TY - GEN
T1 - A Real-Time Face Recognition System by Efficient Hardware-Software Co-Design on FPGA SoCs
AU - Wang, Hao
AU - Cao, Shan
AU - Xu, Shugong
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/6
Y1 - 2021/6/6
N2 - With the development of deep learning, the accuracy of face recognition has been significantly improved. Current face recognition systems are mostly designed for CPU or GPU platforms, and faces significant latency and power constraints when migrated to embedded devices. In this live demonstration, a real-Time face recognition system based on FPGA System-on-Chip (SoC) platforms is presented. To achieve real-Time processing, the face recognition algorithm based on convolutional neural network is optimized first to a hardware-friendly network model and is accelerated on FPGA, while the face detection and face alignment are implemented on ARM. The latency of the entire system is 52 ms, and the face recognition accuracy on the LWF data set reaches 99.05%.
AB - With the development of deep learning, the accuracy of face recognition has been significantly improved. Current face recognition systems are mostly designed for CPU or GPU platforms, and faces significant latency and power constraints when migrated to embedded devices. In this live demonstration, a real-Time face recognition system based on FPGA System-on-Chip (SoC) platforms is presented. To achieve real-Time processing, the face recognition algorithm based on convolutional neural network is optimized first to a hardware-friendly network model and is accelerated on FPGA, while the face detection and face alignment are implemented on ARM. The latency of the entire system is 52 ms, and the face recognition accuracy on the LWF data set reaches 99.05%.
UR - http://www.scopus.com/inward/record.url?scp=85113296047&partnerID=8YFLogxK
U2 - 10.1109/AICAS51828.2021.9458462
DO - 10.1109/AICAS51828.2021.9458462
M3 - Conference Proceeding
AN - SCOPUS:85113296047
T3 - 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems, AICAS 2021
BT - 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems, AICAS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2021
Y2 - 6 June 2021 through 9 June 2021
ER -