Severity Prediction System for Real Time Pothole Detection

Authors

Sumit Bhimte, Hrishikesh hasabnis, Rohit Shirsath,Saurabh Sonar,
B.E (Computer Engineering), Pimpri Chinchwad College Of Engineering And Research, Ravet, Pune, Maharashtra, India.

Mahendra Salunke, Asst. Professor
Department of Computer Engineering, Pimpri Chinchwad College Of Engineering And Research, Ravet, Pune, Maharashtra, India.

Abstract

Pothole Detection System using Image Processing or using Accelerometer is not a new normal. But there is no real time application which utilizes both techniques to provide us with efficient solution. We present a system which can be useful for the drivers to determine the intensity of Pothole using both Image Processing Technology and Accelerometer device-based Algorithm. The challenge in building this system was to efficiently detect a Pothole present in roads, to analyze the severity of Pothole and to provide users with information like Road Quality and best possible route. We have used various algorithms for frequency-based pothole detection. We compared the results. Apart from that, we selected the best approach suitable for achieving the project goals. We have used a Simple Differentiation-based Edge Detection Algorithm for Image Processing. The system has been built on Map Interfaces for Android devices using Android Studio, which consists of usage of Image Processing Algorithm based Python frameworks which is a sub field of Machine Learning. It is backed by powerful DBMS. This project facilitates use of most efficient technology tools to provide a good user experience, real time application, reliability and improved efficiency.