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In order to respond to the epidemic situation we should implement Body Temperature Measurement (BTM) cameras that can detect abnormal body temperatures which is one of the symptoms of pneumonia and other viral diseases. Thermal measurement is a fast and efficient way of detecting those who show no obvious symptoms but have been infected by the epidemic. Unattended terminals can be installed with BTM cameras to facilitate the temperature detection of passing personnel with the use of facial recognition access control in each entrance and exit terminals. This is an ideal application for Airports, Train Stations and Subways, Schools, Shopping Centres and Government Buildings.


Key Features


FACE Intelligent Recognition

Deep Learning Algorithms (DLA) are used to model and recognise a face accurately. The fastest recognition time known is 0.2 sec although various models are used to reduce false rate and increase pass rate. Cameras with wide dynamic range (WDR), low illumination with large aperture lens are used for capturing high quality image with various complex lighting scenes. LIVE detection based on DLA, is effective against fraud such as photo and video.


BODY Temperature Measure

Real-time body temperature of multiple dynamic and static objects is measured by the use of a Thermal Camera and a Black Body. To ensure that readings are made accurately, the Black Body requires specific conditions for setting up. The environment needs to be free from any influence of heat (sun), wind, moisture and light (reflections/glare). Calibrated at a stable temperature, it measures all human forehead temperatures accurately then uses algorithms to convert it to body temperature.


DATA Analysis

The data utilised for analysis are based mostly on men rather than women. In general, women have lower body temperatures and their body temperatures can be influenced by their hormones.