PROTOTYPE OF VEHICLES POTHOLES DETECTION BASED BLOB DETECTION METHOD

Potholes on road causes majority of traffic incidents. It happens with driver’s unawareness to potholes on the road, while potholes location data mining is still performed manually by technician nowadays. This issues drives these following research and prototyping to be performed. This paper presents a prototype of a pothole detection system using image processing. The system will detect the potholes by assuming potholes as a blob, using blob detection. Live feed from a camera module will be processed by the algorithm that is embedded to a microcontroller simultaneously to determine the potholes. Every detected potholes and its location will be recorded and displayed on a webpage. The prototype will be an embedded system Linuxbased running on a Raspberry Pi, featured with camera and a computer program utilizing OpenCV. Several blob parameter such as shape, including circularity, convexity, and inertia value is utilized to optimize the pothole detection. The prototype is tested on actual road with different pothole shapes and size, and the result has 82.5% accuracy.

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