Abstract:
The increasing number of COVID-19 tests offers additional information about the
epidemic's spread, perhaps allowing it to be managed and more infections avoided.
Wearing a face mask to reduce droplet transmission in the air, keeping adequate
physical space between individuals, and avoiding direct contact can all assist to prevent
this outbreak. As a result, the focus ofthis research is on developing a Face Mask and
Temperature Detection model utilizing a vision system. The author’s goal in this thesis
is to create a model that can detect faces wearing masks and assess their temperature.
Ifthe temperature is higher than normal, the door will not open, and ifthey don't have
a mask, the door will not open as well.
