Temperature Convert Algorithms by Image Processing
Keywords:
Screen the patient, Temperature measurement tools, Digital image processingAbstract
From current situation of Corona virus Disease 2019 or COVID-19, it is rapidly occurring and easy to infect. Ability to screen patient from non infected ones by measuring temperature using temperature measurement tools such as infrared thermometers are quite expensive and are not widely used in many areas. Therefore, the idea is to create an instrument that could measure temperature efficiently and with low cost. To reduce the risk of spreading the disease, the application of a webcam together with digital image processing to convert RGB color images to other color spaces is used. Theoretically converting the temperature from the image used for temperature measurement in areas where temperature measurement instruments are limited can expand the area for initial screening of patients. The results will be displayed on the screen that the person's temperature is measured. In this way, it is easier to isolate patients with higher than normal temperatures.
References
[2] L. Michalski, K. Eckersdorf, and J. McGhee, “Temperature Measurement,” J. Wiley, New York, 1991.
[3] Chan, L. S., Cheung, G. T., Lauder, I. J., & Kumana, C. R. Screening for fever by
remote‐sensing infrared thermographic camera. Journal of travel medicine, 11(5), (2004). 273-279.
[4] R.G. Siddall and I.A. Mcgrath, “The Emissivity of Luminous Flames,” Nine Symposium (International) on Combustion, The combustion institute, 1963, pp. 102-110.
[5] Alsaaod, M., & Buescher, W. Detection of hoof lesions using digital infrared thermography in dairy cows. Journal of Dairy Science, 95, 2012, pp. 735-742.
[6] C. Song, P. Zeng, Z. Wang, H. Zhao, and H. Yu. Wearable continuous body temperature measurement using multiple artificial neural networks. IEEE Transactions on Industrial Informatics, 14(10):4395-4406, 2018.
[7] NA. Livanos et al. Design and interdisciplinary simulations of a hand-held device for internal-body temperature sensing using microwave radiometry. IEEE Sensors Journal, 18(6):2421-2433, 2018.
[8] Jia-Wei Lin, Ming-Hung Lu, Yuan-Hsiang Lin. A Thermal Camera Based Continuous Body Temperature Measurement System. IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 27-28 Oct. 2019.
[9] J. W. Chin, Kwan Long Wong, Tsz Tai Chan, Kristian Suhartono, Richard H Y So. An Infrared Thermography Model Enabling Remote Body Temperature Screening Up to 10 Meters. the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021, pp. 3875-3881.
[10] Haythem Rehouma, Rita Noumeir, Sandrine Essouri and Philippe Jouvet. Advancements in Methods and Camera-Based Sensors for the Quantification of Respiration. Computer Science, Medicine Sensors (Basel, Switzerland), vol. 20, issue 24, 2020, p. 7252.
[11] C. Ferrari, Lorenzo Berlincioni, M. Bertini, A. Bimbo, Inner Eye Canthus Localization for Human Body Temperature Screening. International Conference on Pattern Recognition (ICPR), 2021, pp 8833-8840.
[12] K. Goggins, Emily Tetzlaff, Wesley W. Young, A. Godwin. SARS-CoV-2 (Covid-19) workplace temperature screening: Seasonal concerns for thermal detection in northern regions. Applied Ergonomics, Volume 98, January 2022, 103576.
[13] FLIR. Lepton radiometry application note. Datasheet, 2014.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Science Technology and Innovation Journal
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
1. Every article published must be considered academic quality from 3 peers review experts per article.
2. The text or comments in this issue of science, technology and innovation journals belong to the author of the article. The journal organizers do not need to agree.
3. The editorial department of Science, Technology and Innovation Journal does not claim copy rights but provides references.
