Real-Time Face Mask Detection and Face Recognition Using CapsNet Technique - IT Assignment Help

Assignment Task:

The title will be “Real-time Face mask detection and face recognition using CapsNet technique".

Brief description: 

I) Face recognition from disguised / occluded / any other partially covered faces.
Note: This project is a supervised learning project with labeled data and using a video feed. i.e. video cameras, smart phones, CCTV surveillance cameras, etc.

(Optional: Four sequential processes that are:
• Data Augmentation, 
• Unmask Region Segmentation, 
• Horizontal Slicing, 
• Multi-Feature Extraction and Classification).

This step is to recognize the face either with a mask or without a mask and the result will be a person's name.

II) Masked face detection of the given extracted features

This step is to detect the mask on the person's face and the result will be 
a) With Mask
b) No Mask

The important factor to me is optimization, it means the project should work faster than the similar project those are using the same dataset.

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