Skip to main navigation menu Skip to main content Skip to site footer
Español (España) | English
Editorial
Revistas / Journals
Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
Home
Issue
Current Issue Previous Issues Thematic issues
About
About the Journal Editorial Team Privacy Statement Contact
Author Guidelines
Guidelines for authors Peer Review Process Open Access Policy and Copyright Digital preservation policy Ethical aspects Anti-plagiarism policy Crossmark policy page
Indexing
×
Español (España) | English
Editorial

Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
Home

Current Issue Previous Issues Thematic issues

About the Journal Editorial Team Privacy Statement Contact

Guidelines for authors Peer Review Process Open Access Policy and Copyright Digital preservation policy Ethical aspects Anti-plagiarism policy Crossmark policy page
Indexing
Original
Published: 2024-06-21
DOI: https://doi.org/10.56294/sctconf2024937

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

Search this author on:

PubMed | Google Scholar
Johan Bin Mohamad Sharif ,
Johan Bin Mohamad Sharif

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

Search this author on:

PubMed | Google Scholar
Sah Salam ,
Sah Salam

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

Search this author on:

PubMed | Google Scholar
Chengke Ran ,
Chengke Ran

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

Search this author on:

PubMed | Google Scholar
Zhuoxi Chen ,
Zhuoxi Chen

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

Search this author on:

PubMed | Google Scholar

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.

Keywords:

Campus security,
mask recognition,
YOLO,
SPP,
PAN,

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 Jun. 29];3:937. Available from: https://conferencias.saludcyt.ar/index.php/sctconf/article/view/937

Copyright Notice

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

Article metrics

Google scholar: See link

Metrics

Metrics Loading ...

Vol. 3 (2024)
See full issue

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.