Car Door Exit Warning System Using Raspberry Pi and Arduino

Authors

  • Prathamesh Bikaji Patil
  • Apurv Dattatray Mahajan
  • Harshvardhan Mansing Patil

Keywords:

Arduino, Cameras, Raspberry Pi, Smart car, Traffic

Abstract

The Smart Car Door Exit Warning System, featuring cameras for added safety, is a state-of-the-art solution designed to make getting out of a vehicle safer and more secure. By utilizing cameras positioned around the car, this system can detect potential hazards and provide warnings to the occupants and pedestrians, significantly reducing the risk of accidents caused by opening car doors. In this innovative system, strategically placed cameras continuously capture the surroundings of the vehicle, such as nearby traffic, pedestrians, and obstacles. Using advanced image analysis and artificial intelligence, the system can recognize and track objects and people close to the vehicle. When the system identifies a possible danger while a door is being opened, it activates visual and auditory alerts inside the car, alerting both the driver and passengers to the potential risk. Furthermore, it can send these alerts to pedestrians and other road users, promoting greater safety awareness through external notifications. The Smart Car Door Exit Warning System with cameras surpasses conventional proximity sensors by providing more accurate and wider-ranging object recognition. It excels in situations where precise identification and situational awareness are crucial, making it particularly valuable in urban settings with complex traffic conditions and limited parking space. This system represents a significant advancement in reducing accidents related to car door openings, enhancing safety for both vehicle occupants and pedestrians. By employing advanced camera technology and artificial intelligence, it offers a more comprehensive and reliable approach to preventing door-related incidents, thus contributing to safer transportation in an increasingly crowded and urbanized world.

Published

2024-01-10

Issue

Section

Articles