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@article{168167,
        author = {Mr. Anishkumar Singh and Mr. Rajwardhan S. Todkar and Dr. Jaydeep B. Patil and Dr. Sangram T. Patil},
        title = {Python-Based Facial Recognition Attendance System with OpenCV},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {22-25},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168167},
        abstract = {This project's main objective is to create a facial recognition-based attendance tracking system for educational institutions. By doing so, it hopes to update and modernize the current system and increase its effectiveness and efficiency throughout the years. The prior, outdated method's many ambiguities resulted in inaccurate and inefficient attendance recording. Numerous problems arise when the authorities are unable to uphold the rules that were established under the prior system. The technology that underpins this will be the facial recognition system. A person's face is one of their natural features that can be utilized to uniquely identify them. Faces are used to trace identification since they are unlikely to deviate or be copied. The aim of this project is to build face databases that will supply the recognizer algorithm with data. Faces will then be matched to the database during the attendance-taking session to determine identification. When someone is identified, their attendance is noted right away, and the pertinent information is stored in an Excel file. At the end of the day, an excel document containing each student's attendance information is sent to the appropriate professors.},
        keywords = {Smart Attendance System, RFID, NFC, OpenCV, Numpy etc},
        month = {September},
        }