Implementation Of Infrared Temperature Measurement System Based On Face Recognition

After the outbreak of COVID-19 epidemic,with the orderly resumption of work and production of enterprises,it is necessary to conduct temperature measurement and screening of personnel entering and leaving public areas to prevent the spread of the epidemic.Traditional handheld temperature measurement equipment requires close contact,which is dangerous for epidemic prevention and temperature measurement personnel,and there are serveral shortcomings such as taking long time,inaccurate temperature data,and low efficiency.In order to achieve the goal of fast temperature measurement,this paper uses a combination of face recognition technology and infrared temperature measurement technology to achieve the goal of fast and wide range temperature measurement.As we all know that all objects above absolute zero in nature are emitting infrared radiation,and the wavelength and intensity of its radiation are related to the temperature of the object.The principle of infrared temperature measurement is to use this feature to measure the temperature of objects.We can obtain high-definition video data and infrared video data through infrared binocular camera at the same time,and the high-definition image data is processed by the face recognition algorithm,then will get the number of faces and face position data in the high-definition image.And then we can get the corresponding area in the infrared image throuth mapping the face position to the infrared image,and calculate the temperature data of the corresponding face area in the infrared image,so as to obtain the temperature of the faces in the high definition image.The system combines infrared temperature measurement equipment with face recognition technology to achieve the purpose of accurate,fast and large-scale temperature measurement,and improves the purpose of fast passage.At the same time,the system monitors the data such as personnel body temperature and personnel trajectory in the designated area for 24 hours,realizing the early warning of abnormal body temperature,and the early warning of without wearing a respirator.It can also discovers potential dangers in time,and improves the prevention and control efficiency in a non-contact intelligent monitoring method.It can also generate big data about the body temperature and flow of people in the region,we can analyze the behavior trajectory of people in the region,the places that they stayed and other useful information,providing key data for epidemic prevention and control,and keep the lifeline of epidemic prevention.