mariam-william/Road-Defects-Detection
Computer vision-based system for real-time detection and localization of road surface defects such as potholes and cracks, is proposed to overcome the limitations and inefficiency of human-based visual onsite road inspection.
This system automates the inspection of roads, identifying and pinpointing defects like potholes and cracks in real-time. It takes live video feed from a camera and outputs images of detected defects with their exact GPS coordinates and type, which are then stored in a cloud database. This is for civil engineers, public works departments, or urban planners responsible for road maintenance and infrastructure management.
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Use this if you need an efficient, automated way to continuously monitor road conditions and identify deterioration without relying on manual, visual inspections.
Not ideal if you require detailed analysis of subsurface road damage or very subtle, early-stage material fatigue that isn't visually apparent.
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Last pushed
Nov 06, 2021
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