Results 91 to 100 of about 982 (204)
DEVELOPMENT OF AN ELECTRONIC EXAMINATION PLATFORM USING FACE RECOGNITION METHODS
Online systems face a major challenge in efficiently monitoring participants and students throughout lectures, particularly during exams. Establishing robust approaches and technologies is essential for identifying unjust, unethical, and illegal conduct
Maryam A. Sulaiman
doaj +1 more source
Face Detection on Images Using Deep Learning Models
Detekcija lica na fotografijama koristeći modele dubokog učenja Rješavanje problema detekcije lica na fotografija pomoću klasičnih i modernih metoda.
Klaić, Mario
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Multi-task Learning for Gender and Age Prediction on Chinese Microblog
The demographic attributes gender and age play an important role for social media applications. Previous studies on gender and age prediction mostly explore efficient features which are labor intensive.
Qi Li +7 more
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Real-Time Student Attendance Recognition Using a Centroid Based MTCNN–ArcFace Framework
Student attendance remains susceptible to proxy attendance and operational inefficiencies, while many face recognition systems are evaluated only on benchmark datasets and rarely investigate identity representation strategies under real-world educational
Suroso, Suroso +2 more
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Face recognition is a rapidly growing biometric technology, especially with the application of Convolutional Neural Networks (CNN) such as FaceNet and VGG16.
Prastyo, Agung Budi, Setyanto, Arief
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© 2019, Springer Science+Business Media, LLC, part of Springer Nature. Driver’s face detection and alignment techniques in Intelligent Transportation System (ITS) under unlimited environment are challenging issues, which are conductive to supervising ...
Li, J, Lv, P, Zhang, Y, Lu, X
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Facial emotion recognition and summarization in mock interviews using CNN-transformer hybrids
Facial Emotion Recognition (FER) is essential for assessing nonverbal behavior in mock interviews, providing insights into candidates confidence, engagement, and communication effectiveness.
Padma Jyothi Uppalapati +2 more
doaj +1 more source
Deep Learning for Object Detection
This work deals with the object detection using deep neural networks. As part of the solution, I modified, implemented and trained the well-known model of cascade neural networks MTCNN so that it could perform the detection of traffic signs. The training
Paníček, Andrej
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Robust Face Recognition Across Ages with MTCNN
Age-related variations in facial appearance pose a significant challenge to theaccuracy and reliability of traditional face recognition systems. For face recognition to be accurateand effective across a variety of age groups, a system that counteracts the effects of ageing on facialfeatures must be developed.
openaire +1 more source
Face Recognition for Student Attendance Using Mtcnn AND Pre-Trained Facenet
Attendance management remains a critical component in both industrial and educational settings. Traditional attendance methods based on manual signatures are often inefficient, prone to errors, and vulnerable to impersonation.
o‘g‘li, F. M. (Fayziyev)
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