Increasing Sensitivity of pH Detection Using Computer Vision Based Biosensors

DOI

10.2991/ahe.k.210205.067How to use a DOI?

Keywords

Increasing Sensitivity, pH, Computer Vision, Biosensors

Abstract

This study presents an increase in pH detection sensitivity using computer vision based biosensors. Butterfly pea flower is used as a biosensor to detect pH. Computer vision uses Raspberry Pi 4, camera, and LCD. To increase the sensitivity of biosensor and computer vision, 2 ways will be used. First, increase the similarity color sensitivity of the biosensor by utilizing the extraction composition. The second is to increase the sensitivity of computer vision accuracy in taking biosensor images using computer vision hardware that is printed using 3D material which is designed in a closed manner so that light from outside does not enter. Lighting is taken from a LED light that is placed close to the camera. The results of this study, the color sensitivity of the biosensor increased when using 3 drops of biosensor extract, and biosensor images could be taken using computer vision as well. while using computer vision hardware the sensitivity increased by 13.6% compared to without using computer vision hardware.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sujito
AU  - Faiz Syaikhoni Aziz
AU  - Aji Prasetya Wibawa
AU  - I Made Wirawan
AU  - Aripriharta
AU  - Abdullah Iskandar Syah
AU  - Tran Huy Duy
PY  - 2021
DA  - 2021/02/09
TI  - Increasing Sensitivity of pH Detection Using Computer Vision Based Biosensors
BT  - Proceedings of the 4th Forum in Research, Science, and Technology (FIRST-T1-T2-2020)
PB  - Atlantis Press
SP  - 401
EP  - 405
SN  - 2589-4943
UR  - https://doi.org/10.2991/ahe.k.210205.067
DO  - 10.2991/ahe.k.210205.067
ID  - 2021
ER  -