Submit Search
Upload
A Real Time Advance Automated Attendance System using Face-Net Algorithm
•
0 likes
•
3 views
IRJET Journal
Follow
https://www.irjet.net/archives/V10/i12/IRJET-V10I1223.pdf
Read less
Read more
Engineering
Report
Share
Report
Share
1 of 7
Download now
Download to read offline
Recommended
IRJET- Smart Classroom Attendance System: Survey
IRJET- Smart Classroom Attendance System: Survey
IRJET Journal
Student Attendance Management Automation Using Face Recognition Algorithm
Student Attendance Management Automation Using Face Recognition Algorithm
IRJET Journal
MTCNN BASED AUTOMATIC ATTENDANCE SYSTEM USING FACE RECOGNITION
MTCNN BASED AUTOMATIC ATTENDANCE SYSTEM USING FACE RECOGNITION
IRJET Journal
IRJET- Autonamy of Attendence using Face Recognition
IRJET- Autonamy of Attendence using Face Recognition
IRJET Journal
Automated attendance system using Face recognition
Automated attendance system using Face recognition
IRJET Journal
IRJET- Intelligent Automated Attendance System based on Facial Recognition
IRJET- Intelligent Automated Attendance System based on Facial Recognition
IRJET Journal
IRJET- Attendance Management System using Real Time Face Recognition
IRJET- Attendance Management System using Real Time Face Recognition
IRJET Journal
IRJET- Free & Generic Facial Attendance System using Android
IRJET- Free & Generic Facial Attendance System using Android
IRJET Journal
Recommended
IRJET- Smart Classroom Attendance System: Survey
IRJET- Smart Classroom Attendance System: Survey
IRJET Journal
Student Attendance Management Automation Using Face Recognition Algorithm
Student Attendance Management Automation Using Face Recognition Algorithm
IRJET Journal
MTCNN BASED AUTOMATIC ATTENDANCE SYSTEM USING FACE RECOGNITION
MTCNN BASED AUTOMATIC ATTENDANCE SYSTEM USING FACE RECOGNITION
IRJET Journal
IRJET- Autonamy of Attendence using Face Recognition
IRJET- Autonamy of Attendence using Face Recognition
IRJET Journal
Automated attendance system using Face recognition
Automated attendance system using Face recognition
IRJET Journal
IRJET- Intelligent Automated Attendance System based on Facial Recognition
IRJET- Intelligent Automated Attendance System based on Facial Recognition
IRJET Journal
IRJET- Attendance Management System using Real Time Face Recognition
IRJET- Attendance Management System using Real Time Face Recognition
IRJET Journal
IRJET- Free & Generic Facial Attendance System using Android
IRJET- Free & Generic Facial Attendance System using Android
IRJET Journal
Smart Doorbell System Based on Face Recognition
Smart Doorbell System Based on Face Recognition
IRJET Journal
Automated Attendance Management System
Automated Attendance Management System
IRJET Journal
IRJET- Computerized Attendance System using Face Recognition
IRJET- Computerized Attendance System using Face Recognition
IRJET Journal
IRJET- Computerized Attendance System using Face Recognition
IRJET- Computerized Attendance System using Face Recognition
IRJET Journal
IRJET - Facial Recognition based Attendance Management System
IRJET - Facial Recognition based Attendance Management System
IRJET Journal
Comparative Study of Enchancement of Automated Student Attendance System Usin...
Comparative Study of Enchancement of Automated Student Attendance System Usin...
IRJET Journal
Student Attendance Using Face Recognition
Student Attendance Using Face Recognition
IRJET Journal
IRJET- Automated Attendance System using Face Recognition
IRJET- Automated Attendance System using Face Recognition
IRJET Journal
IRJET- Student Attendance System by Face Detection
IRJET- Student Attendance System by Face Detection
IRJET Journal
IRJET- Automation Software for Student Monitoring System
IRJET- Automation Software for Student Monitoring System
IRJET Journal
IRJET - Face Recognition based Attendance System: Review
IRJET - Face Recognition based Attendance System: Review
IRJET Journal
IRJET- Spot Me - A Smart Attendance System based on Face Recognition
IRJET- Spot Me - A Smart Attendance System based on Face Recognition
IRJET Journal
Implementation of Automatic Attendance Management System Using Harcascade and...
Implementation of Automatic Attendance Management System Using Harcascade and...
IRJET Journal
Smart Attendance System using Face-Recognition
Smart Attendance System using Face-Recognition
IRJET Journal
IRJET- Automated Student’s Attendance Management using Convolutional Neural N...
IRJET- Automated Student’s Attendance Management using Convolutional Neural N...
IRJET Journal
IRJET- Design of an Automated Attendance System using Face Recognition Algorithm
IRJET- Design of an Automated Attendance System using Face Recognition Algorithm
IRJET Journal
Face Recognition based Smart Attendance System Using IoT
Face Recognition based Smart Attendance System Using IoT
IRJET Journal
Review Paper on Attendance Capturing System using Face Recognition
Review Paper on Attendance Capturing System using Face Recognition
IRJET Journal
IRJET- Vehicle Seat Vacancy Identification using Image Processing Technique
IRJET- Vehicle Seat Vacancy Identification using Image Processing Technique
IRJET Journal
A VISUAL ATTENDANCE SYSTEM USING FACE RECOGNITION
A VISUAL ATTENDANCE SYSTEM USING FACE RECOGNITION
IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
More Related Content
Similar to A Real Time Advance Automated Attendance System using Face-Net Algorithm
Smart Doorbell System Based on Face Recognition
Smart Doorbell System Based on Face Recognition
IRJET Journal
Automated Attendance Management System
Automated Attendance Management System
IRJET Journal
IRJET- Computerized Attendance System using Face Recognition
IRJET- Computerized Attendance System using Face Recognition
IRJET Journal
IRJET- Computerized Attendance System using Face Recognition
IRJET- Computerized Attendance System using Face Recognition
IRJET Journal
IRJET - Facial Recognition based Attendance Management System
IRJET - Facial Recognition based Attendance Management System
IRJET Journal
Comparative Study of Enchancement of Automated Student Attendance System Usin...
Comparative Study of Enchancement of Automated Student Attendance System Usin...
IRJET Journal
Student Attendance Using Face Recognition
Student Attendance Using Face Recognition
IRJET Journal
IRJET- Automated Attendance System using Face Recognition
IRJET- Automated Attendance System using Face Recognition
IRJET Journal
IRJET- Student Attendance System by Face Detection
IRJET- Student Attendance System by Face Detection
IRJET Journal
IRJET- Automation Software for Student Monitoring System
IRJET- Automation Software for Student Monitoring System
IRJET Journal
IRJET - Face Recognition based Attendance System: Review
IRJET - Face Recognition based Attendance System: Review
IRJET Journal
IRJET- Spot Me - A Smart Attendance System based on Face Recognition
IRJET- Spot Me - A Smart Attendance System based on Face Recognition
IRJET Journal
Implementation of Automatic Attendance Management System Using Harcascade and...
Implementation of Automatic Attendance Management System Using Harcascade and...
IRJET Journal
Smart Attendance System using Face-Recognition
Smart Attendance System using Face-Recognition
IRJET Journal
IRJET- Automated Student’s Attendance Management using Convolutional Neural N...
IRJET- Automated Student’s Attendance Management using Convolutional Neural N...
IRJET Journal
IRJET- Design of an Automated Attendance System using Face Recognition Algorithm
IRJET- Design of an Automated Attendance System using Face Recognition Algorithm
IRJET Journal
Face Recognition based Smart Attendance System Using IoT
Face Recognition based Smart Attendance System Using IoT
IRJET Journal
Review Paper on Attendance Capturing System using Face Recognition
Review Paper on Attendance Capturing System using Face Recognition
IRJET Journal
IRJET- Vehicle Seat Vacancy Identification using Image Processing Technique
IRJET- Vehicle Seat Vacancy Identification using Image Processing Technique
IRJET Journal
A VISUAL ATTENDANCE SYSTEM USING FACE RECOGNITION
A VISUAL ATTENDANCE SYSTEM USING FACE RECOGNITION
IRJET Journal
Similar to A Real Time Advance Automated Attendance System using Face-Net Algorithm
(20)
Smart Doorbell System Based on Face Recognition
Smart Doorbell System Based on Face Recognition
Automated Attendance Management System
Automated Attendance Management System
IRJET- Computerized Attendance System using Face Recognition
IRJET- Computerized Attendance System using Face Recognition
IRJET- Computerized Attendance System using Face Recognition
IRJET- Computerized Attendance System using Face Recognition
IRJET - Facial Recognition based Attendance Management System
IRJET - Facial Recognition based Attendance Management System
Comparative Study of Enchancement of Automated Student Attendance System Usin...
Comparative Study of Enchancement of Automated Student Attendance System Usin...
Student Attendance Using Face Recognition
Student Attendance Using Face Recognition
IRJET- Automated Attendance System using Face Recognition
IRJET- Automated Attendance System using Face Recognition
IRJET- Student Attendance System by Face Detection
IRJET- Student Attendance System by Face Detection
IRJET- Automation Software for Student Monitoring System
IRJET- Automation Software for Student Monitoring System
IRJET - Face Recognition based Attendance System: Review
IRJET - Face Recognition based Attendance System: Review
IRJET- Spot Me - A Smart Attendance System based on Face Recognition
IRJET- Spot Me - A Smart Attendance System based on Face Recognition
Implementation of Automatic Attendance Management System Using Harcascade and...
Implementation of Automatic Attendance Management System Using Harcascade and...
Smart Attendance System using Face-Recognition
Smart Attendance System using Face-Recognition
IRJET- Automated Student’s Attendance Management using Convolutional Neural N...
IRJET- Automated Student’s Attendance Management using Convolutional Neural N...
IRJET- Design of an Automated Attendance System using Face Recognition Algorithm
IRJET- Design of an Automated Attendance System using Face Recognition Algorithm
Face Recognition based Smart Attendance System Using IoT
Face Recognition based Smart Attendance System Using IoT
Review Paper on Attendance Capturing System using Face Recognition
Review Paper on Attendance Capturing System using Face Recognition
IRJET- Vehicle Seat Vacancy Identification using Image Processing Technique
IRJET- Vehicle Seat Vacancy Identification using Image Processing Technique
A VISUAL ATTENDANCE SYSTEM USING FACE RECOGNITION
A VISUAL ATTENDANCE SYSTEM USING FACE RECOGNITION
More from IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
More from IRJET Journal
(20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
React based fullstack edtech web application
React based fullstack edtech web application
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Recently uploaded
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
null - The Open Security Community
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ
power system scada applications and uses
power system scada applications and uses
DevarapalliHaritha
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
Tsuyoshi Horigome
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Dr.Costas Sachpazis
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
purnimasatapathy1234
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Anamika Sarkar
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
João Esperancinha
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
RajaP95
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
ssuser7cb4ff
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
PoojaBan
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
Soham Mondal
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
srsj9000
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptx
KartikeyaDwivedi3
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.
eptoze12
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
RajaP95
Design and analysis of solar grass cutter.pdf
Design and analysis of solar grass cutter.pdf
Tagore Institute of Engineering And Technology
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
NikhilNagaraju
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptx
k795866
Recently uploaded
(20)
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
power system scada applications and uses
power system scada applications and uses
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptx
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
Design and analysis of solar grass cutter.pdf
Design and analysis of solar grass cutter.pdf
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptx
A Real Time Advance Automated Attendance System using Face-Net Algorithm
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 12 | Dec 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 163 A Real Time Advance Automated Attendance System using Face-Net Algorithm Krishna Pandit1, Sahil Goge2, Sakshi Narwade3, Dr. Sarita Sanap4 1student, Dept. of ETC Engineering, MIT, Aurangabad, Maharashtra, India 2student, Dept. of ETC Engineering, MIT, Aurangabad, Maharashtra, India 3student, Dept. of ETC Engineering, MIT, Aurangabad, Maharashtra, India 4Professor, Dept. of ETC Engineering, MIT, Aurangabad, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract -Proposed system presents a pioneering "Real- Time Advance Automated Attendance System using Face-Net Algorithm" designed to alleviate the burdens associated with manual attendance-taking methods prevalent in educational institutions. Leveraging state-of-the-art facial recognition technology, the system automates the attendance tracking process, enhancing accuracy and efficiency. Proposed system encompasses the development of a robust system that incorporates facial detection and recognition algorithms, database management, and user interfaces tailored to the needs of educators and administrators. By capturing and processing facial data, the system enables real- time attendance recording while maintaining stringent privacy and data security measures. Through rigorous testing and evaluation, the system demonstrated its effectiveness in diverse classroom settings, offering a practical solution for attendance management. This project seeks to contribute to the ongoing digital transformation of education, promoting streamlined administrative processes and allowing educators to focus more on their core teaching responsibilities. The Face Recognition-Based Attendance System represents a forward-thinking approach to attendance management, aligning with contemporary technological trends and addressing the challenges posed by conventional methods. As educational institutions seek to optimize their operations, this system stands as a testament to the potentialfortechnologyto enhance administrative processes and improve the overall educational experience. Key Words: Face-Net, Attendance System, Face Recognition 1.INTRODUCTION In an era characterized by rapid technological advancement, the education sector continues to embrace innovative solutions that enhance learning experiences and administrative processes. One such innovation is the implementationofbiometric-basedattendancesystems. This system endeavors to contributetotheeducational landscape by presenting a cutting-edge "Real TimeAdvanceAutomated Attendance System." Developed a Python-based face recognition attendance system whose data will be stored in the database. In the result, it is shown that it captures up to 4 faces accurately [1]. A CNN-based automated attendance system using the facial recognition domain has been developed [2]. A real- time, video-based dynamic face recognition system is developed [3]. Works propose a system in which Euclidian distance, eigen value, and eigenvectors are used. In PCA- based face recognition, OpenCV is used in the attendance system [4] [5] [6] [7]. The author has developed an attendance system based on the Haar cascade and local binary pattern histogram algorithm. However, mostofthese systems have respective limitations in portability, accessibility, authenticity, or cost [8]. The aim of developing this system was to detect multiple faces and recognize them in real time for effortless attendance marking. The main objectives of this system are as follows: Face Detection from Images: Efficiently detecting faces within images forms the foundational step of our system. Development of a Machine Learning Model: The creation of a robust machine-learning model, pre- trained on a comprehensive dataset of student faces, empowers the system to uniquely recognize individuals. Attendance Recording: The system directly records attendance for future reference ensuring reliable records. Excel Sheet Integration: Attendance data is efficiently marked on an Excel sheet, simplifying record keeping and data management. The rest of the paper goes like this: We talk aboutwhatother people have studied and written about in Section II. In Section III, we explain how our system works. Section IV is where we show you what our system looks like on the computer screen. We talk about what we found outfrom our system in Section V. Finally, in Section VI, we finish up and wrap things up.
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 12 | Dec 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 164 2. Literature Survey In recent times, different methods, techniques, and image processing have been used to increase the accuracy and efficiency of facial recognition systems. An enhanced face recognition method isproposedtodevelop an efficient studentattendancesystem.PCAalgorithmisused for developing the system. It extracts the facial features and performs the Haar cascade method [4]. In the face recognition stage, an enhanced local binarypattern(ELBP)is implemented by increasing the radius of the original local binary pattern (LBP) operator, and principal component analysis (PCA) is used to extract the features from facial images [6]. Concentrates on the implementation of an automated attendance system that uses face recognition algorithms like Haar cascade, LBPH, and OpenCV to record the attendanceof the class and manage the class database [9] [8]. Development of a face recognition-based automatic student attendance system using Convolutional Neural Networks which includes data entry, dataset training, face recognition, and attendance entry[2]. The system can detect and recognize multiple people’s faces from video streams and automatically record daily attendance [1]. Automated real-timeattendance managementsystem(AMS) using face recognition techniques to reduce human dependency and thereby save time [10]. A modified local binary pattern histogram (MLBPH) algorithm based on the calculation of based on pixel neighborhood gray median for extracting the significant features of the human face [11]. This paper develops a university classroom automatic attendance system by integrating two deep learning algorithms MTCNN face detection and Centre-Face face recognition [12]. Face detection isanimportantroleinmanyapplications.Face detection overlapping is one of the important works in face- detecting applications. In this paper, the DRLBP algorithm is used to identify overlappedfacedetection.Initially,thefaceis detected from database images using DRLBP feature extraction. This feature extraction result is compared to our test images [3]. The proposed system uses Max- Margin Face Detection (MMFD) technique for facedetectionandthemodelistrained using the Inception-V3 CNN technique for the students’ identification [13]. The IoT-based system in which the pin camera is associated with the raspberry-pi serial USB port catches of the researchers who are accessible insidetheclass for face location and system with CCTV implemented in [14][15]. The system is trained and tested by conducting experiments on the FEI face database. Each classifier is trained using face images of each student in seven different head poses and it is tested against six different poses [16]. RFID uniquely identifies the student based on the card number, and then an individual (Fast Adaptive Neural Network Classifier – FANNC) classifier is used to verify the face of each student exclusively [17]. Principle Component Analysis (PCA), Eigen face value detection, and Convolutional Neural Network (CNN) are the methods being used in this paper to create an automatic attendance management system [18]. Investigate its feasibility of mobile attendance systems for settings such as classrooms or other scenarios that require headcount or roll call. Real-time, attendance monitoring uses a web app that can be operated remotely by usinga localserverandAmazon Web Service (AWS) cloud recognition Application Programming Interface (API) [19] [20]. 3. Proposed Methodology A. System Overview: The main objective of the system is to detect the faces ofeach student froman image and then recognize the faces bycross- referencing the detected faces with the ones stored in the system. This system also can detect and recognize multiple faces and when the faces are detected properly, it marks the recognized face attendance on the Excel sheet. The system starts with storing the face data of different students or people with proper labels for creating a dataset. These images will be used forcomparing the faces present in the group image. For recognizing faces, the Face-Net algorithm is used. After the datasetiscreatedtheinformation of the student or the employee is added like ID, Name, Class, Branch, Department, etc. This data is then stored in the Excel sheet and if forany reason the entry of data getswrong,itcan be updated or deleted. The command to capture the image is given to the camera. The camera captures and stores the image and then compares the captured image with the dataset image of faces. The person whose faceismatched,his or her name, and other details are marked in the Excel sheet. Fig-1: Block Diagram
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 12 | Dec 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 165 B. Methodology The different parts of the system can be group into four main stages. These are: • Data Entry • Dataset Training • Face Recognition • Attendance Entry These stages are being discussed in the following section. 1) Data Entry: The first step is to include the faces of the students in the system for creating a dataset For this, continuous photos of each of the enrolled students are taken by the system from a group photo, along with their names and IDs. It is preferred that the students have different head positions during this time to create a better dataset. The setting can be changed to increase the number of pictures taken to make a more accuratedataset. A folder for each student is createdwiththe corresponding student’s name and ID asthelabel.Eachofthe pictures of faces is then saved in that student’s designated folder. Besides this process, previously taken pictures of the enrolled students can be added tothedatasettomakeitmore diverse. In this case, the new photos will be saved in that student’s previously created folder. After every data entry, the system is automatically trained using the currently available dataset. So, the system is already set to be used any time after the student’s data has been entered. 2) Information Entry: In this section, the information of the individual is filled in and stored in the database. Now if the label to an image is given as a person's name and while filling in the information the person fills in his name then when the face recognition process is performed the system will use the name that is stored in the database to recognize the image of that person. This is only possible when the image label is of a person's name. And then if the image is matched then based on that name other details are also marked in the database as attendance like ID and Roll-no. If in any case the detail of an individual is entered wrong then it can be immediately deleted or updated using the system. 3) Face Recognition: In this step, the system can be set up by putting a camera in a good position where it has a clear view of the students. The system can then detect the faces of the students from the group photo captured by the camera. The detected faces are then compared to the stored dataset. A confidence value is assigned to each of the matches. The match with the highest confidence is selectedand the label, which isthenameandID of the student, is extracted. If there is not a match of a high enough accuracy, then the student is labeled as ‘Unknown’. Fig-2: Data Entry Fig-3: Flowchart Fig-4: Overall Processing
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 12 | Dec 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 166 4) Attendance Entry: By taking the data from the captured image, the names and IDs of the recognized students are automatically logged on a daily attendance spreadsheet along with the date, time, and period name. Students can track their attendance daily. It marks attendance for a specific day or specific class using it the attendance-taking process makes it easier. 4. Implementation The proposed system is developed using Python. With the help of Tkinter, is simple to use and comes included with Python, making it a popular choice for creating basic GUI applications. We have created the GUI (Graphical User Interface). The whole system lies around Idlib, Dlib is widely used in computer vision research and applications due to its high-performance capabilities and face recognition library which are used for recognizing and detecting faces. We have created different system for performing different tasks. The pages are presented next. A. The main system: The main system is shown in the figure. It contains different buttons which can perform different tasks. In the train data button, wecan add the dataset imagesandafterthat,oncewe have added all the data, we can check how many faces data we have collected. Now in fig4, it is shown that when the train data button is pressed the dataset which contains all the images is open. Here we can add and remove any image and we can also see the quality of the image and can also check the labels B. Adding data: In this way, the individual can add their information and it will be saved on the database. If the individual filled wrong information due for some reason, then it can be deleted or updated using the two buttons. C. Taking Attendance: The captureimage button is used to capturethegroupimage. The camera is placed in the class and whenthecaptureimage button is pressed the camerapresentintheclasscapturesthe image of the students and saves the image on the system. After capturing the image, the face detector will compare the image faces with the dataset imagesand recognizethem.And if the face is matched then it will show the faceswiththelabel name. After capturing the image, the face detector will compare the image faces with the dataset images and recognize them. And if the face is matched then it will show the faces with the label name. D. Showing Attendance After taking attendance the faces, which are recognized their details are marked on the Excel sheet. Using the label name, also adds other all details to the database. The label name is preferred to add the individual name. Fig-5: Main System Fig-6:Student Section Fig-7:Taking Attendance
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 12 | Dec 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 167 Equation: R²A²AS = ∫ (FNA × RT) dt (Equation 1) R²A²AS: Represents "Real Time Advance Automated Attendance System." FNA: Represents the "Face-Net Algorithm." RT: Represents "Real-Time." ∫: Represents integration, highlighting the continuous and dynamic nature of attendance tracking over time. t: Represents time, indicating the temporal aspect of attendance management. Quantify the accuracy of face detection using the ratio of true positive (TP) detections to the total faces detected (TFD): Accuracy % = (TP / TFD) × 100. (Equation 2) Calculatethe attendancepercentagebydividingthereal-time attendance by the total class duration (T): Attendance % = (RAAS / T) × 100. (Equation 3) 4. Result and Discussion The ultimateaim of thissystemistorevolutionizeattendance management in educational institutions by introducing an advanced Camera-Based Attendance System that not only automates the process but also enhances theoveralllearning experience. By seamlessly integrating cutting-edge technology, data security measures, and user-friendly interfaces, our system aims to set new standards for efficiency,accuracy, and convenience in attendancetracking, ultimately contributing to the advancement of educational practices worldwide. The overall accuracy of proposed system is as follow: The representation of comparison of total faces out of how many correctly recognizedand how many falsely recognized are shown below which indicates 100% accuracy by recognizing all the faces correctly. The representation of comparison of total faces out of how many falsely recognized are shown in which indicates 100% accuracy by not showing single false recognition. Fig-8:Showing Attendance Table.1. Accuracy Comparison Fig-10: Correct Recognition of total faces Fig-9: Accuracy
6.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 12 | Dec 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 168 CONCLUSION The Face Recognition-Based Attendance System for Classroom Environment marks a notable milestone in the ongoing digitization of education. By seamlessly integrating facial recognition technology, database management, and Excel integration, this system provides a comprehensive solution that stands to benefit educational institutions seeking to optimize their administrative processes while maintaining a strong commitment to data privacy and accuracy. This system serves as a testament to the transformativepoweroftechnologyinenhancingeducational practices and administrative efficiency. REFERENCES [1] S. S. Pawaskar and A. M. Chavan, “Face recognition- based class management and attendance system,” in 2020 IEEE Bombay Section Signature Conference, IBSSC 2020, Institute of Electrical and Electronics Engineers Inc., Dec. 2020,pp.180–185.doi:10.1109/IBSSC51096.2020.9332212. [2] Vaigai College of Engineering and Institute of Electrical and Electronics Engineers, Proceedings of the International Conference on Intelligent Computing and Control Systems (ICICCS 2020) : 13-15 May, 2020. [3] Universitas Amikom Yogyakarta, Universitas Amikom Yogyakarta. IEEE Student Branch, Institute of Electrical and Electronics Engineers. Indonesia Section, and Institute of Electrical and Electronics Engineers, 2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) : proceedings : 1-2 November 2017, Yogyakarta, Indonesia. [4] KongunaduCollegeofEngineering&Technologyand Institute of Electrical andElectronicsEngineers,Proceedings, International Conference on Smart Electronics and Communication (ICOSEC 2020) : 10-12, September 2020. [5] A. Zainudin et al., Proceedings, IES 2019 : IES, International Electronics Symposium : Surabaya, Indonesia, September 27-28, 2019 : the Role of Techno-intelligence in Creating an Open Energy System Towards Energy Democracy. [6] S. K. Gupta, T. S. Ashwin, and R. M. Reddy Guddeti, “CVUCAMS: Computer vision based unobtrusive classroom attendance management system,” in Proceedings-IEEE18th International Conference on Advanced Learning Technologies, ICALT 2018, Institute of Electrical and Electronics Engineers Inc., Aug. 2018, pp. 101–102. doi: 10.1109/ICALT.2018.00131. [7] E. O. Akay, K. O. Canbek, and Y. Oniz, “Automated Student Attendance System Using Face Recognition,” in 4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., Oct. 2020. doi: 10.1109/ISMSIT50672.2020.9255052. [8] 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2017. [9] P. Pattnaik and K. K. Mohanty,“AI-BasedTechniques forReal-TimeFace Recognition-based AttendanceSystem-A comparative Study,” in Proceedings of the 4th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2020, Institute of Electrical and Electronics Engineers Inc., Nov. 2020, pp. 1034–1039. doi: 10.1109/ICECA49313.2020.9297643. [10] A. Bansal, A. Singhal, Amity University. School of Engineering and Technology. Department of Computer Science and Engineering, Amity University, Institute of Electrical and Electronics Engineers. Uttar Pradesh Section, and Institute of Electrical and Electronics Engineers, Proceedings of the 7th International Conference Confluence 2017 on Cloud Computing, Data Science and Engineering : 12th-13th January 2017, Amity University, Noida, Uttar Pradesh, India. [11] N. Krishnan, Annual IEEE Computer Conference, T. IEEE International ConferenceonComputationalIntelligence and Computing Research 4 2013.12.26-28 Madurai, and T. IEEE ICCIC 4 2013.12.26-28 Madurai, IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2013 26-28 Dec. 2013, Madurai, Tamilnadu, India. [12] X. Guo and S. Zhang, “Design of Time Attendance System in Coal PreparationPlantBasedonFaceRecognition.” [13] R. Fu, D. Wang, D. Li, and Z. Luo, “University Classroom Attendance Based on Deep Learning,” in Proceedings - 10th International Conference on Intelligent Computation Technology and Automation, ICICTA 2017, Institute of Electrical and Electronics Engineers Inc., Oct. 2017, pp. 128–131. doi: 10.1109/ICICTA.2017.35. Fig-11: False Recognition of total
7.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 12 | Dec 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 169 [14] S. A. Sivakumar, T. J. John, G. T. Selvi, B. Madhu,C.U. Shankar, and K. P. Arjun, “IoT based Intelligent Attendance Monitoring with Face Recognition Scheme,” in Proceedings - 5th International Conference on Computing Methodologies and Communication, ICCMC 2021, Institute of Electrical and Electronics Engineers Inc., Apr. 2021, pp. 349–353. doi: 10.1109/ICCMC51019.2021.9418264. [15] IEEE Staff, 2019 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). IEEE, 2019. [16] A. Kumar, M. Sharma, S. P. Gautam, R. Kumar, and S. Raj, “Attendance Management System using Facial Recognition,” in 2020 International Conference on Decision Aid Sciences and Application, DASA 2020, Institute of Electricaland Electronics Engineers Inc., Nov. 2020,pp.228– 232. doi: 10.1109/DASA51403.2020.9317104. [17] D. Brown, “Mobile Attendance based on Face Detectionand RecognitionusingOpenVINO,”inProceedings- International Conference on Artificial Intelligence andSmart Systems, ICAIS 2021, Institute of Electrical and Electronics Engineers Inc., Mar. 2021, pp. 1152–1157. doi: 10.1109/ICAIS50930.2021.9395836. [18] 2016 International Conference on Microelectronics, Computing and Communications (MicroCom). IEEE, 2016. [19] R. Muthunagai, D. Muruganandhan, and P. Rajasekaran, “Classroom Attendance Monitoring Using CCTV,” in 2020 International Conference on System, Computation, Automation and Networking, ICSCAN 2020, InstituteofElectricalandElectronicsEngineersInc.,Jul.2020. doi: 10.1109/ICSCAN49426.2020.9262436. [20] Institut Teknologi Bandung. School of Electrical Engineering and Informatics, IEEE Solid-State Circuits Society. Indonesia Chapter, IEEE Electron Devices Society. Indonesia Chapter, and Institute of Electrical and Electronics Engineers, Proceeding, 2019 International Symposium on Electronics and Smart Devices (ISESD) : Bali, October 8-9, 2019.
Download now