Smart Face Attendance System using Facial Recognition

Smart Face Attendance System using Facial Recognition

Aditya Sharma, Saksham Gupta, Dr. Vasudha Bahl, Dr. Amita Goel, Nidhi Sengar

adityasharma6816@gmail.com, sakshamgupta9656@gmail.com Vasudhabahl@mait.ac.in, amitagoel@mait.ac.in, nidhisengar@mait.ac.in Maharaja Agrasen Institute of Technology

Abstract—The SmartFace Attendance system using facial recognition represents a modern solution to automate attendance tracking processes in educational institutions and organizations. Leveraging advanced facial recognition technology, it offers accurate and efficient attendance management while addressing privacy concerns and ensuring user acceptance. The system utilizes state-of-the-art algorithms such as Convolutional Neural Networks (CNN), Histogram of Oriented Gradients (HOG), and Support Vector Machines (SVM) to detect and recognize faces in real-time captured images. By providing touchless operation and seamless integration with existing infrastructure, SmartFace Attendance system offers convenience and scalability for users across diverse environments. With robust security measures, adherence to ethical considerations, and compliance with legal regulations, it is poised to revolutionize attendance tracking practices, enhancing operational efficiency and improving user experiences in educational and organizational settings.

Keywords—Online Attendance System, Energy Efficiency, Facial Recognition, Support Vector Machine(SVM), Decision Tree, Histogram of Oriented Gradients(HOG), Convolutional Neural Network(CNN), Database Management, Model Train- ing.