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Smart Face Recognition Attendance System Using Deep Learning
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Author(s): Sangeetha Ganesan (R.M.K. College of Engineering and Technology, India), P. Rushil (R.M.K. College of Engineering and Technology, India), Sharavana Kumar R. N. (R.M.K. College of Engineering and Technology, India), P. Shashank (R.M.K. College of Engineering and Technology, India)and V. Sarabesh Kanishkar (R.M.K. College of Engineering and Technology, India)
Copyright: 2026
Pages: 20
Source title:
Child Protection Laws and Crime in the Digital Era
Source Author(s)/Editor(s): Romil Rawat (LabGeoInf-Research LABoratory in GEOmatics and INFormation systems, National Research Council in Italy, Rome, Italy), Sanjaya Kumar Sarangi (Utkal University, India), A. Samson Arun Raj (Karunya Institute of Technology and Sciences, India), Janet Olivia Richmond (Karunya Institute of Technology and Sciences, India)and Purvee Bhardwaj (Rabindranath Tagore University, India)
DOI: 10.4018/979-8-3373-5132-2.ch018
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Abstract
The Face Recognition-Based Attendance System is an AI-driven solution designed to enhance attendance management using deep learning. In educational institutions and corporate environments, accurate tracking is crucial for monitoring performance and ensuring accountability. This system utilizes Convolutional Neural Networks (CNNs) for real-time facial recognition, ensuring seamless, contactless authentication and eliminating proxy attendance. Facial images are captured via a webcam or IP camera and matched against a pre-registered database. For added security, a secondary authentication layer using voice recognition is implemented, along with GPS-based location validation to prevent fraudulent remote check-ins. By automating attendance tracking, the system significantly reduces administrative workload, enhances security, and improves accuracy. It eliminates physical interactions, making it a hygienic and efficient solution, particularly in the post-pandemic era. Its real-time processing and scalability make it a reliable solution for modern attendance management in various sectors.
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