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January 1, 2026International Journal of Security and Networks

A lightweight transmission line foreign object detection algorithm based on improved YOLO11n

Qi Luan Hongxia Ni Yujia Liu Chao Lu Liying Zhao Chao Liu D Y Chen

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Key Points

The detection algorithm accurately identifies foreign objects, enhancing infrastructure safety.
It uses an improved YOLO model, achieving a significant increase in detection speed and accuracy.
This observational analysis focuses on transmission lines, optimizing detection strategies for real-world applications.
Support for lightweight detection algorithms may reduce operational costs and enhance monitoring capabilities.

Implication

Algorithm detects foreign objects on transmission lines using improved YOLO, suggesting efficiency improvements for infrastructure safety.

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Cite This Study

Luan et al. (2026) studied this question.

synapsesocial.com/papers/69a75f11c6e9836116a2a32e https://doi.org/10.1504/ijsn.2026.10076015

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