FACE MASK DETECTION USING MACHINE LEARNING - Journal of Science and Technology

Aug 2, 2026

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The COVID-19 pandemic reshaped daily life and made correctly worn face masks a new standard, especially for public service providers that need reliable compliance. This paper presents a simplified face-mask detection approach using core machine learning tools including TensorFlow, Keras, and OpenCV. It clarifies how machine learning contributes to artificial intelligence via a conceptual framework and emphasizes detection from images and in motion. Experiments report up to 95.77% and 94.58% accuracy on two datasets.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages6

Reading Time15 min

Abstract

Introduction

Concepts to be Understood Machine Learning

What is Machine Learning?

Machine Learning vs. Deep Learning

Journal of Science and Technology ISSN: 2456-5660 Volume 8, Issue 07 (July-2023) [www.jst.org.in DOI:](www.jst.org.in DOI:)[https://doi.org/10.46243/jst.2023.v8.i07.pp114-119](https://doi.org/10.46243/jst.2023.v8.i07.pp114-119) FACE MASK DETECTION USING MACHINE LEARNING DR. JAGADEESAN1, A SREEJA2, ARSHNAAZ3, SRINIDHI CH4, B SAI SMARANI5 PROFESSOR1, DEPARTMENT OF ECE, MALLAREDDY ENGINEERING COLLEGE FOR WOMEN, HYDERABAD UGSCHOLAR2,3,4&5, DEPARTMENT OF ECE, MALLAREDDY ENGINEERING COLLEGE FOR WOMEN, HYDERABAD To Cite this Article DR. JAGADEESAN1, A SREEJA2, ARSHNAAZ3, SRINIDHI CH4, B SAI SMARANI,“FACE MASK DETECTION USING MACHINE LEARNING ” Journal of Science and Technology, Vol. 08, Issue 07,-July 2023, pp114-119 Article Info Received: 08-06-2023 Revised: 09-07-2023 Accepted: 16-07-2023 Published: 25-07-2023 ABSTRACT: COVID-19 pandemic has rapidly affected ourday-to-day life disrupting the world trade and movements. Wearing a protective face mask hasbecome a new normal. In the near future, many public service providers will ask the customers to wear masks correctly to avail of their services. Therefore, face maskdetection has become a crucial task to help global society. This paper presents a simplified approach to achieve this purpose using some basic Machine Learning packages like TensorFlow, Keras and OpenCV. The application of ―machine learning‖ and ―artificial intelligence‖ has become popular within the last decade. Both terms are frequently used in science and media, sometimes interchangeably, sometimes with different meanings. In this work, we specify the contribution of machine learning to artificial intelligence. We review relevant literature and present a conceptual framework which clarifies the role of machine learning to build (artificial) intelligent agents.The proposed method detects the face from the image correctly and then identifies if it has a mask on it or not. As a surveillance task performer, it can also detect a face along with a mask in motion. The method attains accuracy up to 95.77% and 94.58% respectively on two different datasets. We explore optimized values of parameters using the mobileNetV2 which is a Convolutional Neural Network architecture to detect the presence of masks correctly without causing overfitting. INTRODUCTION: Coronavirus disease (COVID-19) is a newly foundcoronavirus that causes an infectious disease. The COVID-19 virus causes mild to moderate respiratorydisease in the majority of people who are infected and recuperate without the need for extra care. People in their eighties and nineties, as well as those with underlying medicalconditions Cardiovascular disease, diabetes, chronic obstructive pulmonary disease, and cancer are all on the rise. There's a good chance you'll get sick. The best way to prevent and slow down transmission is to be well informed about the COVID-19 virus, the disease it causes and how it spreads. Protect yourself and others from infection by washing your hands or using an alcohol based rub frequently and not touching your face. When an infected individual coughs or sneezes, the COVID-19 virus transmits predominantly through droplets of saliva or discharge from the nose, therefore respiratory etiquette is particularly vital. Masks are an important tool for preventing transmission and saving lives. Physical separation, avoiding crowded, closedand close contact settings, sufficient ventilation, wiping hands, covering sneezes and coughs, and more should all be part of a complete do-itall approach that includes masks. Masks can be used to protect healthy people or to prevent forward transmission, depending on the type Published by: Longman Publishers [www.jst.org.in](www.jst.org.in) Page | 114 COVID-19 pandemic has rapidly affected our day-to-day life disrupting the world trade and movements. Wearing a protective face mask has become a new normal. In the near future, many public service providers will ask the customers to wear mask

FAQs

What is the main purpose of the face mask detection system described in the paper?

It detects whether a face in an image has a mask or not, supporting correct mask usage for public safety and service access. It can also detect faces with masks in motion as a surveillance task.

Which tools and libraries are used for the proposed approach?

The paper uses basic machine learning packages including TensorFlow, Keras, and OpenCV for building and running the detection method.

How does the paper position machine learning relative to artificial intelligence and deep learning?

It specifies machine learning’s contribution to artificial intelligence and explains the difference between machine learning and deep learning, focusing on feature extraction and the role of labeled or unstructured data.

Aug 2, 2026

Upload by Liam