Online Attendance System Using CCTV

Abstract

The online attendance system is a project that aims to create a more efficient and secure method for recording attendance at educational institutions, offices, and other organizations. The main objective of the project is to develop a system that can accurately identify individuals based on their facial features, and record their attendance automatically. One of the main problems that the face recognition attendance system aims to solve is the issue of manual attendance recording, which is often time-consuming and prone to errors. By automating the attendance process, we eliminate the need for annual attendance registers and reduce the burden on staff. The online attendance system uses advanced algorithms to analyze and compare facial features, and can accurately identify individuals even if they are wearing masks or have changed their appearance. The system can also be integrated with other software, such as payroll systems, to provide a more streamlined and efficient process for managing attendance and payroll. Overall, the face recognition attendance system is a valuable tool for improving attendance management and security at educational institutions, offices, and other organizations. It offers a more accurate and efficient method for recording attendance, and can significantly reduce the workload and costs associated with manual attendance recording.