多目标红外测温系统设计与实现  

Design and Implementation of Multi-target Infrared Thermal Imaging Temperature Measurement System

作　　者：童耀南 曹志奇 杨海涛 陈振光 TONG Yaonan;CAO Zhiqi;YANG Haitao;CHEN Zhenguang(School of Information Science and Engineering,Hunan University of Technology,Hunan 414006,China;Key Laboratory of Complex Networks and Embedded Systems in Hunan,Hunan 414006,China;Dongguan Zhenhai Electronic Technology Co.,Ltd.,Guangdong 523000,China)

机构地区：[1]湖南理工学院信息科学与工程学院,湖南414006 [2]复杂网络与嵌入式系统湖南省高校重点实验室,湖南414006 [3]东莞市振海电子科技有限公司,广东523000

出　　处：《电子技术（上海）》2023年第12期1-3,共3页Electronic Technology

基　　金：湖南省重点实验室(2019TP1014);湖南省教育厅重点科研项目(21A0403,21A0405);湖南省研究生科研创新项目(QL20210255)。

摘　　要：阐述具有多目标测温补偿的测温系统的设计,系统通过AdaBoost人脸识别算法对采集的可见光图像进行目标实时检测,然后利用SIFT算法对目标进行特征提取和图像匹配,计算出目标距离信息,最后利用实验数据建立温度补偿模型,通过距离信息计算出补偿温度。实验结果表明该系统在3m距离内的温度测量误差小于±0.3℃,实现多目标远距离情况下的高精度温度测量。This paper describes the design of a set of multi-target temperature measurement compensation by combining computer image vision algorithm and infrared dot matrix sensing temperature measurement technology.Temperature measurement system.The system uses the AdaBoost face recognition algorithm to perform real-time target detection on the collected visible light images,then uses the SIFT algorithm to extract features and image matching for the target,and calculates the target distance information,and finally uses the experimental data to establish a temperature compensation model.out compensation temperature.The experimental results show that the temperature measurement error of the system within a distance of 3 meters is less than±0.3℃,which realizes high-precision temperature measurement in the case of multi-target long-distance.

关 键 词：电路设计 红外测温 温度补偿 距离测量 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]