Face mask recognition system using MobileNetV2 with optimization function

References

• Ahmed, S. M., S. Rushitha, P. Neeraj, Swapna, and V. Kumar Gunjan. 2022. Safety and prevention measure to reduce the spread of corona virus at places of mass human navigation-a precautious way to protect from covid-19 BT - modern approaches in machine learning & cognitive science: A walkthrough. In In, ed. V. K. Gunjan and J. M. Zurada, 327–3487. Cham: Springer International Publishing. doi:10.1007/978-3-030-96634-8_30.
   Google Scholar
• Alrammahi, A. H. I., and M. J. Radif. 2019. Neural networks in business applications. Journal of Physics Conference Series 1294 (4):042007. doi:https://doi.org/10.1088/1742-6596/1294/4/042007.
   Google Scholar
• Bhagat, S., N. Yadav, J. Shah, H. Dave, S. Swaraj, S. Tripathi, and S. Singh. 2020. Novel corona virus (COVID-19) pandemic: Current status and possible strategies for detection and treatment of the disease. Expert Review of Anti-Infective Therapy 20 (10):1–24. doi:10.1080/14787210.2021.1835469.
   Web of Science ®Google Scholar
• Bhuiyan, M. R., S. Akter Khushbu, and M. Sanzidul Islam. 2020. “A deep learning based assistive system to classify COVID-19 face mask for human safety with YOLOv3.” In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 1–5. IEEE.
   Google Scholar
• Canete, J. J. O. 2021. When expressions of faith in the philippines becomes a potential COVID-19 ‘superspreader.’. Journal of Public Health 43 (2):e366–67. doi:10.1093/pubmed/fdab082.
   PubMed Web of Science ®Google Scholar
• Cheng, V.C.C, S.-C. Wong, V. Wai-Man Chuang, S. Yung-Chun so, J. Hon-Kwan Chen, S. Sridhar, K. Kai-Wang to, J. Fuk-Woo Chan, I. Fan-Ngai Hung, H. Pak-Leung, et al. 2020. The role of community-wide wearing of face mask for control of coronavirus disease 2019 (COVID-19) epidemic due to SARS-CoV-2. The Journal of Infection 81 (1):107–14. doi:10.1016/j.jinf.2020.04.024.
   PubMed Web of Science ®Google Scholar
• Din, N. U., K. Javed, S. Bae, and J. Yi. 2020. A novel GAN-based network for unmasking of masked face. IEEE Access 8:44276–87. doi:10.1109/ACCESS.2020.2977386.
   Web of Science ®Google Scholar
• Fadhil, S. A., and I. Abbas Marhoon. 2021. The efficiency of alcoholic extract of green algae chlorella sp. onleishmania major infection (in vivo). Annals of the Romanian Society for Cell Biology 25 (6):8408–20.
   Google Scholar
• Fong, S. J., N. Dey, and J. Chaki. 2021. An Introduction to COVID-19. In Artificial Intelligence for Coronavirus Outbreak, 1–22. Springer.
   Google Scholar
• Gayathri, B., T. Kumar, and V. Kumar Gunjan. 2022. Raspberry pi based crowd and facemask detection with email and message alert bt - modern approaches in machine learning & cognitive science: a walkthrough. In In, ed. V. K. Gunjan and J. M. Zurada, 369–75. Cham: Springer International Publishing. doi:10.1007/978-3-030-96634-8_35.
   Google Scholar
• Gupta, P., N. Saxena, M. Sharma, and J. Tripathi. 2018. Deep neural network for human face recognition. International Journal of Engineering and Manufacturing (IJEM) 8 (1):63–71. doi:10.5815/ijem.2018.01.06.
   Google Scholar
• İ̇lkayçınar, M. 2022. Identification of rice varieties using machine learning algorithms. Journal 28 (2):307–25.
   Google Scholar
• Kaur, G., R. Sinha, P. Kumar Tiwari, S. Kumar Yadav, P. Pandey, R. Raj, A. Vashisth, and M. Rakhra. 2021. Face mask recognition system using CNN model. Neuroscience Informatics 2 (3):100035. doi:10.1016/j.neuri.2021.100035.
   PubMedGoogle Scholar
• Koklu, M., I. Cinar, and Y. Selim Taspinar. 2022. CNN-based bi-directional and directional long-short term memory network for determination of face mask. Biomedical signal processing and control 71:103216. doi:10.1016/j.bspc.2021.103216.
   PubMed Web of Science ®Google Scholar
• Loey, M., G. Manogaran, M. Hamed N Taha, and N. Eldeen M Khalifa. 2021. A hybrid deep transfer learning model with machine learning methods for face mask detection in the Era of the COVID-19 Pandemic. Measurement 167:108288. doi:10.1016/j.measurement.2020.108288.
   PubMed Web of Science ®Google Scholar
• Matuschek, C., F. Moll, H. Fangerau, J. C. Fischer, K. Zänker, M. van Griensven, M. Schneider, D. Kindgen-Milles, W. Trudo Knoefel, A. Lichtenberg, et al. 2020. Face masks: Benefits and risks during the COVID-19 crisis. European Journal of Medical Research 25 (1):1–8. doi:10.1186/s40001-020-00430-5.
   PubMed Web of Science ®Google Scholar
• Militante, S. V., and N. V. Dionisio. 2020. “Real-time facemask recognition with alarm system using deep learning.” In 2020 11th IEEE Control and System Graduate Research Colloquium (ICSGRC), 106–10. IEEE.
   Google Scholar
• Mohd, M., M. U. Q. Abdul, K. Sasidhar, and P. Sai Krishna. 2022. Deep learning-based prediction of NCOVID-19 disease using chest X-ray images (CXRIs) BT - contactless healthcare facilitation and commodity delivery management during COVID 19 pandemic. In In, ed. M. A. Chaurasia and S. Mozar, 15–25. Singapore: Springer Singapore. doi:10.1007/978-981-16-5411-4_3.
   Google Scholar
• “No title.” n.d. https://ai.googleblog.com/2018/04/mobilenetv2-next-generation-of-on.html.
   Google Scholar
• Peng, P. W. H., D. T. Wong, D. Bevan, and M. Gardam. 2003. Infection control and anesthesia: Lessons learned from the Toronto SARS outbreak. Canadian Journal of Anesthesia 50 (10):989–97. doi:10.1007/BF03018361.
   PubMed Web of Science ®Google Scholar
• Qin, B., and D. Li. 2020. Identifying facemask-wearing condition using image super-resolution with classification network to prevent COVID-19. Sensors 20 (18):5236. doi:10.3390/s20185236.
   PubMed Web of Science ®Google Scholar
• Sanjaya, S. A., and S. Adi Rakhmawan. 2020. Face Mask Detection Using MobileNetV2 in The Era of COVID-19 Pandemic. 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), 1–5.
   Google Scholar
• Shorten, C., and T. M. Khoshgoftaar. 2019. A survey on image data augmentation for deep learning. Journal of Big Data 6 (1):1–48. doi:10.1186/s40537-019-0197-0.
   Google Scholar
• Taspinar, Y. S., M. Dogan, I. Cinar, R. Kursun, I. Ali Ozkan, and M. Koklu. 2022. Computer vision classification of dry beans (Phaseolus Vulgaris L.) based on deep transfer learning techniques. European Food Research and Technology 248 (11):2707–25. doi:10.1007/s00217-022-04080-1.
   Web of Science ®Google Scholar
• Tom, L., Y. Liu, M. Li, X. Qian, and S. Y. Dai. 2020. Mask or no mask for COVID-19: A public health and market study. PloS One 15 (8):e0237691. doi:10.1371/journal.pone.0237691.
   PubMed Web of Science ®Google Scholar
• Unal, Y., Y. Selim Taspinar, I. Cinar, R. Kursun, and M. Koklu. 2022. Application of pre-trained deep convolutional neural networks for coffee beans species detection. Food Analytical Methods 15 (12):3232–43. doi:https://doi.org/10.1007/s12161-022-02362-8.
   Web of Science ®Google Scholar
• Vaishya, R., M. Javaid, I. Haleem Khan, and A. Haleem. 2020. Artificial Intelligence (AI) applications for COVID-19 Pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 14 (4):337–39. doi:10.1016/j.dsx.2020.04.012.
   PubMed Web of Science ®Google Scholar
• Venkateswarlu, I. B., J. Kakarla, and S. Prakash. 2020. “Face mask detection using mobilenet and global pooling block.” 2020 IEEE 4th Conference on Information & Communication Technology (CICT), 2020, pp. 1–5. doi:10.1109/CICT51604.2020.9312083.
   Google Scholar
• Wang, W., Y. Li, T. Zou, X. Wang, J. You, and Y. Luo. 2020. A novel image classification approach via dense-mobilenet models. Mobile Information Systems 2020:1–8. doi:10.1155/2020/7602384.
   Web of Science ®Google Scholar
• Xiao, Y., and M. Estee Torok. 2020. Taking the right measures to control COVID-19. The Lancet Infectious Diseases 20 (5):523–24. doi:10.1016/S1473-3099(20)30152-3.
   PubMed Web of Science ®Google Scholar
• Yadav, S. 2020. Deep learning based safe social distancing and face mask detection in public areas for covid-19 safety guidelines adherence. International Journal for Research in Applied Science and Engineering Technology 8 (7):1368–75. doi:10.22214/ijraset.2020.30560.
   Google Scholar