双光谱智能体温检测与健康大数据管理系统

张洁茹; 苏峰; 袁培江; 王田苗; 陶一宁; 丁东

doi:10.13700/j.bh.1001-5965.2020.0063

双光谱智能体温检测与健康大数据管理系统

doi: 10.13700/j.bh.1001-5965.2020.0063

北京航空航天大学机械工程及自动化学院, 北京 100083

基金项目:

国家自然科学基金 61603015

详细信息

作者简介:
张洁茹女, 硕士研究生。主要研究方向:计算机视觉、机器学习

袁培江男, 博士, 副教授, 硕士生导师。主要研究方向:计算机视觉、机器学习、机器人

通讯作者:
袁培江, E-mail: itr@buaa.edu.cn

中图分类号: TP391.4
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- 被引次数: 0
出版历程
- 收稿日期: 2020-03-02
- 录用日期: 2020-04-03
- 网络出版日期: 2020-09-20

Dual-spectrum intelligent temperature detection and health big data management system

School of Mechanical Engineering and Automation, Beihang University, Beijing 100083, China

Funds:

National Natural Science Foundation of China 61603015

More Information

Corresponding author: YUAN Peijiang, E-mail: itr@buaa.edu.cn

摘要

摘要:
公共安全视频监控在新型冠状病毒肺炎防治攻坚战中发挥了重要作用。针对中国人口密度高、人流量大、新型冠状病毒肺炎易传播的特点，建立了融合可见光和红外光双光谱成像监控的智能体温检测与健康大数据管理系统，实现了无接触快速体温检测与佩戴口罩情况下的人脸识别，快速完成人员信息登记。系统已在多地完成部署，通过了有效性和可靠性验证，测量速度快，响应时间在30 ms以内；测量精度高，测量温度误差在±0.3℃以内；测量范围广，可监控距离0.1~10 m；人脸抓拍率99%以上，识别率95%以上；健康大数据管理系统能实时监控和追踪回溯人员流动，在多维度上对人员信息和疫情发展大数据进行统计分析，并对疫情发展动态进行建模和预测，根据分析结果完善疫情防控策略，开展精准高效的疫情防控。
- 深度学习 /
- 视频监控 /
- 双光谱 /
- 体温检测 /
- 疫情
Abstract:
Public safety video surveillance has played an important role in the battle against Corona virus disease 2019. Aimed at the characteristics of high population density, large flow of people, and the easy spread of Corona virus disease 2019 in China, an intelligent temperature detection and health big data management system combining visible and infrared dual-spectral imaging monitoring is established to achieve contactless rapid temperature detection and face recognition while wearing a mask, and to quickly complete the registration of personal information. The system has been deployed in multiple places, and has passed the verification of effectiveness and reliability. The measurement speed is fast and the response time is within 30 ms. The measurement accuracy is high and the measurement temperature error is within ±0.3℃. The measurement range is wide and the monitoring distance is 0.1-10 m. The face capture rate is over 99%, and the recognition rate is over 95%. The health big data management system can monitor and track back-to-back personnel movements in real time, perform statistical analysis on personnel information and epidemic development big data in multiple dimensions, conduct epidemic development trends modeling and prediction, improve epidemic prevention and control strategies based on the analysis results, and carry out accurate and efficient epidemic prevention and control.
- deep learning /
- video surveillance /
- dual-spectrum /
- temperature detection /
- epidemic situation

HTML全文

图 1 双光谱智能体温检测与健康大数据管理系统框架

Figure 1. Architecture of dual-spectrum intelligent temperature detection and health big data management system

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图 2 基于深度学习的双光谱体温检测与人脸识别

Figure 2. Dual-spectrum temperature detection and face recognition based on deep learning

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图 3 图像融合流程图

Figure 3. Image fusion flowchart

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图 4 监控视频分析

Figure 4. Analysis of surveillance video

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图 5 双光谱智能体温检测系统快速体温检测与人脸识别

Figure 5. Fast temperature detection and face recognition by dual-spectrum intelligent temperature detection system

下载: 全尺寸图片幻灯片

图 6 健康大数据管理系统框架

Figure 6. Architecture of health big data management system

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表 1 不同场景下的体温检测情况

Table 1. Temperature detection in different scenes

人员	系统响应时间/ms	体温测量误差/℃			戴口罩人脸识别情况
人员	系统响应时间/ms	场景1	场景2	场景3	戴口罩人脸识别情况
A	30	-0.1	0	-0.3	成功
B	20	0.1	-0.2	-0.1	成功
C	20	0.2	-0.1	-0.2	成功
D	25	0.2	-0.1	-0.1	成功
E	30	0.2	0.3	-0.2	成功
F	25	-0.2	0.2	-0.3	成功
G	20	-0.3	0	-0.2	成功

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