PotSafe is a pothole detection system that uses image processing techniques to automatically detect locate determine the severity of potholes on roads. The goal of this project is to develop an automated system that can detect potholes in real-time and alert authorities or maintenance crews to repair them, thereby improving road safety and reducing the cost of road maintenance.
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PotSafe is a pothole detection system that utilizes image processing techniques to automatically detect, locate, and determine the severity of potholes on roads. The system can be integrated into vehicles equipped with cameras, and can detect potholes in real-time as the vehicle travels.
The main goal of the PotSafe project is to develop an automated system that can detect potholes in real-time and alert authorities or maintenance crews to repair them. By detecting potholes early and alerting maintenance crews in a timely manner, the system aims to improve road safety and reduce the cost of road maintenance.
Overall, PotSafe is a valuable tool for improving road safety and reducing the cost of road maintenance. It is a complete solution for pothole detection, location and severity detection and repairs tracking. It can be integrated with other systems like a map-based app for citizens to report potholes, and a management portal for the road maintenance team to track the progress and repair history.
Input
Output
- Increasing Accuracy of Model by training on better dataset and more types of models like Faster-RCNNs.
- More accuracy and calculation feature along with MiDAS model for 3D-reconstruction .
PotSafe is under MIT License, Please Read the LICENSE
