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Software Design Of Human Infrared Imaging Temperature Measurement

Posted on:2019-03-06Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiFull Text:PDF
GTID:2428330563493320Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
Objects above absolute zero are radiating infrared light.An Infrared thermal imager is an instrument that detects infrared radiation from an object and converts it into an image for analysis and display.The surface temperature can be determined by analyzing the infrared image of the object.This article has developed an android APP for infrared human temperature measurement and sleep monitoring.Android software uses android studio as a development tool.As a client,the android APP communicates with the server through the WIFI module.the software realizes real-time display of images,real-time analysis of scene temperature,sleep kicking quilt detection and alarm,human body temperature monitoring,and human body motion monitoring.This article analyzes the thermal imager temperature measurement principle,calibrates the thermal imager within the body temperature range,and obtains a linear temperature measurement formula.For the effect of the temperature measurement distance and the internal temperature of the thermal imager,a linear function is used to approximate,and a corrected linear temperature measurement formula is obtained.The software receives infrared images transmitted by the server in real time based on the TCP Socket.With the SOAP protocol,software can invoke server-provided web services to change the state of the server.We use the platform histogram equalization algorithm with upper and lower bounds to achieve AGC transformation of 14-bit image to 8-bit gray image.Using pseudo-color coding,the 8-bit gray image is converted to a 24-bit color image,which improves the display effect of the infrared image.We have implemented threshold segmentation algorithms such as OTSU and maximum entropy in software.Based on the threshold segmentation algorithm,The quilt detection algorithm employs two measures: the proportion of the human area and the average gray level of the foreground.Body temperature monitoring is to take the first 20% of the human body area as the skin area.In addition,we use the frame difference method to calculate the magnitude of human motion.
Keywords/Search Tags:Infrared radiation, Android, Infrared image processing, Temperature analysis
PDF Full Text Request
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