Low-cost Underwater Inspection Robot Based on Deep Learning

This paper develops a professional underwater inspection equipment that aims to shorten the time required for pipeline inspection, solve the problems of low intelligence and poor inspection efficiency of the current traditional underwater inspection equipment, and can quickly and accurately complete the underwater inspection. A local area network is established between robots through LoRa wireless communication technology, and data is uploaded to the management and scheduling platform. Data processing and information display are performed by the platform to improve the efficiency of underwater inspection, and the robot is used to replace manual labor and large-scale equipment to reduce inspection costs. The robot uses deep learning to process camera data to further achieve autonomous search and high-precision identification.