dc.contributor.author | Anower, Md. Shakil | |
dc.date.accessioned | 2023-02-18T03:49:52Z | |
dc.date.available | 2023-02-18T03:49:52Z | |
dc.date.issued | 22-12-18 | |
dc.identifier.uri | http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/9671 | |
dc.description.abstract | There are numerous attempts to automate this process in classrooms using a variety of technologies, but few attempts are there to use biometrics in class attendance. This project focuses on the use of face recognition to acquire data related to class attendance, which is a concept that applies to various daily life activities and functions. The findings demonstrate that the suggested solution can enhance the timing and validity of the attendance process. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Daffodil International University | en_US |
dc.subject | Biometrics | en_US |
dc.subject | Biometric identification | en_US |
dc.title | Students Attendance System using Computer Vision | en_US |
dc.type | Other | en_US |