Results 61 to 70 of about 1,466 (208)

Development of a Face Mask Detection and Masked Facial Recognition Model Based on a Hybrid Convolutional Neural Network

IET Image Processing, Volume 19, Issue 1, January/December 2025.
The rapid growth of facial recognition technology has faced hindrances due to the COVID‐19 pandemic, where mandatory face mask usage obscured facial features, challenging existing authentication methods. Despite advancements in face mask detection and recognition models real time assessments remain challenging due to factors like poor lighting, varied ...
Chezlyn Pillay, Seena Joseph, Brett van Niekerk   +2 more
wiley   +1 more source

Geometric Feature Enhancement for Robust Facial Landmark Detection in Makeup Paper Templates

Applied Sciences
Traditional scoring of makeup face templates in beauty skill assessments heavily relies on manual judgment, leading to inconsistencies and subjective bias.
Cheng Chang, Yong-Yi Fanjiang, Chi-Huang Hung   +2 more
doaj   +1 more source

Contactless Health Monitoring: An Overview of Video‐Based Techniques Utilising Machine/Deep Learning

IET Wireless Sensor Systems, Volume 15, Issue 1, January/December 2025.
This review article presents a comprehensive examination of contactless health monitoring techniques utilising machine learning (ML) and deep learning (DL) algorithms for the assessment of critical vital signs. ABSTRACT Vital signs are crucial indicators of an individual's physiological well‐being and represent one of the primary evaluations conducted ...
Alaa Hajr, Bahram Tarvirdizadeh, Khalil Alipour, Mohammad Ghamari   +3 more
wiley   +1 more source

Enhancing Face Recognition Model Performance Through HyperStyle‐Driven Data Augmentation

Applied Computational Intelligence and Soft Computing, Volume 2025, Issue 1, 2025.
Face recognition is a reliable biometric technology that utilizes artificial intelligence and computer vision to identify and verify an individual’s identity based on facial features. Its rapid development has enabled integration into diverse applications, including security systems, access control, forensics, and mobile devices.
Muhammad Chaidir, Taufik F. Abidin, Hizir Sofyan, Kahlil Muchtar, Dimitrios A. Karras   +4 more
wiley   +1 more source

Analysis of FaceNet and VGG16 for Blind Face Recognition with MTCNN and HaarCascade Detection Methods

G-Tech
Face recognition is a rapidly growing biometric technology, especially with the application of Convolutional Neural Networks (CNN) such as FaceNet and VGG16.
A. Prastyo, Arief Setyanto
semanticscholar   +1 more source

Research on Machine Vision–Based Intelligent Tracking System for Maintenance Personnel

Journal of Advanced Transportation, Volume 2025, Issue 1, 2025.
Upon returning to the depot, rail transit vehicles require necessary maintenance. The working condition of train maintenance personnel directly impacts the safety of both staff and equipment. Therefore, effective monitoring and control of activities within train roof access platforms are essential.
Yinglin Ma, Hongmei Shi, Yao Wang, Baofeng Li, Peter J. Jin   +4 more
wiley   +1 more source

A Comparative Benchmark of Face Detection Models for Noisy and Dynamic Online Class Environments

Future Internet
Monitoring students’ on-screen availability is increasingly critical for analyzing participation patterns in synchronous online learning, especially under videoconferencing conditions characterized by compressed video streams, low-resolution face regions,
Cesar Isaza, Pamela Rocío Ibarra Tapia, Cristian Felipe Ramirez-Gutierrez, Jonny Paul Zavala de Paz, Jose Amilcar Rizzo Sierra, Karina Anaya   +5 more
doaj   +1 more source

A Scoping Review of Literature on Deep Learning Techniques for Face Recognition

Human Behavior and Emerging Technologies, Volume 2025, Issue 1, 2025.
Deep learning has led to the creation of facial recognition technologies using convolutional neural networks (CNNs). This preliminary study explores the application of CNN architectures in face recognition to gain a deeper understanding of the challenges and methodologies in the field.
Andisani Nemavhola, Serestina Viriri, Colin Chibaya, Stephen Gbenga Fashoto   +3 more
wiley   +1 more source

The Role of Time in Facial Dynamics and Challenges in Automatic Emotion Recognition (2019–2024)

Human Behavior and Emerging Technologies, Volume 2025, Issue 1, 2025.
Based on a comprehensive literature review, this study highlights the critical role of the temporal dimension of facial dynamics in understanding facial expressions and improving the accuracy and robustness of automatic emotion recognition systems (machine‐FER).
Williams Contreras-Higuera, Lucrezia Crescenzi-Lanna, Mirko Duradoni   +2 more
wiley   +1 more source

Video Identifying and Eraser: Use Multi-Task Cascaded Convolutional Neural Network to Enhance Safety in a Text-to-Video Diffusion Model

Applied Sciences
Current security solutions predominantly rely on cloud-based implementations, often neglecting computational resource constraints and operational efficiency.
Shuang Lin, Ranran Zhou, Yong Wang
doaj   +1 more source