摘要
Abstract
This paper aims to design and implement a face recognition non-contact temperature measurement system based on STM32 microcontroller and K210 development board,in order to address the inefficiencies and inaccuracies of traditional temperature measurement methods,while improving the convenience and safety of temperature measurement.The system is controlled by the STM32 microcontroller,combined with the K210 development board for face and mask recognition.An infrared temperature sensor is used for non-contact measurement of human body temperature,and artificial intelligence technology is used to improve recognition accuracy.The detailed workflow includes image acquisition,preprocessing,feature extraction,matching and recognition,as well as temperature measurement.Experimental results show that the system can achieve fast and accurate face and mask recognition,and exhibit good stability and accuracy in non-contact temperature measurement.Its performance is excellent in various test scenarios,showing a wide range of application prospects in face recognition and temperature measurement.The face recognition non-contact temperature measurement system designed and implemented in this paper has high practical value and a wide range of applications.In the future,the system can be further applied to temperature measurement management in public places,medical diagnosis,security monitoring,and other fields,providing strong support for research and practice in related fields.At the same time,continuous optimization of algorithms and improvement of hardware performance are needed to cope with more complex application scenarios and higher recognition requirements.关键词
人脸口罩识别/非接触式测温/K210/STM32/系统设计Key words
face and mask recognition/non-contact temperature measurement/K210/STM32/system design分类
信息技术与安全科学
