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Low-cost Underwater Inspection Robot Based on Deep Learning

Published: 14 October 2022 Publication History

Abstract

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.

References

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ICCIR '22: Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics
June 2022
905 pages
ISBN:9781450397179
DOI:10.1145/3548608
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 14 October 2022

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Overall Acceptance Rate 131 of 239 submissions, 55%

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