| Issue |
E3S Web Conf.
Volume 252, 2021
2021 International Conference on Power Grid System and Green Energy (PGSGE 2021)
|
|
|---|---|---|
| Article Number | 01048 | |
| Number of page(s) | 4 | |
| Section | Power Control Technology and Smart Grid Application | |
| DOI | https://doi.org/10.1051/e3sconf/202125201048 | |
| Published online | 23 April 2021 | |
Temperature measurement and identity detection system based on multiple embedded control units and LBP detection algorithm
1 Automation, Wuhan University of Technology, Wuhan, Hubei, 430070, China
2 Automation, Wuhan University of Technology, Wuhan, Hubei, 430070, China
3 Automation, Wuhan University of Technology, Wuhan, Hubei, 430070, China
* Corresponding author’s e-mail: 290093@whut.edu.cn
This paper designs a simple non-contact temperature measurement and identity recognition device based on multiple embedded control systems and feature recognition algorithms. The device can achieve multiple functions such as non-contact temperature measurement, face recognition, mask recognition, and smart alarm. The system consists of three parts: main control, interactive system and detection system: the main control selects STM32F407VGT6 to process the data returned by multiple sensors and realize the mutual communication of each system; the interactive system uses the HMI serial touch screen to realize the visualization of data and human Machine operation function; the detection system is equipped with MLX90614 temperature detection module and OpenMV4 machine vision module to realize functions such as temperature detection, face recognition and mask recognition[1]. In addition, in order to ensure the accuracy and stability of the detection results, this article specifically designs temperature data filtering and compensation algorithms, LBP feature detection algorithms and other intelligent algorithms. Through experiments, the accuracy of this device to detect 28°C-48°C is within 0.8°C, and the accuracy of identifying faces and masks is above 98%.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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