Face mask detection in smart cities using deep and transfer learning: Lessons learned from the COVID-19 pandemic
After different consecutive waves, the pandemic phase of Coronavirus disease 2019 does
not look to be ending soon for most countries across the world. To slow the spread of the …
not look to be ending soon for most countries across the world. To slow the spread of the …
Innovative hybrid approach for masked face recognition using pretrained mask detection and segmentation, robust PCA, and KNN classifier
Face masks are widely used in various industries and jobs, such as healthcare, food service,
construction, manufacturing, retail, hospitality, transportation, education, and public safety …
construction, manufacturing, retail, hospitality, transportation, education, and public safety …
Deep learning-based user experience evaluation in distance learning
The Covid-19 pandemic caused uncertainties in many different organizations, institutions
gained experience in remote working and showed that high-quality distance education is a …
gained experience in remote working and showed that high-quality distance education is a …
[HTML][HTML] An evaluation methodology to determine the actual limitations of a tinyml-based solution
Abstract Tiny Machine Learning (TinyML) is an expanding research area based on pushing
intelligence to the edge and bringing machine learning techniques to very small devices and …
intelligence to the edge and bringing machine learning techniques to very small devices and …
Semi-supervised, Neural Network based approaches to face mask and anomaly detection in surveillance networks
In the post-pandemic world, surveillance cameras play a key aspect when it comes to
detecting various kinds of security risks. These can range from burglars entering a premises …
detecting various kinds of security risks. These can range from burglars entering a premises …
A Comprehensive Survey of Masked Faces: Recognition, Detection, and Unmasking
Masked face recognition (MFR) has emerged as a critical domain in biometric identification,
especially by the global COVID-19 pandemic, which introduced widespread face masks …
especially by the global COVID-19 pandemic, which introduced widespread face masks …
Improving Accuracy of Face Recognition in the Era of Mask-Wearing: An Evaluation of a Pareto-Optimized FaceNet Model with Data Preprocessing Techniques
D Akingbesote, Y Zhan, R Maskeliūnas… - Algorithms, 2023 - mdpi.com
The paper presents an evaluation of a Pareto-optimized FaceNet model with data
preprocessing techniques to improve the accuracy of face recognition in the era of mask …
preprocessing techniques to improve the accuracy of face recognition in the era of mask …
A lightweight deep learning model for real‐time face recognition
Lightweight deep learning models for face recognition are becoming increasingly crucial for
deployment on resource‐constrained devices such as embedded systems or mobile …
deployment on resource‐constrained devices such as embedded systems or mobile …
Model Compression Techniques in Biometrics Applications: A Survey
The development of deep learning algorithms has extensively empowered humanity's task
automatization capacity. However, the huge improvement in the performance of these …
automatization capacity. However, the huge improvement in the performance of these …
Attendance System Optimization through Deep Learning Face Recognition
The significance of face recognition technology spans across diverse domains due to its
practical applications. This study introduces an innovative face recognition system that …
practical applications. This study introduces an innovative face recognition system that …