The MARK8 Drone : Smart Drone for Delivery Medicine

Authors

  • Suraj Phawade  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Rishabh Thakur  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Misba Mulla  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Vaishnavi Thute  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Prof. Ajit Pagar  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India

Keywords:

Drone, Arduino UNO, Barometer, Compass, Python, Camera Module, QR Code, Brushless motors, ESC, Propellers

Abstract

Drones have the ability to gather real time data cost effectively, to deliver payloads and have initiated the rapid evolution in various scientific purposes, public safety, and in commercial industries. Ordinary drone applications in medicine include the assessments for delivering aid packages, medicines, vaccines, blood and other medical supplies to remote areas with the help of security by using QR Code scanning to open and place aids in container box; Drones help provide emergency healthcare service to patients from a distance to a remote area where reaching by road or other means are either dangerous or not possible. Rapid and fast order deliveries make significant efficiency and early help to needy and avoid life threatening scenarios. Paramedics or health service staff can use drone to deliver required medical supplies to high altitude points or in hostile areas. Our systems include the most efficient and effective algorithms which make it very helpful for delivery medicines for people via drone.

References

  1. Motlagh N.H., Bagaa M., Taleb T. UAV-based IoT platform: A crowd surveillance use case. IEEE Commun. Mag. 2017;55:128–134. doi: 10.1109/MCOM.2017.1600587CM. [CrossRef] [Google Scholar]
  2. Kersnovski T., Gonzalez F., Morton K. A UAV system for autonomous target detection and gas sensing; Proceedings of the Aerospace Conference; Big Sky, MT, USA. 4–11 March 2017; pp. 1–12. [Google Scholar]
  3. Motlagh N.H., Bagaa M., Taleb T. UAV-based IoT platform: A crowd surveillance use case. IEEE CommuneMag. 2017;55:128–134. doi: 10.1109/MCOM.2017.1600587CM. [CrossRef] [Google Scholar]
  4. Kersnovski T., Gonzalez F., Morton K. A UAV system for autonomous target detection and gas sensing; Proceedings of the Aerospace Conference; Big Sky, MT, USA. 4–11 March 2017; pp. 1–12. [Google Scholar]
  5. Kumbhar A., Guvenc I., Singh S., Tuncer A. Exploiting LTE-Advanced HetNets and FeICIC for UAV-assisted public safety communications. IEEE Access. 2018;6:783–796. doi: 10.1109/ACCESS.2017.2776120. [CrossRef] [Google Scholar]
  6. Bupe P., Haddad R., Rios-Gutierrez F. Relief and emergency communication network based on an autonomous decentralized UAV clustering network; Proceedings of the SoutheastCon; Fort Lauderdale, FL, USA. 9–12 April 2015; pp. 1–8. [Google Scholar]
  7. Merwaday A., Guvenc I. UAV assisted heterogeneous networks for public safety communications; Proceedings of the Wireless Communications and Networking Conference Workshops (WCNCW); New Orleans, LA, USA. 9–12 March 2015; pp. 329–334. [Google Scholar]
  8. Motlagh N.H., Bagaa M., Taleb T. UAV-based IoT platform: A crowd surveillance use case. IEEE Commun. Mag. 2017;55:128–134. doi: 10.1109/MCOM.2017.1600587CM. [CrossRef] [Google Scholar]
  9. Motlagh N.H., Bagaa M., Taleb T. UAV-based IoT platform: A crowd surveillance use case. IEEE Commun. Mag. 2017;55:128–134. doi: 10.1109/MCOM.2017.1600587CM. [CrossRef] [Google Scholar]
  10. Kersnovski T., Gonzalez F., Morton K. A UAV system for autonomous target detection and gas sensing; Proceedings of the Aerospace Conference; Big Sky, MT, USA. 4–11 March 2017; pp. 1–12. [Google Scholar]
  11. Kumbhar A., Guvenc I., Singh S., Tuncer A. Exploiting LTE-Advanced HetNets and FeICIC for UAV-assisted public safety communications. IEEE Access. 2018;6:783–796. doi: 10.1109/ACCESS.2017.2776120. [CrossRef] [Google Scholar]
  12. Bupe P., Haddad R., Rios-Gutierrez F. Relief and emergency communication network based on an autonomous decentralized UAV clustering network; Proceedings of the SoutheastCon; Fort Lauderdale, FL, USA. 9–12 April 2015; pp. 1–8. [Google Scholar]
  13. Merwaday A., Guvenc I. UAV assisted heterogeneous networks for public safety communications; Proceedings of the Wireless Communications and Networking Conference Workshops (WCNCW); New Orleans, LA, USA. 9–12 March 2015

Downloads

Published

2020-04-30

Issue

Section

Research Articles

How to Cite

[1]
Suraj Phawade, Rishabh Thakur, Misba Mulla, Vaishnavi Thute, Prof. Ajit Pagar "The MARK8 Drone : Smart Drone for Delivery Medicine" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 10, pp.159-168, March-April-2020.