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Face Recognization

The document surveys literature on facial recognition attendance systems, highlighting two main approaches: one using NFC technology for mobile devices and another based on face recognition to improve accuracy and security. It identifies problems with previous systems, such as data reliability and time consumption, and outlines aims to develop a portable, efficient smart attendance system that utilizes facial recognition. The project objectives include reducing manual recording, ensuring data accuracy, and providing a user-friendly interface for attendance management.

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Yash Dhumal
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0% found this document useful (0 votes)
20 views6 pages

Face Recognization

The document surveys literature on facial recognition attendance systems, highlighting two main approaches: one using NFC technology for mobile devices and another based on face recognition to improve accuracy and security. It identifies problems with previous systems, such as data reliability and time consumption, and outlines aims to develop a portable, efficient smart attendance system that utilizes facial recognition. The project objectives include reducing manual recording, ensuring data accuracy, and providing a user-friendly interface for attendance management.

Uploaded by

Yash Dhumal
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PPTX, PDF, TXT or read online on Scribd
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Literature Survey

Topic Facial Recognition Attendance System


Using Python And OpenCv
1 Attendance System Using NFC
Technology with Embedded Camera on
Mobile Device
• According to research journal “Attendance System Using NFC
(Near Field Communication) Technology with Embedded Camera on
Mobile Device” (Bhise, Khichi, Korde,Lokare, 2015). The attendance
system is improved by using NFC technology and mobile application.

• The advantages of this method is where the NFC is simple to use,


and the speed of connection establishment is very high. It indeed
speeds up theattendance taking process a lot. However, this system
couldn‟t automatically spot the violation when the NFC tag is not
personally tagged by the original owner.
2 Face Recognition Based Attendance
Marking System
• The second research journals “Face Recognition Based Attendance Marking
System” (SenthamilSelvi, Chitrakala, Antony Jenitha, 2014) is based on the
identification of face recognition to solve the previous attendance systems issues.
• This system uses camera to capture the images of the employee to do face
detection and recognition. The captured image is compared one by one with the
face database to search for the worker‟s face where attendance will be marked
when a result is found in the face database.
• The main advantage of this system is where attendance is marked on the server
which is highly secure where no one can mark the attendance of other. Moreover,
in this proposed system, the face detection algorithm is improved by using the
skin classification technique to increase the accuracy of the detection process.
Problem Definations and
Statements
• According to the previous attendance management system, the accuracy of the
datacollected is the biggest issue. This is because the attendance might not be
recorded personally by the original person, in another word, the attendance of a
particular person can be taken by a third party without the realization of the
institution which violates the accuracy of the data.
• For example, student A is lazy to attend a particular class, so student B helped
him/her to sign for the attendance which in fact student A didn‟t attend the class,
but the system overlooked this matter due to no enforcement practiced.
Supposing the institution establish an enforcement, it might need to waste a lot of
human resource and time which in turn will not be practical at all.
• Thus, all the recorded attendance in the previous system is not reliable for
analysis usage. The second problem of the previous system is where it is too time
consuming.
Aims and Objectives
Aim of the project :-
• To develop a portable Smart Attendance System which is handy and self-powered.
• To ensure the speed of the attendance recording process is faster than the
previous system which can go as fast as approximately 3 second for each student.
• Able to recognize the face of an individual accurately based on the face database.
• Develop a database for the attendance management system.
• Allow new students or staff to store their faces in the database by using a GUI.
• Able to show an indication to the user whether the face- recognition process is
successful or not.
Objectives of the Project

Research Objectives
• In order to solve the drawbacks of the previous system stated in 1.1, the existing
system will need to evolve. The proposed system will reduce the paperwork where
attendance will no longer involve any manual recording. The new system will also
reduce the total time needed to do attendance recording. The new system will acquire
individual attendance by means of facial recognition to secure data accuracy of the
attendance.
• The main objective of this project is to solve the issues encountered in the old
attendance system while reproducing a brand new innovative smart system that can
provide convenience to the institution. In this project, an application will be developed
which is capable of recognising the identity of each individuals and eventually record
down the data into a database system. Apart from that, an excel sheet is created which
shows the students attendance and is directly mailed to the respected faculty

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