DSpace Repository

Smart attendance system using facial recognition technology (FRT)

Show simple item record

dc.contributor.author Asfand-Yar-Hanif, 01-134162-101
dc.contributor.author Sarmad Khalid, 01-134162-092
dc.date.accessioned 2020-12-27T01:47:49Z
dc.date.available 2020-12-27T01:47:49Z
dc.date.issued 2020
dc.identifier.uri http://hdl.handle.net/123456789/10645
dc.description Supervised by Mr. Umar Khattak en_US
dc.description.abstract The main goal of the project is to automate the present attendance and invigilation system to gain efficiency and avoid any deception. Present system of attendance is very time consuming and there is chance of deception in it. Similarly, in examination hall, due to human limitation, invigilator is not able to detect any suspicious movement or unauthorized person sitting in class so this system will overcome these types of problems by using modern technology of face/object detection through deep learning. For attendance teacher have to initiate the attendance module and system will notify the faculty by telling that the attendance is marked successfully or else. Similarly, invigilator will start the invigilation module and system will detect the suspicious movement or unauthorized person and notify to invigilator. That’s how this system saves time and stop unethical steps taken by the students. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries BS (CS);P-8928
dc.subject Computer Science. en_US
dc.title Smart attendance system using facial recognition technology (FRT) en_US
dc.type Project Reports en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account