Results 11 to 20 of about 1,109 (203)

Fatigue Detection on Face Image Using FaceNet Algorithm and K-Nearest Neighbor Classifier

Journal of Information Systems Engineering and Business Intelligence, 2021
Background: The COVID-19 pandemic has made people spend more time on online meetings more than ever. The prolonged time looking at the monitor may cause fatigue, which can subsequently impact the mental and physical health.
Faisal Dharma Adhinata, Diovianto Putra Rakhmadani, Danur Wijayanto   +2 more
doaj   +2 more sources

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

International 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

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

Jurnal 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, Hudiono Hudino, Yoyok Heru Prasetyo Isnomo   +2 more
doaj   +3 more sources

An AIoT-Based Edge Face Recognition System for Smart Door Access Control on Raspberry Pi

Journal of Electrical and Computer Engineering
Smart door access control has become an essential component of modern AIoT-enabled smart home systems. A total of 8 participants were involved in the data collection process.
Hung Dao Viet, Phat Nguyen Huu
doaj   +2 more sources

Использование FaceNet для обнаружения лиц [PDF]

В данной научной работе рассматривается использование нейронной сети FaceNet для задачи поиска аккаунтов пользователей по их фотографиям. FaceNet представляет собой архитектуру глубокого обучения, формирующую эмбеддинги изображений лиц, позволяя сопоставлять их по векторным представлениям в многомерном признаковом пространстве.
Гайков, Д. В.
core   +3 more sources

Evaluación del rendimiento de Facenet

, 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

A New Hybrid Fusion Approach Based on Classical Methods (PCA, LBP) and Deep Learning (FaceNet) for Performance Improvement of Face Recognition Methods

Applied Sciences
This article presents an empirical comparison of four automatic face recognition methods: Principal Component Analysis (PCA), Local Binary Patterns (LBP), the deep neural network FaceNet, and an original hybrid approach proposed by the authors, referred ...
Katarzyna Protasiuk, Khalid Saeed
doaj   +2 more sources

Application of artificial intelligence to eyewitness identification. [PDF]

Cogn Res Princ Implic
Artificial intelligence is already all around us, and its usage will only increase. Knowing its capabilities is critical. A facial recognition system (FRS) is a tool for law enforcement during suspect searches and when presenting photos to eyewitnesses ...
Kleider-Offutt H, Stevens B, Mickes L, Boogert S.   +3 more
europepmc   +2 more sources

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

ITM 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

Efficient Face Recognition System for Operating in Unconstrained Environments

Journal 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, Jesus Olivares-Mercado, Aldo Hernandez-Suarez, Karina Toscano-Medina, Gabriel Sanchez-Perez, Gibran Benitez-Garcia   +5 more
doaj   +1 more source