-Face Detection Attendance System
-Developed in language C#
-It has two modules first it takes student record by capturing its face then using pattern recognition it identifies the student
-Btech Final Year Project RKGIT,Ghaziabad
Final year project Course Evaluation System Based On NCEACSaad Abbasi
This is final year presentation of Course Evaluation system Based on NCEAC proforma .
Web Application .... With Angular Node Express And Mongodb . (MEAN) Application,
final year project with complete guide and documentation available if you want to get this contact me through my social accounts.
final year projects will provide you and i will make you understand actual working of this system you will be able to defend it.
Final year project documentation presentation source code and every thing whatever you need will be provided related to project. you can learn for other resources on my website www.mcqser.com
This document summarizes a student presentation on a face recognition lecture attendance system. The system uses image processing and comparison to recognize students' faces from a high-definition camera feed and compare them to a database to take attendance. It is controlled by the faculty member, who instructs the system to start and end recording. The system is intended to smartly track that students remain for the entire lecture session and also function as surveillance. At the end, it reverts a full attendance report back to a central database. Diagrams including class, activity, sequence and use case diagrams are also presented to depict the system workflow and actors.
Mini Project2019-22_StudentManagementSystem (1).pptxSachuS16
The document describes a proposed student management system that aims to simplify generating student performance reports. The existing manual process of creating Excel sheets is time-consuming. The proposed system allows teachers to upload student results and automatically generates performance reports. It also allows students to view their academic performance by subject, year, or semester. The system requirements, design phases including flowcharts and DFDs, and some sample code functionality are outlined. Future enhancements could include additional features like attendance tracking and social media-like college updates.
This document outlines a three-day lesson plan for a 10th grade computer systems servicing class on installing and configuring operating systems and device drivers. On day one, the teacher reviews the process of making a bootable USB and explains why operating systems and drivers are installed. Students learn how to install Windows Server and drivers through a tell-show-do approach. On day two, students practice the installation process in groups and receive a group grade. Day three involves individual practice and grading of the installation of Windows Server and device drivers according to a performance criteria rubric.
project synopsis face recognition attendance systemAnkitRao82
This document summarizes the proposed development of a face recognition system for student attendance. The key objectives are to automate attendance tracking through facial recognition to reduce manual errors and increase efficiency. The methodology uses image capture, face detection, preprocessing, database development and post processing. Features will be extracted from images using LBP and PCA for classification and recognition. A feasibility study found the system would be operationally and technically feasible with no need for additional hardware or software costs.
This project aims to manage students attendance and other management in colleges.
It is online web application using higher end open source technologies.
The document describes an internship management system being developed for the SNNPRs Science and Information Technology Bureau. The system aims to facilitate online communication between students, supervisors, universities, and directorates regarding internships. It seeks to address issues with the current manual system such as insufficient information about internships, redundant data entry, and unclear communication of evaluation results. The proposed online system will standardize processes, reduce paperwork, and improve system performance and efficiency through functions like managing student records, applications, and reports. It will enable users to view announcements, monitor student progress, and evaluate results. The system will follow an iterative development process and address requirements for functionality, security, user experience and other quality attributes.
This document proposes a facial recognition-based attendance system for schools as an alternative to traditional ID card-based systems. It discusses collecting facial images of students and training a neural network using Haar wavelet and deep learning techniques to recognize faces and mark attendance automatically. The system was tested on 70 students across two classes and showed high accuracy in recognizing students and recording their attendance quickly without human error. Some benefits highlighted include improved security, automation, and elimination of buddy punching or manual errors compared to traditional ID card systems. Overall, the research demonstrates that facial recognition can effectively be used to develop an automated attendance management system for schools.
Final year project Course Evaluation System Based On NCEACSaad Abbasi
This is final year presentation of Course Evaluation system Based on NCEAC proforma .
Web Application .... With Angular Node Express And Mongodb . (MEAN) Application,
final year project with complete guide and documentation available if you want to get this contact me through my social accounts.
final year projects will provide you and i will make you understand actual working of this system you will be able to defend it.
Final year project documentation presentation source code and every thing whatever you need will be provided related to project. you can learn for other resources on my website www.mcqser.com
This document summarizes a student presentation on a face recognition lecture attendance system. The system uses image processing and comparison to recognize students' faces from a high-definition camera feed and compare them to a database to take attendance. It is controlled by the faculty member, who instructs the system to start and end recording. The system is intended to smartly track that students remain for the entire lecture session and also function as surveillance. At the end, it reverts a full attendance report back to a central database. Diagrams including class, activity, sequence and use case diagrams are also presented to depict the system workflow and actors.
Mini Project2019-22_StudentManagementSystem (1).pptxSachuS16
The document describes a proposed student management system that aims to simplify generating student performance reports. The existing manual process of creating Excel sheets is time-consuming. The proposed system allows teachers to upload student results and automatically generates performance reports. It also allows students to view their academic performance by subject, year, or semester. The system requirements, design phases including flowcharts and DFDs, and some sample code functionality are outlined. Future enhancements could include additional features like attendance tracking and social media-like college updates.
This document outlines a three-day lesson plan for a 10th grade computer systems servicing class on installing and configuring operating systems and device drivers. On day one, the teacher reviews the process of making a bootable USB and explains why operating systems and drivers are installed. Students learn how to install Windows Server and drivers through a tell-show-do approach. On day two, students practice the installation process in groups and receive a group grade. Day three involves individual practice and grading of the installation of Windows Server and device drivers according to a performance criteria rubric.
project synopsis face recognition attendance systemAnkitRao82
This document summarizes the proposed development of a face recognition system for student attendance. The key objectives are to automate attendance tracking through facial recognition to reduce manual errors and increase efficiency. The methodology uses image capture, face detection, preprocessing, database development and post processing. Features will be extracted from images using LBP and PCA for classification and recognition. A feasibility study found the system would be operationally and technically feasible with no need for additional hardware or software costs.
This project aims to manage students attendance and other management in colleges.
It is online web application using higher end open source technologies.
The document describes an internship management system being developed for the SNNPRs Science and Information Technology Bureau. The system aims to facilitate online communication between students, supervisors, universities, and directorates regarding internships. It seeks to address issues with the current manual system such as insufficient information about internships, redundant data entry, and unclear communication of evaluation results. The proposed online system will standardize processes, reduce paperwork, and improve system performance and efficiency through functions like managing student records, applications, and reports. It will enable users to view announcements, monitor student progress, and evaluate results. The system will follow an iterative development process and address requirements for functionality, security, user experience and other quality attributes.
This document proposes a facial recognition-based attendance system for schools as an alternative to traditional ID card-based systems. It discusses collecting facial images of students and training a neural network using Haar wavelet and deep learning techniques to recognize faces and mark attendance automatically. The system was tested on 70 students across two classes and showed high accuracy in recognizing students and recording their attendance quickly without human error. Some benefits highlighted include improved security, automation, and elimination of buddy punching or manual errors compared to traditional ID card systems. Overall, the research demonstrates that facial recognition can effectively be used to develop an automated attendance management system for schools.
SMART ATTENDANCE SYSTEM USING FACE RECOGNITION (233.pptxBikashUpadhaya1
This document presents a smart attendance system using face recognition. The system aims to automate the attendance process using face detection and recognition instead of manual or traditional methods. It discusses capturing student faces with a camera, training a database with student images, detecting faces in new images and matching them to the database to mark attendance accurately and reduce issues like proxy attendance. It provides an overview of the methodology, system design including data flow and architecture diagrams, and demonstrates the system with some sample outputs.
Registration System for Training Program in STCalraee
The document summarizes two IT projects completed by the author during an internship at Saudi Telecom Company (STC):
1. A Registration System for Training Programs (RSTP) to automate trainee registration and tracking. The system was developed using Visual Basic and an Access database.
2. A Task Management System (TMS) to manage multi-level tasks with email notifications. Both systems are now in use at STC.
The author concludes they gained experience in project management, programming skills like VB and SQL, and recommends tracking systems to enhance internship management between universities and companies.
This document provides an introduction and overview for a Software Engineering course. It outlines the course details including the instructor's information, class schedules, grading policy, textbooks, and topics that will be covered such as what is software, software quality, and software engineering. The key topics are software engineering as an engineering discipline for systematic and quantifiable software development, and the main challenges in software development are high costs, delays, and low quality. The objective of software engineering is to develop methods to consistently deliver high-quality software at low cost that can scale up for complex projects.
ERP on School Management System..
This project made in jsp-servlet with MVC Pattern..
If anybody wants Source code of this project then send me mai on amitgandhi005@gmail.com.. Its Free..
If any doubts regarding this Documentation and presentation then also u can send me email....
Presentation on Dance Academy Management System Projectmegha walunj
The web based system, it will be able to present viewer all related information about the academy as a normal website in the internet.
At the same time allows management task to be done on the system.
the system will not only provide a good marketing tool but also as a Good management tool.
The system will cater all the requirements required by Indian Dance Academy.
This project report describes a college admission system created by Sourabh Upadhyay. The report includes an acknowledgement, table of contents, and sections on the introduction, problem specification, background/related work, scope, goals, hardware requirements, proposed system overview, flow charts, HTML frameworks for registration, enrollment and examination forms, output screens, and a conclusion. The system was created to automate the manual college admission process and reduce time and effort.
Automated Evaluator for Bharatanatyam (Nritta)Renu Hiremath
The document discusses an automated system to evaluate Bharatanatyam dance performances. It captures video feeds from two cameras during a student's dance recital. The system then analyzes the video frames to detect joints and assess movement accuracy by comparing the student's performance to a gold standard choreography. Final scores and feedback are provided to help students identify areas for improvement.
Final major project presentation on (10 april2016) aits haldwaniVijay Singh Khatri
This document outlines a student project presentation for an Employee Management System (EMS). The presentation agenda includes an introduction to EMS and its objectives, a description of the project, methodology used, data flow diagrams, system requirements, key features, benefits, and a live demonstration. The project was developed by a group of students to simplify employee record management and make it more user friendly than a manual system.
Student management system university erpMehul Thakkar
This document is a project report submitted by Mehul Thakkar for the development of a Student Management System (SMS) as part of a University Enterprise Resource Planning (UERP) system. It includes details of the project such as an acknowledgement section, abstract, table of contents, chapters on the organizational profile, concept and fundamentals of the project, system analysis, design and development, software testing and implementation, a user manual and screen layouts, and a conclusion. The project aims to develop an integrated SMS solution to efficiently manage student information and records for a whole university in a digital format.
The document describes a proposed student database management system that would allow for automated management of student records including admissions, registration, course enrollment, attendance, examination results, fees, and more. It provides an overview of the system's purpose to centralize and simplify student record keeping. It outlines the system requirements, functional and non-functional requirements, proposed system features, and includes use case diagrams, data flow diagrams, sequence diagrams, and ER diagrams to model the system and its interactions.
The document describes a look-based media player that uses face detection and hand gesture recognition to control playback. The player pauses when the user's face is not detected looking at the screen and allows control of functions like volume and playback position using hand gestures detected by the webcam. The system is implemented using Haar cascade classifiers for face detection and aims to provide a more seamless media viewing experience by avoiding missed content when the user looks away. An evaluation found existing eye-tracking systems lacked accuracy, while the proposed combined use of face detection and hand gestures could more accurately control media playback.
The document summarizes a training program for professionals conducted over multiple batches. It provides statistics on the number of students in each batch and their placement outcomes. The training aimed to enhance students' technical skills in areas like programming and soft skills like communication. It covered subjects through lectures, labs, projects and activities. Most students received job placements in IT companies after completing the training.
This document discusses deep learning for video processing and applications. It begins by explaining that video can be processed as batches of frames using convolutional neural networks (CNNs) and recurrent neural networks (RNNs) like LSTMs. Examples of applications that require video processing are self-driving cars using video semantic segmentation, robots using action recognition, and video tagging for YouTube. The document then reviews different deep learning architectures for video like STFCN, C3D, ResNet, and Highway Networks. It also discusses weakly supervised and unsupervised methods for video using large unlabeled datasets. The document concludes by mentioning hardware and frameworks commonly used for deep learning like TensorFlow and recommendations for distributed training.
This document proposes the development of an Internship Information System (INTERNIS) to help companies better manage internship programs. It outlines problems with current methods of finding and tracking interns. The proposed system would allow companies to store student information, track performance, and generate reports. It would give administrators, coordinators and students different functionalities. The document discusses the rapid application development methodology that will be used and reviews similar existing systems. It provides hardware and software requirements, data flow diagrams, and a timeline for the project. The goal is to help companies save costs while improving workplace quality and efficiency.
The document describes a project report for a Sport Management System. It was developed as part of a diploma course requirement and involved gathering requirements, documentation, development, coding, and testing following an SDLC process. The system aims to automate functions of a college like tracking student details from admission to graduation, generating reports, and facilitating communication between students and faculty. It addresses issues with the previous manual system like low functionality, erroneous data, lack of portability and security, and data redundancy.
face_reccognition attendance system using IoTMcaSai
This document outlines a project proposal for a face recognition based attendance system using Raspberry Pi. It will include functional blocks like face detection using the Viola Jones algorithm to identify faces in images and recognize students. The system will record attendance along with timestamps and store the data in a database. It aims to automate the attendance process making it more efficient and secure compared to manual systems. Required hardware includes a Raspberry Pi 4, USB camera and GSM module while Python will be used as the primary software. Relevant literature on face recognition techniques and Raspberry Pi implementations were also reviewed to support the project.
The document discusses Union Sanitary District's development of a competency-based training system. It outlines the need for the system due to a lack of existing training, regulatory requirements, and upcoming retirements. The system includes training modules with job competency requirements, assessments, and standard answers to define what competent performance looks like. Employees' knowledge and skills are assessed through practical demonstrations and written tests. Data from assessments is used for employee development, performance reviews, succession planning, and ensuring long-term staffing needs are met. The district provides train-the-trainer courses to develop subject matter experts who can effectively train other employees.
In the age of social media communication, it is easy to
modulate the minds of users and also instigate violent
actions being taken by them in some cases. There is a need
to have a system that can analyze the threat level of tweets
from influential users and rank their Twitter handles so
that dangerous tweets can be avoided going public on
Twitter before fact-checking which can hurt the sentiments
of people and can take the shape of violence. The study
aims to analyse and rank twitter users according to their
influential power and extremism of their tweets to help
prevent major protests and violent events. We scraped top
trending topics and fetched tweets using those hashtags.
We propose a custom ranking algorithm which considers
source based and content based features along with a
knowledge graph which generates the score and rank the
twitter users according to the scores. Our aim with this
study is to identify and rank extremist twitter users with
regards to their impact and influence. We use a technique
that takes into consideration both source based and
content-based features of tweets to generate the ranking of
the extremist twitter users having a high impact factor
Rm literature survey_on_scheduling_and_resource_allocation_for_ieee_80211ax_p...RESHAN FARAZ
This document summarizes literature on scheduling and resource allocation algorithms for IEEE 802.11ax wireless networks. It discusses key features of 802.11ax like OFDMA and higher modulation schemes. It then reviews several papers that propose algorithms using buffer status reports, grouping, and optimized resource unit allocation to improve throughput in dense environments. Overall resource allocation and scheduling remain challenging areas of research for fully utilizing 802.11ax capabilities and achieving high average throughput.
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This document presents a smart attendance system using face recognition. The system aims to automate the attendance process using face detection and recognition instead of manual or traditional methods. It discusses capturing student faces with a camera, training a database with student images, detecting faces in new images and matching them to the database to mark attendance accurately and reduce issues like proxy attendance. It provides an overview of the methodology, system design including data flow and architecture diagrams, and demonstrates the system with some sample outputs.
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The document summarizes two IT projects completed by the author during an internship at Saudi Telecom Company (STC):
1. A Registration System for Training Programs (RSTP) to automate trainee registration and tracking. The system was developed using Visual Basic and an Access database.
2. A Task Management System (TMS) to manage multi-level tasks with email notifications. Both systems are now in use at STC.
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This document provides an introduction and overview for a Software Engineering course. It outlines the course details including the instructor's information, class schedules, grading policy, textbooks, and topics that will be covered such as what is software, software quality, and software engineering. The key topics are software engineering as an engineering discipline for systematic and quantifiable software development, and the main challenges in software development are high costs, delays, and low quality. The objective of software engineering is to develop methods to consistently deliver high-quality software at low cost that can scale up for complex projects.
ERP on School Management System..
This project made in jsp-servlet with MVC Pattern..
If anybody wants Source code of this project then send me mai on amitgandhi005@gmail.com.. Its Free..
If any doubts regarding this Documentation and presentation then also u can send me email....
Presentation on Dance Academy Management System Projectmegha walunj
The web based system, it will be able to present viewer all related information about the academy as a normal website in the internet.
At the same time allows management task to be done on the system.
the system will not only provide a good marketing tool but also as a Good management tool.
The system will cater all the requirements required by Indian Dance Academy.
This project report describes a college admission system created by Sourabh Upadhyay. The report includes an acknowledgement, table of contents, and sections on the introduction, problem specification, background/related work, scope, goals, hardware requirements, proposed system overview, flow charts, HTML frameworks for registration, enrollment and examination forms, output screens, and a conclusion. The system was created to automate the manual college admission process and reduce time and effort.
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The document discusses an automated system to evaluate Bharatanatyam dance performances. It captures video feeds from two cameras during a student's dance recital. The system then analyzes the video frames to detect joints and assess movement accuracy by comparing the student's performance to a gold standard choreography. Final scores and feedback are provided to help students identify areas for improvement.
Final major project presentation on (10 april2016) aits haldwaniVijay Singh Khatri
This document outlines a student project presentation for an Employee Management System (EMS). The presentation agenda includes an introduction to EMS and its objectives, a description of the project, methodology used, data flow diagrams, system requirements, key features, benefits, and a live demonstration. The project was developed by a group of students to simplify employee record management and make it more user friendly than a manual system.
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This document is a project report submitted by Mehul Thakkar for the development of a Student Management System (SMS) as part of a University Enterprise Resource Planning (UERP) system. It includes details of the project such as an acknowledgement section, abstract, table of contents, chapters on the organizational profile, concept and fundamentals of the project, system analysis, design and development, software testing and implementation, a user manual and screen layouts, and a conclusion. The project aims to develop an integrated SMS solution to efficiently manage student information and records for a whole university in a digital format.
The document describes a proposed student database management system that would allow for automated management of student records including admissions, registration, course enrollment, attendance, examination results, fees, and more. It provides an overview of the system's purpose to centralize and simplify student record keeping. It outlines the system requirements, functional and non-functional requirements, proposed system features, and includes use case diagrams, data flow diagrams, sequence diagrams, and ER diagrams to model the system and its interactions.
The document describes a look-based media player that uses face detection and hand gesture recognition to control playback. The player pauses when the user's face is not detected looking at the screen and allows control of functions like volume and playback position using hand gestures detected by the webcam. The system is implemented using Haar cascade classifiers for face detection and aims to provide a more seamless media viewing experience by avoiding missed content when the user looks away. An evaluation found existing eye-tracking systems lacked accuracy, while the proposed combined use of face detection and hand gestures could more accurately control media playback.
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This document discusses deep learning for video processing and applications. It begins by explaining that video can be processed as batches of frames using convolutional neural networks (CNNs) and recurrent neural networks (RNNs) like LSTMs. Examples of applications that require video processing are self-driving cars using video semantic segmentation, robots using action recognition, and video tagging for YouTube. The document then reviews different deep learning architectures for video like STFCN, C3D, ResNet, and Highway Networks. It also discusses weakly supervised and unsupervised methods for video using large unlabeled datasets. The document concludes by mentioning hardware and frameworks commonly used for deep learning like TensorFlow and recommendations for distributed training.
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The document describes a project report for a Sport Management System. It was developed as part of a diploma course requirement and involved gathering requirements, documentation, development, coding, and testing following an SDLC process. The system aims to automate functions of a college like tracking student details from admission to graduation, generating reports, and facilitating communication between students and faculty. It addresses issues with the previous manual system like low functionality, erroneous data, lack of portability and security, and data redundancy.
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modulate the minds of users and also instigate violent
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to have a system that can analyze the threat level of tweets
from influential users and rank their Twitter handles so
that dangerous tweets can be avoided going public on
Twitter before fact-checking which can hurt the sentiments
of people and can take the shape of violence. The study
aims to analyse and rank twitter users according to their
influential power and extremism of their tweets to help
prevent major protests and violent events. We scraped top
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We propose a custom ranking algorithm which considers
source based and content based features along with a
knowledge graph which generates the score and rank the
twitter users according to the scores. Our aim with this
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regards to their impact and influence. We use a technique
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Reginald Jude Sixtus J and Tamilarasi Muthu, Puducherry Technological University, India
Abstract
Non-Orthogonal Multiple Access (NOMA) helps to overcome various difficulties in future technology wireless communications. NOMA, when utilized with millimeter wave multiple-input multiple-output (MIMO) systems, channel estimation becomes extremely difficult. For reaping the benefits of the NOMA and mm-Wave combination, effective channel estimation is required. In this paper, we propose an enhanced particle swarm optimization based long short-term memory estimator network (PSOLSTMEstNet), which is a neural network model that can be employed to forecast the bandwidth required in the mm-Wave MIMO network. The prime advantage of the LSTM is that it has the capability of dynamically adapting to the functioning pattern of fluctuating channel state. The LSTM stage with adaptive coding and modulation enhances the BER.PSO algorithm is employed to optimize input weights of LSTM network. The modified algorithm splits the power by channel condition of every single user. Participants will be first sorted into distinct groups depending upon respective channel conditions, using a hybrid beamforming approach. The network characteristics are fine-estimated using PSO-LSTMEstNet after a rough approximation of channels parameters derived from the received data.
Keywords
Signal to Noise Ratio (SNR), Bit Error Rate (BER), mm-Wave, MIMO, NOMA, deep learning, optimization.
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Develop a system in which we can maintain and record
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