Can thermal cameras help spot coronavirus?
Using infrared
technology, thermal cameras detect radiating heat from a body - usually
from the forehead - and then estimate core body temperature. These
cameras are an extremely powerful tool, often deployed by fire fighters
to track smouldering embers and police to search for out-of-sight
suspects.To get more news about Face infrared thermometer, you can visit jiminate official website.
But they are not designed to be medical devices. So how useful are they in the current pandemic?
They can give a reasonable measure of skin temperature, to within half a degree - but that's not the same as body temperature.
"These devices, in general, are less accurate than medical device
thermometers like those you stick in the ear," says Derek Hill,
professor of medical imaging science from University College
London.About 37C (98.6F). A high temperature is usually considered to be
38C or over. But normal temperature can vary from person to person and
change during the day. It can also fluctuate during a woman's monthly
cycle.
Taking an accurate reading of core body temperature isn't
easy. Although it can be measured on the forehead, in the mouth, the ear
and the armpit, the most accurate way is to take a rectal reading.No,
they only measure temperature. A high temperature or fever is just one
common symptom of the virus. Others include nausea, headaches, fatigue
and loss of taste or smell. But not everyone with the virus gets a high
temperature and not everyone with a high temperature is infected with
coronavirus.
So thermal cameras alone will miss infected people with
other symptoms or no symptoms at all - known as false negatives. They
will also identify people unwell with a fever for another reason - known
as false positives.On its own, temperature screening "may not be very
effective" says the World Health Organization. Cameras have to be set up
correctly and take account of ambient temperature. A risk is that
cameras can lull operators into a false sense of security.
"They are… only one tool among many," says James Ferryman, professor of computational vision, from the University of Reading.
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