Document Type
Poster
Publication Date
4-17-2024
Abstract
Drones are unmanned aerial vehicles that have a variety of uses in many fields such as package delivery and search operations. Tello is a small, programmable drone designed for educational purposes. We developed algorithms using DJI Tello Py, an open-source Application Programming Interface, to command the movements of Tello for tracking a target object (i.e., human). Our algorithms utilize digital image processing techniques on Tello's live video stream to optimize the number of movements Tello needs to reach its target. Our poster presentation will explain our approaches to implement object-tracking and facial detection for Tello, discuss lessons we learned, and highlight improvements for future work.
Recommended Citation
Shahatta, K., Savarese, P., Egitto, G., & Kim, J. (2024). Algorithmic Approaches for Object Tracking and Facial Detection Using Drones. Retrieved from https://digitalcommons.wcupa.edu/compsci_stuwork/2