Results 11 to 20 of about 885 (208)

IoT-MFaceNet: Internet-of-Things-Based Face Recognition Using MobileNetV2 and FaceNet Deep-Learning Implementations on a Raspberry Pi-400 [PDF]

open access: yesJournal of Low Power Electronics and Applications
IoT applications revolutionize industries by enhancing operations, enabling data-driven decisions, and fostering innovation. This study explores the growing potential of IoT-based facial recognition for mobile devices, a technology rapidly advancing ...
Ahmad Saeed Mohammad   +2 more
exaly   +5 more sources

Construction of a smart face recognition model for university libraries based on FaceNet-MMAR algorithm. [PDF]

open access: yesPLoS ONE
The continuous development of science and technology has led to the gradual digitization and intelligence of campus construction. To apply facial recognition technology to construct smart libraries in higher education, this study optimizes traditional ...
Yan Liu, Yan Qu
doaj   +3 more sources

Efficient Face Recognition System for Operating in Unconstrained Environments [PDF]

open access: yesJournal of Imaging, 2021
Facial recognition is fundamental for a wide variety of security systems operating in real-time applications. Recently, several deep neural networks algorithms have been developed to achieve state-of-the-art performance on this task. The present work was
Alejandra Sarahi Sanchez-Moreno   +5 more
doaj   +2 more sources

Design and Development of Student Attention System using Face Recognition Based on MTCNN and FaceNet [PDF]

open access: yesJurnal Jaringan Telekomunikasi, 2023
Employees use their level of attendance or absence to demonstrate their presence at work or absence from it in an agency. This absence is connected to how discipline is applied, which is decided by each organization or institution.
Moch. Maulana Andhika Candra   +2 more
doaj   +4 more sources

Combining MTCNN and Enhanced FaceNet with Adaptive Feature Fusion for Robust Face Recognition [PDF]

open access: yesTechnologies
Face recognition systems typically face actual challenges like facial pose, illumination, occlusion, and ageing that significantly impact the recognition accuracy.
Sasan Karamizadeh   +2 more
doaj   +2 more sources

Visual Programming for Human Detection Using FaceNet in Pocket Code [PDF]

open access: yesInternational Journal of Interactive Mobile Technologies (iJIM)
Pocket Code is a visual programming-based mobile application for creating games, animations, music, videos, and other types of applications. This paper presents the integration of face recognition capabilities into Pocket Code through a visual programming interface based on the FaceNet architecture.
Md. Salah Uddin, Wolfgang Slany
openaire   +3 more sources

Research and Analysis of Facial Recognition Based on FaceNet, DeepFace, and OpenFace [PDF]

open access: yesITM Web of Conferences
This study provides a comprehensive review of recent advancements in face recognition technology, focusing on deep learning models such as FaceNet, DeepFace, and OpenFace.
Li Minghan
doaj   +3 more sources

Evaluación del rendimiento de Facenet [PDF]

open access: yes, 2019
Este trabajo presenta una evaluación de la variación del rendimiento de la red neuronal para reconocimiento de caras Facenet cuando varían algunas condiciones de la imagen de entrada. Facenet fue introducida en 2015 por un equipo de Google como evolución del modelo Inception y fue entrenada usando un esquema de tripletas (imagen base, imagen de la ...
Arechabala Anaya, Juan
openaire   +2 more sources

Improved likelihood ratios for face recognition in surveillance video by multimodal feature pairing [PDF]

open access: yesForensic Science International: Synergy
In forensic and security scenarios, accurate facial recognition in surveillance videos, often challenged by variations in pose, illumination, and expression, is essential.
Andrea Macarulla Rodriguez   +3 more
doaj   +2 more sources

Face Recognition of Indonesia’s Top Government Officials Using Deep Convolutional Neural Network

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023
Facial recognition is a part of Computer Vision that is used to get facial coordinates from an image. Many algorithms have been developed to support Facial Detection such as Cascade Face Detection using Haar-Like features and AdaBoost to classify its ...
Umar Aditiawarman   +3 more
doaj   +1 more source

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