Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol 11, Issue 08, August 2024

Call for Paper

Vol 11, Issue 08, August 2024

Indexing

Intelligent Barrier for Face Mask and Body Temperature Detection

Author : Ranjan V 1 Aishwarya Jyothi M P 2 Shamaa M 3 Vaishnavi A N 4 Smruthi B S 5

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Date of Publication :9th June 2022

Abstract: Corona virus is the most recently discovered causing deadly disease COVID-19. Situations in present world is getting worst because of new variants evolving day by day. It affects economically as well as socially causing great threat to human lives to peril. COVID-19 pandemic caused the entire globe to force for lockdowns in sequence to forestall proliferation of corona virus. A proper face mask and monitoring body temperature can help the authorities to notice people who are at the high risk of infection and prevents security guards getting infected. Omicron virus contamination gives rise to a great threat in the society regardless of age. According to the survey conducted, wearing mask can avert the proliferation of covid-19. Wearing mask is made mandatory everywhere especially in public places. WHO declared that high temperature is one of the symptom of variant. Here we can avoid the person without mask and having high temperature. Face mask detection is achieved using CNN technology specifically MobilenetV2 and temperature of a person is detected using MLX90614 IR temperature sensor and by making use of servo motor barrier movement can take place. Generally, gate remains open, only when having high risk of temperature and not having mask it closes and buzzer. The main goal is to prevent the society from deadly virus infection and making life easier

Reference :

    1. Lin, Y.-H., Liu, C.-H., Chiu, Y.-C, “Google searches for the keywords of “wash hands” predict the speed of national spread of COVID-19 outbreak among 21 countries. Brain, Behavior, and Immunity”, 2020.
    2. Murray, O. M., Bisset, J. M., Gilligan, P. J., Hannan, M. M., Murray, J. G., “Respirators and surgical facemasks for COVID19: implications for MRI. Clinical Radiology, 75(6), 405–407. https://doi.org/10.1016/j.crad.2020.03.029, 2020.
    3. Fadare, O. O., Okoffo, E. D. “Covid-19 face masks: A potential source of microplastic fibers in the environment”. Science of the Total Environment, 737, 140279, 2020.
    4. P. Subramani, G.B. Rajendran, J. Sengupta, R. Perez de Prado, P.B. ´ Divakarachari, A block bi-diagonalization-based pre-coding for indoor multiple-input-multiple-output-visible light communication system, Energies 13 (13) (2020) 3466.
    5. V. Vinitha., V. Velantina., COVID-19 facemask detection with deep learning and computer vision, Int. Res. J. Eng. Technol. (IRJET) Volume: 07 (2020) Issue: 08 Aug.
    6. Feng, S., Shen, C., Xia, N., Song, W., Fan, M., Cowling, B. J., “Rational use of face masks in the COVID-19 pandemic”. The Lancet Respiratory Medicine, 8(5), 434–436, 2020.
    7. Wilder-Smith, A., Freedman, D. O., “Isolation, quarantine, social distancing and community containment: pivotal role for oldstyle public health measures in the novel coronavirus (2019-nCoV) outbreak”. Journal of Travel Medicine, 27(2)-2020 
    8. Setiati, S., Azwar, M. K., “COVID-19 and Indonesia”. Acta Medica Indonesiana, 52(1), 84–89, 2020.
    9. Loey, M., Manogaran, G., Taha, M. H. N., Khalifa, N. E. M. “A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic”. Measurement: Journal of the International Measurement Confederation, 2020, doi: 10.1016/j.measurement.2020.108288.
    10. Ejaz, M. S., Islam, M. R., Sifatullah, M., Sarker, A., “Implementation of Principal Component Analysis on Masked and Nonmasked Face Recognition”. 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), 1–5. 
    11. Qin, B., Li, D. “Identifying Facemask-wearing Condition Using Image Super-Resolution with Classification Network to Prevent COVID-19”, 2020.
    12. Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., Chen, L. C. “Mobilenetv2: The next generation of on-device computer vision networks. URL Https://Ai. Googleblog. Com/2018/04/Mobilenetv2- next Generation-of-on. 2020.
    13. K. Simonyan and A. Zisserman, “Very deep convolutional networks for large-scale image recognition,” CoRR, vol. abs/1409.1556, 2014.
    14. Thakre, A., Hande, P., Pounikar, A., Dabre, J., Yadav, V. (2021). Face Mask Detection and Sanitizer Despenser with Temperature Detection.
    15. Varshini, B., Yogesh, H. R., Pasha, S. D., Suhail, M., Madhumitha, V., Sasi, A. (2021). IoT-Enabled smart doors for monitoring body temperature and face mask detection. Global Transitions Proceedings, 2(2), 246-254.
    16. ccMilitante, S. V., Dionisio, N. V. (2020, October). Deep Learning Implementation of Facemask and Physical Distancing Detection with Alarm Systems. In 2020 Third International Conference on Vocational Education and Electrical Engineering (ICVEE) (pp. 1-5). IEEE.
    17. Rajendrakumar, S. and Parvati, V.K., 2019, January. Automation of irrigation system through embedded computing technology. In Proceedings of the 3rd International Conference on Cryptography, Security and Privacy (pp. 289-293).
    18. Vadivel, S., Konda, S., Balmuri, K.R., Stateczny, A. and Parameshachari, B.D., 2021. Dynamic Route Discovery Using Modified Grasshopper Optimization Algorithm in Wireless Ad-Hoc Visible Light Communication Network. Electronics, 10(10), p.1176.
    19. Yu. Chen, H. Zhang and NA. Wang, “Body Temperature and Alarm System Used in Hospital-Based on 1- wire and Wireless Communication Technology”, 2008 International Workshop on Education and Training 2008 International Workshop on Geoscience and Remote Sensing, pp. 401-404, 2008.
    20. L. Tang and H. Kiourmars, Wireless Network for Health Monitoring Heart Rate and Temperature Sensor”, DOI: 10.1109/ICSensT.2011.6137000.
    21. L. Tang and H. Kiourmars, Wireless Network for Health Monitoring Heart Rate and Temperature Sensor”, DOI: 10.1109/ICSensT.2011.6137000.
    22. Naeem, M.A., Nguyen, T.N., Ali, R., Cengiz, K., Meng, Y. and Khurshaid, T., 2021. Hybrid Cache Management in IoT-based Named Data Networking. IEEE Internet of Things Journal
    23. Chu, S.I., Wu, C.L., Nguyen, T.N. and Liu, B.H., 2021. Polynomial Computation Using Unipolar Stochastic Logic and Correlation Technique. IEEE Transactions on Computers.
    24. Y. Sun, J. Liu, K. Yu, M. Alazab, K. Lin, “PMRSS: Privacy preserving Medical Record Searching Scheme for Intelligent Diagnosis in IoT Healthcare”, IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2021.3070544.
    25. F.H. Yahaya and Y. M. Yusoff H.Z. Abidin R.A. Rahman; ”Development of a PIC-based wireless Sensor node utilizing XBEE Technology”; IEEE International Conference on Information Management and Engineering 2010.
    26. Ritwik Biswas, Avijit Roy, 2020, Real-Time Temperature Graph using MATLAB and Arduino, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH TECHNOLOGY (IJERT) Volume 09, Issue 05 (May2020).https://www.ijert.org/realtimetemperature-graphusing matlab-and-arduino.
    27. Carlo Alberto Boano Matteo Lasagni Kay Romer Tanja Lange. ”Accurate Temperature Measurements for Medical Research using Body Sensor Networks”.
    28. N. Ozkaya, S. Sagiroglu “Intelligent face Mask Prediction System”. 2008, IEEE International Joint Conference on Neural Networks.
    29. Gayatri Deora, Ramakrishna Godhula and Dr. Vishwas Udpikar “Study of Masked Face Detection Approach in Video Analytics”. 2016, IEEE Conference on Advances in Signal Processing.
    30. A. Sharma, S. Tiwari, M. K. Deb, and J. L. Marty, “Severe acute respiratory syndrome coronavirus-2 (SARS-COV-2): A global pandemic and treatment strategies,” Int. J. Antimicrob. Agents, vol. 56, no. 2, 2020, Art. no. 106054.
    31. Coronavirus disease (Covid 19): situation report, 165,” World Health Org., Geneva, Switzerland 2020.
    32. M. U. Kraemer et al., “The effect of human mobility and control measures on the covid-19 epidemic in china,” Science, vol. 368, no. 6490, pp. 493–497, 2020.
    33. S. Feng, C. Shen, N. Xia, W. Song, M. Fan, and B. J. Cowling, “Rational use of face masks in the covid-19 pandemic,” The Lancet Respiratory Medicine, vol. 8, no. 5, pp. 434–436, 2020.
    34. Z. Ning et al., “Partial computation offloading and adaptive task scheduling for 5g-enabled vehicular networks,” IEEE Trans. Mobile Comput., early access, Sep. 18, 2020, doi: 10.1109/TMC.2020.3025116.
    35. X. Kong, X. Liu, B. Jedari, M. Li, L. Wan, and F. Xia, “Mobile crowdsourcing in smart cities: Technologies, applications, and future challenges,” IEEE Internet Things J., vol. 6, no. 5, pp. 8095–8113, Oct. 2019.
    36. D. Chen, P. Bovornkeeratiroj, D. E. Irwin, and P. J. Shenoy, “Private memoirs of iot devices: Safeguarding user privacy in the iot era,” in Proc. IEEE 38th Int. Conf. Distrib. Comput. Syst. (ICDCS), 2018, pp. 1327–1336.
    37. Z. Ning, S. Sun, X. Wang, L. Guo, G. Wang, X. Gao, and R. Y. Kwok, “Intelligent resource allocation in mobile blockchain for privacy and security transactions: A deep reinforcement learning based approach,” Sci. China Inf. Sci., 2020
    38. A. Gatouillat, Y. Badr, B. Massot, and E. Sejdic, “Internet of Medical Things: A review of recent contributions dealing with cyberphysical systems in medicine,” IEEE Internet Things J., vol. 5, no. 5, pp. 3810–3822, Oct. 2018.
    39. X. Zhou, W. Liang, K.-I. Wang, H. Wang, L. T. Yang, and Q. Jin, “Deep learning enhanced human activity recognition for Internet of Healthcare Things,” IEEE Internet Things J., vol. 7, no. 7, pp. 6429–6438, Jul. 2020.
    40. F. Al-Turjman, M. H. Nawaz, and U. D. Ulusar, “Intelligence in the Internet of Medical Things era: A systematic review of current and future trends,” Comput. Commun, vol. 150, pp. 644–660, Jan. 2020.
    41. S. Yang, Y. Xiong, C. C. Loy, and X. Tang, “Face detection through scale-friendly deep convolutional networks,” 2017, arXiv:1706.02863.
    42. I. V. Pustokhina, D. A. Pustokhin, D. Gupta, A. Khanna, K. Shankar, and G. N. Nguyen, “An effective training scheme for deep neural network in edge computing enabled Internet of Medical Things (IoMT) systems,” IEEE Access, vol. 8, pp. 107112–107123, 2020

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