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The World Health Organization (WHO) recommends wearing a facemask to protect against the COVID\u201019 pandemic\u2014the levels of a pandemic rise across almost all regions of the world. By following the WHO rules, we support the development of face mask\u2010detecting technologies and determine whether or not people are using masks in public locations. The proposed paradigm in this paper will work in three stages. Firstly, we use an Image data generator to import the images. In addition to using a Haar cascade (HC) classifier for detecting faces, residual learning (ResNet152V2) trains a model that detects whether someone is wearing a face mask. Detection and classification are carried out in real\u2010time with high precision. Compared with other recently proposed methods, the model achieved 99.65% accuracy during training and 99.63% during validation.<\/jats:p>","DOI":"10.1111\/exsy.13507","type":"journal-article","created":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T18:36:17Z","timestamp":1700764577000},"update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["An automated face mask detection system using transfer learning based neural network to preventing viral infection"],"prefix":"10.1111","volume":"41","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-2384-472X","authenticated-orcid":false,"given":"Sonia","family":"Verma","sequence":"first","affiliation":[{"name":"Department of Computer Science ABES Engineering College Ghaziabad India"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-5655-975X","authenticated-orcid":false,"given":"Preeti","family":"Rani","sequence":"additional","affiliation":[{"name":"Department of Electronics & Communication SRM Institute of Science and Technology, NCR\u2010Campus, Delhi\u2010Meerut Road, Modinagar Ghaziabad India"}]},{"given":"Shelly","family":"Gupta","sequence":"additional","affiliation":[{"name":"Department of computer science & engineering (Artificial\u00a0Intelligence) KIET Group of Institutions Ghaziabad India"}]},{"given":"Richa","family":"Sharma","sequence":"additional","affiliation":[{"name":"Department of Computer Science Bhagwan Parshuram Institute of Technology Rohini, New Delhi India"}]},{"given":"Kusum","family":"Yadav","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering University of Ha'il Ha'il Saudi Arabia"}]},{"given":"Arwa N.","family":"Aledaily","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering University of Ha'il Ha'il Saudi Arabia"}]},{"given":"Meshal","family":"Alharbi","sequence":"additional","affiliation":[{"name":"Department of Computer Science, College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz University Al\u2010kharj Saudi Arabia"}]}],"member":"311","published-online":{"date-parts":[[2023,11,21]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2020.102571"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-19-8825-7_55"},{"key":"e_1_2_8_4_1","doi-asserted-by":"crossref","unstructured":"Bhuiyan M. R. Khushbu S. A. &Islam M. S.(2020).A Deep Learning Based Assistive System to Classify COVID\u201019 Face Mask for Human Safety with YOLOv3. 2020 11th International Conference on Computing Communication and Networking Technologies (ICCCNT). 1\u20135https:\/\/doi.org\/10.1109\/ICCCNT49239.2020.9225384","DOI":"10.1109\/ICCCNT49239.2020.9225384"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/s23073634"},{"key":"e_1_2_8_6_1","unstructured":"Chowdary G. J. Punn N. S. Sonbhadra S. K. &Agarwal S.(2009).Face mask detection using transfer learning of InceptionV3. arXiv 2020.arXiv Preprint arXiv:2009.08369."},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.irbm.2020.07.001"},{"key":"e_1_2_8_8_1","first-page":"436","article-title":"Detecting multi\u2010pose masked face using adaptive boosting and cascade classifier","volume":"2020","author":"Dewantara B. S. 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R.(2019).Masked Face Recognition Using Convolutional Neural Network. 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI). 1\u20136https:\/\/doi.org\/10.1109\/STI47673.2019.9068044","DOI":"10.1109\/STI47673.2019.9068044"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.3390\/systems11020107"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/1536318"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-5640-8_12"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-66665-1_6"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-020-00199-4"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2022.169051"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.3390\/app13020935"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-02100-9"},{"key":"e_1_2_8_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108288"},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2020.102600"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.3390\/app13010069"},{"key":"e_1_2_8_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00354-021-00121-7"},{"key":"e_1_2_8_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.109207"},{"key":"e_1_2_8_24_1","first-page":"333","article-title":"AdaBoost face detection on the GPU using Haar\u2010like features","author":"Mart\u00ednez\u2010Zarzuela M.","year":"2011","journal-title":"International Work\u2010Conference on the Interplay between Natural and Artificial Computation"},{"issue":"1","key":"e_1_2_8_25_1","first-page":"3811","article-title":"Face mask detection methods and techniques: A review","volume":"13","author":"Mohammed Ali F. 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