MRI
MRI India Journals Vol. 13 No. 2 (2024)

AI-Driven Intelligent Attendance System with Advanced Face Recognition and Cloud Integration

Authors

  • A. S. Shirkande Assistant Professor, E & TC Engineering Department, S. B. Patil College of Engineering Indapur (MH), India
  • S.N. Salunkhe UG Student, E & TC Engineering Department, S. B. Patil College of Engineering, Indapur (MH), India
  • R.K. Maral UG Student, E & TC Engineering Department, S. B. Patil College of Engineering, Indapur (MH), India
  • K.R. Dokhe UG Student, E & TC Engineering Department, S. B. Patil College of Engineering, Indapur (MH), India

DOI:

https://doi.org/10.65521/ijacect.v13i2.19

Keywords:

AI Security Cloud IOT

Abstract

This paper presents the design and implementation of the intelligent presence system using AI- powered facial recognition and cloud integration. The system leverages advanced images processing techniques to accurately recognize and identify a person’s face through a real time camera feed. Increases security and user interaction in addition to facial recognition the proposed system also has voice recognition capabilities. Enabling AI robots to understand and respond to command such as welcoming guests is based on, which is mask and equipped with an OLED display for better visual feedback. Our approach uses multiple algorithms optimized to accommodate the variability in human facial feature. This ensures robust performance across different shapes and sizes. This comprehensive review discusses the method used in face recognition. Integrating cloud technology for data management and possible application in security and services sectors. It emphasizes the importance of intelligent system in modern state management.

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Published

2025-03-19

How to Cite

Shirkande, A. S., Salunkhe, S., Maral, R., & Dokhe, K. (2025). AI-Driven Intelligent Attendance System with Advanced Face Recognition and Cloud Integration. International Journal on Advanced Computer Engineering and Communication Technology, 13(2), 5–9. https://doi.org/10.65521/ijacect.v13i2.19

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