Authors: Professor Dr S. Swarnalatha, Mr. K.Subramanyam, Mudireddy Hari Sahasree, Canchi Ramaswamy Shashank, Gutthi Indra, Talari Ashok Kumar Thejesh
Abstract: This project, titled " SMART ATTENDANCE SYSTEM: Facial Recognition and Gesture Control using Python," presents an innovative and contactless approach to employee login and attendance management by integrating facial recognition as the primary method of authentication. The system is developed using Python and leverages powerful libraries and frameworks including Flask for web development, OpenCV for real-time video processing, and the Face recognition library for accurate facial identification. The core functionality of the system allows users to register their personal details along with facial data through an intuitive web interface. During each login attempt, the system captures live video feed from a connected camera and compares it against the stored facial dataset to authenticate users. Upon successful verification, the system records attendance along with precise timestamps, ensuring reliable, tamper-proof attendance tracking and minimizing the risk of proxy attendance or manual errors. To push the boundaries of traditional attendance systems, a secondary feature—a hand gesture- controlled cursor—has been added as a novel enhancement. This feature, implemented using MediaPipe, pyautogui, and pynput, allows users to interact with the system using simple hand movements, eliminating the need for physical contact with input devices. While this gesture control is not the central component of the project, it represents a forward-thinking step toward building fully touchless systems, especially relevant in the context of health-conscious and hygiene-sensitive environments. Overall, the Smart Attendance System aims to offer a secure, efficient, and user-friendly alternative to traditional attendance mechanisms, combining the reliability of facial recognition with the emerging potential of gesture-based interaction.
DOI: http://doi.org/
International Journal of Science, Engineering and Technology