Paper
19 October 2023 Pipeline weld detection robot based on YOLOv5-Lite
Peng Xu, Chaoyang Zuo, Tianhao Zhang
Author Affiliations +
Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 1270963 (2023) https://doi.org/10.1117/12.2684623
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China
Abstract
This paper proposes a real-time detection robot for external pipeline welds based on YOLOv5-Lite. The robot consists of multiple parts, including the car body, motion system, image acquisition and transmission system, control system and weld inspection system. Through a new mechanical structure, the robot can make forward and rotating actions on the outer wall of the pipeline, and transmit the acquired image to the weld defect detection model through ESP32-CAM to inspect the quality of the pipeline weld in real time. This paper is designed to realize the intelligence, efficiency and high accuracy of modern detection.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peng Xu, Chaoyang Zuo, and Tianhao Zhang "Pipeline weld detection robot based on YOLOv5-Lite", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 1270963 (19 October 2023); https://doi.org/10.1117/12.2684623
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KEYWORDS
Object detection

Control systems

Inspection

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