn 300K developers. A Xilinx Zynq SoC is involved.

Xilinx Employee
Xilinx Employee
0 0 29.2K


According to Yin Qi, Megvii’s chief exec, his company is developing a “brain” for visual computing. Beijing-based Megvii develops some of the most advanced image-recognition and AI technology in the world. The company’s Face++ facial-recognition algorithms run on the cloud and in edge devices such as the MegEye-C3S security camera, which runs Face++ algorithms locally and can capture more than 100 facial images in each 1080P video frame at 30fps.



MegEye-C3S Security Camera.jpg 



MegEye-C3S Facial-Recognition Camera based on Megvii’s Face++ technology




In its early days, Megvii ran its algorithms on GPUs, but quickly discovered the high cost and power disadvantages of GPU acceleration. The company switched to the Xilinx Zynq SoC and is able to run deep convolution on the Zynq SoC’s programmable logic while quantitative analysis runs simultaneously on the Zynq SoC’s Arm Cortex-A9 processors. The heterogeneous processing resources of the Zynq SoC allow Megvii to optimize the performance of its recognition algorithms for lowest cost and minimum power consumption in edge equipment such as the MegEye-C3S camera.



MegEye-C3S Security Camera exploded diagram.jpg 


MegEye-C3S Facial-Recognition Camera exploded diagram showing Zynq SoC (on right)



Here’s a 5-minute video where Megvii’s Sam Xie, GM of Branding and Marketing, and Jesson Liu, Megvii’s hardware leader, explain how their company has been able to attract more than 300,000 developers to the Face++ platform and how the Xilinx Zynq SoC has aided the company in developing the most advanced recognition products in the cloud and on the edge: