dc.contributor.author | Yasmin, Barira | |
dc.contributor.author | Ahmed, Tanvir | |
dc.contributor.author | Rabbi, Fazle | |
dc.date.accessioned | 2020-11-21T11:01:29Z | |
dc.date.available | 2020-11-21T11:01:29Z | |
dc.date.issued | 2020-06-07 | |
dc.identifier.uri | http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5134 | |
dc.description.abstract | “AUTOMATED ATTENDANCE SYSTEM BASED ON FACIAL RECOGNITION”, is a Machine Learning project. This project basically without human assistance system that helps take attendance by recognizing trained students' real-time frontal face image. It’s very easy to use and its GUI is very simple and user-friendly anyone can simply use it. We used to build this project with the main library that is OpenCV and Tkinter. This system recognition works very well. This can be used is any educational institution and corporate offices. This system is not time consuming, it’s a relive for who takes the attendance. We tried our level best to make this easy to use and effective. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Daffodil International University | en_US |
dc.subject | Human Face Recognition | en_US |
dc.subject | Automation | en_US |
dc.subject | Machine Learning | en_US |
dc.title | Automated Attendance System Based on Facial Recognition | en_US |
dc.type | Other | en_US |