This document describes a study that implemented an attendance tracking system using face recognition. The system aims to automatically record students' attendance during lectures using facial recognition technology instead of manual methods. It discusses existing manual and computer-based attendance systems and proposes a system that uses PCA (Principal Component Analysis) face recognition techniques to detect and recognize students' faces from images captured during lectures in order to mark their attendance automatically. The system architecture involves enrolling students by taking their images and extracting features, then acquiring new images during lectures, enhancing them, detecting and recognizing faces to mark attendance on a server database. The study implemented this system using Visual Studio 2010 and MS SQL Server 2008 and found it could successfully recognize faces and record attendance.
Face Recognition Based Attendance System using Machine LearningYogeshIJTSRD
In the era of modern technologies emerging at rapid pace there is no reason why a crucial event in education sector such as attendance should be done in the old boring traditional way. Attendance monitoring system will save a lot of time and energy for the both parties teaching staff as well as the students. Attendance will be monitored by the face recognition algorithm by recognizing only the face of the students from the rest of the objects and then marking the students as present. The system will be pre feed with the images of all the students enrolled in the class and with the help of this pre feed data the algorithm will detect the students who are present and match the features with the already saved images of the students in the database. Benazir Begum A | Sreeyuktha R | Haritha M P | Vishnuprasad "Face Recognition Based Attendance System using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd39856.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/39856/face-recognition-based-attendance-system-using-machine-learning/benazir-begum-a
This documentation provides a brief insight of face recognition based attendance system using neural networks in terms of product architecture which can be used for educational purpose.
Attendance Management System using Face RecognitionNanditaDutta4
The project ppt presentation is made for the academic session for the completion of the work from Bharati Vidyapeeth Deemed University(IMED) MCA department
Face Recognition Based Attendance System using Machine LearningYogeshIJTSRD
In the era of modern technologies emerging at rapid pace there is no reason why a crucial event in education sector such as attendance should be done in the old boring traditional way. Attendance monitoring system will save a lot of time and energy for the both parties teaching staff as well as the students. Attendance will be monitored by the face recognition algorithm by recognizing only the face of the students from the rest of the objects and then marking the students as present. The system will be pre feed with the images of all the students enrolled in the class and with the help of this pre feed data the algorithm will detect the students who are present and match the features with the already saved images of the students in the database. Benazir Begum A | Sreeyuktha R | Haritha M P | Vishnuprasad "Face Recognition Based Attendance System using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd39856.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/39856/face-recognition-based-attendance-system-using-machine-learning/benazir-begum-a
This documentation provides a brief insight of face recognition based attendance system using neural networks in terms of product architecture which can be used for educational purpose.
Attendance Management System using Face RecognitionNanditaDutta4
The project ppt presentation is made for the academic session for the completion of the work from Bharati Vidyapeeth Deemed University(IMED) MCA department
Face recognition attendance system using Local Binary Pattern (LBP)journalBEEI
Attendance is important for university students. However, generic way of taking attendance in universities may include various problems. Hence, a face recognition system for attendance taking is one way to combat the problem. This paper will present an automated system that will automatically saves student’s attendance into the database using face recognition method. The paper will elaborate on student attendance system, image processing, face detection and face recognition. The face detection part will be done by using viola-jones algorithm method while the face recognition part will be carried on by using local binary pattern (LBP) method. The system will ensure that the attendance taking process will be faster and more accurate.
A Real-time Classroom Attendance System Utilizing Viola–Jones for Face Detect...Nischal Lal Shrestha
Abstract
The face of a human is crucial for conveying identity.
Computer scientists, Neuro
scientists, and psychologists, all exploits this human feature using image processing
techniques for commercial, and law enforcement applications. Likewise, this feature
can be invited into classrooms to maintain records of students’ attendance.
Con-
temporary traditional way of recording attendance involves human intervention and
requires cooperation of the students which is hectic and contribute towards waste of
class time.
An automated real-time classroom attendance system detects students
from still image or video frame coming from a digital camera, and marks his/her
attendance by recognizing them.
The system utilizes Viola–Jones object detection
framework which is capable of processing images extremely rapidly with high detec-
tion rates. In the next stage, the detected face in the image is recognized using Local
Binary Patterns Histogram.
Keywords– Computer
vision; face detection; face recognition; feature extraction;
image processing; Local Binary Patterns Histogram; object detection; Viola-Jones
object detection.
Face Recognition Based Attendance System with Auto Alert to Guardian using Ca...ijtsrd
Now a days the wise attending management system victimization face detection techniques. Daily attending marking could also be a typical and vital activity in colleges and colleges for checking the performance of students. Manual attending maintaining is tough methodology, significantly for large cluster of students. Some machine driven systems developed to x beat these difficulties, have drawbacks like worth, faux attending, accuracy, meddlesomeness. To beat these drawbacks, there is need of good and automatic attending system. We've a bent to unit implementing attending system victimization face recognition. Since face is exclusive identity of person, the problem of pretend attending and proxies could also be resolved. The system uses native binary pattern face recognition technique because it is fast, straightforward and has larger success rate. Also, its pro vision to have an effect on intensity of sunshine draw back and head produce draw back that produces it effective. This wise system could also be degree effective because of maintain the degree will less squat recognition system is planned supported appearance based choices that concentrate on the shortened squatter image rather than native countenance. The remainder step in squatter recognition system is squatter detection Viola Jones squatter detection methodology that capable of method photos terribly whereas achieving higher detection rates is utilized. The complete squatter recognition methodology could also be divided into a pair of parts squatter detection and squatter identification. For face detection, Viola Jones face detection methodology has been used out of the many face detection ways that. Once face detection, face is cropped from the actual image to urge obviate the background. Chemist faces and shear faces ways that are used for face identification. Average photos of subjects area unit used as coaching job set to spice up the accuracy of identification. Diksha Ghare | Prajakta Katakdhod | Shraddha Ujgare | Komal Suskar | Prof. Amruta Surana ""Face Recognition Based Attendance System with Auto Alert to Guardian using Call and SMS"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23928.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/23928/face-recognition-based-attendance-system-with-auto-alert-to-guardian-using-call-and-sms/diksha-ghare
SmartPoly is secure and easy to use communication platform that empowers teacher and students. Android college management system is an android application which is helpful for students as well as the colleges. In the existing system all the activities are done manually. It is very costly and time consuming .In our proposed system students can view results using Android phones. The data will view stored in the college server. The faculty can login into their college account through the app itself and update the academic result, in this system, student have easy access for viewing the marks by Prof. Chougule V. V, Mr. Birajdar Dattatraya P, Miss. Deshmukh Akanksha B and Mr. Choudhari Jalilahamad M 2018. Smartpoly Android Application. International Journal on Integrated Education. 1, 1 (Dec. 2018), 67-70 https://journals.researchparks.org/index.php/IJIE/article/view/786/755 https://journals.researchparks.org/index.php/IJIE/article/view/786
Andro Attendance – Marking Attendance with Android ApplicationIJARIIT
Andro Attendance is the android application developed to manage daily student attendance in colleges. The Mobile Phone Based Attendance System will help the lecturers to take attendance easily, securely and without errors. This system will be used to reduce the fake attendance and also reduce the waste of the time. Lecturer will be able to view the attendance by this App. After taking the attendance in the Android mobile, attendance will be send to the server.
Smart Portal: A Platform for Student's Profile Creation, Evaluation and Clust...vivatechijri
In today's era where almost everything is digitized, even then at the end of the day we have to come across the paperwork when it comes to document submission and verification for any process. As a result, with increased advancement in the technology, easy availability and access of data and documents is the main concern. This project is intended to develop an application based system where student data and documents will be stored on a server and create a smart profile on the basis of student data. Student can also use that data and document anywhere anytime. The main aim is to provide a common application for all parts of education. Where each necessary details and document of a student will be available on one single portal also can be accessible by other higher authorities. Additionally, evaluating the profile and clustering of students can be done for better recommendation.
The Smart Portal system will be useful in document extraction during the admission process as well as it will be used for requirement of details and document of a candidate during interview. Students can upload their data and documents on the server after registration. Then their data will be analysed by the system by evaluating and clustering. This data is retrieved using QR code scanning system or Email verification/ OTP.
Face recognition technology is the least intrusive and fastest bio-metric technology invented so for. The accurate recognition of a person is the sole aim of a face recognition system and this identification may be used for further processing. The methods to exploit this physical feature have seen a great change since the advent of image processing techniques. Here, the camera detects and recognizes the persons while them entering the door and then sends their personal information to the host to generate a 3D Facial Model. The proposed system will update the attendance once the students face is match with the template database. This paper describes the working of the face recognition system that will be deployed as an Automated Attendance System in a classroom environment.
Face recognition attendance system using Local Binary Pattern (LBP)journalBEEI
Attendance is important for university students. However, generic way of taking attendance in universities may include various problems. Hence, a face recognition system for attendance taking is one way to combat the problem. This paper will present an automated system that will automatically saves student’s attendance into the database using face recognition method. The paper will elaborate on student attendance system, image processing, face detection and face recognition. The face detection part will be done by using viola-jones algorithm method while the face recognition part will be carried on by using local binary pattern (LBP) method. The system will ensure that the attendance taking process will be faster and more accurate.
A Real-time Classroom Attendance System Utilizing Viola–Jones for Face Detect...Nischal Lal Shrestha
Abstract
The face of a human is crucial for conveying identity.
Computer scientists, Neuro
scientists, and psychologists, all exploits this human feature using image processing
techniques for commercial, and law enforcement applications. Likewise, this feature
can be invited into classrooms to maintain records of students’ attendance.
Con-
temporary traditional way of recording attendance involves human intervention and
requires cooperation of the students which is hectic and contribute towards waste of
class time.
An automated real-time classroom attendance system detects students
from still image or video frame coming from a digital camera, and marks his/her
attendance by recognizing them.
The system utilizes Viola–Jones object detection
framework which is capable of processing images extremely rapidly with high detec-
tion rates. In the next stage, the detected face in the image is recognized using Local
Binary Patterns Histogram.
Keywords– Computer
vision; face detection; face recognition; feature extraction;
image processing; Local Binary Patterns Histogram; object detection; Viola-Jones
object detection.
Face Recognition Based Attendance System with Auto Alert to Guardian using Ca...ijtsrd
Now a days the wise attending management system victimization face detection techniques. Daily attending marking could also be a typical and vital activity in colleges and colleges for checking the performance of students. Manual attending maintaining is tough methodology, significantly for large cluster of students. Some machine driven systems developed to x beat these difficulties, have drawbacks like worth, faux attending, accuracy, meddlesomeness. To beat these drawbacks, there is need of good and automatic attending system. We've a bent to unit implementing attending system victimization face recognition. Since face is exclusive identity of person, the problem of pretend attending and proxies could also be resolved. The system uses native binary pattern face recognition technique because it is fast, straightforward and has larger success rate. Also, its pro vision to have an effect on intensity of sunshine draw back and head produce draw back that produces it effective. This wise system could also be degree effective because of maintain the degree will less squat recognition system is planned supported appearance based choices that concentrate on the shortened squatter image rather than native countenance. The remainder step in squatter recognition system is squatter detection Viola Jones squatter detection methodology that capable of method photos terribly whereas achieving higher detection rates is utilized. The complete squatter recognition methodology could also be divided into a pair of parts squatter detection and squatter identification. For face detection, Viola Jones face detection methodology has been used out of the many face detection ways that. Once face detection, face is cropped from the actual image to urge obviate the background. Chemist faces and shear faces ways that are used for face identification. Average photos of subjects area unit used as coaching job set to spice up the accuracy of identification. Diksha Ghare | Prajakta Katakdhod | Shraddha Ujgare | Komal Suskar | Prof. Amruta Surana ""Face Recognition Based Attendance System with Auto Alert to Guardian using Call and SMS"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23928.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/23928/face-recognition-based-attendance-system-with-auto-alert-to-guardian-using-call-and-sms/diksha-ghare
SmartPoly is secure and easy to use communication platform that empowers teacher and students. Android college management system is an android application which is helpful for students as well as the colleges. In the existing system all the activities are done manually. It is very costly and time consuming .In our proposed system students can view results using Android phones. The data will view stored in the college server. The faculty can login into their college account through the app itself and update the academic result, in this system, student have easy access for viewing the marks by Prof. Chougule V. V, Mr. Birajdar Dattatraya P, Miss. Deshmukh Akanksha B and Mr. Choudhari Jalilahamad M 2018. Smartpoly Android Application. International Journal on Integrated Education. 1, 1 (Dec. 2018), 67-70 https://journals.researchparks.org/index.php/IJIE/article/view/786/755 https://journals.researchparks.org/index.php/IJIE/article/view/786
Andro Attendance – Marking Attendance with Android ApplicationIJARIIT
Andro Attendance is the android application developed to manage daily student attendance in colleges. The Mobile Phone Based Attendance System will help the lecturers to take attendance easily, securely and without errors. This system will be used to reduce the fake attendance and also reduce the waste of the time. Lecturer will be able to view the attendance by this App. After taking the attendance in the Android mobile, attendance will be send to the server.
Smart Portal: A Platform for Student's Profile Creation, Evaluation and Clust...vivatechijri
In today's era where almost everything is digitized, even then at the end of the day we have to come across the paperwork when it comes to document submission and verification for any process. As a result, with increased advancement in the technology, easy availability and access of data and documents is the main concern. This project is intended to develop an application based system where student data and documents will be stored on a server and create a smart profile on the basis of student data. Student can also use that data and document anywhere anytime. The main aim is to provide a common application for all parts of education. Where each necessary details and document of a student will be available on one single portal also can be accessible by other higher authorities. Additionally, evaluating the profile and clustering of students can be done for better recommendation.
The Smart Portal system will be useful in document extraction during the admission process as well as it will be used for requirement of details and document of a candidate during interview. Students can upload their data and documents on the server after registration. Then their data will be analysed by the system by evaluating and clustering. This data is retrieved using QR code scanning system or Email verification/ OTP.
Face recognition technology is the least intrusive and fastest bio-metric technology invented so for. The accurate recognition of a person is the sole aim of a face recognition system and this identification may be used for further processing. The methods to exploit this physical feature have seen a great change since the advent of image processing techniques. Here, the camera detects and recognizes the persons while them entering the door and then sends their personal information to the host to generate a 3D Facial Model. The proposed system will update the attendance once the students face is match with the template database. This paper describes the working of the face recognition system that will be deployed as an Automated Attendance System in a classroom environment.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.