Smart Attendance Management System Using Convolutional Neural Network
DOI:
https://doi.org/10.54228/mjaret06230010Keywords:
Smart Campus, Machine Learning, Digitalization of attendance, Face Recognition, Convolutional Neural Network (CNN).Abstract
: Businesses and educational institutions rely heavily on attendance records to ensure everything runs smoothly. Logging in and out allows for an accurate record of attendance, but the manual nature of the system raises the possibility of forgeries and proxies. These days, machine learning has been extensively researched for use in computer vision. In order to create reliable and accurate automated attendance systems, we use the idea of machine learning in Face - recognition. For the purpose of taking attendance, this research equips computers with face recognition and face detection algorithms that can quickly and accurately locate and identify human faces in digital photos or video. For this purpose, we employ a camera that sends its data through a Raspberry Pi module. The information is processed by a CNN algorithm, after which an Excel file (.csv) is created, uploaded to the cloud, and sent off to the appropriate authorities.
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