REAL- TIME ATTENDANCE SYSTEM USING FACE RECOGNITION TECHNIQUE
Author(s) -
Debadrita Ghosh
Publication year - 2021
Publication title -
international journal of engineering applied sciences and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2021.v05i09.043
Subject(s) - python (programming language) , facial recognition system , computer science , attendance , guardian , face detection , artificial intelligence , feature extraction , the internet , feature (linguistics) , multimedia , data science , machine learning , world wide web , operating system , political science , law , economics , economic growth , linguistics , philosophy
With increasing technologies and scientificknowledge, today’s world has resulted in a great change inalmost all aspects. Technical facilities, machine learning,algorithms and other aspects are playing a huge role inalmost every part of the world. Taking this intoconsideration, this research was developed by us, whichincludes face recognition, face detection and featureextraction. This research is based on real time facerecognition for attendance, as it may help in huge numberof institutions and other sectors. Here no physicalinvolvement of invigilator is required. The system willtotally conduct the processes based on better internetconnection and better illumination. An extra feature hasbeen added which includes the details of the pupil to beemailed to their guardian. It’s undertaking is done withPython 3.7.6, OpenCV 3.4. and AnacondaNavigator(Anaconda3). The proposed arrangement istried for different light intensities and conditions.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom