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淮旭鸽, 庄未, 梁才航, 高兴宇, 郝卫东, 黄扬. 一种身高自适应智能体温检测系统 [J]. 桂林电子科技大学学报, 2021, 41(5): 407-413. .
引用本文: 淮旭鸽, 庄未, 梁才航, 高兴宇, 郝卫东, 黄扬. 一种身高自适应智能体温检测系统 [J]. 桂林电子科技大学学报, 2021, 41(5): 407-413. .
HUAI Xuge, ZHUANG Wei, LIANG Caihang, GAO Xingyu, HAO Weidong, HUANG Yang. A height adaptive intelligent temperature detection system [J]. Journal of Guilin University of Electronic Technology, 2021, 41(5): 407-413. .
Citation: HUAI Xuge, ZHUANG Wei, LIANG Caihang, GAO Xingyu, HAO Weidong, HUANG Yang. A height adaptive intelligent temperature detection system [J]. Journal of Guilin University of Electronic Technology, 2021, 41(5): 407-413. .

一种身高自适应智能体温检测系统

A height adaptive intelligent temperature detection system

  • 摘要: 设计了一种体温智能检测系统, 用于疫情防控期间自动采集并处理不同身高住院患者的体温参数。该系统首先设计了一个可以根据现场测量的住院患者身高数据上下调整红外测温仪高度的升降机构, 确保不同住院患者体温检测位置一致。然后, 先用身份证读取技术识别ID, 再用面部和手指信息读取技术识别双重人体特征, 进行人证合一匹配判断, 以确保住院患者身份的真实有效。最后, 采用环境温度和距离补偿技术提高测量精度, 实现对住院患者体温数据的采集和处理。该系统可以满足疫情期间对不同身高住院患者自动化体温检测并分流的需求。在疫情防控期间使用此系统可以有效减轻医护人员的体温检测工作量, 并有效降低相关人员感染病毒的风险。

     

    Abstract: An intelligent body temperature detection system was developed to automatically collect and process the body temperature parameters of hospitalized patients with different heights during the epidemic prevention and control period. The system first uses a lifting mechanism to adjust the height of the infrared thermometer according to the height data of the inpatients measured on the spot, so as to ensure that the body temperature detection positions of the inpatients are consistent. Then, the ID card reading technology is used to identify the ID, and then the facial and finger information recognition technology is used to identify the dual-person characteristics, so as carry out the matching judgment of person and the card to ensure the authenticity and validity of the identity of the inpatients. Finally, environmental temperature compensation and distance compensation measures are taken to improve the measurement accuracy, and the body temperature data are collected and processed. The system can accurately identify the identity of the people to be tested and effectively meet the needs of automatic non-contact temperature detection and diversion for people with different height during the epidemic. During the epidemic prevention and control period, the use of this system can effectively reduce the temperature testing workload of medical staff and reduce the risk of virus infection of related personnel.

     

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