International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 04 | Apr 2024
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p-ISSN: 2395-0072
SMART CAMPUS: SMART ATTENDANCE MANAGEMENT SYSTEM USING FACE RECOGNITION Anushka Kalra1, Reva Teotia2, Sanskriti Mamgain3, Abhishek Singh4 1Student, Dept. of Computer Science and Engineering, Inderprastha Engineering College, Uttar Pradesh, India
2Student, Dept. of Computer Science and Engineering, Inderprastha Engineering College, Uttar Pradesh, India 3Student, Dept. of Computer Science and Engineering, Inderprastha Engineering College, Uttar Pradesh, India
4Student, Dept. of Computer Science and Engineering(AIML), Inderprastha Engineering College, Uttar Pradesh,
India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - : This research introduces a revolutionary
cutting-edge AI-powered picture and video analysis tool, has the potential to revolutionize attendance management.
way of attendance management based on facial recognition technology. The solution uses Amazon Rekognition, a highly accurate and scalable service, to automate attendance recording in real-time. Faces are spotted and recognized from live images, removing the need for manual attendance recording. This abstract outlines the project's core characteristics, including precise facial recognition, real-time attendance tracking, scalability, security, and increased efficiency. The project highlights the efficiency of facial recognition technology in attendance management, providing a strong and dependable solution for a variety of institutions and organizations.
Attendance systems have evolved dramatically, moving from manual to automated solutions. With breakthroughs in Artificial Intelligence and facial recognition technologies, attendance monitoring has reached new levels of efficiency and precision. AI-powered technologies, such as Amazon Rekognition, have emerged as game changers, providing unprecedented capabilities in facial recognition and biometric identification. By harnessing the power of AI and facial recognition technology, the Smart Attendance System aims to automate the attendance tracking process, eliminating the need for manual intervention and reducing administrative burden. This project represents a significant leap forward in attendance management, promising real-time, accurate, and efficient tracking across diverse organizational settings.
Key Words: Attendance, Amazon Rekognition, Amazon Web Services, facial recognition, face
1.INTRODUCTION Attendance management continues to be a critical component of corporate and educational environments, assuring responsibility and efficiency. Traditional solutions, such as manual recording or swipe cards, have proven costly and susceptible to errors. In response to these issues, present-day technology presents a viable solution: facial recognition.
In summary, this project represents a pioneering effort in the field of attendance management, leveraging the latest advancements in AI and facial recognition technology. Through the integration of Amazon Rekognition, the system endeavours to revolutionize traditional attendance tracking methodologies, offering a more efficient, accurate, and reliable solution for various organizational settings.
The evolution of attendance systems has seen a shift towards automation, with AI (Artificial Intelligence) and facial recognition technology leading the charge. Facial recognition, enabled by modern algorithms and machine learning, has transformed how we track attendance. By analyzing unique facial features, such systems can accurately identify individuals in real time, eliminating the need for manual input and reducing the risk of errors and fraudulent practices such as proxy attendance.
2.PROJECT REQUIREMENTS The automatic attendance marking system makes tracking attendance easier by utilizing facial recognition technology. It makes use of several AWS (Amazon Web Service) services, such as DynamoDB for database management, Simple Storage Service (S3) for storage, and Amazon Rekognition for facial analysis. Flutter and React are used in front-end development to provide an intuitive user interface for system interaction.
The project "Smart Attendance System Using Face Recognition" proposes a ground-breaking approach for streamlining attendance monitoring operations by incorporating facial recognition technology. This system, which has been developed using Amazon Rekognition, a
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