NOVEL COVID-19 DETECTION AND DIAGNOSIS SYSTEM USING IOT BASED SMART HELMET

Authors

  • M. N. Mohammed Department of Engineering & Technology, Faculty of Information Sciences and Engineering, Management & Science University, 40100 Shah Alam, Selangor, Malaysia Author
  • Halim Syamsudin School of Graduate Studies, Management & Science University, 40100 Shah Alam, Selangor, Malaysia Author
  • S. Al- Zubaidi Department of Automated Manufacturing Engineering, Al-Khwarizmi college of Engineering, University of Baghdad, Baghdad 10071,Iraq Author
  • Sairah A. K School of Graduate Studies, Management & Science University, 40100 Shah Alam, Selangor, Malaysia Author
  • Rusyaizila Ramli Department of Media Science & Graphic, Faculty of Information Sciences and Engineering, Management & Science University, 40100 Shah Alam, Selangor, Malaysia Author
  • Eddy Yusuf Faculty of Pharmacy, Institut Teknologi dan Kesehatan Jakarta, 17411 West Java, Indonesia. Author

DOI:

https://doi.org/10.61841/kqpsgd17

Keywords:

COVID-19, Coronavirus,, IoT Technology, Smart Helmet.

Abstract

Coronavirus is the new virus that has not been identified in humans before which it causes the coronavirus disease called COVID-19. This disease was firstly discovered in Wuhan, China, on December 2019 and spread to the world until now. The virus can easily pass from person to person which make it spreaded rapidly. One of the common symptom of COVID-19 that can be easily identified is fever. Since the virus outbreak, thermal screening using infrared thermometers are used at public places to check the body temperature to identify the indicated infectee among crowd. This prevention still lacking because it spends a lot of time to check the body temperature from every person and the most importance is the close contact of the infectee might lead to spreading it to the person who do the screening process or from the one in charge of screening to the checked people. This study proposes the design of system that has capability to detect the coronavirus automatically from the thermal image with less human interactions using smart helmet with Mounted Thermal Imaging System. The thermal camera technology is integrated to the smart helmet and combined with IoT technology for monitoring of the screening process to get the real time data. In addition, the proposed system is Equipped with the facial-recognition technology, it can also display the pedestrian's personal information which can automatically take pedestrians' temperatures. This proposed design has a high in demands from the healthcare system and can potentially help to prevent for coronavirus spreading wider.

 

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References

[1] S. Singh, R. Singh, K. P. Singh, V. Singh, Y. P. Malik, B. Kamdi, R. Singh, G. Kashyap, “Immunohistochemical and molecular detection of natural cases of bovine rotavirus and coronavirus infection causing enteritis in dairy calves,” Microb. Pathog., vol. 138, no. May 2019, p. 103814, 2020.

[2] C. Xie, L. Jiang, G. Huang, H. Pu, B. Gong, H. Lin, S. Ma, X. Chen, B. Long, G. Si, H. Yu, “Comparison of different samples for 2019 novel coronavirus detection by nucleic acid amplification tests.,” Int. J. Infect. Dis., 2020.

[3] M. Shen, Y. Zhou, J. Ye, A.A. AL-maskri, Y. Kang, S. Zeng, S. Cai, “Recent advances and perspectives of nucleic acid detection for coronavirus,” J. Pharm. Anal., no. xxxx, 2020.

[4] World Health Organization, “Laboratory testing for 2019 novel coronavirus (2019-nCoV) in suspected human cases,” vol. 2019, no. January, pp. 1–7, 2020.

[5] V. Corman, I. Eckerle, T. Bleicker, A. Zaki, O. Landt, M. Eschbach-Bludau, S. van Boheemen, R. Gopal, M. Ballhause, T. Bestebroer, D. Muth, “Detection of a novel human coronavirus by real-time reverse-transcription polymerase chain reaction,” Eurosurveillance, vol. 17, no. 39, pp. 1–6, 2012.

[6] J. R. Hageman, “The Coronavirus Disease 2019 (COVID-19).,” Pediatr. Ann., vol. 49, no. 3, pp. e99–e100, 2020.

[7] Q. Li, X. Guan, P. Wu, X. Wang, L. Zhou, Y. Tong, R. Ren, K. S. Leung, E. H. Lau, J. Y. Wong, X. Xing, “Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia,” N. Engl. J. Med., pp. 20–21, 2020.

[8] Z. Y. Zu, M.D. Jiang, P. P. Xu, W. Chen, Q. Q. Ni, G. M. Lu, L. J. Zhang, “Coronavirus Disease 2019 (COVID- 19): A Perspective from China,” vol. 2019, 2019.

[9] T. P. Velavan and C. G. Meyer, “The COVID-19 epidemic,” Trop. Med. Int. Heal., vol. 25, no. 3, pp. 278–280,

2020.

[10] M. N. Mohammed, S. F. Desyansah, S. Al-Zubaidi, E. Yusuf, An internet of things-based smart homes and healthcare monitoring and management system, Journal of Physics: Conference Series 1450, 012079

[11] S. L. Fong, D. Wui Yung Chin, R. A. Abbas, A. Jamal, and F. Y. H. Ahmed, “Smart City Bus Application with QR Code: A Review,” 2019 IEEE Int. Conf. Autom. Control Intell. Syst. I2CACIS 2019 - Proc., no. June, pp. 34–39, 2019.

[12] Nur Shazwany Zamani, M.N. Mohammed, Salah Al-Zubaidi, “Design and Development of Portable Digital Microscope platform using Iot Technology,” in IEEE International Colloquium on Signal Processing & its Applications (CSPA 2020), 2020.

[13] F. Hu, D. Xie, and S. Shen, “On the application of the internet of things in the field of medical and health care,” Proc. - 2013 IEEE Int. Conf. Green Comput. Commun. IEEE Internet Things IEEE Cyber, Phys. Soc. Comput. GreenCom-iThings-CPSCom 2013, no. August 2013, pp. 2053–2058, 2013.

[14] P. Viola and M. Jones, “Rapid Object Detection using a Boosted Cascade of Simple Features,” Proc. 2001 IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognition. CVPR 2001, pp. 511–518, 2001.

[15] C. Sardianos, I. Varlamis, and G. Bouras, “Extracting user habits from google maps history logs,” Proc. 2018 IEEE/ACM Int. Conf. Adv. Soc. Networks Anal. Mining, ASONAM 2018, pp. 690–697, 2018.

[16] N. W. Ruktanonchai, C. W. Ruktanonchai, J. R. Floyd, and A. J. Tatem, “Using Google Location History data to quantify fine-scale human mobility,” Int. J. Health Geogr., vol. 17, no. 1, pp. 1–13, 2018.

[17] A. Jamal, D. D. AL Narayanasamy, N. Q. Mohd Zaki and R. A. Abbas Helmi, “Large Hall Temperature Monitoring Portal,” in 2019 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), Selangor, Malaysia, 2019, pp. 62-67.

[18] Sim Liew Fong, David Chin Wui Yung, Falah YH Ahmed, Arshad Jamal, “Smart City Bus Application with Quick Response (QR) Code Payment,” in ICSCA '19 Proceedings of the 2019 8th International Conference on Software and Computer Applications, Pages 248-252, Penang, Malaysia — February 19 - 21, 2019.

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Published

30.09.2020

How to Cite

Mohammed, M. N., Syamsudin, H., Zubaidi, S. A.-., K, S. A., Ramli, R., & Yusuf, E. (2020). NOVEL COVID-19 DETECTION AND DIAGNOSIS SYSTEM USING IOT BASED SMART HELMET. International Journal of Psychosocial Rehabilitation, 24(7), 2296-2303. https://doi.org/10.61841/kqpsgd17