Attendance Tracking Research Articles

Portable smart attendance system on Jetson Nano

The masked face recognition-based attendance management system is an important biometric-based attendance tracking solution, especially in light of the COVID-19 pandemic. Despite the use of various methods and techniques for face detection and recognition, there currently needs to be a system that can accurately recognize individuals while they are wearing a mask. This system has been designed to overcome the challenges of widespread mask use, impacting the effectiveness of traditional face recognition-based attendance systems. The proposed system uses an innovative method that recognizes individuals even while wearing a mask without the need for removal. With its high compatibility and real-time operation, it can be easily integrated into schools and workplaces through an embedded system like the Jetson Nano or conventional computers executing attendance applications. This innovative approach and its compatibility make it a desirable solution for organizations looking to improve their attendance-tracking process. The Experimental results indicates using maximum resources possible the execution time needed on Jetson Nano is 15 to 22 seconds and 14 to 18 seconds respectively and the average frame capture if there are at least one face detected on Jetson Nano is 3-4 frames.

Enhanced Security and Efficiency in Attendance Management: A Novel RFID and Arduino Integrated System

The advent of Radio Frequency Identification (RFID) technology has ushered in a new paradigm in the domain of automated attendance systems, offering a sophisticated yet user-friendly approach to personnel management. This paper presents a comprehensive study on the design and deployment of an RFID-based attendance system powered by the versatile Arduino platform, elucidating its operational tenets, system architecture, and practical implementations. At the heart of the system lies the MFRC522 RFID reader, which synergizes with an Arduino microcontroller to facilitate the identification and logging of attendance data. The system is enhanced by the inclusion of an SD Card Module for data storage and a Real-Time Clock (RTC) Module to ensure accurate timestamping of attendance events. The seamless integration of these components results in a robust mechanism that not only simplifies the attendance tracking process but also fortifies the security framework by leveraging unique identifiers for each user. The study spans the detailed process of assembling the hardware, crafting the software in the Arduino Integrated Development Environment (IDE), and meticulously testing the integrated system to affirm its efficacy. The resulting attendance system embodies a significant stride towards refining attendance management practices, eliminating the shortcomings of manual tracking while providing a scalable and reliable solution adaptable to various organizational settings.

College Federation

Abstract: The College Federation app bridges the gap between colleges and students through web and mobile access. It caters to faculty and students by streamlining communication (announcements, etc.), resource sharing, attendance tracking, and file exchange. This one-stop shop aims to both improve education and compete with social media. unlike social media, College Federation prioritizes academics. It omits student-to-student chat, profiles, and updates to minimize distractions. The focus is clear: enhance communication between faculty and students in a focused environment. Recognizing variable connectivity, the app even sends SMS alerts for offline students. by fostering academic engagement and providing essential college features, College Federation strives to be the go-to platform for learning, reducing reliance on mainstream social media for crucial updates.

Sistem Monitoring Capaian Pembelajaran di SMKN 1 Kota Bima Berbasis Web dan Android

In the process of teaching and learning, there is always a specific goal to be achieved, aiming to fulfill and produce a set of achievements targeted by a subject teacher. Each subject has different learning outcomes. Supervision of learning outcomes is necessary to ensure that both students and teachers can achieve the agreed-upon or school-established learning outcomes. Throughout this process, schools face difficulties in carrying out supervision to ensure that learning outcomes are met. This challenge underscores the need for an application that can assist in the supervision of learning outcomes, aiding schools in ensuring that both teachers and students can successfully achieve the set learning outcomes. The application development process utilizes the waterfall method, with data collection using documentation techniques. The programming languages used are Dart and PHP. The developed application includes the ability to monitor quiz scores, assignment grades, student attendance levels, as well as creating an interactive and engaging discussion forum. After implementation and testing, the application proves to be highly effective in fulfilling its function of supervising learning outcomes. In summary, during the teaching and learning process, the primary objective is to achieve the set learning outcomes. The challenges faced by schools in supervising these outcomes emphasize the necessity for an application that can facilitate this process, ensuring the successful attainment of learning goals by both teachers and students. The development process, using the waterfall method, along with Dart and PHP programming languages, results in an application with features such as quiz and assignment monitoring, attendance tracking, and an interactive discussion forum. The successful implementation and testing demonstrate the application's effectiveness in supervising learning outcomes, providing a practical and efficient solution for schools to monitor and enhance the quality of education.

Enhancing School Security System Using RFID: A Comprehensive Approach

Ensuring the safety of students and punctuality in educational institutions is of prime importance. This study introduces and evaluates a school security system that uses radio frequency identification (RFID) technology. The system uses RFID identification cards issued to students to track entry and exit from the school premises. By swiping the RFID card, the system fixes the time and location, which facilitates efficient tracking of student movements. Notifications are automatically sent to parents or guardians, improving communication and awareness. This will also alleviate the problems of students coming from home and skipping lectures to have fun during lectures hours. This paper discusses the methodology, implementation process and technology behind RFID, and provides an overview of the system's architecture and its integration into the school's existing infrastructure. This study also examines the impact of an RFID-based school security system on improving overall security measures based on privacy and ethical considerations. The results suggest a positive correlation between the adoption of this system and improved security protocols in educational institutions. Keywords: RFID, School Security, Attendance Tracking, Student ID, SMS Notification, Campus Safety.

EMPLOYEE TRACKER SYSTEM

The Employee Tracker System is a sophisticated software solution designed to streamline and optimize the management of employee data and activities within an organization. In today's dynamic business environment, efficient workforce management is paramount for the success and growth of any company. This system offers a comprehensive set of features and functionalities to meet the diverse needs of modern enterprises. It is a comprehensive solution designed to optimize workforce management processes, enhance productivity, and foster a culture of transparency and accountability within organizations. By leveraging advanced technologies and intuitive user interfaces, this system empowers HR departments and managers to efficiently manage their workforce and drive organizational success. Key Words: Employee Tracker System, Workforce Management, Attendance Tracking, Time Tracking, Leave Management, Absence Management, Workflow Automation, Employee Empowerment

Face Recognition Based Attendance System

The integration of face recognition technology into attendance management systems has emerged as a transformative solution for monitoring and optimizing attendance processes in educational institutions and organizations. This report presents an in-depth analysis of a project dedicated to the development and implementation of a Face Recognition Attendance System (FRAS) and examines its efficiency and security in various real-world scenarios. The report begins by discussing the significance of attendance tracking systems in educational and corporate environments, highlighting the shortcomings of traditional methods and the potential benefits of face recognition technology. It explores the underlying principles of face recognition, focusing on the algorithms and techniques used to capture and process facial data. The project methodology and implementation details are outlined, covering the hardware and software components used to create the FRAS. Special emphasis is placed on the challenges encountered during the system’s development and the strategies employed to overcome them. A comprehensive evaluation of the system’s performance and efficiency is presented, including accuracy, speed, and scalability, with comparisons to traditional attendance systems. Moreover, the report addresses security concerns associated with the FRAS, such as data protection, privacy, and vulnerability to spoofing. The report concludes with a discussion of the practical implications and future prospects of implementing face recognition technology in attendance systems. It highlights the system’s potential to streamline administrative tasks, reduce errors, and enhance security, while also emphasizing the need for ongoing research and development to address emerging challenges. Overall, this report provides a valuable insight into the evolving landscape of attendance management and the role that face recognition technology can play in revolutionizing these processes, balancing efficiency with security considerations. KeyWords: FRAS : Face recognition attendance systems SDLC: Software Development Life Cycle

Enhancing Student Experience through an Integrated Portal System

The integration of face recognition technology into attendance management systems has emerged as a transformative solution for monitoring and optimizing attendance processes in educational institutions and organizations. This report presents an in-depth analysis of a project dedicated to the development and implementation of a Face Recognition Attendance System (FRAS) and examines its efficiency and security in various real-world scenarios. The report begins by discussing the significance of attendance tracking systems in educational and corporate environments, highlighting the shortcomings of traditional methods and the potential benefits of face recognition technology. It explores the underlying principles of face recognition, focusing on the algorithms and techniques used to capture and process facial data. The project methodology and implementation details are outlined, covering the hardware and software components used to create the FRAS. Special emphasis is placed on the challenges encountered during the system’s development and the strategies employed to overcome them. A comprehensive evaluation of the system’s performance and efficiency is presented, including accuracy, speed, and scalability, with comparisons to traditional attendance systems. Moreover, the report addresses security concerns associated with the FRAS, such as data protection, privacy, and vulnerability to spoofing. The report concludes with a discussion of the practical implications and future prospects of implementing face recognition technology in attendance systems. It highlights the system’s potential to streamline administrative tasks, reduce errors, and enhance security, while also emphasizing the need for ongoing research and development to address emerging challenges. Overall, this report provides a valuable insight into the evolving landscape of attendance management and the role that face recognition technology can play in revolutionizing these processes, balancing efficiency with security considerations. KeyWords: FRAS : Face recognition attendance systems SDLC: Software Development Life Cycle

Exploring Advances in Meeting Minutes Generation and Face Attendance Systems: A Comprehensive Literature Survey

The existing literature survey offers a thorough exploration of automatic text summarization, speech-to-text conversion, and face recognition technologies, all of which are integral to the proposed model named as ConvoLogix. Historically, traditional methods for managing meetings and collaboration involved manual note-taking and attendance tracking. These processes were time-consuming, error-prone, and not conducive to optimization. In today’s fast-paced business environment, the absence of automated solutions hinders efficiency and collaboration. The survey underscores the significance of embracing advanced techniques in Machine Learning with Traditional and Deep Learning Models for Audio and video processing for process automation, emphasizing their pivotal role in streamlining meetings and attendance tracking. A key theme within the survey is the identification of limitations associated with conventional approaches to meeting minute generation and attendance recording. The ConvoLogix model’s core objective is to leverage these technologies to automate meeting minutes generation and attendance tracking, resulting in time savings, improved collaboration, and data-driven insights. Key Words: Automated Meeting Summarization, Face Attendance Tracking, Natural Language Processing, Machine Learning, Deep Learning, Neural Network Models

JCET Companion: Mobile Application for Campus Assistance

JCET (Jawaharlal College of Engineering and Technology) Companion, the innovative mobile app thoughtfully designed for JCET college community, introduces a comprehensive suite of indispensable features aimed at simplifying and enhancing campus life. At its core, the app provides a user-friendly event calendar intricately linked with a reminder system, ensuring students never miss vital dates or essential college events. The meticulously organized study material empowers efficient learning, while crucial announcements keep users informed. With seamless attendance tracking and notifications, students stay accountable and punctual. Homework management, to-do lists, fee handling through an integrated gateway, and efficient leave request management all find a home in this app, uncluttering the daily tasks that typically burden students. In essence, JCET Companion offers a centralized platform, fostering a sense of community and shared experience while ensuring everyone is consistently up to date, transforming college life into a well-organized and informed journey, marked by enhanced efficiency and connectivity for all its users.

Enhancing Student Experience through an Integrated Portal System

substantial shift towards digital content, prompting educational institutions to adapt to virtual learning environments. However, the increasing reliance on a multitude of applications for various activities, from attendance tracking to fee payment and examinations, has created a formidable challenge in aggregating data seamlessly. Students often grapple with login issues, exacerbated by the involvement of third-party applications, leading to time-consuming resolutions. Furthermore, the transition to online formats has posed challenges for extracurricular activities, particularly club promotions, leaving club leaders unsure of how to effectively engage participants in the absence of traditional class-by-class canvassing. Addressing these challenges, a proposed web portal emerges as a comprehensive solution, consolidating diverse institutional activities into a centralized hub. This portal not only streamlines academic functions such as attendance tracking and examination results but also acts as an information nexus for club activities, offering a centralized platform for students to discover and engage with various clubs. Additionally, the portal incorporates a digital grievance redressal system, providing students with a unified avenue to express concerns. In essence, this web portal aims to simplify and enhance the college experience, offering students a cohesive platform to navigate the complexities of their educational journey efficiently. KeyWords: Centralised, Web Application, Student Centric,Thirdparty Apps,Data Aggreagation, Career Guidance, Grievance Redressal, Virtual Learning

A Survey Paper on Automation of Attendance System through Facial Recognition

Abstract—In recent times almost, everything around us is being automated in some way just to make life easier for us. With the use of machine learning and deep learning we can allow non- living objects to program themselves to self-learn from the available data and perfect itself in the process. The process of recording attendance in educational institutions and workplaces has traditionally relied on manual methods, which are time- consuming, error-prone, and lack the level of security and accuracy desired in today’s digital age. This research presents a technological solution to these challenges. This technology offers a range of compelling advantages. It eliminates the need for manual attendance tracking, reducing the potential for errors and administrative workload. Moreover, it enhances security by ensuring that only authorized individuals can mark their attendance. Real-time data is available for monitoring and generating attendance reports, offering valuable insights into punctuality and attendance patterns. This research provides a comprehensive overview of the system’s architecture, algorithms, and the underlying technology, along with a discus- sion of the ethical and privacy considerations associated with face recognition. By implementing this innovative technology, educa- tional institutions and organizations can streamline attendance management, increase operational efficiency, and contribute to a more secure and productive environment. Keywords: Face recognition, LBPH, Haar-cascade, face detection, Viola n Jones, openCV, Adaboost

Geospatial Attendance Tracking: Leveraging Location Based Technology

The increasing popularity of expert system applications is undeniable. Computer technology evolution has significantly impacted various domains, including environmental security.Onenotable advancement is the elimination of manual attendance procedures, which were not only time-consuming but also prone to providing inaccurate results. The introduction of automated time and attendance monitoring systems has brought numerous benefits to organizations. These systems reduce reliance on pen-and-paper-based manual attendance tracking. In alignment with this shift, we have introduced an attendance system based on location, utilizing global positioning (GPS) technology. This system operates through a mobile application on smartphones, leveraging the GPS capability to determine the device's location. The location data serves as a key component in the time and attendance tracking process, eliminating the need for traditional manual methods. To achieve this, we employ the Geospatial technique, determining whether the student's location falls within the designated Geospatial locality. Our innovative project extends beyond attendance tracking and introduces a Child Tracking System within a dedicated application. This feature empowers parents to monitor their child's cell phone activities comprehensively. Parents can oversee incoming and outgoing calls, text messages, and multimedia messages. Additionally, they can track their children's whereabouts in real-time using GPS functionality and access a historical record of their locations. To enhance parental control, the system allows setting alerts for instances when children venture outside approved geographical ones

Facial Recognition System with Attendance Tracking Using Python and Open CV

In educational institutions, businesses, and offices, attendance tracking stands as a crucial daily task. Traditionally performed manually, be it through name calling or roll numbers, there is a need for a more efficient solution. This project aims to revolutionize attendance management by implementing a Face Recognition-based system. Installed in classrooms, the system captures student details like name, roll number, class, section, and photographs, utilizing OpenCV for image extraction. As students approach the device, it takes and compares pictures with a trained dataset. The process involves face identification with a Haar cascade classifier, recognition using LBPH and automatic attendance labeling. An Excel sheet is generated and updated hourly, incorporating information from the class instructor. This approach aligns with the demand for modernization and efficient time management in attendance procedures.

GateGuardian App

The GateGuardian application is a comprehensive mobile solution designed to streamline and enhance access management and security protocols for gated communities, residential complexes, office buildings, and other controlled-access environments. The application provides a range of features aimed at facilitating efficient visitor management, member directory access, staff attendance tracking, parking management, and emergency/society help desk services.The primary objective of the GateGuardian application is to provide residents, security personnel, and management with a centralized platform for managing access permissions, tracking visitor activity, and responding effectively to emergency situations. By leveraging mobile technology, the application offers convenient and real-time access to critical information and functionalities, thereby improving overall security and operational efficiency within the controlled-access environment. Key Words: Access management, data security, gated communities, user friendly.

Application of Artificial Intelligence in Practical Scenarios

Artificial Intelligence (AI) stands as a pivotal innovation deeply ingrained in both our daily routines and industrial operations. Its rapid evolution promises transformative impacts across various sectors, from cutting-edge industries to the lives of ordinary individuals. AI constantly updates human experiences, shaping interactions and augmenting capabilities. For instance, contemporary educational institutions leverage AI algorithms for attendance tracking via facial recognition technology. Looking ahead, the advent of autonomous vehicles represents a pinnacle of AI application, where vehicles rely entirely on AI systems for navigation, detecting traffic signals, and navigating roads

An Emotional Artificial Intelligence Based Attendance System for Class Room

Attendance through a camera using Artificial Intelligence (AI) and Deep Learning (DL) is a mod-ern approach to monitoring and tracking attendance in various settings such as schools, offices, and man-ufacturing facilities. It uses computer vision techniques and deep learning algorithms to automatically detect and identify individuals in an image or video captured by the camera. The process typically in-volves training the system on a dataset of labelled images of the individuals who will be taking attend-ance. This training data can include images of the individual's face, iris, or fingerprints, depending on the specific approach used. Once the system is trained, it can then use this knowledge to recognize these in-dividuals in new images captured by the camera. When an individual is recognized, the system can log their attendance in a database or other record-keeping system. This can be done in real-time, allowing for immediate tracking of attendance, or it can be done at a later time for batch processing. However, AI has been expanding its horizon and face recognition with deep learning techniques can be augmented with emotion recognition as well. Sometimes, students feel really sad and overwhelmed by their school work and other responsibilities. They might feel like they can't keep up or that they are not good enough. When these feelings last for a long time, it's called depression. Depression can make it hard for students to do their school work, be with friends and family, or even get out of bed in the morning. When students are feeling really sad and hopeless, they might think about hurting themselves or ending their lives. This is called suicide. It's important to know that suicide is preventable and there are people who can help. It's important to take care of our mental health, just like we take care of our physical health. If you ever feel sad or overwhelmed, it's important to talk to someone you trust and get help. One way to prevent suicide is to detect if someone is feeling sad and hopeless, which can be a sign of depression. One way to do this is by using a CCTV camera and AI and DL technology to analyze the person's facial expression, body language, and speech patterns. Emotional AI and DL can be a powerful tool in detecting depression but it's not a substitute for a professional diagnosis. It's always advisable to consult with a mental health pro-fessional if you suspect that you or someone you know may be struggling with depression.

Facial Recognition Attendance Monitoring System using Deep Learning Techniques

The Facial Recognition Attendance Monitoring System employing Deep Learning Techniques represents a cutting-edge application of artificial intelligence in educational and corporate environments. The implementation of a Facial Recognition System can aid in identifying or verifying a person's identity from a digital image. Accurate attendance records are vital to classroom evaluation. However, manual attendance tracking can result in errors, missed students, or duplicate entries. The adoption of the Face Recognition-based attendance system could help eliminate these shortcomings. This innovative approach involves utilizing a camera to capture input images, detecting faces using algorithms such as Haarcascade, Eigen values, support vector machines, or the Fisher face algorithm, verifying the faces against a database of student profiles, and marking attendance in an Excel sheet. The use of OpenCV, an open-source computer vision library, ensures the efficient

Attendance Data Collection Using NFC Tags

In the field of contemporary wireless technology, near-field communication (NFC) stands out as an important force, enabling contactless transactions and the seamless exchange of information between electronic devices. This research explores the innovative integration of NFC into the attendance input process, which is linked to a website-based attendance system. NFC's adaptability, which was initially prominent in payment cards, has expanded across industries, empowering smartphones, tablets, and wearable devices. This study contributes to the ongoing development of NFC technology, proposing a renewable solution for student attendance systems. With a vision of increased efficiency, this research anticipates increased utilization of time and resources, thereby providing a promising path for the advancement of attendance management. Attendance tracking is a critical aspect of educational and organizational management, with traditional methods often plagued by inefficiencies and inaccuracies. This research explores the implementation of Near Field Communication (NFC) tags as a modern solution for attendance data collection. The study aims to assess the effectiveness of NFC technology in improving accuracy, efficiency, and real-time access to attendance information. The research employed a mixed-methods approach, incorporating a pilot study in an educational setting. NFC tags were distributed to participants, allowing for contactless attendance registration. Data was collected through observations, user feedback, and system logs. Additionally, a comparative analysis was conducted between NFC-based attendance tracking and traditional methods. Findings indicate a substantial improvement in accuracy and efficiency with NFC tags compared to traditional methods. Real-time data access provided administrators with up-to-the-minute attendance information, enabling timely interventions and streamlined record-keeping. User feedback highlighted the ease of use and convenience of the NFC-based system.

Research Paper on Staff Attendance Portal

For every organization to succeed, including academic institutions, governmental bodies, and businesses, attendance management is essential. In order to improve their efficacy, organizations must monitor their internal staff, including staff. Monitoring staff attendance in the midst of the Covid-19 pandemic has proven to be difficult. Calculating the attendance percentage by hand is quite time-consuming and prone to error, which makes it a major issue. To keep track of staff activities and attendance on a daily basis, an efficient Android application for attendance monitoring has been created. This application stores a photograph, along with the time and location of attendance, in a database