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Multi-Agent System Based Mobile Help Desk and Monitoring of Safety Measures to Combat COVID-19 and Future Pandemics
- Source :
- 2021 International Conference on Artificial Intelligence (ICAI).
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- The outbreak of COVID-19 pandemic presents an unprecedented challenge for humanity. The historical data about the past pandemics indicates towards a high possibility of future pandemics. Moreover, current pandemic is expected to stay for longer time. In this situation, social robots hold a huge potential to assist in fighting against current and future pandemics by minimizing human-to-human interactions e.g., by providing digital help desk, and monitoring the compliance of people with required safety measures at public places. A huge number of robots are required to monitor large spaces like shopping malls, airports etc. Therefore, we present Multi-Agent System (MAS) to provide robot based mobile help desk and monitoring safety measure of wearing face mask, for large spaces in an efficient and cost-effective manner. Our proposed MAS is based on collaborative work of two agents: 1) CCTV Camera, and 2) Robot. Experimental results show efficiency and effectiveness of proposed MAS in navigation and control of robot based on visual information interpreted by CCTV camera to provide mobile help desk, and detecting face masks through robot by using state-of-the-art real-time computer vision algorithms in large spaces.
- Subjects :
- 0209 industrial biotechnology
Social robot
Coronavirus disease 2019 (COVID-19)
Computer science
Multi-agent system
Control (management)
02 engineering and technology
Computer security
computer.software_genre
020901 industrial engineering & automation
Work (electrical)
Pandemic
0202 electrical engineering, electronic engineering, information engineering
Robot
020201 artificial intelligence & image processing
computer
Desk
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2021 International Conference on Artificial Intelligence (ICAI)
- Accession number :
- edsair.doi...........8f9aa1d9450aaa030b5662678c106fd5