Projecte llegit
Títol: Contribución al Drone Engineering Ecosystem mediante un sistema interactivo basado en reconocimiento de imagen y voz
Estudiants que han llegit aquest projecte:
MATEOS JIMENEZ, BIANCA (data lectura: 13-07-2026)- Cerca aquest projecte a Bibliotècnica
MATEOS JIMENEZ, BIANCA (data lectura: 13-07-2026)Director/a: VALERO GARCÍA, MIGUEL
Departament: DAC
Títol: Contribución al Drone Engineering Ecosystem mediante un sistema interactivo basado en reconocimiento de imagen y voz
Data inici oferta: 16-07-2025 Data finalització oferta: 16-03-2026
Estudis d'assignació del projecte:
- GR ENG SIST AEROESP
| Tipus: Individual | |
| Lloc de realització: EETAC | |
| Paraules clau: | |
| Dron, aplicación web, Drone Engineering Ecosystem, reconocimiento de imagen, reconocimiento de voz, MQTT, MAVLink, simulación, geolocalización. | |
| Descripció del contingut i pla d'activitats: | |
| Overview (resum en anglès): | |
| This Bachelor's Thesis presents the development of an interactive system based on the use of a drone, a web application and a drone control module. The project is integrated into the Drone Engineering Ecosystem with the aim of providing a new way of interaction between users and the aerial platform, proposing a game dynamic in which participants do not only observe the operation of the drone, but also become part of the system itself.
The developed system is mainly composed of two modules: DroneWebApp and DroneControl. DroneWebApp allows users to register, obtain their real-time location, display it on a map and manage the game from a control panel. On the other hand, DroneControl acts as an intermediary between the web application and the drone, receiving commands through MQTT and executing them on the aerial platform using the DronLink library. In addition, image processing and voice recognition functionalities have been incorporated. The image captured by the camera allows the system to detect people, correct the distortion caused by the fisheye lens, perform image centering and recognize hand gestures within the game logic. Voice recognition allows players to select the next participant by saying their identifying color. The system has been validated through simulation and real-mode tests. The results obtained show that the developed architecture allows the different modules to be correctly integrated and the main objectives of the project to be fulfilled, although some limitations have also been detected, mainly related to the performance of the processed image and the image-centering process with the real drone. Overall, the project provides a functional and extendable base for future demonstrations, outreach activities and new developments within the ecosystem. |
|