Artificial Intelligence Based Drone for Healthcare

Authors

  • Arti Singh Department of Electronics and Telecommunication Engineering, K. C. College of Engineering & Management Studies & Research, Kopri, India
  • Rashmitha Shetty Department of Electronics and Telecommunication Engineering, K. C. College of Engineering & Management Studies & Research, Kopri, India
  • Tanmay Kale Department of Electronics and Telecommunication Engineering, K. C. College of Engineering & Management Studies & Research, Kopri, India
  • Sandhya Yadav Department of Electronics and Telecommunication Engineering, K. C. College of Engineering & Management Studies & Research, Kopri, India
  • Rajiv Iyer Department of Electronics and Telecommunication Engineering, K. C. College of Engineering & Management Studies & Research, Kopri, India

Keywords:

Quadcopter, Healthcare drone, Electrical speed Controller, Pixhawk

Abstract

Drones, due to their numerous applications ease human life. As drone technology advances, these aircraft are currently used in great demand. Pros of using drones are quality aerial image, precision, easily deployable, and security. The main objective of this work is to design and develop a drone that can be used in the healthcare sector. It is very difficult to supply basic medical kits or other healthcare items during a calamity or when there is traffic congestion due to bad weather. To overcome this problem, an artificial intelligence-based drone is designed for the delivery of necessary healthcare items. Components used in building the AI-based drone are the frame, Pixhawk flight controller, brushless motors, carbon fiber propeller, Global Positioning System (GPS), and a telemetry module. The proposed type can be controlled using a remote controller and an android mobile phone using a Qground control application. This proposed system can deliver necessary items up to1-1.5 pounds.

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Published

02-05-2021

Issue

Section

Articles

How to Cite

[1]
A. Singh, R. Shetty, T. Kale, S. Yadav, and R. Iyer, “Artificial Intelligence Based Drone for Healthcare”, IJRAMT, vol. 2, no. 4, pp. 140–144, May 2021, Accessed: Nov. 24, 2024. [Online]. Available: https://journals.ijramt.com/index.php/ijramt/article/view/681