Open AccessFace Recognition Attendance System using Raspberry Pi
Author(s) -
Tresnor Menezes
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.37499
Subject(s) - facial recognition system , computer science , biometrics , attendance , upload , authentication (law) , face detection , raspberry pi , artificial intelligence , proxy (statistics) , face (sociological concept) , identification (biology) , automation , computer security , multimedia , machine learning , pattern recognition (psychology) , world wide web , engineering , mechanical engineering , social science , botany , sociology , economics , biology , economic growth , internet of things
Face recognition is used for security, authentication, identification, and has got many advantages over conventional methods. It is being used in many sectors since it is contactless and non-invasive. Billions of images have been uploaded on social media networks and are crawled by search engines over many years. These images may include many different faces. The increase in computing capability and collected data has helped in creating more powerful neural network models. [1] This project thesis aims to create an attendance system which uses face recognition biometric authentication as the currently used manual attendance system is cumbersome to maintain and time consuming. Face recognition prohibits the chance of students marking attendance for their peers (proxy attendance). Keywords: Face Recognition, Face embeddings, Face Detection, Image Processing, Raspberry Pi automation.