Pavement Distress Detection Computer Vision Project

Here are a few use cases for this project:

1. Road Maintenance and Repair Prioritization: The Pavement Distress Detection model can be used by city planners and Municipal Corporation authorities to identify and prioritize which roads need immediate attention and repair, allocating resources more efficiently.

2. Monitoring Road Infrastructure Quality: Government agencies and transportation departments can use the model to track the quality of road infrastructure over time, enabling them to make informed decisions on future repairs and improvements.

3. Traffic Management and Vehicle Safety: The model can help traffic management organizations identify areas with high levels of pavement distress, allowing them to reroute traffic and reduce the risk of accidents related to poor road conditions.

4. Insurance Claim Validation: Insurance companies can use the Pavement Distress Detection model to validate claims related to vehicular damage caused by poor road conditions, streamlining the claim processing workflow.

5. Autonomous Vehicle Navigation: By incorporating the Pavement Distress Detection model into self-driving vehicle systems, the vehicles can make better decisions on navigating safely and avoiding road hazards, leading to improvements in the overall efficiency and safety of autonomous transportation.