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What is Power System Equipment Detection in Thermal Images by Deep Learning Approach about?

This document presents a study on using a deep learning approach, specifically the YOLO-V8 framework, for detecting electrical equipment in thermal images. The proposed model achieves a mean average precision of 93.7% and operates in real-time, addressing challenges such as low contrast and orientation variations in thermal imagery. The research emphasizes the importance of accurate equipment detection for enhancing safety and efficiency in power system maintenance.

Author

Benoni Junior

Language

EN