Yuan Lab袁静课题组

Power-grid and coal-mine operations involve large amounts of repetitive manual inspection. The lab applies object detection and vision methods to these industry scenarios and builds assistant analysis systems.

What we do

• Insulator recognition: improved-YOLO-based insulator defect detection for transmission lines (Journal of Electrical Engineering & Technology, 2024) and an insulator intelligent recognition assistant analysis system.
• Corridor hazard detection: bird-nest detection based on improved YOLOv5s.
• Coal-mine scenarios: an intelligent large-coal-lump detection system and a protective-gate motion-state recognition system for coal production lines.

Selected publications

• Research on Insulator Defect Detection Algorithm Based on Improved YOLOv8. JEET, 2024.
• Insulator fault detection based on improved YOLOv5. Journal of Electric Power Science and Technology, 2023 (in Chinese).
• Bird-nest detection based on improved YOLOv5s. Electrical Measurement & Instrumentation, 2023 (in Chinese).