Design and Implementation of Raspberry Pi Face Recognition + Thermal Imaging Temperature Measurement and Body Temperature Data Cloud Processing System_Vol. 1 No. 3 (JBDC 2023)_Journal of Big Data and Computing (ISSN: 2959-0590)

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Design and Implementation of Raspberry Pi Face Recognition + Thermal Imaging Temperature Measurement and Body Temperature Data Cloud Processing System

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DOI: https://doi.org/10.62517/jbdc.202301305

Author(s)

Yanlin Zhou1,*, Tingting Xu2

Affiliation(s)

1Department of Computer Science and engineering, Shandong First Medical University, Qingdao, Shandong, China 2School of Computer Engineering, Shandong First Medical University, Jinan, Shandong, China *Corresponding Author.

Abstract

For temperature measurement in public places, this paper proposes and realizes a Raspberry Pi face recognition + thermal imaging temperature measurement and temperature data cloud processing system. This system uses a Raspberry Pi device as the temperature measurement terminal, connects the MLX90640 thermal imaging sensor and the BME280 environmental sensor for data collection, and calculates the core temperature of the human body from the collected data. The temperature measurement terminal uses Python language with OpenCV library for image processing, Alibaba Cloud API for face recognition, and the server side uses Python language with Django library for development. The system can quickly measure temperature and count the temperature measurement list, and view it in the cloud in real time to improve management efficiency.

Keywords

Temperature Measurement in Public Places; Raspberry Pi; Thermal Imaging Temperature Measurement; Face Recognition; Data Processing

References

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