Bei Yi AVIS In-Flight Intelligent Recognition System Successfully Deployed for Power Line Inspection
Recently, the Bei Yi AVIS airborne intelligent recognition system was successfully deployed in power inspection projects across multiple provinces, enabling automatic identification of transmission line defects and boosting inspection efficiency by 300%.
Project Background
Traditional power inspections rely on manual visual checks, which are inefficient, costly, and risky. The Bei Yi AVIS system leverages multi-modal fusion sensing and AI object recognition to automatically detect and identify defects in transmission lines.
Technical Solution
Integrates visible light cameras, infrared thermal imaging, and LiDAR sensors. Powered by YOLOv8 deep learning algorithms, it detects multiple defects such as damaged insulators, broken conductor strands, and tilted towers with an accuracy of ≥98%.
Application Effect
- Inspection efficiency increased by 300%, with single inspection time reduced from 4 hours to 1 hours.
- Defect identification accuracy ≥ 98%, false positive rate ≤ 2%
- Reduce labor costs by 70% and minimize high-altitude work risks
Customer Reviews
"The BeiYi AVIS system has significantly improved our inspection efficiency and quality, providing strong assurance for the safe operation of power facilities." — Operations Manager, Provincial Power Company