Enabling Robots to 'See Dirt and Cracks', SingTown Technology Makes Power Transmission Line Maintenance More Efficient and Safer

In the routine maintenance of power transmission and distribution lines, insulators are highly susceptible to accumulating grime and developing fine cracks due to prolonged exposure to wind, rain, high-temperature radiation, and dust pollution. Traditional manual cleaning and inspection methods are not only inefficient and high-risk but also make it difficult to accurately identify cracks with the naked eye.

Therefore, the manufacturer of power washing robots plans to incorporate SingTown's OpenMV intelligent camera vision module to achieve automatic detection of insulator cracks through image recognition after completing high-pressure water flow cleaning operations.

The system requires the installation of a camera module next to the robot's cleaning nozzle to capture real-time images of the insulator surface after cleaning. Using AI image analysis algorithms, it determines whether abnormal features such as "black line cracks, abnormal reflections, or damage marks" are present on the surface and outputs the detection results. This achieves full-process automation from "cleaning → detection → result feedback," significantly enhancing the intelligence and safety levels of power inspections.

The intelligent detection module, built on the OpenMV machine vision platform for the power cleaning robot, provides efficient and low-power visual recognition capabilities.

During the cleaning operation, the robot uses high-pressure water jetting to clean the insulators, while the camera module simultaneously captures images of the cleaned surface. The edge detection, grayscale enhancement, and pattern matching algorithms of the OpenMV edge AI can quickly distinguish between "water stain reflections" and "crack defects." When continuous dark lines, irregular reflections, or interruptions in light patterns are detected on the surface, the system automatically identifies them as "potential cracks" and reports the results to the main control system.

This solution maintains stable and precise recognition performance even under complex outdoor lighting conditions, supporting dynamic exposure adjustment and real-time light compensation. Additionally, due to the adoption of an embedded edge deployment processing architecture, it does not require an external PC and can rapidly complete image capture and analysis on the robot side, with a full detection cycle controllable within 2 seconds.

SingTown Technology's OpenMV embedded vision module can automatically synchronise the detection area based on the angle and movement path of the robotic nozzle, achieving "simultaneous cleaning and identification," which greatly enhances operational efficiency. This system is particularly suitable for power transmission and distribution maintenance enterprises and line cleaning equipment manufacturers, assisting them in creating integrated solutions that combine automatic cleaning, intelligent detection, and safety alerts, providing reliable visual support for the intelligent inspection of high-voltage equipment.