Design and Research of Intelligent Surface Garbage Cleaning Robot Based on Depth Vision Sensing

With the improvement of people’s awareness of environmental protection and the increasing demand for the exploitation and utilization of Marine resources, deep excavation has become a new method and has been widely used in the fields of ships, ports and water conservancy projects. However, the traditional manual grasping method has the problems of low efficiency, high energy consumption, and is not suitable for deep information collection. Therefore, this paper proposed the motion recognition analysis and structural design of underwater robot based on vision sensing technology, and then carried out a comparative analysis of the algorithm optimization results of the system. The analysis results show that the cleaning efficiency of the traditional algorithm is more than 60%. As time goes by, the cleaning efficiency of traditional algorithms gradually declines, which may be affected by some limitations or inefficiencies. In contrast, the cleaning efficiency of the depth vision sensing algorithm is more than 70%, up to 90%, and the efficiency of the depth vision sensing algorithm is significantly better than that of the traditional algorithm. This means that the system can improve the capability and reliability of water clearing, and provide a reference for further treatment in complex environments, and has practical significance for realizing the automation of port clearing and transportation.