Managing employee attendance using real-time face recognition Online publication date: Mon, 23-Oct-2023
by Rajnesh Singh; Pushpa Singh; Richa Kumari Sharma; Priyanka Gupta; Narendra Singh; Sunil Gupta
International Journal of System of Systems Engineering (IJSSE), Vol. 13, No. 4, 2023
Abstract: The process of the attendance monitoring system is changing due to different trends and technologies. If we review the past data on attendance tracking systems in industries, organisations and many companies use unique identification methodologies, such as RFID, fingerprint identification, eye recognition and facial recognition systems. Among all these strategies, face recognition is the most common and least time-consuming method. The system gives more flexibility and ease to employees and organisations in marking and managing their attendance. It employs the Haar Cascade Classifier for detecting the face and the local binary patterns histograms (LBPH) algorithm to train the classifier. After the successful entry of an employee's record in the system's dataset, his face will be detected by its name, and his attendance will be marked. After a particular time (depending on the organisation), for example, half an hour, the employee receives a confirmation email for the same. The proposed work provides efficient data management at the end of the Admin.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of System of Systems Engineering (IJSSE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com