期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：11
出版社：Journal of Theoretical and Applied
摘要：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 Linux-based 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.
关键词：Blob Detection; OpenCV; Potholes; Raspberry Pi
