How to Build a Real-Time 3D Drone Visualization System Using STM32F4 Discovery and ESP32
Автор: Ala Eddine Engineer
Загружено: 2025-11-22
Просмотров: 42
Описание:
Hi everyone, and welcome! In this video, I'm excited to showcase my complete project demonstrating a full-stack approach to the Internet of Things: a *Real-Time 3D Drone Visualization* system.
*If you are interested in the source code, just leave me a comment, and I will send it to you immediately!*
This project is a deep dive into combining real-time operating systems (RTOS), low-level hardware communication, and modern web development.
🚀 The Full-Stack Journey: From STM32F4 to Three.js
This system successfully handles complex data flow through three distinct stages:
Stage 1: Embedded Data Acquisition (STM32F4 Discovery)
This stage focuses on highly efficient, low-level data reading from the hardware:
*Hardware:* We start on the *STM32F4 Discovery* board.
*Sensing:* Attitude data (Pitch, Roll, Z-Accl) is captured from the on-board **3-axis accelerometer**.
*Low-Level Comms:* Data is read using the high-speed *SPI* protocol and then transmitted serially via *UART* to the network processor.
Stage 2: Real-Time Network Bridge (ESP32 & FreeRTOS)
The *ESP32* serves as the critical communication gateway, leveraging concurrency to manage tasks efficiently:
*RTOS:* Using *FreeRTOS* allows for robust multitasking, simultaneously handling UART reception and maintaining network stability.
*Connectivity:* The system establishes a stable *TCP/IP* bridge, sending the real-time sensor data over the network.
Stage 3: Full-Stack Visualization (Python Flask & Three.js)
The final stage processes the data and presents it instantly to the user:
*Server:* A *Python Flask* server receives the TCP/IP data stream.
*3D Rendering:* The browser uses the powerful *Three.js* JavaScript library to create and manipulate a 3D drone model, updating its orientation in real-time based on the incoming Pitch and Roll values.
This project proves proficiency in RTOS architecture, hardware interfacing, and end-to-end IoT system development.
🛠️ Key Technologies Used
*Microcontrollers:* STM32F4 Discovery, ESP32
*OS:* FreeRTOS
*Communication:* SPI, UART, TCP/IP
*Web Frameworks:* Python Flask, Three.js (JavaScript)
*Sensor:* 3-axis Accelerometer
🔗 Useful Links
My LinkedIn Profile: [INSERT YOUR LINKEDIN LINK HERE]
*Note:* Source code is available upon request in the comments!
If you enjoyed this technical breakdown, please Like and Subscribe for more deep-dive projects!
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#️⃣ Video Hashtags
`#FreeRTOS`
`#STM32F4Discovery`
`#ESP32`
`#EmbeddedSystems`
`#IoT`
`#3DVisualization`
`#PythonFlask`
`#ThreeJS`
`#RealTime`
`#SPI`
`#UART`
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