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Artificial intelligence-enabled Internet of Things-based system for COVID-19 screening using aerial thermal imaging
Ahmed Barnawi1, Prateek Chhikara2, Rajkumar Tekchandani2
1Faculty of Computing and Information Technology, King Abdul Aziz University, Jeddah 21589, Saudi Arabia.
Future Generations Computer Systems : FGCS
|June 2, 2021
Summary
This study introduces an Internet of Things (IoT) and Unmanned Aerial Vehicle (UAV) system using thermal sensors and AI to detect individuals with high temperatures and check for face mask usage, aiding COVID-19 mitigation efforts.
Area of Science:
- Healthcare technology
- Artificial Intelligence
- Internet of Things
Background:
- The COVID-19 pandemic highlighted the need for advanced public health monitoring solutions.
- Internet of Things (IoT) and Artificial Intelligence (AI) offer transformative potential in healthcare.
- Unmanned Aerial Vehicles (UAVs) can be leveraged for remote data collection in critical situations.
Purpose of the Study:
- To propose an integrated IoT-UAV scheme for real-time COVID-19 risk assessment in public areas.
- To develop an efficient hybrid system for detecting elevated body temperatures and face mask compliance.
- To utilize edge computing for rapid data processing and decision-making.
Main Methods:
- Deployment of UAVs equipped with IoT thermal sensors for crowd data acquisition.
- Implementation of a hybrid face recognition system analyzing infrared images for high-temperature detection.
- Integration of a face mask detection algorithm.
- Performance evaluation using diverse machine learning and deep learning classifiers.
- Application of edge computing for onboard data processing.
Main Results:
- The proposed scheme achieved an average accuracy of 99.5% in identifying individuals with high temperatures and detecting face mask usage.
- Edge computing significantly reduced response times for real-time analytics.
- The system demonstrated practical applicability for large-scale, real-time public health surveillance.
Conclusions:
- The IoT-UAV-based system offers a highly accurate and efficient solution for monitoring public health during pandemics.
- The integration of AI, IoT, and UAV technology provides a robust framework for future public health challenges.
- The developed system supports timely interventions and mitigation strategies for infectious disease outbreaks.
