Face based Identification and Non - Contact Temperature Measurement System Design

Author(s):  
Enliang Wang ◽  
Yuting Yu
2015 ◽  
Vol 738-739 ◽  
pp. 746-750
Author(s):  
Fei Xue ◽  
Fu Tao Dong

In order to improve the accuracy, range and instantaneity of high temperature measurement, a CCD (Charge Coupled Device) image temperature measurement system was designed based on multi-sensor truncated mean weighed fusion. Firstly, CCD temperature measurement range was expanded by 6 light filters. Then 15 colorimetric-sensors calculated the surface temperature of experimental molten pool. Finally, the more accurate fusion estimate of temperature value was acquired by using truncated mean weighted factors. The experiment results demonstrate that system have faster processing speed in the measurement of 800°C. The errors were kept within ±2%. This method is effective in improvement of system accuracy and instantaneity.


2021 ◽  
Vol 17 (5) ◽  
pp. 155014772110181
Author(s):  
Wei-Ling Lin ◽  
Chun-Hung Hsieh ◽  
Tung-Shou Chen ◽  
Jeanne Chen ◽  
Jian-Le Lee ◽  
...  

Today, the most serious threat to global health is the continuous outbreak of respiratory diseases, which is called Coronavirus Disease 2019 (COVID-19). The outbreak of COVID-19 has brought severe challenges to public health and has attracted great attention from the research and medical communities. Most patients infected with COVID-19 will have fever. Therefore, the monitoring of body temperature has become one of the most important basis for pandemic prevention and testing. Among them, the measurement of body temperature is the most direct through the Forehead Thermometer, but the measurement speed is relatively slow. The cost of fast-checking body temperature measurement equipment, such as infrared body temperature detection and face recognition temperature machine, is too high, and it is difficult to build Disease Surveillance System (DSS). To solve the above-mentioned problems, the Intelligent pandemic prevention Temperature Measurement System (ITMS) and Pandemic Prevention situation Analysis System (PPAS) are proposed in this study. ITMS is used to detect body temperature. However, PPAS uses big data analysis techniques to prevent pandemics. In this study, the campus field is used as an example, in which ITMS and PPAS are used. In the research, Proof of Concept (PoC), Proof of Service (PoS), and Proof of Business (PoB) were carried out for the use of ITMS and PPAS in the campus area. From the verification, it can be seen that ITMS and PPAS can be successfully used in campus fields and are widely recognized by users. Through the verification of this research, it can be determined that ITMS and PPAS are indeed feasible and capable of dissemination. The ITMS and PPAS are expected to give full play to their functions during the spread of pandemics. All in all, the results of this research will provide a wide range of applied thinking for people who are committed to the development of science and technology.


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