Enhancing Bike Safety with Ultrasonic Dog Repellent

Nighttime cyclists often face the risk of being chased by street dogs, which can lead to accidents, injuries, and distress. This study, Enhancing Bike Safety with Ultrasonic Dog Repellent, presents an innovative and novel solution to this problem by integrating real-time dog detection with an ultrasonic deterrent mechanism. The system leverages OpenCV-based computer vision to identify dogs, even in lowlight conditions, and triggers an ultrasonic speaker to emit highfrequency sound waves that effectively deter dogs without causing harm. At the core of the system is an Arduino Uno microcontroller, which controls the ultrasonic speaker while displaying real-time detection status on a 16x2 LCD panel. A built-in light source enhances visibility and ensures reliable detection at night. The entire device is compact, lightweight, and easy to mount on a bicycle, making it ideal for everyday use. This study demonstrates the potential of IoT and AI technologies in addressing real-world safety concerns. It is designed to operate efficiently under various environmental conditions, minimizing false alarms while ensuring a rapid response. By providing cyclists with a secure, non-invasive, and effective deterrent against dog chases, this system enhances road safety and promotes a stress-free riding experience.