This project presents an AI-based attendance management system developed to modernize and simplify conventional attendance practices through automated, contactless facial recognition. The system uses a Raspberry Pi 4 integrated with a webcam to identify individuals by applying computer vision and machine learning techniques, ensuring reliable and efficient attendance capture.A robust backend developed using Node.js, Express, and Socket.IO enables real-time data synchronization, secure record management, and instant notifications for users and administrators. When an absence is identified, the system requests the individual to submit a reason via a user-friendly web interface, ensuring accountability and transparent documentation. Real-time alerts are generated to inform administrators of irregular or unexpected absences, enabling prompt and effective action.The system also provides detailed analytics and reporting features to analyze attendance patterns and trends. By minimizing manual intervention and reducing human errors, this solution delivers a scalable, intelligent, and data-driven alternative to traditional attendance systems, making it well suited for educational.
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Mr. Srinivasan T is an Assistant Professor in the Department of Mechanical Engineering at Agni College of Technology. He has 11 years of teaching experience in the field of Mechanical Engineering. He holds a Bachelor of Engineering in Mechanical Engineering from Annamalai University and a Master of Engineering in Thermal Engineering.
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Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Artikel-Nr. L2-9786209641237
Anzahl: Mehr als 20 verfügbar