Face Mask Detection System
S. Sabeena
, T.Srinithi , S.Rahul
TensorFlow, Keras, OpenCV, Haarcascade.
In this project, we develop a Python-based face mask recognition and detection system using computer vision techniques to address the crucial need for monitoring mask compliance. The system has two main stages: face localization and mask classification respectively. We implement a robust face detection algorithm using open-source libraries, accurately identifying faces within images and videos. A customized convolutional neural network (CNN) is then utilized for mask classification, distinguishing between masked and unmasked individuals. Our system is rigorously evaluated on a diverse dataset, yielding compelling results with accuracy, precision and recall. The proposed solution has significant promise for enhancing public safety in various settings, for example public transportation and retail. Our Python-based approach offers an accessible and practical solution to automate face mask detection, contributing to a safer environment while promoting health guidelines.
"Face Mask Detection System", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 10, page no.584 - 588, October-2023, Available :https://ijsdr.org/papers/IJSDR2310096.pdf
Volume 8
Issue 10,
October-2023
Pages : 584 - 588
Paper Reg. ID: IJSDR_209003
Published Paper Id: IJSDR2310096
Downloads: 000347384
Research Area: Science & Technology
Country: Coimbatore, Tamil Nadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
