多技术融合的大流量智能测温系统设计与实现 |
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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. |
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作者姓名: | 赵耀 |
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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 |
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基金项目: | 中国铁路设计集团有限公司科技开发课题(2020YY240802) |
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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。
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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 |
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Institution: | Electrification & Telegraphy Engineering Design Research Department, China Railway Design Corporation, Tianjin 300308, China |
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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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