Open AccessDetection and Implementation of Driver’s Seatbelt Based on FPGA
Author(s) -
Tianshu Wu,
Zhijia Zhang,
Zhanning Liu,
Yunpeng Liu,
Shixian Wang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1229/1/012075
Subject(s) - field programmable gate array , computer science , embedded system , computer hardware , acceleration , hardware acceleration , object detection , artificial intelligence , pattern recognition (psychology) , physics , classical mechanics
In this paper, the driver’s seatbelt detection algorithm is transplanted to the PYNQ embedded platform of XILINX to meet the technical requirements of automatic identification and detection of whether the driver wears a seatbelt or not. In this paper, aiming at the characteristics of the hardware of the FPGA, the driver’s seatbelt detection algorithm is realized by IP core from XILINX open source. Vehicle detection is realized by using YOLO object detection algorithm with 3 bit weight and 1 bit activation, and driver’s seatbelt classification is realized by using binary model with 1 bit weight and 1 bit activation. On the PYNQ embedded hardware of XILINX, the acceleration of the algorithm is realized by calling the hardware of FPGA on the ARM side.