Digital Inspection

Digital Inspection of Roads is an AI driven road inspection solution designed to help transportation authorities, infrastructure managers, and maintenance teams monitor road conditions more efficiently using automated technology. The platform digitizes traditional road inspection processes by using video footage captured from vehicles equipped with consumer grade cameras, allowing inspectors to record road surfaces and surrounding infrastructure while driving along inspection routes. Using machine learning and computer vision models, the system automatically identifies road assets such as signs, markings, and marker posts, while also detecting defects including asphalt damage, fading road markings, and other infrastructure issues. All detected assets and anomalies are mapped and organized within a centralized dashboard where inspectors can review results, verify detections, and generate inspection reports. This approach allows teams to conduct inspections without manually examining every section of road, improving both safety and efficiency during field operations. One of the platform’s key advantages is its ability to continuously collect and analyze inspection data over time, building a detailed digital record of road conditions that supports better maintenance planning and infrastructure management.