Muck truck uncovered identification algorithm

The phenomenon of muck trucks not being covered with tarpaulins occurs frequently, resulting in the spillage of muck, dust pollution, and even traffic accidents, which seriously affects the urban environment and residents' lives. In order to effectively supervise the transportation behavior of muck trucks, the uncovered muck truck identification algorithm came into being, providing scientific and technological support for urban management through computer vision and deep learning technology. At the construction site, the algorithm can monitor the exit status of muck trucks in real time to ensure that the vehicles are properly covered with tarpaulins. Once an uncovered vehicle is found, the system automatically alarms and pushes information to the management personnel to avoid the spillage of muck and dust pollution, responding to the national green construction "six hundred percent" requirements. In urban management, the algorithm can be used in urban main roads, construction-intensive areas and key nodes of transportation routes. It uses high-definition cameras to monitor the coverage of tarpaulins in real time, deal with violations in a timely manner, and connect with the data platform of the environmental protection department to reduce air pollution.