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@article{166040,
        author = {Nisha Banerjee},
        title = {Automated Attendance Generation In Real Time Using Computer Vision},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {1},
        pages = {2403-2417},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=166040},
        abstract = {The proposed system is an automatic real time attendance system that uses facial recognition to conquer the troubles related to traditional attendance techniques .The proposed design of the device works via capturing photos of students using a camera after which the use of a computer vision module to recognize them. Facial recognition is then used to examine the faces to a student database. The system can provide actual-time attendance reports and might combine with a learning module system (LMS). Machine learning may be used to improve the device's accuracy through the years. This system gives numerous blessings over conventional techniques, including performance, reliability, and distinct reporting. However, privacy issues exist, inclusive of potential government monitoring of scholar facts. The paper  discuss the importance of safety and moral considerations. Overall, this paper proposes a real-time automated attendance management system using facial recognition through webcam using computer vision and generates a csv attendance report . The system gives extra effectiveness, reliability, and records series in comparison to guide strategies. With right consideration of privacy and ethics, this era has the potential to seriously enhance attendance control in faculties and other establishments.},
        keywords = {Automated Attendance, Computer Vision, Face Recognition, Real time Face Detection},
        month = {June},
        }