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@article{197821,
        author = {vaibhavi sargar and Pallavi Awale and Bhakti Shevate and Ms.N.S.Bale},
        title = {smart face recongnition attendance system},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {7712-7714},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197821},
        abstract = {The Smart Attendance System using Face Recognition is an automated solution designed to record and manage attendance efficiently and accurately. This system utilizes biometric technology to capture and verify attendance using facial features. Unlike traditional methods such as manual registers or ID cards, the proposed system ensures faster processing, eliminates proxy attendance, and reduces human errors. The system captures real-time facial data, compares it with stored templates, and records attendance automatically. The data is stored in a centralized database and can be accessed for monitoring and report generation. This system enhances security, transparency, and efficiency while reducing paperwork and saving time.},
        keywords = {Automated Attendance, Biometric System, Face Recognition, Real-Time Monitoring, Database Management, Security},
        month = {April},
        }