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@article{169460,
        author = {Tejas Jadhao and Rahul Dagade and Harsh Rathod and Keshetty Ajaynath and SHASHANK ATHAWALE},
        title = {FACIAL RECOGNITION DRIVEN ATTENDANCE SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2140-2146},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169460},
        abstract = {The Facial Recognition Driven Attendance System is an innovative approach to automating attendance tracking using facial recognition technology. This system leverages advanced image processing techniques and machine learning algorithms to identify and verify individuals, streamlining the attendance management process in educational institutions, workplaces, and other organizations. By integrating facial recognition, the system eliminates the need for traditional methods like manual entry or biometric- based systems, reducing time consumption, human error, and fraudulent attendance marking.

The project involves developing a robust facial recognition module that accurately detects and matches faces from a pre-stored database. It uses a camera to capture live images of individuals as they enter a designated area, compares them against the database, and records attendance in real- time. The system enhances convenience and security by supporting multi-user access and integrating with existing organizational systems for seamless data synchronization. Privacy and ethical concerns, such as data security and consent management, are addressed by implementing encrypted data storage and adherence to relevant privacy laws.
This solution not only improves efficiency in attendance tracking but also offers scalability for large organizations and flexibility in various environments, ensuring accuracy, security, and ease of use.},
        keywords = {Facial Recognition, Automated Attendance System, Real- time Attendance Tracking, Image Processing, Machine Learning for Attendance, Face Segmentation.},
        month = {November},
        }