Analysis and synthesis of multi human faces recognition from live camera by using machine learning models

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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


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