The Design of Epidemic Prevention Robot Based on Deep Learning

L Zhang, G Li, M Wang, Y Zheng… - 2022 IEEE 5th …, 2022 - ieeexplore.ieee.org
L Zhang, G Li, M Wang, Y Zheng, L Huang, Y Chen
2022 IEEE 5th International Conference on Information Systems and …, 2022ieeexplore.ieee.org
The epidemic prevention robot designed in this paper uses the STM32F103C8T6 minimum
system as the main control chip, uses K210 as the face mask recognition module, and is
composed of a voice broadcast module, an LCD liquid crystal screen, and an infrared
temperature measurement module. When the system detects that the face is not wearing a
mask or is not wearing a mask correctly orthe human body temperature is higher than the
threshold temperature, it will issue a corresponding voice reminder. This design has been …
The epidemic prevention robot designed in this paper uses the STM32F103C8T6 minimum system as the main control chip, uses K210 as the face mask recognition module, and is composed of a voice broadcast module, an LCD liquid crystal screen, and an infrared temperature measurement module. When the system detects that the face is not wearing a mask or is not wearing a mask correctly orthe human body temperature is higher than the threshold temperature, it will issue a corresponding voice reminder. This design has been debugged many times and can meet the actual engineering requirements. The error is within a controllable range, and it has the characteristics of low cost, customizability and high recognition.
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