Insulator Defect Detection

The task of insulator defect detection aims to automatically identify various defects in insulators within power systems using computer vision and machine learning technologies. Insulators are critical components that support and isolate high-voltage transmission lines, preventing current leakage and short circuits. Long-term exposure to harsh environmental conditions such as wind, rain, dust, and high temperatures can cause insulators to develop defects like cracks, contamination, and damage. Automated detection can promptly identify and locate these defects, enhancing the safety and reliability of power systems while reducing the workload and cost associated with manual inspections.