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Facial recognition attendance system

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dc.contributor.author Bilal Shabbir, 01-134152-014
dc.contributor.author Danial Jamshed, 01-134152-015
dc.date.accessioned 2020-08-15T10:35:44Z
dc.date.available 2020-08-15T10:35:44Z
dc.date.issued 2019
dc.identifier.uri http://hdl.handle.net/123456789/9556
dc.description Supervised by Ms.Romana Talat en_US
dc.description.abstract The project is about marking the attendance of the students through the facial recognition and detection through camera. In this project, system use the face image of a person to mark his/her attendance. Attendance is the main thing for the university to have record of attendance of the student. Prior methods for taking attendance is by calling names or roll calls of the student and the attendance is recorded, But this method is time consuming. For example, the duration for a particular subject is around one hour and to record attendance the old method of attendance marking takes around 5 to 10 minutes. For every lecturer, it is time consuming task. In order to overcome this problems, we introduced an automatic facial recognition attendance system. In this project, system take an image of whole class then the faces are extracted from it which are then matched with the faces in face database. If the faces are matched then that student’s attendance is marked otherwise absent en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries BS (CS);P-8488
dc.subject Computer Science en_US
dc.title Facial recognition attendance system en_US
dc.type Project Reports en_US


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