Analysis of Face Mask Detection through Machine Learning Techniques in Spread of COIVD-19

To distinguish individuals wearing face masks in observation settings like banks and ATMs, this work will give a profound learning model to face mask recognition. Hoodlums and offenders perpetrate wrongdoings by disguising their elements behind face masks, which is contrary to the standard in checking environmental factors. To recognize and secure offenders and lawbreakers, the face mask locator model set forth in this study can be joined with observation cameras in independent reconnaissance frameworks. The COVID-19 pandemic has in short order disturbed worldwide exchange and transportation, influencing our everyday lives. The act of utilizing a defensive face mask has changed. Coming soon from now on, a few public specialist co-ops will expect that clients utilize the legitimate masks while utilizing their administrations. Face mask ID is turning into a significant obligation to help the worldwide civilization. This paper frames a dense strategy for accomplishing this objective using specific essential AI instruments, including Tensor Stream, Keras, OpenCV, and Scikit-Learn. The proposed procedure effectively perceives the face in the picture and afterward decides if it is covered by a mask.

• Publication year

  2022

• Venue

  2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)

• Publication date

  2022-12-26

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1109/ICERECT56837.2022.10060863
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Face Mask Detection System using CNN

  2021cited by this paper
• COVID-19 Recognition based on Deep Transfer Learning

  2021cited by this paper
• A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic

  2020cited by this paper
• Identifying Facemask-Wearing Condition Using Image Super-Resolution with Classification Network to Prevent COVID-19

  2020cited by this paper
• MobileNet Mask: A Multi-phase Face Mask Detection Model to Prevent Person-To-Person Transmission of SARS-CoV-2

  2020cited by this paper
• Covid-19 Face Mask Detection Using TensorFlow, Keras and OpenCV

  2020cited by this paper
• Predicting Coronavirus Pandemic in Real-Time Using Machine Learning and Big Data Streaming System

  2020cited by this paper
• Research on image classification model based on deep convolution neural network

  2019cited by this paper
• Reshaping inputs for convolutional neural network: Some common and uncommon methods

  2019cited by this paper
• Convolutional neural networks: an overview and application in radiology

  2018cited by this paper
• Detecting Masked Faces in the Wild with LLE-CNNs

  2017cited by this paper
• An approach to face detection and recognition

  2016cited by this paper
• Family cluster of Middle East respiratory syndrome coronavirus infections.

  2013cited by this paper
• Characterization of a Novel Coronavirus Associated with Severe Acute Respiratory Syndrome

  2003cited by this paper

• Human Face Mask Recognition using ResNet 152 Model

  2023cites this paper