Survey On Digital Attendance System Using Face Recognition

The Digital Attendance System using Face Recognition presents an efficient and modern solution to the limitations of traditional attendance management methods. Conventional approaches such as manual registers, RFID-based systems, and biometric fingerprint devices are often time-consuming, prone to errors, and vulnerable to proxy attendance. These drawbacks reduce the reliability and effectiveness of attendance records in educational institutions and organizations. The proposed system addresses these issues by automating the entire attendance process using face recognition technology. By leveraging artificial intelligence, machine learning, and computer vision techniques, the system is capable of accurately identifying individuals based on unique facial features and marking attendance in real time. This contactless approach not only improves accuracy and efficiency but also ensures a hygienic and user-friendly experience. Additionally, the integration of a centralized database enables efficient storage, management, and retrieval of attendance records, making the system scalable and reliable. The elimination of manual intervention reduces administrative workload and minimizes human errors, while also enhancing security by preventing unauthorized or proxy attendance. Although certain challenges such as variations in lighting conditions, facial expressions, and hardware limitations may affect system performance, these issues can be effectively addressed through the use of advanced algorithms and improved technologies. Overall, the Digital Attendance System using Face Recognition represents a significant advancement in attendance management, offering a secure, accurate, and automated solution. With further enhancements and integration of emerging technologies, the system has strong potential to be widely adopted in real world applications.

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