Research and training of helmet recognition model based on deep learning

Yingwen Xie

doi:10.1117/12.3025727

28 February 2024 Research and training of helmet recognition model based on deep learning

Yingwen Xie

Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 130712V (2024) https://doi.org/10.1117/12.3025727
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China

Abstract

For the detection of hard hats, the human key point detection model and YOLO3 algorithm based on deep learning are adopted. In this paper, we will introduce a series of work required for the design model of helmet recognition, including the construction of model training environment, data set preparation, model training, model visualization operation and model recognition results. The identification model of safety hat in electric power construction site will be developed based on PyTorch. The following framework depicts the structure of a deep learning model framework based on PyTorch.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yingwen Xie "Research and training of helmet recognition model based on deep learning", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 130712V (28 February 2024); https://doi.org/10.1117/12.3025727

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