Masked Face Recognition Attendance System

Project Title

Masked Face Recognition Attendance System

Project Area of Specialization Artificial IntelligenceProject Summary

As we all know about the pandemic situation, where face mask is necessary in all the organizational departments, whereas the attendance is also necessary. So by looking forward to this current situation We have come up with the idea of combining the both features of facial detection and object detection using real time interaction. We will use machine learning models to train the datasets of real time data, which will help us to mark the attendance of the person which will pass through the camera and detects the facemask.

Project Objectives

1) Real time person’s identification.

2) Marking of the attendance.

3) Face mask detection.

Project Implementation Method

1) Attendace marking of the masked detected person.

2) Creation of dataset.

3) Data will be trained.

4) Cnn model will be applied..

5) Image processing for recognize the person with or without  mask.

Benefits of the Project

 1) Security purposes.

2) Human intelligence will be less used.

3) Time saving.

4) Tech awareness.

Technical Details of Final Deliverable

1) Model training on mask and without mask images for detection

2)MobilenetV2 archietecture of cnn is ued for training,

3) Image processing for recognize the faces of masked faces.

Final Deliverable of the Project Software SystemCore Industry SecurityOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Decent Work and Economic GrowthRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	10000
HD/Web Cam	Equipment	1	10000	10000