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@article{174758,
        author = {Mohammad Ishrat and Mohammad Kashif and Harsh Mathur},
        title = {Smart Attandance System Using face Recognition},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {570-575},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174758},
        abstract = {A smart attendance system using face recognition offers a seamless, automated, and efficient solution for tracking attendance in educational institutions, workplaces, and events. This system leverages advanced image processing techniques and machine learning algorithms to identify individuals through facial features, eliminating the need for manual or traditional attendance methods. The process involves capturing real-time images, detecting faces, and comparing them with pre-stored data to verify identity.
The use of face recognition ensures higher accuracy, reduces the risk of proxy attendance, and saves significant time. Additionally, the system can integrate with cloud storage and databases for real-time updates and reporting. Privacy concerns are addressed by using secure data encryption and restricting access to authorized personnel.
Despite its benefits, challenges such as varying lighting conditions, occlusions, and diverse demographics can impact performance. However, advancements in artificial intelligence and neural networks continue to improve system reliability. Overall, this technology represents a step forward in leveraging Al for practical, real-world applications.},
        keywords = {},
        month = {March},
        }