A blockchain-enabled machine learning mask detection method for prevention of pandemic diseases | [VAWKUM Transactions on Computer Sciences • 2023]

Author(s):

1. Anwar Ali Sathio: Department of CS& IT, Benazir Bhutto Shaheed University,Karachi,Sindh,Pakistan

2. Dr. Shafique Ahmed Awan: Department of CS& IT, Benazir Bhutto Shaheed University,Karachi,Sindh,Pakistan

3. Ali Orangzeb Panhwar: Department of CS, Shaheed Zulfiqar Ali Bhutto Institute of Science& Technologies(SZABIST) Gharo,Sindh,Pakistan

4. Ali Muhammad Aamir: Department of CS& IT, Benazir Bhutto Shaheed University,Karachi,Sindh,Pakistan

5. Ariz Muhammad Brohi: Department of CS& IT, Benazir Bhutto Shaheed University,Karachi,Sindh,Pakistan

6. Asadullah Burdi: Institute of Mathematics and Computer Science (IMCS), University of Sindh Jamshoro,Sindh,Pakistan

Abstract:

During the COVID-19 pandemic, finding efective methods to prevent the spread of infectious diseases has become critical. One important measure for reducing the transmission of airborne viruses is wearing face masks but enforcing mask-wearing regulations can be difficult in many settings. Real-time and accurate monitoring of mask usage is needed to address this challenge. To do so, we propose a method for mask detection using a Convolutional Neural Network (CNN) and Blockchain Technology. Our system involves training a CNN model on a Dataset of images of people with and without masks and then deploying it on IoT-enabled devices for real-time monitoring. The use of Blockchain Technology ensures the security and privacy of the data and enables the efficient sharing of resources among network participants. Our proposed system achieved 99 percent accuracy through CNN training and was transformed into a Blockchain-enabled network mechanism with QR validation of every node for authentication. This approach can potentially be an efective tool for promoting compliance with maskwearing regulations and reducing the risk of infection. We present a framework for implementing this technique and discuss its potential benefits and challenges.

Page(s): 165-183

DOI: DOI not available

Published: Journal: VAWKUM Transactions on Computer Sciences, Volume: 11, Issue: 1, Year: 2023

Keywords:

COVID19 , Machine learning , Covid19 , method , face Mask Detection Blockchain

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