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多技术融合的大流量智能测温系统设计与实现
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.
作者姓名:赵耀
作者单位:中国铁路设计集团有限公司 电化电信工程设计研究院,天津 300308
基金项目:中国铁路设计集团有限公司科技开发课题(2020YY240802)
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。

关 键 词:人像检测  人员跟踪  轨迹跟踪  红外热成像  智能测温
收稿时间:2021-03-12

Large flow intelligent temperature measurement system based on multi technology integration
Institution:Electrification & Telegraphy Engineering Design Research Department, China Railway Design Corporation, Tianjin 300308, China
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.
Keywords:
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