Research on personnel vigilance helmet recognition algorithm based on Tengine

Ruidong Chen; Xin Wang; He Bing; Maocai Yang

doi:10.1117/12.2660029

3 February 2023 Research on personnel vigilance helmet recognition algorithm based on Tengine

Ruidong Chen, Xin Wang, He Bing, Maocai Yang

Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 1251125 (2023) https://doi.org/10.1117/12.2660029
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China

Abstract

In the complex environment of the city, due to the limited visual blind spot of the human perspective, the existing police helmets and other equipment cannot give sufficient protection to the special service squad because it does not have a self-warning function. In order to protect the safety of team members and improve the completion rate of tasks, a personnel vigilance system based on Tengine was designed. First, the high-performance RK3399 computing platform and the dual MIPI for real-time picture acquisition were selected according to the design requirements Wide-angle camera. Secondly, simulation experiments are carried out on virtual machines, and lightweight image recognition algorithms based on Tengine are trained and built through the VOC2012 dataset. Finally, the appropriate algorithm is selected according to the analysis and comparison of the experimental results. Experiments have proved that the personnel vigilance helmet recognition algorithm based on Tengine can meet the deployment and real-time target detection requirements of the embedded platform RK3399, which can effectively improve the survival rate of special agents and ensure the efficient completion of tasks.

Citation Download Citation

Ruidong Chen, Xin Wang, He Bing, and Maocai Yang "Research on personnel vigilance helmet recognition algorithm based on Tengine", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 1251125 (3 February 2023); https://doi.org/10.1117/12.2660029

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