In this, a model is developed and trained with image dataset that detects the face and tells whether the human face has mask or not. This solution can be integrated with any CCTV surveillance. CNN algorithm has been used to train the model and the model is capable of detecting mask on human face accurately.
The primary application features are following:
- Detects whether human is wearing mask or not, on real time.
- Works well with live CCTV and by feeding recorded files.
- Can detect multiple people wearing masks in a single screen.
Technology: .Image Classification, TensorFlow, Keras, CV2, VideoStream