Smart Attendance Registration and Management System through AI
G Rajesh, N Sairam, M Praveen · 2023
Automatic Facial Recognition (AFR) stands as a widely employed technology in today’s rapidly advancing world. Within the context of a smart attendance system, real-time facial recognition is employed to track student attendance by capturing and processing their facial features in real-time, comparing them to a stored database. This facial recognition process swiftly identifies and verifies students, providing precise results when analyzing video inputs. There are several existing frameworks for facial recognition, and to enhance both the speed and accuracy of recognition, a new framework is proposed. This novel approach leverages deep learning techniques for video processing, modifying the existing Convolutional Neural Network (CNN) architecture to incorporate specialized features into a versatile neural network design. The proposed model considers artificial intelligence enabled Split Invariant Artificial Neural Network (SIANN) to make efficient attendance registration and management system. The proposed model performance is measured through accuracy, loss function etc.