Face detection and recognition system for UE students using deep learning techniques

Project Title

Face detection and recognition system for UE students using deep learning techniques

Project Area of Specialization Artificial IntelligenceProject Summary

Basically in this application we can verify any person through scanning his/her face in camera and mark his/her attendance in database.

Firstly we have to save data of all the students or employee in Database(DB), we add his information and take sample pictures of person and make a sketch of his face and save it in DB. When we have to verify a person then we take him in front of camera and then scan his face and software automatically make sketch of his face and match this sketch with all the sketches present in the DB If sketch match with any sketch of person present in DB then it will fetch all the information related to these sketch and make a rectangle on his face and show all the data like (Student ID, Name, Department etc.) on top of the rectangle and marks his attendance in DB with date and time and we can easily export this attendance in Excel sheet.

Project Objectives

• User friendly
• Recognize the face of an individual accurately based on the face database.
• Allow new students or staff to store their faces in the database by using a GUI
• It also helps to take attendance on the time of verification with date and time.
• Less time consuming
• Provide accuracy as compared to other software

Project Implementation Method

TOOLS:

VS CODE:

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Benefits of the Project

• Helps find missing people.
• Protects businesses against theft.
• Improves photo organization
• Strengthens security measures
• Save Time

Technical Details of Final Deliverable

Sr .

Task name

M 1

M2

M3

M4

M5

M6

M7

M8

M9

M10

M11

M12

1

Literature Review

2

Data collection

3

Development

4

Testing

5

Documentation

&am

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1

2

3

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5

Final Deliverable of the Project Software SystemCore Industry ITOther Industries Education Core Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Quality EducationRequired Resources

Elapsed time in (days or weeks or month or quarter) since start of the project	Milestone	Deliverable
Month 1	Literature Review	Read case Studies
Month 2	Data collection	Collect complete data
Month 3	Development	Coding
Month 4	Testing	Testing
Month 5	Documentation	Documentation