Smart Presence System by Using Machine Learning

dc.contributor.authorRahman, Mahmudur
dc.contributor.authorSultana, Boby Nasrin
dc.contributor.authorAsif, Md. Mahmudul Hasan
dc.date.accessioned2022-09-04T05:17:35Z
dc.date.available2022-09-04T05:17:35Z
dc.date.issued2022-01-04
dc.description.abstractIf the task of ensuring the presence of an employee is completed by hand, it may be a significant load on the organization. An efficient and automatic presence system is being used to address this problem. However, with this system, verification is a critical topic to consider. In most cases, the Smart Presence System is implemented with the assistance of real-time facial detection and identification technology. The Haar Cascade Classifier method has been employed in the creation of this feature. Following face recognition, the system will create a spreadsheet for each day of the week in question. This real-time face detection and identification system are only available to firm personnel who have registered with the business. A QR code mechanism has been implemented for the benefit of those who have not registered. Some information about the user will be utilized in this system, but not all of it. This system will properly handle the presence of both registered and unregistered individuals.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8590
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8590
dc.language.isoen_US
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectPresence
dc.subjectEmployees
dc.subjectMachine learning
dc.titleSmart Presence System by Using Machine Learning
dc.typeArticle

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