Results 71 to 80 of about 1,466 (208)

A Light-Weight CNN Based Multi-Task Architecture for Apple Maturity and Disease Classification

open access: yesBiology and Life Sciences Forum
Quickly and accurately judging the quality grades of apples is the basis for choosing suitable harvesting date and setting a suitable storage strategy.
Li Zhang, Jie Cao
doaj   +1 more source

A Light CNN for End-to-End Car License Plates Detection and Recognition

open access: yesIEEE Access, 2019
License Plate Recognition (LPR) is of great significance due to its wide range of applications in the Intelligent Transportation System (ITS). It is an important and challenging research topic in image recognition fields.
Wanwei Wang   +3 more
doaj   +1 more source

Class Monitoring System Tools MTCNN and Haarcascade Classifier

open access: yesInternational Journal of Engineering & Technology, 2018
The project aims towards the assistance of teachers at the time of taking attendance. The system solely focuses on face detection and recognition. The tools used to device the system are API’s offered by Python 3.6, Open CV(for detection) and a few cognitive tools provided by Azure.The basic idea behind the project is face recognition linked to a ...
Aditya Vikram Bhattacharya   +3 more
openaire   +2 more sources

Voter Authentication Using Enhanced ResNet50 for Facial Recognition

open access: yesSignals
Electoral fraud, particularly multiple voting, undermines the integrity of democratic processes. To address this challenge, this study introduces an innovative facial recognition system that integrates an enhanced 50-layer Residual Network (ResNet50 ...
Aminou Halidou   +4 more
doaj   +1 more source

Robust Face Recognition Using Deep Learning and Ensemble Classification

open access: yesIEEE Access
Facial recognition systems are widely used in various applications such as security, healthcare, and authentication, but face significant challenges in uncontrolled environments.
Pavani Chitrapu   +2 more
doaj   +1 more source

A Deep Learning Approach for Early Detection of Facial Palsy in Video Using Convolutional Neural Networks: A Computational Study

open access: yesComputers
Facial palsy causes the face to droop due to sudden weakness in the muscles on one side of the face. Computer-added assistance systems for the automatic recognition of palsy faces present a promising solution to recognizing the paralysis of faces at an ...
Anuja Arora   +4 more
doaj   +1 more source

Face Detection on profile picture using MTCNN Algorithm

open access: yes
Abstract: This paper presents a face detection using multi-task cascading convolutional network (MTCNN) method, especially for face images. By recognizing the presence of a face, the goal is to ensure the integrity of the user's profile picture. The system leverages the efficiency and accuracy of MTCNN to upload profile images and verify the presence ...
Rijul Rojio, Jinson Devis
openaire   +1 more source

Precise PIV Measurement in Low SNR Environments Using a Multi-Task Convolutional Neural Network

open access: yesJournal of Marine Science and Engineering
Particle Image Velocimetry (PIV) is essential in experimental fluid mechanics, providing nonintrusive flow field measurements. Among the recent advances in PIV algorithms, deep-learning-based optical flow estimation is distinguished by its high spatial ...
Yichao Wang   +4 more
doaj   +1 more source

POWER OF ALIGNMENT: EXPLORING THE EFFECT OF FACE ALIGNMENT ON ASD DIAGNOSIS USING FACIAL IMAGES

open access: yesInternational Islamic University Malaysia Engineering Journal
Autism Spectrum Disorder (ASD) is a developmental disorder that impacts social communication and conduct. ASD lacks standard treatment protocols or medication, thus early identification and proper intervention are the most effective procedures to treat ...
Muhammad Mahbubur Rashid   +1 more
doaj   +1 more source

DEVELOPMENT OF AN ELECTRONIC EXAMINATION PLATFORM USING FACE RECOGNITION METHODS

open access: yesScience Journal of University of Zakho
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

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