Results 41 to 50 of about 885 (208)

A Study of Deep Learning-Based Face Recognition Models for Sibling Identification

open access: yesSensors, 2021
Accurate identification of siblings through face recognition is a challenging task. This is predominantly because of the high degree of similarities among the faces of siblings. In this study, we investigate the use of state-of-the-art deep learning face
Rita Goel, Irfan Mehmood, Hassan Ugail
doaj   +1 more source

A Real-time Automated System for Object Detection and Facial Recognition [PDF]

open access: yesE3S Web of Conferences, 2023
Object detection, facial recognition, and person identification are important tasks in computer vision with numerous real-life applications. The major goal of the proposed model is to identify people and recognize them in the images.
Reddy K. Shyam Sunder   +4 more
doaj   +1 more source

Facial Recognition Technology-Based Attendance Management System Application in Smart Classroom

open access: yesIraqi Journal for Computer Science and Mathematics, 2023
Traditional attendance recording methods can be replaced with artificial intelligence (AI) methods. This paper aims to develop an automated attendance system with a user-friendly graphical interface in Arabic to enhance user interaction.
Ahmad S. Lateef, Mohammed Y. Kamil
doaj   +1 more source

Pengenalan Wajah Menggunakan Model Facenet Untuk Presensi Pegawai [PDF]

open access: yes, 2020
Penelitian ini membahas tentang metode yang sesuai untuk diterapkan dalam sistem presensi pegawai menggunakan wajah. Facenet adalah model yang dikembangkan Google yang mempunyai akurasi tertinggi dalam pengenalan wajah.
Cahyono, Ferry
core  

Efficiency analysis of the software module for face recognition based on the siamese convolutional neural network facenet [PDF]

open access: yes, 2023
В данной работе проведен анализ эффективности программного модуля распознавания лиц на базе сиамской свёрточной нейронной сети FaceNet.
Климбасов, А. А.
core  

PERFORMANCE COMPARISON OF FACENET PYTORCH AND KERAS FACENET METHODS FOR MULTI FACE RECOGNITION

open access: yesJurnal Media Elektrik
Face recognition has become an important technology in various applications, but challenges arise when multiple faces must be recognized simultaneously in a single image or video frame. This study develops a multi-face recognition system using the Multi-Task Cascaded Convolutional Neural Network (MTCNN) method for face detection, Pytorch Facenet and ...
Dedy Fitriady Fitriady   +2 more
openaire   +1 more source

Implementation of FaceNet and support vector machine in a real-time web-based timekeeping application [PDF]

open access: yes, 2022
This paper presents in detail how to build up and implement a real-time web-based face recognition application. The system works so that images of people are recorded and compared with the references on the database.
Nguyen, Hoang-Sy   +5 more
core   +2 more sources

Avaliação da CNN FaceNet para reconhecimento facial de estudantes em sala de aula / Evaluation of CNN FaceNet for facial recognition of students in the classroom [PDF]

open access: yes, 2021
Nos últimos anos o reconhecimento facial tem se tornado bastante maduro, principalmente devido aos avanços obtidos com Redes Neurais Convolucionais (CNNs).
Biesseck, Bernardo Janko Gonçalves   +1 more
core   +1 more source

Machine‐assisted image analysis facilitates conservation of iconic elasmobranchs

open access: yesEcological Solutions and Evidence, Volume 7, Issue 2, April–June 2026.
We present a case study involving a photo‐ID database of flapper skate (Dipturus intermedius) from Scotland, which was used to train a multistage, deep learning model, to enable automatic assessment of the similarity between flapper skate newly submitted to the database and those pre‐existing in the database.
John E. Halpin   +5 more
wiley   +1 more source

Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 1, January 2026.
A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar   +10 more
wiley   +1 more source

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