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- W3209402188 abstract "Roads are the main mode for transportation, nowadays. As we use roads heavily and frequently, it sometimes leads to potholes. Environmental factors also lead to potholes in several ways. These potholes are main reason for many accidents. A scheduled and proper maintenance is required where we need to monitor each and every road. The maintenance of all the roads at a time is not possible because it is not easy to monitor every single place. Moreover, it is due to people’s ignorance to check which causes the formation of potholes that causes unnecessary traffic and many of accidents. To monitor all the roads, this project for pothole detection using image processing techniques is implemented. To test the performance of the proposed system is going to be implemented in a Linux environment using Open CV library. Techniques of image processing detect the potholes on roads and save the data of pothole for road maintenance department. This helps in keeping manual labor to the minimum number. Canny edge detecting technique and along with the contour detecting technique are techniques of image processing which we use in the proposed system. Hough transformation technique in the end gives effective output of potholes, very accurately." @default.
- W3209402188 created "2021-11-08" @default.
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- W3209402188 date "2021-01-01" @default.
- W3209402188 modified "2023-09-24" @default.
- W3209402188 title "Detecting Potholes Using Image Processing Techniques and Real-World Footage" @default.
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- W3209402188 doi "https://doi.org/10.1007/978-981-16-1056-1_72" @default.
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