Safe Driving System Based-on STM32

EasyChair Preprint 1990

Abstract

Abstract: 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 re-processe and recognize the face 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.

Keyphrases: HC-SR04, MQ-3, Raspberry Pi, STM32, anti-collision, anti-drunk driving, anti-fatigue driving

@booklet{EasyChair:1990,
  author    = {Chen Tong and Shuqun Wang},
  title     = {Safe Driving System Based-on STM32},
  howpublished = {EasyChair Preprint 1990},
  year      = {EasyChair, 2019}}