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电脑与电信  2024, Vol. 1 Issue (6): 1-    DOI: 10.15966/j.cnki.dnydx.2024.06.004
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基于EAR算法的司机疲劳驾驶检测系统

宿迁学院信息工程学院

Driver Fatigue Driving Detection System Based on EAR Algorithm
Suqian University
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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. 
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关键词 EAR算法疲劳检测STM32单片机    
Key wordsEAR?algorithm    Fatigue?detection    STM32 microcontroller 
年卷期日期: 2024-06-10      出版日期: 2024-10-14
引用本文:   
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-.
XU Jin-qun XIE Ye-nan ZHOU Ying GU Xiu-xiu. Driver Fatigue Driving Detection System Based on EAR Algorithm. Computer & Telecommunication, 2024, 1(6): 1-.
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https://www.computertelecom.com.cn/CN/10.15966/j.cnki.dnydx.2024.06.004  或          https://www.computertelecom.com.cn/CN/Y2024/V1/I6/1
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