Proceedings ArticleDOI
An approach to maintain attendance using image processing techniques
C. B. Yuvaraj,M. Srikanth,V. Santhosh Kumar,Y. V. Srinivasa Murthy,Shashidhar G. Koolagudi +4 more
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TLDR
The method proposed in this paper is to record the attendance through image using face detection and face recognition, implemented in four steps such as face detection, labelling the detected faces, training a classifier based on labelled dataset, and face recognize.Abstract:
Nowadays, the research is growing towards the invention of new approaches. One such most attracted application is face recognition of image processing. There are several innovative technologies have been developed to take attendance. Some prominent ones are biometric, thumb impressions, access card, and fingerprints. The method proposed in this paper is to record the attendance through image using face detection and face recognition. The proposed approach has been implemented in four steps such as face detection, labelling the detected faces, training a classifier based on labelled dataset, and face recognition. The database has been constructed with the positive images and negative images. The complete database has been divided into training and testing set and further, processed by a classifier to recognize the faces in a classroom. The final step is to take the attendance using face recognition technique in which the input image of a classroom is given, and faces of the given image will be detected along with their IDs. The frames of a video taken for a minute is taken into consideration to avoid the missed ones due to rotational issues.read more
Citations
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Journal ArticleDOI
Facial recognition using Haar cascade and LBP classifiers
TL;DR: In this article, a comparison of two face recognition techniques Haar Cascade and Local Binary Pattern was made for the classification. As a result, the accuracy of HBC was more than LBP but the execution time in HaBC was longer than HBC.
Proceedings ArticleDOI
An Approach Towards Building an IoT Based Smart Classroom
R Ani,S. Krishna,H. Akhil,U Arun +3 more
TL;DR: An approach to control and manage electrical equipments such as fans and lights based on human presence to help in reducing overutilization of energy resources is proposed.
Proceedings ArticleDOI
Single Sample Face Recognition Using Convolutional Neural Networks for Automated Attendance Systems
TL;DR: The experimental results prove that DenseNet121 is the best model for dealing with practice problems (up to 99% top-l accuracy) and the best and most robust model for deals with the single sample per person problem, which are related to using deep CNNs on a small dataset.
Journal ArticleDOI
A novel weather prediction model using a hybrid mechanism based on MLP and VAE with fire-fly optimization algorithm
TL;DR: This paper proposes an approach using a hybrid mechanism based on multi-layer perceptron (MLP) and variational auto-encoder (VAE) with a fire-fly optimization mechanism to extract features and do classification of weather data.
Proceedings ArticleDOI
Capturing Students’ Attention Through Visible Behavior: A Prediction Utilizing YOLOv3 Approach
TL;DR: A new approach of predicting student behavior (attentive or not attentive) based from face recognition during class session based on YOLO v3 algorithm, which demonstrates a real-time detection of student behavior.
References
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Proceedings ArticleDOI
Rapid object detection using a boosted cascade of simple features
Paul A. Viola,Michael Jones +1 more
TL;DR: A machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates and the introduction of a new image representation called the "integral image" which allows the features used by the detector to be computed very quickly.
Journal ArticleDOI
Face recognition: A literature survey
TL;DR: In this paper, the authors provide an up-to-date critical survey of still-and video-based face recognition research, and provide some insights into the studies of machine recognition of faces.
Posted Content
Facial Recognition Technology A Survey of Policy and Implementation Issues
TL;DR: In this article, the authors address the unique challenges and concerns that attend the development, evaluation, and specific operational uses, contexts, and goals of FRT, highlighting the potential and limitations of the technology, noting those tasks for which it seems ready for deployment, those performance obstacles may be overcome by future technological developments or sound operating procedures, and still other issues which appear intractable.