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. 2022;81(11):14999-15015.
doi: 10.1007/s11042-022-12166-x. Epub 2022 Feb 25.

A real time face mask detection system using convolutional neural network

Hiten Goyal  1 , Karanveer Sidana  1 , Charanjeet Singh  1 , Abhilasha Jain  1 , Swati Jindal  1
Affiliations

A real time face mask detection system using convolutional neural network

Hiten Goyal et al. Multimed Tools Appl. 2022.

Abstract

In current times, after the rapid expansion and spread of the COVID-19 outbreak globally, people have experienced severe disruption to their daily lives. One idea to manage the outbreak is to enforce people wear a face mask in public places. Therefore, automated and efficient face detection methods are essential for such enforcement. In this paper, a face mask detection model for static and real time videos has been presented which classifies the images as "with mask" and "without mask". The model is trained and evaluated using the Kaggle data-set. The gathered data-set comprises approximately about 4,000 pictures and attained a performance accuracy rate of 98%. The proposed model is computationally efficient and precise as compared to DenseNet-121, MobileNet-V2, VGG-19, and Inception-V3. This work can be utilized as a digitized scanning tool in schools, hospitals, banks, and airports, and many other public or commercial locations.

Keywords: COVID-19; Convolutional neural network (CNN); Deep learning; OpenCV; Real-time face mask detection.

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Conflict of interest statement

Conflict of InterestsHiten Goyal, Karanveer Sidana, Charanjeet Singh, Abhilasha Jain and Swati Jindal declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Preview of Face mask Dataset
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Fig. 2
The Proposed Architecture
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Fig. 3
Adam: Precision vs Recall
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Fig. 4
SGD: Precision vs Recall
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Fig. 5
Diagram showing implemented Face Mask Model
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Accuracy test results during Model Training
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Loss test results during Model Training
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Fig. 8
ROC Curve Plot
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Fig. 9
Different model comparison w.r.t accuracy, size and training speed
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Fig. 10
Predictions on Test Images
See this image and copyright information in PMC

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