Recent strategies to restrain COVID-19 pandemic need high attention to mitigate negatively impacted communal health and global economy, with the brim-full horizon yet to unfold. As the need of face mast in mandatory in public places in order to protect ourself and others, some peoples are not sticking with the rules and regulations. In order to find those peoples who are not wearing facemask and also detect body temperature with thermal imaging algorithms, every entity and public buildings can at least take precautions to control the spread of the virus.
As the present scenario is that, some peoples adhere with the rules and regulation based on the covid19 pandemic, some peoples will not take much care and that cause the spreading of the virus in public places. In order to avoid those cluster of virus spreading scenario, implementing an AI vision system at these public places where crowding generally occurs and detect those and track or warn them to adhere with the rules.
By installing the new Ubuntu OS, and using the combination of Python & openCV the face mask detection can be implemented with a set of algorithms. Also by redesigning the image processing algorithm for thermal image processing, it is possible to detect the temperature radiation of a person. These features then embedded with the KV260 for the detection and make a warning if needed.
1) First Install UbunduFrom here https://ubuntu.com/download/xilinx
Instructions can be found here:
2) Install Python package and librariesInstall Python Using Apt
Open up your terminal by pressing Ctrl + Alt + T.
Update your local system's repository list by entering the following command
sudo apt-get update
Download the latest version of Python:
sudo apt-get install python
Apt will automatically find the package and install it on your computer.
OR
Use PyCharm (I used PyCharm)
https://www.jetbrains.com/pycharm/download/download-thanks.html?platform=linux&code=PCC
3) Programming for Face Detectionhttps://github.com/vishnusree000/face_detection
4) Result
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