Smart Classroom attendance system usingface recognition

The face is the identity of a person. The methods to exploit this physical feature have seen a great change since the advent of image processing techniques. The attendance is taken in every schools, colleges and library. Traditional approach for attendance is professor calls student name & recor

Project Title

Smart Classroom attendance system usingface recognition

Project Area of Specialization

Artificial Intelligence

Project Summary

The face is the identity of a person. The methods to exploit this physical feature have seen a great change since the advent of image processing techniques. The attendance is taken in every schools, colleges and library. Traditional approach for attendance is professor calls student name & record attendance. It takes some time to record attendance. Suppose duration of class of one subject is about 50 minutes & to record attendance takes 5 to 10 minutes. For each lecture this is wastage of time.

To avoid these losses, we are about use automatic process which is based on image processing. In this novel approach, we are using face detection & face recognition system. This face detection differentiates faces from non-faces and is therefore essential for accurate attendance.

The other strategy involves face recognition for marking the student’s attendance. The Raspberry pi module is used for face detection & recognition. The camera will be connected to the Raspberry pi module. The student database is collected. The database includes name of the students, there images & roll number. This raspberry pi module will be installed at the front side of class in such a way that we can capture entire class. Thus with the help of this system, time will be saved. With the help of this system, it is so convenient to record attendance. We can take attendance on any time.

Project Objectives

• To design an accurate Smart Classroom Attendance System Using Face Recognition

• To avoid the time losses in classroom attendance activity

• To effectively utlize the class time period

Project Implementation Method

In the proposed project, Different techniques like color based detection and Principle Component Analysis (PCA) for face detection and for feature extraction, PCA and Linear Discriminate Analysis (LDA).

For detection, Color based technique would be implemented, which depends on the detection of the human skin color with all its different variations in the image. The skin area of the image is then segmented and passed to the recognition process.

For recognition, PCA technique could be selected which is a statistical approach that deals with pure mathematical matrixes not image processing like the color based technique used for detection. PCA can also be used for detection.

Benefits of the Project

For class attendance, there are wide range of methods such as biometric, RFID based etc. which are time consuming and non-efficient. To design an efficient and reliable solution from every perceptive of time and security.

The proposed project is to develop a reliable and efficient attendance system to implement an image processing algorithm to detect faces in classroom and to recognize the faces accurately to mark the attendance.

Technical Details of Final Deliverable

• Software Simulation results
• Comparative Study
• HW/SW Integrated System

Final Deliverable of the Project

HW/SW integrated system

Type of Industry

Education , IT

Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Quality Education

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com