Developing Vehicles Blind Spot Sensors Using Arduino to Avoid Parking Accidents

Abstract

Background: As the number of automobiles on the road has increased, parking-related events have become a major worry. Blind zones, or regions surrounding the car that are not visible to the driver, play a significant role in these incidents. Addressing these blind spots with technology may dramatically improve traffic safety. Objective: Using the Arduino microcontroller, this study attempts to create a low-cost, dependable blind spot monitoring system. Recognizing adjacent barriers aims to aid drivers in parking and lessen the probability of parking-related accidents. Methods: An acoustic rangefinder is installed in the vehicle's trunk or rear fender. The Arduino microcontroller processes the data collected by these sensors. The system uses visual and audio notifications to warn the driver of possible risks in the vehicle's blind areas. The system's design prioritizes cost-effectiveness and adaptation to current automobiles. Results: After extensive testing in multiple parking circumstances, the blind spot detection system displayed consistent and reliable identification and warning of adjacent impediments. It was clear that it could greatly improve traffic and parking safety. Conclusion: The suggested Arduino-based blind spot sensor system is cost-effective, customizable, and efficient for improving parking safety. Combined with current automotive technology, it promises improved driving safety and provides a platform for DIY enthusiasts to develop further.

Keywords

• blind spot sensor
• arduino
• parking safety
• ultrasonic sensor
• vehicle technology
• collision avoidance
• parking assistance
• microcontroller
• distance detection
• diy project.