A Smart System for Personal Protective Equipment Detection in Industrial Environments Based on Deep Learning at the Edge

Author:

Gallo Gionatan1ORCID,Rienzo Francesco Di1ORCID,Garzelli Federico1,Ducange Pietro1ORCID,Vallati Carlo1ORCID

Affiliation:

1. Information Engineering Department, University of Pisa, Pisa, Italy

Funder

Italian Ministry of Education and Research (MIUR) in the Framework of the CrossLaboratory Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Implementation of a convolutional network for detection of PPE in automotive repair services;2024 IEEE 6th Symposium on Computers & Informatics (ISCI);2024-08-10

2. Performance Evaluation of YOLOv5 on Edge Devices for Personal Protective Equipment Detection;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Fall Detection and Safety Accessory Monitoring System using Deep Learning;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

4. Vision-Based Construction Safety Monitoring Utilizing Temporal Analysis to Reduce False Alarms;Buildings;2024-06-20

5. MEAG-YOLO: A Novel Approach for the Accurate Detection of Personal Protective Equipment in Substations;Applied Sciences;2024-05-31

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