Face Recognition Base Attendance System Using Deep Learning

Project Title

Face Recognition Base Attendance System Using Deep Learning

Project Area of Specialization Artificial IntelligenceProject Summary

Maintaining Attendance is Very Important for an organization and we develop Face Recognition Base Attendance System That will automatically mark Attendance in a Very short time and very Smartly. We make Dataset of face Images (10-20) of Each Student and train Dataset Using DNN (Deep Neural Network) and then Recognize face from Camera Image and Predict Result from the Trained Dataset Model and Mark Attendance on the base of Prediction with optimum Accuracy.

Project Objectives

The Aim of the Project is to automate The Attendance system of the organization. the attendance gets marked automatically of the student from the camera image and will be saved in the database in a very short time.

Project Implementation Method

project implementation in class room is very simple, proper light is required in the class room and we set camera in 7ft high in front of the face angle and cpu with display is require to operate the software.

Benefits of the Project

• Time saving
• No proxy attendance
• easy to Operate
• Quick Attendance Reports

Technical Details of Final Deliverable

Steps To Perform Attendance

1. User Registration (to Operate Software)
2. Department & Student Registration
3. Training Data Model 
4. Recognition
5. Mark attendance Recognized Students

its one click attendance system within 2-3 minute attendance will be marked. We use Deep Neural Network liberary called Dlib in our project.

Final Deliverable of the Project HW/SW integrated systemType of Industry Education Technologies Artificial Intelligence(AI)Sustainable Development Goals Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	5500
Logitech B525 HD Webcam	Equipment	1	5500	5500