Attendance Management System Using Facial Recognition and Image Augmentation Technique

2021 ◽  
Author(s):  
Shubhnoor Gill ◽  
Neha Sharma ◽  
Chetan Gupta ◽  
Argha Samanta
Keyword(s):  
Management System ◽  
Facial Recognition

scholarly journals Attendance Management System using Google Facenet for Facial Recognition

2021 ◽  
Vol 9 (VI) ◽  
pp. 5029-5036
Author(s):  
Rakesh Duggempudi
Keyword(s):  
Image Processing ◽  
Face Recognition ◽  
Open Source ◽  
Management System ◽  
Facial Recognition ◽  
Cost Effective ◽  
Source Image ◽  
Student Attendance ◽  
Manual Work ◽  
View Update

Attendance management system is a required tool for attaining attendance in any habitat where attendance is essential. Yet, many of the available techniques consume time, are invasive and it demands manual work from the users. This research is directed at building a less invasive, cost effective and more efficient automated student attendance management system using face recognition that leverages on OpenCV functions for facial recognition. The system provides a GUI for marking attendance. It provides an interface for updating attendance using facial recognition libraries of OpenCV. The system stores attendance in a database which is maintained by the administrator. The administrator can view, update, and change the attendance of the students. The students can view and update their attendance. The system is developed on Open-Source image processing library and the interface is developed using Python Tkinter module. The Tkinter module is an open-source module by which we can develop GUI screens hence, it is not software dependent nor vendor hardware. The OpenCV module used for image processing is interfaced using python.

Attendance Management System using Facial Recognition

2020 ◽  
Author(s):  
Ankush Kumar ◽  
Manish Sharma ◽  
Saurabh Pratap Gautam ◽  
Ranjeet Kumar ◽  
Sandeep Raj
Keyword(s):  
Management System ◽  
Facial Recognition

scholarly journals Attendance Management System using Deep Learning and Facial Recognition Technique

2019 ◽  
Vol 8 (10) ◽  
pp. 4097-4101
Keyword(s):  
Big Data ◽  
Deep Learning ◽  
Management System ◽  
Facial Recognition ◽  
Data Sets ◽  
Programming Framework ◽  
Information Handling ◽  
The Future ◽  
Application Programming ◽  
Recognition Technique

Big data could be a term acclimated converse with the investigation and utilizations of data sets that are unreasonably entangled for conventional information handling application programming framework to sufficiently alter. AI is a use of (AI) that enables frameworks to precisely take in and improve from aptitude while not being explicitly customized. AI centers around the occasion of pc programs which will get to data and use it learn for themselves. The technique for learning starts with perceptions or data, similar to precedents, direct skill, or guidance, in order to appear for examples in data and manufacture higher decisions inside the future bolstered the models that square measure gave. One in everything about applications is programmed face acknowledgment bunch activity framework to a great extent used in Workplaces or gifted workspaces. ID or Verification done by catching an image of client's face through a camera that progressively stamps bunch activity. This propelled face acknowledgment bunch activity biometric framework enlists the particular and changeless facial fine purposes of staff and records them inside the data as stencils. When the enrollment strategy is finished, you just should investigate the camera to confirm your character and furthermore the programmed face acknowledgment bunch activity framework precisely denotes your gathering activity for your sake. Face acknowledgment bunch activity framework is a right innovation for overseeing bunch activity since it scarcely gives mistakes.

scholarly journals Efficient Attendance Management System Based on Facial Recognition

2018 ◽  
Vol 7 (3.12) ◽  
pp. 565 ◽  
Author(s):  
Setu Choudhary ◽  
Aayush Kakaji ◽  
Kusuma Pranay ◽  
P Prabhu
Keyword(s):  
Computer Vision ◽  
Support Vector Machine ◽  
Face Recognition ◽  
Data Base ◽  
Management System ◽  
Facial Recognition ◽  
Recognition System ◽  
Support Vector ◽  
Time Consumption ◽  
Face Recognition System

A Face recognition system is an application of computer vision which is capable of performing two major tasks identifying and verifying a person from  given data base. The objective of this paper is to design an effective attendance system which is based on facial recognition and intend to reduce the manual efforts of the teacher. In the conventional attendance system there are several issue like fake attendance, time consumption, manipulation of attendance. The algorithm used is named fisher face algorithm, which is already in use but it gives an accuracy of 5-6% and the amount of faces it can detect is comparatively less, Here we intend to use fisher face algorithm with the help of support vector machine(SVM). The system is trained with database faces.  The data gets updated in the portal which is accessed by the faculty and the students. This paper is a speculative model of attendance management system using facial recognition.

scholarly journals Class Attendance Management System using Facial Recognition

2020 ◽  
Vol 32 ◽  
pp. 02001
Author(s):  
Clyde Gomes ◽  
Sagar Chanchal ◽  
Tanmay Desai ◽  
Dipti Jadhav
Keyword(s):  
Face Recognition ◽  
Face Detection ◽  
Radio Frequency Identification ◽  
Management System ◽  
Facial Recognition ◽  
Automated System ◽  
Time Saving ◽  
Recognition Algorithms ◽  
Conventional Methods ◽  
Identification Tags

Attendance marking in a classroom during a lecture is not only a onerous task but also a time consuming one at that. Due to an unusually high number of students present during the lecture there will always be a probability of proxy attendance(s).Attendance marking with conventional methods has been an area of challenge. The growing need of efficient and automatic techniques of marking attendance is a growing challenge in the area of face recognition. In recent years, the problem of automatic attendance marking has been widely addressed through the use of standard biometrics like fingerprint and Radio frequency Identification tags etc., However,these techniques lack the element of reliability. In this proposed project an automated attendance marking and management system is proposed by making use of face detection and recognition algorithms. Instead of using the conventional methods, this proposed system aims to develop an automated system that records the student’s attendance by using facial recognition technology. The main objective of this work is to make the attendance marking and management system efficient, time saving, simple and easy. Here faces will be recognized using face recognition algorithms. The processed image will then be compared against the existing stored record and then attendance is marked in the database accordingly. Compared to existing system traditional attendance marking system, this system reduces the workload of people. This proposed system will be implemented with 4 phases such as Image Capturing, Segmentation of group image and Face Detection, Face comparison and Recognition, Updating of Attendance in database.

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