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  Authors

Suma.S,SriJhanyaa.S,Yaashini.S.S,Sai Sunitha.G

  Keywords

OpenCV, Keras /TensorFlow, deep learning, face detection, face mask classification, Convolutional Neural Network, MobileNetV2, COVID-19, Accuracy, Precision, Recall, F1-score.

  Abstract


The Face masks have become an essential tool to prevent the spread of COVID-19. However, not everyone wears them properly or consistently. Therefore, there is a need for an automated system that can detect and monitor face mask usage in public places. In this project, we propose a face mask detector that uses OpenCV, Keras /TensorFlow, and deep learning to perform face detection and face mask classification. Our system consists of two main components: a face detector and a face mask classifier. The face detector can locate faces in a live stream using a convolutional neural network (CNN) with an accuracy of 0.99. The face mask classifier is based on the MobileNetV2 model, which can classify faces into two categories: with mask or without mask, using another CNN. We train and test our models on a dataset of 3833 images of people wearing and not wearing face masks. We evaluate our system on various metrics, such as accuracy, precision, recall, and F1 score. We also compare our system with other existing face mask detectors and show that our system achieves better performance. Our system can be deployed on various platforms, such as web applications, mobile devices, or CCTV cameras, to enforce face mask compliance and reduce the risk of COVID-19 transmission.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT24A4001

  Paper ID - 253281

  Author type - Indian Author

  Page Number(s) - i712-i716

  Pubished in - Volume 12 | Issue 4 | April 2024

  DOI (Digital Object Identifier) -   

  No Of Downloads - 58

  Author Country - India, 603203, Chengalpattu , Chengalpattu , 603203, Science and Technology

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT24A4001

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4001

  Published Paper PDF Downlaod: - download.php?file=IJCRT24A4001

  Cite this article

Suma.S,SriJhanyaa.S,Yaashini.S.S,Sai Sunitha.G,   "Medical Mask Recognition Using DL", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.i712-i716, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A4001.pdf

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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.

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