ArticleMultimedia tools and applications2022
A real time face mask detection system using convolutional neural network.
Article in Multimedia tools and applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- A multi-class framework for face mask compliance detection using lightweight deep learning models.Scientific reports · 2026Article
- Robust face mask detection in complex scenarios using YOLOv8 and context-aware convolutions.Scientific reports · 2025Article
- IoT and ML-driven framework for managing infectious disease risks in communal spaces: a post-COVID perspective.Frontiers in public health · 2025Article
- IoT Solutions and AI-Based Frameworks for Masked-Face and Face Recognition to Fight the COVID-19 Pandemic.Sensors (Basel, Switzerland) · 2023Review
- FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas.Sensors (Basel, Switzerland) · 2023Article
- CoSumNet: A video summarization-based framework for COVID-19 monitoring in crowded scenes.Artificial intelligence in medicine · 2023Article
- Neural networks contribution in face mask detection to reduce the spread of COVID-19.Multimedia tools and applications · 2023Article
- 3D face recognition algorithm based on deep Laplacian pyramid under the normalization of epidemic control.Computer communications · 2023Article
- Ensemble of deep transfer learning models for real-time automatic detection of face mask.Multimedia tools and applications · 2023Article
- RRFMDS: Rapid Real-Time Face Mask Detection System for Effective COVID-19 Monitoring.SN computer science · 2023Article
- A convolutional neural network for face mask detection in IoT-based smart healthcare systems.Frontiers in physiology · 2023Article
- COVID-19 risk reduce based YOLOv4-P6-FaceMask detector and DeepSORT tracker.Multimedia tools and applications · 2023Article
- Face Mask-Wearing Detection Model Based on Loss Function and Attention Mechanism.Computational intelligence and neuroscience · 2022Review
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
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.
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