Real-Time Facemask and Social Distancing Violation using Python
This project is made with Python to see if people wear face masks and stay apart to stay healthy. The project checks pictures or videos to see if people wear masks and if they’re far enough from each other. We use Python, OpenCV, and TensorFlow to do this. It helps us remember to wear masks and keep safe distances. We can make it easier to see the results with Tkinter or PyQt. This project is important for our health, especially during sickness outbreaks like COVID-19.
Face Mask and Social Distancing Project developed using python programming language and graphical user interface designed in tkinter. Both the machine learning modules work together first module detect face mask on person face, it will detect that person is wearing mask or not; the person not wearing mask will bounded by red boundary box and if person wears then it will be bounded by green box. Another model works for social distancing, developer have to add the threshold value of distancing from that distance if person came then it will give alert.
Social Distancing and Face Mask Detection using Deep Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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