摘要
In order to e?ectively reduce the incidence of tra?c accidents caused by drivers' fatigue driving, this paper
designs a driver fatigue driving detection system based on EAR algorithm. The system consists of two parts: hardware and
software. The hardware part includes STM32 microcontroller, OLED12864 LCD module, DS18B20 temperature sensor
module, photoelectric speed sensor module, CN-TTS voice broadcast module, ESP8266 data storage and transmission
module and K210 face recognition module. In the software part, EAR detection algorithm is used to detect fatigue.
Through the dual monitoring of the single chip microcomputer and the APP running on the mobile phone, the system can
monitor the status of the driver in real time, and alert driver when fatigue characteristics is present, so as to e?ectively
avoid the safety risks brought by fatigue driving. After testing, the comprehensive accuracy rate of the system reaches
92.4%, which can e?ectively remind drivers to avoid fatigue driving.
关键词
EAR算法 /
疲劳检测 /
STM32单片机
Key words
EAR?algorithm /
Fatigue?detection /
STM32 microcontroller
徐锦群 谢烨楠 周颖 顾秀秀.
基于EAR算法的司机疲劳驾驶检测系统[J]. 电脑与电信. 2024, 1(6): 1 https://doi.org/10.15966/j.cnki.dnydx.2024.06.004
XU Jin-qun XIE Ye-nan ZHOU Ying GU Xiu-xiu.
Driver Fatigue Driving Detection System Based on EAR Algorithm[J]. Computer & Telecommunication. 2024, 1(6): 1 https://doi.org/10.15966/j.cnki.dnydx.2024.06.004
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