GPS Based UAV for Medical Emergency Application

Authors

  • Papi Reddy Bhavitha Professor, Department of Electronics and Communication Engineering, SV College of Engineering (SVCE), Tirupati, A.P. India Author
  • K Raveendra UG Students, Department of Electronics and Communication Engineering, SV College of Engineering (SVCE), Tirupati, A.P. India Author
  • Midde Srihitha UG Students, Department of Electronics and Communication Engineering, SV College of Engineering (SVCE), Tirupati, A.P. India Author
  • Pulla Sandhya UG Students, Department of Electronics and Communication Engineering, SV College of Engineering (SVCE), Tirupati, A.P. India Author
  • Gandikota Mounika UG Students, Department of Electronics and Communication Engineering, SV College of Engineering (SVCE), Tirupati, A.P. India Author
  • P S R Chidhvilasa Reddy UG Students, Department of Electronics and Communication Engineering, SV College of Engineering (SVCE), Tirupati, A.P. India Author

Keywords:

Drone Technology, GPS Navigation, Medical Supply Delivery, Remote Areas, Safety Features

Abstract

Unmanned Aerial Vehicles (UAVs), commonly known as drones, have emerged as promising tools for addressing medical emergencies by facilitating swift transportation of medical supplies to remote or inaccessible areas. This paper proposes a GPS-based UAV system designed specifically for medical emergency response. The UAV is equipped with precise GPS navigation technology, enabling it to autonomously navigate to predefined coordinates or dynamically generated emergency locations. The system integrates advanced sensors and communication modules to ensure efficient and reliable delivery of medical payloads, including essential supplies like first aid kits, medication, blood samples, or organs for transplantation. Moreover, the UAV is designed with safety features such as collision avoidance systems and redundant fail-safes to mitigate potential risks during flight. The proposed GPS-based UAV system holds significant potential to revolutionize emergency medical services by providing rapid and efficient support, particularly in remote or disaster-stricken areas where traditional transportation methods face limitations. Future enhancements may focus on optimizing flight routes, enhancing payload capacity, and integrating real-time monitoring systems for enhanced situational awareness and response coordination.              

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References

Assem Alsawy; Alan Hicks article "An Image Processing Based Classifier to Support Safe Dropping for Delivery-by-Drone" (published in the International Journal of Engineering and Advanced Technology in 2020) presents a comprehensive study on the design and implementation of a Drone in healthcare facilities.

Sreenivas Eeshwaroju; Praveena Jakkula “An IoT based Three-Dimensional Dynamic Drone Delivery (3D4) System” Information System & Engineering Management, Harrisburg University of Science and Technology, Harrisburg, Pennsylvania, USA.

Kazuya Matsutani; Shigetomo Kimura article "Delivery Routing to Reduce Calculation Load of Drones on Divided Logistics Areas for Drone Logistics Networks" (published in the Proceedings of the 6th International Conference on Information Technology for Cyber and Social Computing in 2018).

Ishii Keita; Harashima Katsumi research paper "Optimal Layout of Purchased Delivery Drones at An Outlet Mall" (published in the International Journal of Engineering Research & Technology in 2018).

Babar Shahzaad; Athman Bouguettaya. research paper "Service-Oriented Architecture for Drone-based Multi-Package Delivery" (published in the International Journal of Innovative Technology and Exploring Engineering in 2019) presents a study on the design and implementation of a real- time monitoring system.

Batool Madani; Malick Ndiaye research paper "Hybrid Truck-Drone Delivery Systems: A Systematic Literature Review" (published in the International Journal of Engineering and Technology in 2018).

Desheng Wang; Peng Hu; Jingxuan Du “Routing and Scheduling for Hybrid Truck-Drone Collaborative Parcel Delivery With Independent and TruckCarried Drones” published in IEEE Internet of Things Journal ( Volume: 6, Issue: 6, December 2019).

Mao Nishira; Satoshi Ito; Hiroki Nishikawa research paper "An ILP-based Approach to Delivery Drone Routing under Load-dependent Flight Speed" (published in the International Journal of Innovative Research in Science, Engineering, and Technology in 2018).

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Published

16-03-2024

Issue

Section

Research Articles

How to Cite

GPS Based UAV for Medical Emergency Application . (2024). International Journal of Scientific Research in Science and Technology, 11(2), 232-240. https://ijsrst.com/index.php/home/article/view/IJSRST52411239

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