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Smart Presence System by Using Machine Learning

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dc.contributor.author Rahman, Mahmudur
dc.contributor.author Sultana, Boby Nasrin
dc.contributor.author Asif, Md. Mahmudul Hasan
dc.date.accessioned 2022-09-04T05:17:35Z
dc.date.available 2022-09-04T05:17:35Z
dc.date.issued 2022-01-04
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8590
dc.description.abstract If 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. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Presence en_US
dc.subject Employees en_US
dc.subject Machine learning en_US
dc.title Smart Presence System by Using Machine Learning en_US
dc.type Article en_US


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