A Smart App for Pothole Detection Using Yolo Model

Abstract

Pothole is the structural failure on the road, which causes accidents. In India, due to an increase in transportation, the number of mishaps because of potholes has additionally expanded. In this way, for diminishing the loss of human life because of potholes a few techniques has been conceived to identify the potholes utilizing sensors. These techniques are exorbitant and inefficient. So we have structured a savvy approach which utilizes cell phones with camera and GPS sensors. Here, we are using “YOLO object detection” algorithm to detect potholes. The application detects the location of a pothole. The users can upload images of potholes in their area. After uploading, the YOLO algorithm validates the given image. Then, the location of the pothole is displayed on the map. Civic authority in that area can repair the potholes. So in this strategy, we are executing the tech-savvy and sustainable answer for pothole identification, and this technique can successfully identify street road conditions utilizing the cell phone.