At first, a thermal imaging camera and a regular camera connected to a raspberry pie look at the person in front.
Then, check if the mask is worn using the MobileNet V2 model learned using Tensorflow, and check if the temperature is higher than 37.5 degrees through Flirpy.
If the target in front of you is not wearing a mask or if the temperature is high, use Google-API to detect the target's name tag.
Then, the person's photo is saved and the Telegram text is sent in real time through the data shown above. Monitor shows real-time progress.
