Road Manhole Cover Recognition Algorithm

In modern cities, the traditional method of manually inspecting manhole covers is inefficient and error-prone, and it is difficult to meet the safety requirements of urban operation. Nowadays, by combining unmanned aerial vehicle (UAV) technology with the road manhole cover recognition algorithm, a comprehensive intelligent monitoring network can be established to efficiently safeguard the "foot safety" of the city. Through deep learning, this algorithm can accurately identify the color, shape, size, and status of manhole covers, quickly process a large amount of image data, mark the location and status of manhole covers, and significantly improve the recognition efficiency and accuracy. After the UAV is equipped with this algorithm, it can fly autonomously according to the preset route, and conduct real-time monitoring of key areas such as urban main roads, residential areas, and commercial centers, promptly detect and issue warnings for problems such as damaged or lost manhole covers, provide a basis for rapid handling by the management department, and effectively avoid traffic accidents and potential safety hazards. In scenarios such as security protection for major events, its remote monitoring and rapid response capabilities provide strong guarantees for public safety.