Under Graduate Thesis Presentation On - POTHOLE, SPEED BREAKER, AND VEHICLE DETECTION USING YOLO V5

Potholes are not only a source of frustration to drivers but also negatively impact the economy due to damage to vehicles and costly road repairs. Regular and rapid pavement inspection and maintenance are key to preventing pothole formation and growth. To improve the efficiency of maintenance and reduce the cost thereof, this paper proposes a vehicle-based computer vision approach to identify and analyses potholes, vehicles, and speed-breaker using a car-mounted camera. The results will then be logged together with the GPS coordinates of the pothole or speed breaker for use by technical experts and maintenance agencies and to aid other drivers. Drivers will immediately get a warning notification to take immediate action if potholes or speed-breakers are detected in real-time.