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2021 | OriginalPaper | Buchkapitel

8. Drone-Based Social Distancing, Sanitization, Inspection, Monitoring, and Control Room for COVID-19

verfasst von : Adarsh Kumar, Kriti Sharma, Harvinder Singh, P. Srikanth, Rajalakshmi Krishnamurthi, Anand Nayyar

Erschienen in: Artificial Intelligence and Machine Learning for COVID-19

Verlag: Springer International Publishing

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Abstract

In recent times, the COVID-19 pandemic has affected billions of people worldwide and has resulted in the slowing down of the economy, industry shutdown, job losses, etc. Every country has taken appropriate measures to fight against pandemic by keeping in mind that health is the primary concern for human beings. This work introduces the COVID-19 pandemic and discusses its types, influence over mankind, prevention methods, and latest observations. Further, this study has designed drone-based case studies for pandemic monitoring, social distance measurements, the necessity of the control room, etc. The simulation is designed to have a single-layer drone movement strategy with a fixed distance. The simulation experimentation is derived from real-time drone movement and area coverage for sanitization. The drone movement and collision avoidance strategy are pre-emptive in nature, i.e., drones are derived to move to a fixed location and execute its functionality. At the ground level, service is designed for which people make queues and maintain social distance before being served. This case study shows its successful execution and can be mapped to a real-time environment. Further, a case study is extended to observe the real-time ambulance monitoring for patient pickup and drop at the hospital. Results show its successful working and continuous operation.

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Metadaten
Titel
Drone-Based Social Distancing, Sanitization, Inspection, Monitoring, and Control Room for COVID-19
verfasst von
Adarsh Kumar
Kriti Sharma
Harvinder Singh
P. Srikanth
Rajalakshmi Krishnamurthi
Anand Nayyar
Copyright-Jahr
2021
DOI
https://doi.org/10.1007/978-3-030-60188-1_8

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