Implementation of Automatic Face Detection System Based on ARM
Keng Li, He Chen · 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP) · 2019
The embedded automatic face detection system is to locate the face region in the real scene. In order to reach a real-time performance, We adopt a cascaded structure of the convolution neural network model to solve face detection problem. In hardware implementation, the ARM Cortex-A9 processor is used to achieve the algorithm. And the Neon unit in ARM is used to achieve the parallel operation of the basic data of the algorithm, so the detection algorithm is accelerated to achieve the real-time operation of the automatic face detection system.