Potholes caused by road surface wear and sinkholes caused by soil subsidence can lead to accidents and vehicle damage. Monitoring their area and depth for timely repairs and road maintenance is crucial to ensure road safety. The camera vision device uses advanced imaging techniques to determine the shape and size of potholes, calculating their area and estimating volume based on the depth and contour information gathered. This study compared the results from the camera vision device with those obtained through traditional manual methods. The system measurements achieved a margin of error within 5 %, making it a reliable alternative for field applications. Additionally, this paper highlights the effectiveness of camera vision technology in modernizing road maintenance, thus facilitating a fast, accurate, and reliable method for assessing pothole damage. The findings indicate that implementing this technology can greatly enhance the management and repair of road infrastructure, lower costs, and improve safety.
