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赵耀. 多技术融合的大流量智能测温系统设计与实现[J]. 铁路计算机应用, 2021, 30(9): 31-34. DOI: 10.3969/j.issn.1005-8451.2021.09.07
引用本文: 赵耀. 多技术融合的大流量智能测温系统设计与实现[J]. 铁路计算机应用, 2021, 30(9): 31-34. DOI: 10.3969/j.issn.1005-8451.2021.09.07
ZHAO Yao. Large flow intelligent temperature measurement system based on multi technology integration[J]. Railway Computer Application, 2021, 30(9): 31-34. DOI: 10.3969/j.issn.1005-8451.2021.09.07
Citation: ZHAO Yao. Large flow intelligent temperature measurement system based on multi technology integration[J]. Railway Computer Application, 2021, 30(9): 31-34. DOI: 10.3969/j.issn.1005-8451.2021.09.07

多技术融合的大流量智能测温系统设计与实现

Large flow intelligent temperature measurement system based on multi technology integration

  • 摘要: 针对传统非接触式测温技术存在的测温效率低、测温数据不准、漏检率高等问题,提出了一种基于人像检测、人员跟踪、红外热成像等多技术融合的大流量智能测温系统。该系统通过人像检测技术获取人脸信息;通过人员跟踪技术连续跟踪人体并准确定位人脸及额头位置;通过红外热成像技术获取人脸温度,将测温数据与人脸信息关联,实现精准测温。

     

    Abstract: According to the problems of temperature measurement low efficiency, inaccurate temperature measurement and high missed detection rate of traditional non-contact temperature measurement technology, this paper presented a large flow intelligent temperature measurement system based on the fusion of portrait detection, personnel tracking and infrared thermal imaging. The system obtained face information through portrait detection technology; continuously tracked human body and accurately locate the position of face and forehead through personnel tracking technology; obtained the face temperature by infrared thermal imaging technology, and associated the temperature measurement data with the face information, achieved accurate temperature measurement.

     

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