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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 09 Issue: 05 | May 2022

p-ISSN: 2395-0072

www.irjet.net

ATTENDANCE MANAGEMENT VIA FACIAL RECOGNITION Aditya Sengar1, Mrityunjay Mishra2, Naveen Kumar Yadav3, Vikas Malviya4 Under the guidance of

Gagandeep Singh : Assistant Professor LOVELY PROFESSIONAL UNIVERSITY ---------------------------------------------------------------------***---------------------------------------------------------------------

PCA, Eigenfaces, image processing, and a micro-controller. The system works with facial picture data, and a suitable method that works with the systems’ orientation is required. A. Patil and colleagues introduced a face identification approach for attendance marking based on Haar cascades and the Viola-Jones algorithm. The system of artificial neural networks was proposed , which is both secure and simple. PCA was used to extract facial data, as well as training and testing. In which neural networks are achieved, the system operates in several orientations. M. Kalyani.K and Veera-Muthu proposed a 3D face recognition method for the system for managing attendance, each student’s attendance was recorded in the monthly timeframe. There is an urgent need for a new algorithm that can improve the identification of oriented faces. The PCA algorithm was used to create an effective attendance management system that attained a precision of up-to 83 percent, but the system’s performance was disturbed by minute changes in lighting conditions. The author introduced an eigenface technique along with PCA algorithm for marking facial recognition attendance systems, and they mentioned comparisons of various facial recognition algorithms. Overall, keeping a record of attendance was a good idea.

Abstract - Bio-metric authentication is being widely

used and it is replacing traditional systems with its main features being fast and reliable. There are different methods for biometric security such as systems based on fingerprint scanners, facial recognition, iris scanner, and voice recognition. Fingerprint scanner is extensively used in most the places for purpose of authentication but their major drawback can be hygiene. Facial recognition is emerging as a popular technology in this era. There has been a significant advancement in the field of facial recognition for the purpose of biometric security. It is really challenging to remember different passwords for various accounts, but in the system which uses facial recognition we don’t have to remember the passwords, we become the password. Facial recognition is majorly used in fields of defense, security, smartphones, and banking, but this system can be further developed to be incorporated into our day-to-day life for attendance marking in schools and offices and also by law enforcement to identify criminals or lawbreakers. Our project is the integration of web development, machine learning, and database with a user-friendly interface with the help of this system many organizations such as schools, and corporate office can change their conventional method of attendance management.

3. SYSTEM FEATURES

Key Words : PYTHON; FACE RECOGNITION; IMAGE PROCESSING; DJANGO; OPENCV; HOG+SVM

System features are highly divided into 3 modules.

1. INTRODUCTION This project attendance management system uses facial recognition for marking attendance, time of entrance, time of departure, and maintaining attendance records of students. This is an efficient replacement for the traditional attendance system that is done manually. it covers areas of computer vision (face detection, alignment, and recognition), machine learning, and web application development to implement various functionalities namely student registration, creation of dataset, training of ml model on the dataset, and view attendance reports, etc. This project can be extremely useful for maintaining attendance records in schools and various organizations.

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Registration and Access Module This module works closely with related tasks For the registration of any new user in the organization, Login to the system, and managing user profile information. Using features provided by this module manager may register new users in the system and the controller/user can access both the system through their credentials.

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Manage attendance information This module primarily addresses issues concerning the student’s attendance. Students can use it to record their presence, time of entrance, and time of departure in the system. Admin can view each student’s report generated by the system, and students can view their attendance report, With some filters, like filter by date and by student name.

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Manage Student Records This module includes features of the user profile. By using this module admin can add a photo of the newly registered student during registration. Admin can also command the system explicitly to train the model and the system will make necessary calculations and will generate some data

2. EXISTING SYSTEM Over the last few years, a variety of attendance management systems based on facial recognition have been deployed in various organizations to enhance the performance of employees and students. J. Joseph and K Zacharia suggested a Matlab-based system that included

Impact Factor value: 7.529

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