tello_drone_controlled_and_simulation_objectdetection_using_
Project Title
The Digital Twin of a Drone
Description
This project integrates the control of a Tello mini-drone with MATLAB, using advanced features such as object detection with TFLite and YOLOv3 models in Simulink. It also establishes OPC UA communication between MATLAB and Prosys for data transfer and control, and aims to create a Digital Twin of the drone for real-world simulation. The project integrates AI/ML analysis and ensures secure, reliable data flow using OPC UA and WiFi communication protocols.
Prerequisites
- MATLAB software installed.
- Tello mini-drone connected to the MATLAB environment.
- Basic knowledge of MATLAB programming and control systems.
- Familiarity with Simulink for system modeling and simulation.
- Understanding of OPC UA communication and implementation.
Installation
- Install MATLAB from the MathWorks website.
- Connect the Tello mini-drone to MATLAB using the appropriate communication protocols.
- Set up the required toolboxes for advanced Simulink modeling and AI/ML implementation.
- Ensure a stable network connection for OPC UA communication.
Project Tasks
Tello Mini-Drone Control
- Implement basic controls for the Tello mini-drone (takeoff, landing, movement).
- Collect height and orientation data from the drone for analysis.
Object Detection with TFLite and YOLOv3 Models in Simulink
- Integrate TFLite model for object detection in Simulink environment.
- Explore YOLOv3 model adaptation for custom dataset analysis in Simulink.
OPC UA Communication and Data Transfer
- Establish secure communication between MATLAB and Prosys OPC UA server.
- Implement data transfer from the server to MATLAB for further analysis and control.
Digital Twin Creation and Simulation
- Develop a Digital Twin model mirroring the real-world drone movements.
- Ensure synchronization between the Digital Twin and the physical drone for accurate simulation.
AI/ML Integration and Data Analysis
- Apply AI/ML techniques for advanced data analysis and decision-making processes.
- Use data from the drone and the Digital Twin for predictive analysis and control optimization.
Secure Data Flow with OPC UA and WiFi Communication
- Implement secure and reliable data flow protocols using OPC UA and WiFi communication.
- Monitor data transfer for any potential security breaches or reliability issues.
Media
TFLite Object Detection in Simulink
YOLOv3 Model Integration in Simulink
Simulink Model Diagram
![Simulink Model Diagram](simulink model.png)
Project Demonstration Video
OPC UA Communication Setup
引用格式
Vikas Chelluru (2024). tello_drone_controlled_and_simulation_objectdetection_using_ (https://github.com/Vikas-ABD/tello_drone_controlled_and_simulation_objectdetection_using_simulink/releases/tag/1.1.0), GitHub. 检索来源 .
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Start Hunting!版本 | 已发布 | 发行说明 | |
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1.1.0 |