Abstract: Motorcycle riders face heightened risks due to limited visibility and lack of structural protection, with blind spot detection being a critical safety challenge. This project presents a Motorcycle Blind Spot Detection System that utilizes both ultrasonic and radar sensors to enhance rider awareness and reduce accidents. Ultrasonic sensors provide precise short-range detection, while radar sensors ensure reliable tracking of moving objects in wider ranges and varying weather conditions. Data from both sensors is processed by a microcontroller to identify potential threats in blind spot zones. Upon detection, the system activates visual alerts via LED indicators, with provisions for future integration of auditory and haptic feedback. The dual-sensor fusion approach increases detection accuracy and minimizes false positives, offering a cost-effective, scalable, and real-time solution to improve motorcycle safety.
Keywords: Motorcycle safety, Blind spot detection, Sensor fusion, Real-time alert system, Rider awareness, Collision prevention.
|
DOI:
10.17148/IJARCCE.2025.14602
