Results 71 to 80 of about 1,466 (208)
A Light-Weight CNN Based Multi-Task Architecture for Apple Maturity and Disease Classification
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
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
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
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
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
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
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
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
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
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DEVELOPMENT OF AN ELECTRONIC EXAMINATION PLATFORM USING FACE RECOGNITION METHODS
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

