Custom built for a Municipal Corporation

Pothole Detection and Ticketing
System

A computer vision platform that spots road potholes from images and video, then raises a maintenance ticket automatically, so repair teams know exactly where to go.

Client
A Municipal Corporation
Industry
GovTech · smart cities
Engagement
Custom development
Ownership
Delivered to client

Manual road inspections could not keep up with the network

The corporation's maintenance teams were relying on manual inspection rounds to find road potholes, which meant problems could sit unreported for a long time. They needed an AI development company that could train a model accurate enough for real road conditions, not a generic off the shelf detector.

A computer vision pipeline that detects and tickets potholes in real time

Pothole Detection

AI detects potholes automatically from both images and video streams

Proprietary Model

A model trained in house specifically for real road conditions

Bounding Box Visuals

Detected potholes are shown live with bounding boxes on screen

Unique Tracking IDs

Every pothole gets a unique identifier for full traceability

Automated Ticketing

A geo tagged repair ticket is raised automatically as soon as a pothole is found

Historical Records

Geo tagged locations and history are kept for ongoing maintenance and analysis

PyTorch YOLO OpenCV Computer Vision Geo location services

"The system reduced the corporation's dependence on manual road inspections, sped up response times for maintenance teams, and gave them clear accountability through unique IDs and geo tagged locations."