Contactless COVID-19 vaccine verification system

S. Suruthi; M Shivaani; M Swetha

doi:10.53730/ijhs.v6nS4.9096

Authors

S. Suruthi
suruthi.s@eec.srmrmp.edu.in
Assistant Professor / ECE Easwari Engineering College
Shivaani M Electronics and Communication Department Easwari Engineering College
Swetha M Electronics and Communication Department Easwari Engineering College

Keywords:

COVID-19, embedded technology, image acquisition, vaccine validation, wireless communication

Abstract

The novel Corona virus has created maximum impact to the society with growing challenges as a result of its new evaluation. The development of new strategic plans or initiated to safeguard the people from global pandemic were wearing Mask in public places sanitization or employed to have maximum protection. Various modifications or derived in public places to avoid contact with each other physically. The proposed studies focus on the driving a Roberts to model for contact us communication is established. The proposed approach utilised Embedded Technology enabled vaccinated people verification is done. Proposed design is identified as an advance people identification system using advance to computing techniques with Raspberry Pi 4. The benefit of reconfigurable embedded technology offers low cost and reliable hardware used to make customized consumer products. The proposed system can be placed in public places to validate the people entry. Automated systems are highly reliable in long term accessibility. The system can be installed anywhere easily using a small camera object and display insertion

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References

A. Mandalapu, D. Deepa, L. Raj and A Dev, “An NFC featured three level authentication system for tenable transaction and abridgment of ATM card blocking intricacies”, 2015 International Conference and Workshop on Computing and Communication (IEMCON), Vancouver, Canada, October 15–17, 2015, IEEE Xplore.

A. Meschtscherjakov, M. Tscheligi, C. Gschwendtner and P. Sundström, “Co-Designing for NFC and ATMs: An Inspirational Bits Approach”, 15th International Conference on Human-Computer Interaction with Mobile Devices and Services”, Munich, Germany, August 27 - 30, 2013, ACM.

H. Lee, W.C. Hong, C.H. Kao and C.M. Cheng, “A User-Friendly Authentication Solution Using NFC Card Emulation on Android”, 7th International Conference on Service-Oriented Computing and Applications, Matsue, Japan, November 17–19, 2014, IEEE Xplore.

R.M. Ranasinghe and G.Z. Yu, “RFID/NFC device with embedded fingerprint authentication system”, 8th IEEE International Conference on Software Engineering and Service Science (ICSESS), Beijing, China, November 24-26, 2017, IEEE Xplore.

S. Sridharan and K. Malladi, “New Generation ATM Terminal Services”, International Conference on Computer Communication and Informatics (ICCCI -2016), Coimbatore, India, January 7-9, 2016, IEEE Xplore. Innovative Technologies (ISMSIT), 2021, pp. 467-472, doi: 10.1109/ISMSIT52890.2021.9604698.

V. Coskun, B. Ozdenizci and K. Ok, “A Survey on Near Field Communication (NFC) Technology”, International Journal of Wireless Personal Communications, Springer, vol 71(3), pp. 2259-2294, August, 2013.

Y. Li, J. Cheng and X. Wang, "An Optophone Based on Raspberry Pi and Android Wireless Communication," 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications( AEECA), 2020, pp. 952-956, doi: 10.1109/AEECA49918.2020.9213587.

Z. Ozkan, E. Bayhan, M. Namdar and A. Basgumus, "Object Detection and Recognition of Unmanned Aerial Vehicles Using Raspberry Pi Platform," 2021 5th International Symposium on Multidisciplinary Studies and

A. M. Abd-Elrahim, A. Abu-Assal, A. A. A. -A. Mohammad, A. -I. M. Al-Imam, A. -H. A. Hassan and M. -A. M. Muhi-Aldeen, "Design and Implementation of Raspberry Pi based Cell phone," 2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), 2021, pp. 1-6, doi: 10.1109/ICCCEEE49695.2021.9429601.

M. T. Islam, M. Ahmad and A. S. Bappy, "Real-Time Family Member Recognition Using Raspberry Pi for Visually Impaired People," 2020 IEEE Region 10 Symposium (TENSYMP), 2020, pp. 78-81, doi: 10.1109/TENSYMP50017.2020.9230937

V. Sandeep, K. L. Gopal, S. Naveen, A. Amudhan and L. S. Kumar, "Globally accessible machine automation using Raspberry pi based on Internet of Things," 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2015, pp. 1144-1147, doi: 10.1109/ICACCI.2015.7275764.

S. Mishra, A. Jain, S. Kumar and A. Goyal, “Enhanced ATM security system using GSM, GPS and Biometrics”, IJETR, vol. 7, issue. 8, pp. 34-35, August 2017.

A.M. Jaiswal, M. Bartere, “Enhancing ATM security using Fingerprint and GSM technology”, IJCSMC, vol. 3, issue. 4, pp. 28- 32, April 2014.

A. Hatekar, H. Babani, T. Kakde, N. Wadhwa, “Fingerprint based security system using GSM module”, Int. Journal of Engineering Research and Application, vol. 7, issue. 5 (part 2), pp. 31-34.

Sivakumar T, G. Askok, K.Sai Venuprathap, “Design and implementation of security based ATM theft monitoring system”, International Journal of Engineering Invensions, vol. 3, issue. 1, pp. 01-07, August 2013.

S. Lim, K. Lee, O. Byeon and T. Kim, “Efficient iris recognition system by optimization of feature vectors and classifier”, Etri Journal.

V Soffel, “Asynchronous interfaces overview: UART and LIN bus”, MicroController Pros Corporation, May 12, 2003.

Suryasa, I. W., Rodríguez-Gámez, M., & Koldoris, T. (2021). The COVID-19 pandemic. International Journal of Health Sciences, 5(2), vi-ix. https://doi.org/10.53730/ijhs.v5n2.2937

Suryasa, I. W., Rodríguez-Gámez, M., & Koldoris, T. (2022). Post-pandemic health and its sustainability: Educational situation. International Journal of Health Sciences, 6(1), i-v. https://doi.org/10.53730/ijhs.v6n1.5949

Akbarov, A. N., & Xabilov, D. N. U. (2021). The condition of the oral cavity in patients who have had a viral infection COVID-19. International Journal of Health & Medical Sciences, 4(4), 381-383. https://doi.org/10.21744/ijhms.v4n4.1796

.