STM32型
酒后驾驶
碰撞
汽车工程
障碍物
计算机科学
过程(计算)
卡车
模拟
前线(军事)
人气
计算机安全
实时计算
工程类
毒物控制
伤害预防
电信
医学
医疗急救
操作系统
炸薯条
法学
机械工程
社会心理学
政治学
心理学
出处
期刊:2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)
日期:2020-05-05
被引量:6
标识
DOI:10.1109/itnec48623.2020.9085009
摘要
With the increasing popularity of private cars, the incidence of traffic accidents has increased year by year. Among them, drunk driving and fatigue driving account for a large part of the reason. Aiming at this situation, the safe driving system offers a practical and effective solution. The system consists of three modules: anti-collision, anti-drunk driving and anti-fatigue driving: STM32 is used as the core to expand outward. The HC-SR04 ultrasonic range finder is used to detect the distance from the front obstacle. The side-heated semiconductor alcohol gas sensor MQ-3 is used to detect the alcohol concentration in the air. Collect and process the facial information with the Raspberry Pi, and issue a prompt when the driving time reaches the upper limit for continuous driving. As a result, this system achieves the three major functions: anti-collision, anti-drunk driving and anti-fatigue driving. The safe driving system puts prevention first, which can reduce the incidence of traffic accidents effectively.
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