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dc.contributor.author | Hasnain Raza, 01-235161-013 | |
dc.contributor.author | Ali Shahzad Satti, 01-235161-001 | |
dc.date.accessioned | 2021-01-17T01:02:46Z | |
dc.date.available | 2021-01-17T01:02:46Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | http://hdl.handle.net/123456789/10807 | |
dc.description | Supervised by Mr. Talha Naqash | en_US |
dc.description.abstract | This software is for changing the traditional system of security at the entrance of the university and to automate it. We are providing a system which will detect and recognize student faces and let them enter the university. In this system we have three main functionalities that are adding student information, train the data set, face recognition and detection. In adding records we are allowing the user to add students information i.e. Name , Department ,Id , Intakeyear. Right now more than 2 guards are appointed at the main gate of the universities to check individual ID cards and let them enter university which is time taking and there are chances of human error. We are trying to minimise the human force, cost and human error with the help of our system i | en_US |
dc.language.iso | en | en_US |
dc.publisher | Computer Sciences BUIC | en_US |
dc.relation.ispartofseries | BS (IT);MFN-P 9067 | |
dc.subject | Using Machine Learning Models | en_US |
dc.title | Analysis and synthesis of multi human faces recognition from live camera by using machine learning models | en_US |
dc.type | Project Reports | en_US |