Using Yolo for Mask Recognition

This project is designed to recognize face masks on an image using TensorFlow, Keras machine learning tools, YOLO-based Convolutional Neural Network family of models and a selection of 852 photos. This technology will enable the automated verification of masks on real-time video from surveillance ca...

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Bibliographic Details
Published in2022 International Conference on Smart Information Systems and Technologies (SIST) pp. 1 - 4
Main Authors Demidchik, N. N., Tulepbergenov, D. B., Kintonova, A. Zh, Glazyrina, N. S., Furayeva, I. I., Senkovskaya, A. A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 28.04.2022
Subjects
convolutional neural networks
Face recognition
Image recognition
Machine Learning
Medical services
Protocols
Real-time systems
Streaming media
Surveillance
TensorFlow
YOLO Object Detection
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Summary:This project is designed to recognize face masks on an image using TensorFlow, Keras machine learning tools, YOLO-based Convolutional Neural Network family of models and a selection of 852 photos. This technology will enable the automated verification of masks on real-time video from surveillance cameras, which will contribute to the implementation of the requirements of the Ministry of Healthcare of the Republic of Kazakhstan on the compliance with the mask regime. This application is designed to monitor wearing compliance with medical mask requirements at L.N. Gumilyov Eurasian National University in Nur-Sultan.
DOI:10.1109/SIST54437.2022.9945784