基于移动目标检测的非接触式环境自适应人体测温仪设计

Design of non-contact environment adaptive human body thermometer based on moving target detection

摘要:

在新冠状病毒还未完全控制的情况下,公共场所必须筛选出发热或者未戴口罩的人员,以防止聚集发病。目前常采用的测温方式大都采用手持测温枪或热成像体温检测仪进行测温。在检测过程中,前者需要人员手持设备进行测温,而后者测温仪受环境温度、光照等条件变化的影响较大。利用点阵式红外成像模块结合树莓派,基于移动目标检测的红外测温算法设计了一种能够自动测量人体温度、受环境影响小的非接触式测温仪。同时配备口罩检测功能,用于室外或室内,针对人员进行测温和口罩检测。在设计过程中,需要考虑到测量距离、环境温度、目标温度等方面对结果的影响,极大程度的保障了测温准确度,提高了测温速度。

Abstract:

When the new coronavirus has not yet been fully controlled, public places must screen people who have a fever or who do not wear a mask to prevent clusters and illnesses. Currently, most commonly used temperature measurement methods use handheld thermometers or thermal imaging body temperature detectors for temperature measurement. In the detection process, the former requires personnel to hold the device for temperature measurement, while the latter thermometer is greatly affected by changes in environmental temperature, light and other conditions. Using dot matrix infrared imaging module combined with Raspberry Pi, based on the infrared temperature measurement algorithm of moving target detection, a non-contact thermometer that can automatically measure human body temperature and is less affected by the environment is designed. At the same time, it is equipped with mask detection function, which can be used outdoors or indoors to conduct temperature measurement and mask detection for personnel. In the design process, it is necessary to consider the influence of measurement distance, ambient temperature, target temperature, etc. on the results, which greatly guarantees the accuracy of temperature measurement and improves the speed of temperature measurement.