INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
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.
Keywords:
TensorFlow, Keras, OpenCV, Haarcascade.
Cite Article:
"Face Mask Detection System", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 10, page no.584 - 588, October-2023, Available :http://www.ijsdr.org/papers/IJSDR2310096.pdf
Downloads:
000338719
Publication Details:
Published Paper ID: IJSDR2310096
Registration ID:209003
Published In: Volume 8 Issue 10, October-2023
DOI (Digital Object Identifier):
Page No: 584 - 588
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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