The AFTL (Automated Fault Detection in Power Transmission Lines) is a user-friendly, web-based software developed using deep learning techniques to detect over 80 types of defects in power transmission lines. This one-of-a-kind global database enables the detection of mechanical, electrical, and foundation-related faults.
How It Works:
High-resolution RGB images of power transmission lines captured by drones are uploaded to the software for analysis. The system has demonstrated an overall accuracy of over 91%.
Key Benefits:
- Significantly reduces inspection time and costs for power companies
- Prevents power outages by enabling early defect detection
- Automatically generates detailed technical reports in Excel and PDF formats
- Provides precise geolocation data for detected faults in KMZ format
- Facilitates further analysis, such as estimating the average lifespan of electrical components
This cutting-edge solution enhances grid reliability and operational efficiency, marking a major leap forward in AI-driven power line monitoring.
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