Paper Key : IRJ************218
Author: Om Vilas Jadhav ,Rohit Shankar Koli,Palak Paras Kothari ,Amit Kamlakar Waghmare
Date Published: 15 Nov 2024
Abstract
Motorcycle safety is significantly impacted by limited visibility and blind spots, heightening accident risks for riders. This project introduces a Motorcycle Blind Spot Detection System that combines ultrasonic and radar sensors to enhance rider awareness and safety. The system continuously monitors blind spots around the motorcycle, alerting riders to nearby vehicles or obstacles through integrated visual, audible, and haptic feedback mechanisms. A microcontroller processes sensor data to identify potential threats in real-time, with sensor fusion techniques improving detection accuracy and minimizing false positives and negatives. The system employs a dual sensor approach, using ultrasonic sensors for short-range accuracy and radar sensors for reliable detection at greater distances, ensuring comprehensive coverage in all weather conditions. Its customizable design allows adjustments for diverse motorcycle models and riding conditions, ensuring adaptable functionality across various settings. The system undergoes rigorous testing and calibration in both controlled environments and real-world traffic, with iterative refinements to deliver consistent and reliable performance, thereby supporting enhanced situational awareness and safer riding.
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