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High response speed and accuracy real-time mask-detection system for chinese campuses

By
Baitong Zhong ,
Baitong Zhong

College of Information Engineering, Hunan Mechanical Electrical Polytechnic, Changsha, Hunan province,410000,China; /UTM Johor Bahru, Universiti Teknologi Malaysia, Johor, 81310, Malaysia

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Johan Bin Mohamad Sharif ,
Johan Bin Mohamad Sharif

UTM Johor Bahru, Universiti Teknologi Malaysia, Johor, 81310, Malaysia

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Sah Salam ,
Sah Salam

UTM Johor Bahru, Universiti Teknologi Malaysia, Johor, 81310, Malaysia

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Chengke Ran ,
Chengke Ran

College of Information Engineering, Hunan Mechanical Electrical Polytechnic, Changsha, Hunan province, 410000, China

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Zhuoxi Chen ,
Zhuoxi Chen

Hunan Vocational College of Electronic and Technology,Changsha, Hunan province, 410000, China

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Abstract

Due to the increasing number of students studying in universities globally, the need for effective and timely safety measures has become more critical. This study aims to provide a high tech monitoring system that can help universities realize the security they need. The main functions are mask detection. Among them, mask detection is mainly used to determine if students are wearing the right masks. This paper also carried out algorithm provinciation for two kinds of detection.In the mask detection function, YOLOV4-Tiny model is used, and SPP is added and improved on this basis. And replace the feature enhancement network with the path aggregation network (PAN). After the experiment, the accuracy was improved, Precision (P) and Recall (R) increase by 1.61% and 4.14%.and the response speed of mask detection was improved(The FPS reached 98.67) too. It greatly improves the efficiency of the system and provides security for students.

How to Cite

1.
Zhong B, Mohamad Sharif JB, Salam S, Ran C, Chen Z. High response speed and accuracy real-time mask-detection system for chinese campuses. Salud, Ciencia y Tecnología - Serie de Conferencias [Internet]. 2024 Jun. 21 [cited 2024 Jul. 19];3:937. Available from: https://conferencias.saludcyt.ar/index.php/sctconf/article/view/937

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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