CBL - Campus del Baix Llobregat

Projecte llegit

Títol: Drone Colour object Tracking


Estudiants que han llegit aquest projecte:


Director/a: VALERO GARCÍA, MIGUEL

Departament: DAC

Títol: Drone Colour object Tracking

Data inici oferta: 12-02-2022     Data finalització oferta: 13-02-2022



Estudis d'assignació del projecte:
    MU DRONS
Tipus: Individual
 
Lloc de realització: EETAC
 
Paraules clau:
drone, tello, app
 
Descripció del contingut i pla d'activitats:
Development of an app for tello drone control
 
Overview (resum en anglès):
As a time passes each day, we see new facilities of Drone in this decade. Because of many limitations on a Drones and time consuming many experts all around the world do research and make some specific invention on that.
In this way many unbelievable inventions occur at a current era and it will happen a new facility in future of Drones such as expand raspberry pi computer, improving Gyroscope, camera accusations ways to provide positive impact.
During my internship project that I worked on Raspberry Pi computer for better understanding and recognizing both models of Drones (DJI model and the Manual one which works by Mission planner). In this way I could find and discover many Redberry Pi computer details and specific abilities of these computers. In this research I¿ve totally understood why the main processors of Raspberry Pi works for tiny digital devise easily and it could be adapted and synchronised with Drones or Rovers and other more devices.
Working on Raspberry Pie had done in UPC Campus del Baix Llobregat at Castelldefels". School of Telecommunications and Aerospace Engineering.
The main purpose of developing this application related to the future generation of Drones for better understanding the challenges which people would be face up with that.
This final project gathers by many other previous students all around the world who developed and find new solution for some drone application. Because of many limitations no one could define a specific solution for most of the strategic projects, but they could solve it by their own programs or other handmade tools for camera instruction.
For example: by hand made mirrors in front of Tello drone camera the talented student could provide a new facility for drone for mapping. In this way I decided introduce and open more details about picture recognition of Tello drone in two or more condition such as erosion or delegations and then introduce some new libraries such as YOLOv7.
For running and developing new facilities for Tello drone we have to use Python version 2.7.6 for better performances on Tello drone.
For running Tello drone without any specific problems we need to install some specific libraries such as cv2, numpy as np, djitellopy import Tello, CV Zone, Media Pipe.
All in all, during this project I face up with some other new algorithms which they woks perfectly on the other part of python programs such as GPU parts. Many developing programs are under test to provides a better performance in the near future.


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