Personal protective equipment detection based on computer vision

Sicheng Liu; Wei Dong; Jiaming Hu

doi:10.1117/12.2659642

23 November 2022 Personal protective equipment detection based on computer vision

Sicheng Liu, Wei Dong, Jiaming Hu

Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 1245424 (2022) https://doi.org/10.1117/12.2659642
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China

Abstract

At present, most power plants are not intelligent for workers, and there are weak safety awareness. The combination of computer vision and the actual engineering site, such as real-time monitoring of workers' protective equipment wear, can greatly reduce the occurrence of safety accidents.This paper collects a dataset of 2,035 images from a power plant video record based on the deep learning network DenseNet to train the model. On the test dataset, the average accuracy was 0.84 and the recall rate was 94%.In this paper, this paper detects the wearing equipment of workers based on computer vision, which provides help for complex field security management.

Citation Download Citation

Sicheng Liu, Wei Dong, and Jiaming Hu "Personal protective equipment detection based on computer vision", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 1245424 (23 November 2022); https://doi.org/10.1117/12.2659642

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