Biomimetic Robotic Fish for Automated Leakage Detection via Computer Vision
This project is inspired by a national robotics competition, focusing on biomimetic fish designs for underwater robotic applications. The primary objective is to develop an autonomous underwater robot capable of efficiently detecting leakage points along submerged pipelines. Leveraging advanced hardware integration, we utilize an STM32F407ZET6 embedded microcontroller coupled with an OpenCV-powered vision module to implement sophisticated computer vision algorithms. Furthermore, a finely-tuned PID control system is designed to ensure precise swimming maneuvers and stable navigation. The main contributions and novelty of this project lie in the integration of real-time visual leak detection with bio-inspired robotic swimming, demonstrating rapid and reliable performance under complex underwater conditions. This interdisciplinary approach showcases robust engineering skills in embedded systems, control theory, and machine vision, addressing practical challenges in underwater inspection tasks.
