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

In the daily maintenance of power transmission and distribution lines, insulators are highly susceptible to accumulating dirt 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 introduce SingTown Technology's OpenMV intelligent camera vision module. After completing the high-pressure water flow automatic cleaning operation, automatic detection of insulator cracks will be achieved through image recognition.

The system requires the installation of a camera module next to the robot 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" exist on the surface and outputs the detection results. This achieves full-process automation from "cleaning → detection → result feedback," significantly enhancing the intelligence level and safety 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 for the power cleaning robot.

During the cleaning operation, the robot uses high-pressure water jets 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-side 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. Simultaneously, due to the adoption of an embedded edge deployment processing architecture, it can rapidly complete image capture and analysis on the robot side without requiring an external PC, with the entire detection process controllable within 2 seconds.

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