FACE RECONGNITION ATTENDANCE SYSTEM (FRAS)

This system is a solution of real problem in almost every organization especially in The University of Lakki Marwat, in which teacher mark their attendance manually and the security guard check every student manually, that is why we need to automate these issues to avoid the waste of time and effort

Project Title

FACE RECONGNITION ATTENDANCE SYSTEM (FRAS)

Project Area of Specialization

Artificial Intelligence

Project Summary

This system is a solution of real problem in almost every organization especially in The University of Lakki Marwat, in which teacher mark their attendance manually and the security guard check every student manually, that is why we need to automate these issues to avoid the waste of time and effort and to make the security system more convenient and secure.

This system will identify and recognize the right person which will enter to the university by using CCTV camera, and this system will also automate the employee/students attendance system. The CCTV camera will automatically capture the images of the person entering to the university. It will then match image with datasets, if the image is matched, the attendance of employee will automatically mark. If the employees arrive late then the system will show warning that “you are xx minute late please be noted”.

Project Objectives

The purpose of this project is to automate the attendance system of an organization. This problem not only exists in The University of Lakki Marwat but it exist almost in every organization that each and every employee of organization use manual attendance system or fingerprints system.

This project will automate the attendance system of employee and will calculate the salary of each and every employee at the end of the month. If someone comes late to the organization the system will automatically tell them that you are xxx minute late and the salary will also calculate on the basis of their presence in organization.

Project Implementation Method

The requirement and literature survey of our project is completed and now we are in the image acquisition phase (Data set).

 We have divided our whole project into five different modules

i.e,

•Face Detection

•Face Datasets

•Face Recognizer

•Salary of Employee

•Employee counting the implementation part is almost 30% completed

The remaining part will be completed in the next 5 months.

Benefits of the Project

The benefits of this project are to automate the attendance system to avoid the waste of time. Now a day almost in every organization the employee mark their attendance either manually or by using fingerprints system. The fingerprints system is although the most reliable fingerprints system but it waste a lot of time to marks your attendance, that is why we have started this project to avoid the waste of time and automate the attendance system by using face recognition.

The salary calculation of employees is now a day a major in almost every organization. this project will calculate the salary of every employee at the end to each and every month on the basis of the presence of an employee in an organization. Security is also one of the major issues of every organization. By implementing this project we are trying to improve the security of the organization but counting the number of people enter the organization.

Technical Details of Final Deliverable

This system will defiantly outclass all the existing finger print attendance system and especially the manual system in this digital era. The final system will consist of a camera on the main gate of the university which connects with server system or any system in the security room.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Security

Other Industries

Education

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Quality Education, Decent Work and Economic Growth

Required Resources

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