Research on computer vision application in industry field: focus on distribution network engineering
DOI:
https://doi.org/10.47813/2782-2818-2023-3-1-0401-0410Ключевые слова:
Deep Learning, Application of Deep Learning Target DetectionАннотация
The operation of distribution networks is currently facing potential safety and quality defects that pose significant hazards. One solution to strengthen management, reduce manual workload, and improve efficiency and quality is by applying deep detection networks for dynamic defect detection in distribution network engineering. To start, defects in distribution network engineering are classified. Then, advanced deep detection networks and their applications in dynamic defect detection are researched and analyzed, along with a review of existing research. Key issues and their solutions for deep detection network application in dynamic defect detection in distribution network engineering are summarized. Finally, future research directions are explored to provide valuable references for future studies.
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Copyright (c) 2023 Fan Ke, Huang Chen-Yu, Liu Weijia, He Kun, Shi Bin, Wu Yanyou
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