Open AccessReal Time Implementation of Face Recognition based Smart Attendance System
Author(s) -
Md. Salah Uddin Yusuf,
Azmol Ahmed Fuad
Publication year - 2021
Publication title -
wseas transactions on signal processing
Language(s) - English
Resource type - Journals
eISSN - 2224-3488
pISSN - 1790-5052
DOI - 10.37394/232014.2021.17.6
Subject(s) - computer science , facial recognition system , task (project management) , interface (matter) , histogram , frame (networking) , artificial intelligence , face (sociological concept) , face detection , histogram of oriented gradients , human–computer interaction , computer vision , machine learning , pattern recognition (psychology) , image (mathematics) , telecommunications , social science , management , bubble , maximum bubble pressure method , parallel computing , sociology , economics
This research work addresses the issue of incorporating an automatic attendance system to the frame of an institution using face detection and recognition techniques. The proposed system aims at reducing computational time with available hardware to yield more efficient results. The proposed model utilizes Histogram Oriented Gradients and facial encodings derived from facial landmarks. It also addresses the problems related to accuracy of facial recognition and the resource requirement for quick, real-time facial recognition by applying multi-processing. The improvement in performance in terms of accuracy across two different methods, and the improvement in terms of time requirement for the same method using different strategies have also been documented for demonstration. The designed system demonstrates the effectiveness of task parallelization with a minimum amount of hardware desiderata. The system has been designed to an optimum self-sustaining ecosystem which can efficiently operate on its own accord and compute comprehensible feedback without the requirement of any third-party human interference. A Graphical User Interface has been incorporated into the system for maximum user comprehensibility