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Face recognition attendance

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dc.contributor.author Muhammad Roaim Mughal, 01-134152-050
dc.contributor.author Muhammad Zain, 01-134152-057
dc.date.accessioned 2020-08-15T11:07:40Z
dc.date.available 2020-08-15T11:07:40Z
dc.date.issued 2019
dc.identifier.uri http://hdl.handle.net/123456789/9560
dc.description Supervised by Mr. Muhammad Umar Khattak en_US
dc.description.abstract This document will allow how we can implement algorithm for face detection and apperception in image processing to build a system that will detect and recognize frontal faces of faculty member when they enter into the classroom and took his/her face in-front of webcam." Front part of a person's face is head from the forehead to the chin. In human interaction, Paramount information about person individual is get form the face that is the most consequential factor. All human have the faculty to agnize separately from their surface of the faces. To develop a working prototype of a system/application that took attendance by detecting the face of a faculty by capturing the image and then compare it from the existing data, so to do this activity we proposed a system that facilitate the .. Then system will able to mark the attendance of that specific faculty member when they leaving from the class by concluding their presence time in the class and also inform HOD by sending notification if a faculty member come late in the class en_US
dc.language.iso en en_US
dc.relation.ispartofseries BS (CS);P-8490
dc.subject Computer Science en_US
dc.title Face recognition attendance en_US
dc.type Project Reports en_US


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