Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)

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Automated Laboratory Solution on Cloud Computing Technology for a Pandemic Situation

Authors
K. Stella1, *, S. Hemajothi1, V. R. Ravi1, Thaneeru Sasikanth1, Dasari Tharun Teja1, Nuvvuru Vinay1
1Department of Electronics and Communication Engineering, VelTech HighTech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, Tamil Nadu, India
*Corresponding author. Email: drkstella@velhightech.com
Corresponding Author
K. Stella
Available Online 4 October 2024.
DOI
10.2991/978-94-6463-529-4_15How to use a DOI?
Keywords
Covid testing; Cloud computing; Laboratory method; IoT; Cloud server; Raspberry pi; RFID
Abstract

Testing for COVID is necessary for the battle against the pandemic, especially considering the most recent outbreak. Testing for COVID is carried out in enclosures that provide a safe setting for the operation. Due to the enormous number of samples brought in for testing, this is a time-consuming process involving numerous manual processes and is susceptible to human mistakes. As a result, the system uses the Internet of Things (IoT) to offer a solution that automates around 70% of the work that people perform to enter data and offers a quick and single-point COVID testing method. An operating circuit and a controller power our RFID and speaker combination system. A keypad and buttons on the controller serve as the system’s interface with the test participant. The system completely separates the testing patient from the viewer, making the procedure quick and error-free by streamlining the enrolment process. There is no need for further registration because the system has an RFID tag and reader for quick Aadhaar card scan registration. Using the given keypad, the test person inputs the individual’s specimen from within the booth.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)
Series
Advances in Engineering Research
Publication Date
4 October 2024
ISBN
978-94-6463-529-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-529-4_15How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - K. Stella
AU  - S. Hemajothi
AU  - V. R. Ravi
AU  - Thaneeru Sasikanth
AU  - Dasari Tharun Teja
AU  - Nuvvuru Vinay
PY  - 2024
DA  - 2024/10/04
TI  - Automated Laboratory Solution on Cloud Computing Technology for a Pandemic Situation
BT  - Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)
PB  - Atlantis Press
SP  - 157
EP  - 167
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-529-4_15
DO  - 10.2991/978-94-6463-529-4_15
ID  - Stella2024
ER  -