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dc.contributor.authorBansal, Prakhar
dc.date.accessioned2024-09-20T06:54:32Z
dc.date.available2024-09-20T06:54:32Z
dc.date.issued2024-02
dc.identifier.urihttp://10.10.11.6/handle/1/18240
dc.descriptionSCHOOL OF COMPUTING SCIENCE AND ENGINEERING DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING GALGOTIAS UNIVERSITY, GREATER NOIDAen_US
dc.description.abstractThe Face Recognition Attendance Management System utilizes CCTV cameras to automate attendance tracking. It employs advanced facial recognition technology to identify and record individuals as they enter a premises. This system eliminates the need for manual attendance records and provides real-time data. Users simply need to show their faces to the CCTV camera, which then matches their identity with the database. The system ensures accuracy and minimizes errors, improving overall efficiency. It offers a convenient and contactless solution, making attendance management swift and hassle-free. This system is highly beneficial for schools, businesses, and institutions looking for a modern, secure, and efficient way to monitor attendance. By revolutionizing attendance tracking, this technology streamlines record-keeping, enhances security, and advances administrative processes. It also solves issues like fake attendance that are done by the students. The model is relatively fast as compared to the manual attendance taken by the teachers.en_US
dc.language.isoen_USen_US
dc.publisherGalgotias Universityen_US
dc.subjectFAMS Facial Recognitionen_US
dc.subjectManagement Systemen_US
dc.titleFAMS Facial Recognition Attendance Management Systemen_US
dc.typeTechnical Reporten_US


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