Real-Time Face Mask Detection in Mass Gatherings to Reduce Covid-19 Spread

[1] Pranad Munjal, Vikas Rattan, Rajat Dua, and Varun Malik. “Real-Time Face Mask Detection using Deep Learning” Journal of Technology Management for Growing Economies, vol. 12, no. 1 (2021), pp. 25–31. DOI: 10.15415/jtmge. 2021.121003. Search in Google Scholar

[2] Mohammad Marufur Rahman, Saifuddin Mahmud, Md. Motaleb Hossen Manik, Jong- Hoon Kim, and Md. Milon Islam. “An Automated System to Limit COVID-19 Using Facial Mask Detection in Smart City Network” Published in: 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). DOI: 10.1109/IEMTRONICS51293.2020.9216386. Search in Google Scholar

[3] A. Nieto-Rodríguez, M. Mucientes, and V. M. Brea. “System for Medical Mask Detection in the Operating Room Through Facial Attributes”. In Pattern Recognition and Image Analysis, Roberto Paredes, Jaime S. Cardoso, and Xosé M. Pardo (Eds.) 2015, Springer International Publishing, Cham, 138–145. Search in Google Scholar

[4] A. Das, M. Ansari, and R. Basak. “Covid-19 Face Mask Detection Using TensorFlow, Keras and OpenCV.” 2020 IEEE 17th India Council International Conference (INDICON), New Delhi, India. 2020. DOI: 10.1109/INDICON49873.2020.934 2585. Search in Google Scholar

[5] S. V. Militante and N. V. Dionisio. “Real-Time Face Mask Recognition with Alarm System using Deep Learning”. 2020 11th IEEE Control and System Graduate Research Colloquium (ICSGRC), Shah Alam, Malaysia. 2020. DOI: 10.1109/ICSGRC49013.2020.9232610. Search in Google Scholar

[6] F. M. Javed Mehedi Shamrat, Sovon Chakraborty, Md. Masum Billah, Md. Al Jubair, Md Saidul Islam, and Rumesh Ranjan, “Face Mask Detection using Convolutional Neural Network (CNN) to reduce the spread of Covid-19”. 5th International Conference on Trends in Electronics and Informatics (ICOEI 2021) Tirunelveli, India, 3-5, June 2021. DOI: 10.1109/ICOEI51242.2021.9452836. Search in Google Scholar

[7] Wadii Boulila, Adel Ammar, Bilel Benjdira, and Anis Koubaa. “Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach.” Image and Video Processing (eess.IV). DOI: 10.48550/ arXiv.2203.07728. Search in Google Scholar

[8] M. Loey, G. Manogaran, M. H. N. Taha, and N. E. M. Khalifa. “A Hybrid Deep Transfer Learning Model with Machine Learning Methods for Face Mask Detection in the Era of the COVID- 19 Pandemic. Measurement, 167, 2021. 108288. DOI: 10.1016/j. Search in Google Scholar

[9] S. Soner, R. Litoriya, and P. Pandey. “Exploring Blockchain and Smart Contract Technology for Reliable and Secure Land Registration and Record Management.” Wireless Pers Commun 121, 2495–2509. 2021. DOI: 10.1007/s11277-021-08833-1. Search in Google Scholar

[10] P. Pandiyan. “Social Distance Monitoring and Face Mask Detection Using Deep Neural Network.” (2020, December 17). Retrieved from: https://www.researchgate.net/publication/347439579_Social_Distance_Monitoring_and_Face_Mask_Detection_Using_Deep_Neural_Network, DOI: 10.15415/jtmge.2021.121003. Search in Google Scholar

[11] S. Soner, R. Litoriya, and P. Pandey. “Making Toll Charges Collection Efficient and Trustless: A Blockchain-Based Approach” 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). IEEE, DOI: 10.1109/ICAC3N53548. 2021.9725447. Search in Google Scholar

[12] H. Vagrecha, A. Tuteja, A. S. Mandloi, A. Dube, and S. Soner. “Coders Hub ML Edu. Platform Systems (May 24, 2021).” Proceedings of the International Conference on Smart Data Intelligence (ICSMDI 2021). Available at SSRN: https://ssrn.com/abstract=3851962 or DOI: 10.2139/ ssrn.3851962. Search in Google Scholar

[13] X. Wang, X. Le, and Q. Lu. “Analysis of China’s Smart City Upgrade and Smart Logistics Development under the COVID-19 Epidemic,” J. Phys. Conf. Ser., vol. 1570, p. 012066, 2020. DOI: 10. 3390/s21113838. Search in Google Scholar

[14] J. Won Sonn, and J. K. Lee. “The smart city as timespace cartographer in COVID-19 control: the South Korean strategy and democratic control of surveillance technology,” Eurasian Geogr. Econ., pp. 1-11, May. 2020. DOI: 10.1016/j.scitotenv. 2020.142391. Search in Google Scholar

[15] P. Ghosh, F. M. Javed Mehedi Shamrat, S. Shultana, S. Afrin, A. A. Anjum, and A. A. Khan. “Optimization of Prediction Method of Chronic Kidney Disease Using Machine Learning Algorithm,” 2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), Bangkok, Thailand, 2020, pp. 1-6. DOI: 10.1109/iSAI-NLP51646.2020.9376787. Search in Google Scholar

[16] Preeti Nagrath, Rachna Jain, Agam Madan, Rohan Arora, Piyush Kataria, and Jude Hemanth. 2021. “SSDM V2: A real time DNN-based face mask detection system using single shot multibox detector and MobileNetV2.” Sustainable Cities and Society 66 (2021), 102692. DOI: 10.1016/j. scs.2020.102692. Search in Google Scholar

[17] Institute for Health Metrics and Evaluation. 2021. COVID-19 Projections. Retrieved April 27, 2021. page 1665. DOI: 10.1016/S0140-6736 (21)02143-7. Search in Google Scholar

[18] J. Redmon, S. Divvala, R. Girshick, and A. Farhadi. “You Only Look Once: Unified, Real-Time Object Detection. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).” 2016. 779–788. DOI: 10.1109/CVPR.2016.91. Search in Google Scholar

[19] M. V. Manorj Kumar et al. “Detection of Covid-19 Using Deep Learning Technique and Cost Effectiveness Evaluation: A Survey”. Front. Artif. Intell., 27 May 2022 Sec. Medicine and Public Health. DOI: 10.3389/frai.2022.912022. Search in Google Scholar

[20] Zaid Abdi Alkareem Alyasseri et al. “Review on COVID-19 diagnosis models based on machine learning and deep learning approaches” Expert Syst. 2022 Mar; 39(3): e12759. PMCID: PMC8420483 PMID: 34511689. DOI: 10.1111/ exsy.12759. Search in Google Scholar

[21] S. V. Kogilavani et al. “COVID-19 Detection Based on Lung CT Scan Using Deep Learning Techniques.” Research Article | Open Access Volume 2022 | Article ID 7672196 | DOI: 10.1155/ 2022/7672196. Search in Google Scholar

[22] Mohamad Alkhodari, and Ahsan, H. Khandoker. “Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool.” Published: January 13, 2022. DOI: 10.1371/journal.pone.0262448. Search in Google Scholar

[23] Muhammad Imad et al. “IoT Based Machine Learning and Deep Learning Platform for COVID-19 Prevention and Control: A Systematic Review” January 2022. In book: AI and IoT for Sustainable Development in Emerging Countries (pp. 523-536). DOI: 10.1007/978-3-030-906 18-4_26. Search in Google Scholar

[24] https://www.researchgate.net/publication/344725412_Covid19_Face_Mask_Detection_Using_TensorFlow_Keras_and_OpenCV#pf2. Search in Google Scholar

[25] S. Soner, J. Kukade, “Autonomous Anomaly Detection System for Crime Monitoring and Alert Generation”, Journal of Automation, Mobile Robotics and Intelligent Systems 16(1), 62-71, DOI: 10.14313/JAMRIS/1-2022/7. Search in Google Scholar

[26] S. Soner, R. Litoriya, P. Pandey, “Making Toll Charges Collection Efficient and Trustless: A Blockchain-Based Approach” 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), DOI: 10.1109/ICAC3N56670. 2022. 16-17 Dec. 2022. Search in Google Scholar

[27] S. Soner, A. Jain, A. Tripathi, R. Litoriya. “A novel approach to calculate the severity and priority of bugs in software projects”, 2010 2nd International conference on education technology and computer, Volume 2, Pages V2-50–V2-54 Publisher IEEE, DOI: 10.1109/ICETC.2010.5529438. Search in Google Scholar