Robust Real Time Mask Detection Using Deep Learning in an Complex Background

Our team will be building a Mask Detection System as in this epidemic that would be a great help in the identification whether a person wears a mask or not. The system will be build with the help of TensorFlow and Deep Learning technology using Projection and recognition algorithm. There are certain tools that will be used while building the model like Tensorflow, Keras and OpenCV. We will also test the software on a Live Video Camera. By optimizing more this model can easily be integrated with security cameras to detect and identify people without mask. This model is trained and thus doesn’t require any dataset. Due to the help of projection and architecture, the model is accurate and could easily used in embedded system. This project can easily be used in live cctv cameras in places like Hospitals, Schools, Airports and Railway Stations by which one can easily monitor and ensure public safety in this Covid-19 outbreak.