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What is R-NN

Chapter 16
Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security
RNN stands for Recurrent Neural Network, this is a type of artificial neural network that can process sequential data, recognize patterns and predict the final output. This is called recurrent because it can repeatedly perform the same task or operation on a sequence of inputs.
Published in Chapter:
Biometric Identification Using Face Mask DL and Open CV: Security Approach Post COVID-19
Rohit Rastogi (ABES Engineering College, Ghaziabad, India), Yati Varshney (ABES Engineering College, Ghaziabad, India), Sonali Jaiswal (ABES Engineering College, Ghaziabad, India), Markandey Sharma (ABES Engineering College, Ghaziabadm, India), and Mayank Gupta (Eli Lilly and Company, Ghaziabad, India)
Copyright: © 2024 |Pages: 25
DOI: 10.4018/979-8-3693-2639-8.ch016
Abstract
COVID-19 is a disease which spreads with human-to-human interaction. In this situation, humans need to be distanced from each other. To prevent the pandemic, people need to wear masks. Wearing a mask is mandatory for all people. That's why it is important to detect whether a person is wearing it or not. This chapter aims to provide a biometric approach for COVID 19 prevention. In this research the machine is able to check whether a person is wearing a mask or not from an image or a live stream. This research is also a smart approach for smart cities. In this research, the authors generate the artificial dataset by adding the mask on the faces of the persons in the images. And that can be done by the automation of the unmasked people's images dataset. The dataset is trained using tensor flow/keras for providing the classifier which classifies the image. This research is valid on image and on live streams.
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