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Autonomous Drones Utilizing
Blockchain Smart Contracts for
Patients Detection and Supplies
Delivery
Dr. Ayman Haggag
Contents
• Patients Detection
• Supplies Delivery
• Automatic Recharging
• References
Patients Detection
• Drones equipped with Computer
vision systems are used to
monitor the
– temperatures,
– heart rates, and
– respiratory system.
• Distinguish people with
symptoms of overheating,
sneezing and coughing from the
crowd. [1]
Supplies Delivery
• Drones have to automatically calculate the
route the drone should fly, how to go
around buildings, and how to avoid power
lines.
Supplies Delivery
This requires:
• detailed 3D maps of all the locations,
• Federal Aviation Administration (FAA)
databases, no fly zones, and other information
Supplies Delivery
• The drone has to be able to fly from its
origin to the destination without human
intervention, carrying medicine, supplies
and blood samples. [2]
• Still flying range is limited.
Automatic Recharging
• Maps of recharging stations are used.
• Drone broadcasts the need to the network.
• A near charging station responds.
Automatic Recharging
• Sign a blockchain smart contract.
• Pay for the service using Ether or Bitcoin.
• Get charged and continue the mission.
References
1. J. EUCHI, “Do drones have a realistic place in a pandemic fight for
delivering medical supplies in healthcare systems problems?,”
Chinese J. Aeronaut., 2020, doi: 10.1016/j.cja.2020.06.006.
2. M. Angurala, M. Bala, S. Singh, R. Kaur, and P. Singh, “Journal of
Safety Science and Resilience An internet of things assisted drone
based approach to reduce rapid spread of COVID-19,” vol. 1, no.
June, pp. 31–35, 2020, doi: 10.1016/j.jnlssr.2020.06.011.
3. V. Hassija, V. Saxena, and V. Chamola, “Scheduling drone charging
for multi-drone network based on consensus time-stamp and
game theory,” Comput. Commun., vol. 149, no. September 2019,
pp. 51–61, 2020, doi: 10.1016/j.comcom.2019.09.021.
4. T. Alladi, V. Chamola, N. Sahu, and M. Guizani, “Applications of
blockchain in unmanned aerial vehicles: A review,” Veh. Commun.,
vol. 23, p. 100249, 2020, doi: 10.1016/j.vehcom.2020.100249.
Thank you very much.
Dr. Ayman Haggag

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Autonomous drones against covid 19

  • 1. Autonomous Drones Utilizing Blockchain Smart Contracts for Patients Detection and Supplies Delivery Dr. Ayman Haggag
  • 2. Contents • Patients Detection • Supplies Delivery • Automatic Recharging • References
  • 3. Patients Detection • Drones equipped with Computer vision systems are used to monitor the – temperatures, – heart rates, and – respiratory system. • Distinguish people with symptoms of overheating, sneezing and coughing from the crowd. [1]
  • 4. Supplies Delivery • Drones have to automatically calculate the route the drone should fly, how to go around buildings, and how to avoid power lines.
  • 5. Supplies Delivery This requires: • detailed 3D maps of all the locations, • Federal Aviation Administration (FAA) databases, no fly zones, and other information
  • 6. Supplies Delivery • The drone has to be able to fly from its origin to the destination without human intervention, carrying medicine, supplies and blood samples. [2] • Still flying range is limited.
  • 7. Automatic Recharging • Maps of recharging stations are used. • Drone broadcasts the need to the network. • A near charging station responds.
  • 8. Automatic Recharging • Sign a blockchain smart contract. • Pay for the service using Ether or Bitcoin. • Get charged and continue the mission.
  • 9. References 1. J. EUCHI, “Do drones have a realistic place in a pandemic fight for delivering medical supplies in healthcare systems problems?,” Chinese J. Aeronaut., 2020, doi: 10.1016/j.cja.2020.06.006. 2. M. Angurala, M. Bala, S. Singh, R. Kaur, and P. Singh, “Journal of Safety Science and Resilience An internet of things assisted drone based approach to reduce rapid spread of COVID-19,” vol. 1, no. June, pp. 31–35, 2020, doi: 10.1016/j.jnlssr.2020.06.011. 3. V. Hassija, V. Saxena, and V. Chamola, “Scheduling drone charging for multi-drone network based on consensus time-stamp and game theory,” Comput. Commun., vol. 149, no. September 2019, pp. 51–61, 2020, doi: 10.1016/j.comcom.2019.09.021. 4. T. Alladi, V. Chamola, N. Sahu, and M. Guizani, “Applications of blockchain in unmanned aerial vehicles: A review,” Veh. Commun., vol. 23, p. 100249, 2020, doi: 10.1016/j.vehcom.2020.100249.
  • 10. Thank you very much. Dr. Ayman Haggag