Highway Asphalt Pavement Degradation Classification using Deep Learning and Computer Vision

Challenge Background

Asphalt Pavement Degradation is a common problem on Nigerian highways. Major roads linking streets and even big cities face a serious challenge of bad roads due to the state of the road. Professionals in the field have agreed that the best way to reconstruct a road is to first know the type of degradation which provides data for the best decision to take. If this is ignored, fixing a degraded highway becomes blind and less effective.

The regular way of identifying a degraded pavement will be for Engineers to do onsite surveys. The different types of pavement degradation include Linear Cracks, Crocodile Cracks, Potholes (most prevalent in Nigeria), Fatigue Cracks, Blowouts, Reflection Cracks, sinkholes, Block Cracks, Rutting, and Ravelling. This process stands a chance of being automated.

Project Timeline

What you'll learn

Deep learning, image processing, computer vision, team work, problem solving