Overview This project aims to build an advanced attendance system that utilizes facial recognition technology to mark the presence, time-in, and time-out of employees. The system offers features such as facial detection, alignment, and recognition, along with the development of a web application that caters to various use cases such as employee registration, addition of photos to the training dataset, and viewing attendance reports. The goal is to provide an efficient substitute for traditional manual attendance systems and enhance security in corporate offices, schools, and organizations.
Facial detection, alignment, and recognition for accurate attendance marking Web application with user-friendly UI for easy navigation and management Employee registration and photo addition to the training dataset Generation of attendance reports with filters for date and employee
Facial recognition technology is gaining prominence in various domains, particularly in the field of security. This project serves as a foundation for future advancements in facial detection and recognition, with potential applications in areas like ATMs, access control systems, and more. The project also covers web development and database management, providing a comprehensive solution for attendance management. Organizations of all types can benefit from this system by replacing traditional attendance methods and generating detailed attendance reports.
The system caters to two types of users:
Admin: Performs administrative tasks such as login, employee registration, photo addition, model training, and viewing attendance reports. Employee: Marks their time-in and time-out by scanning their face, and can view their attendance report.
The documentation folder contains detailed information about the project, including UML diagrams and other relevant documents.
