Developing Vehicles Blind Spot Sensors Using Arduino to Avoid Parking Accidents

Background: As the number of automobiles on the road has increased, parking-related events have become a significant 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: Methodology: The article comprises creating a car blind spot detection system using an Arduino Nano as the primary CPU. This system combines ultrasonic sensors for obstacle detection with infrared sensors for improved accuracy. The method uses threshold-based logic for object identification, significantly reducing false positives. Data from these sensors is transferred via a Bluetooth module, allowing for real-time monitoring. 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 significantly 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.