TurboPi Advanced

Specification

  • 1. Read First
    • 1.1 Introduction to TurboPi
    • 1.2 Package List
    • 1.3 Introduction to Raspberry Pi 5
    • 1.4 Burn Raspberry Pi Image
    • 1.5 Assembly
    • 1.6 Charging and Power-On Status Description
    • 1.7 Remote Desktop Installation and Connection
    • 1.8 Introduction to Docker Container and How to Access
    • 1.9 Pan-Tilt Adjustment
  • 2. Quick User Experience
    • 2.1 APP Installation and Connection
      • 2.1.1 Installation
      • 2.1.2 APP Connection
    • 2.2 Play Modes in the App
      • 2.2.1 Getting Started
      • 2.2.2 Start Exploring Play Modes
  • 3. Mecanum Wheel Robot Basic Lesson
    • 3.1 Introduction to Mecanum Wheel Movement
      • 3.1.1 Overview
      • 3.1.2 Working Principle
      • 3.1.3 Kinematic Analysis and Formula Derivation (Optional Reading)
    • 3.2 Moving Forward
      • 3.2.1 Brief Overview of Operation
      • 3.2.2 Enabling and Disabling the Feature
      • 3.2.3 Project Outcome
      • 3.2.4 Program Brief Analysis
      • 3.2.5 Feature Extensions
    • 3.3 Turning
      • 3.3.1 Brief Overview of Operation
      • 3.3.2 Enabling and Disabling the Feature
      • 3.3.3 Project Outcome
      • 3.3.4 Program Brief Analysis
      • 3.3.5 Feature Extensions
    • 3.4 Forward, Backward, and Sideways Movement
      • 3.4.1 Brief Overview of Operation
      • 3.4.2 Enabling and Disabling the Feature
      • 3.4.3 Project Outcome
      • 3.4.4 Program Brief Analysis
      • 3.4.5 Feature Extensions
    • 3.5 Diagonal Movement
      • 3.5.1 Brief Overview of Operation
      • 3.5.2 Enabling and Disabling the Feature
      • 3.5.3 Project Outcome
      • 3.5.4 Program Brief Analysis
      • 3.5.5 Feature Extensions
    • 3.6 Drifting Motion
      • 3.6.1 Brief Overview of Operation
      • 3.6.2 Enabling and Disabling the Feature
      • 3.6.3 Project Outcome
      • 3.6.4 Program Brief Analysis
      • 3.6.5 Feature Extensions
    • 3.7 URDF Model
      • 3.7.1 Introduction and Getting Started with URDF Model
        • 3.7.1.1 URDF Model Introduction
        • 3.7.1.2 Comparison between Xacro and URDF Model
        • 3.7.1.3 URDF Model Basic Syntax
      • 3.7.2 Robot URDF Model
        • 3.7.2.1 Getting Started
        • 3.7.2.2 Viewing the Robot Model Code
        • 3.7.2.3 URDF Model Visualization
  • 4. ROS+Open CV Course
    • 4.1 Single Color Recognition
      • 4.1.1 Brief Overview of Operation
      • 4.1.2 Enabling and Disabling the Feature
      • 4.1.3 Project Outcome
      • 4.1.4 Program Brief Analysis
      • 4.1.5 Feature Extensions
    • 4.2 Color Recognition
      • 4.2.1 Brief Overview of Operation
      • 4.2.2 Enabling and Disabling the Feature
      • 4.2.3 Project Outcome
      • 4.2.4 Program Brief Analysis
      • 4.2.5 Feature Extensions
    • 4.3 Color Positioning
      • 4.3.1 Brief Overview of Operation
      • 4.3.2 Enabling and Disabling the Feature
      • 4.3.3 Project Outcome
      • 4.3.4 Program Brief Analysis
      • 4.3.5 Feature Extensions
    • 4.4 Target Tracking
      • 4.4.1 Brief Overview of Operation
      • 4.4.2 Enabling and Disabling the Feature
      • 4.4.3 Project Outcome
      • 4.4.4 Program Brief Analysis
    • 4.5 Visual Line Following
      • 4.5.1 Brief Overview of Operation
      • 4.5.2 Enabling and Disabling the Feature
      • 4.5.3 Project Outcome
      • 4.5.4 Program Brief Analysis
    • 4.6 QR Code Recognition
      • 4.6.1 Brief Overview of Operation
      • 4.6.2 Enabling and Disabling the Feature
      • 4.6.3 Project Outcome
      • 4.6.4 Program Brief Analysis
    • 4.7 Intelligent Obstacle Avoidance
      • 4.7.1 Brief Overview of Operation
      • 4.7.2 Enabling and Disabling the Feature
      • 4.7.3 Project Outcome
      • 4.7.4 Program Brief Analysis
      • 4.7.5 Feature Extensions
    • 4.8 Traffic Light Navigation
      • 4.8.1 Brief Overview of Operation
      • 4.8.2 Enabling and Disabling the Feature
      • 4.8.3 Project Outcome
      • 4.8.4 Program Brief Analysis
  • 5. MediaPipe Human-Robot Interaction
    • 5.1 MediaPipe Introduction and Getting Started
      • 5.1.1 Overview of MediaPipe
    • 5.1.2 Advantages and Disadvantages of MediaPipe
      • 5.1.2.1 Advantages of MediaPipe
      • 5.1.2.2 Disadvantages of MediaPipe
      • 5.1.3 Workflow of Using MediaPipe
        • 5.1.3.1 Dependency
        • 5.1.3.2 MediaPipe Solutions
      • 5.1.4 Websites for MediaPipe Learning
    • 5.2 Background Segmentation
      • 5.2.1 Program Introduction
      • 5.2.2 Operation Steps
      • 5.2.3 Project Outcome
      • 5.2.4 Program Analysis
        • 5.2.4.1 Functions
        • 5.2.4.2 Class
    • 5.3 3D Object Detection
      • 5.3.1 Program Introduction
      • 5.3.2 Operation Steps
      • 5.3.3 Project Outcome
      • 5.3.4 Program Analysis
        • 5.3.4.1 Functions
        • 5.3.4.2 Class
    • 5.4 Face Tracking
      • 5.4.1 Program Introduction
      • 5.4.2 Operation Steps
      • 5.4.3 Project Outcome
      • 5.4.4 Program Analysis
        • 5.4.4.1 Functions
        • 5.4.4.2 Class
    • 5.5 3D Face Detection
      • 5.5.1 Program Introduction
      • 5.5.2 Operation Steps
      • 5.5.3 Project Outcome
      • 5.5.4 Program Analysis
        • 5.5.4.1 Functions
        • 5.5.4.2 Class
    • 5.6 Hand Keypoint Detection
      • 5.6.1 Program Introduction
      • 5.6.2 Operation Steps
      • 5.6.3 Project Outcome
      • 5.6.4 Program Analysis
        • 5.6.4.1 Functions
        • 5.6.4.2 Class
    • 5.7 Body Keypoint Detection
      • 5.7.1 Program Introduction
      • 5.7.2 Operation Steps
      • 5.7.3 Project Outcome
      • 5.7.4 Program Analysis
        • 5.7.4.1 Functions
        • 5.7.4.2 Class
    • 5.8 Fingertip Distance Recognition
      • 5.8.1 Program Introduction
      • 5.8.2 Operation Steps
      • 5.8.3 Project Outcome
      • 5.8.4 Program Analysis
        • 5.8.4.1 Functions
        • 5.8.4.2 Class
    • 5.9 Body Gesture Control
      • 5.9.1 Program Introduction
      • 5.9.2 Operation Steps
      • 5.9.3 Project Outcome
      • 5.9.4 Program Analysis
        • 5.9.4.1 Functions
        • 5.9.4.2 Class
    • 5.10 Human Pose Detection
      • 5.10.1 Program Introduction
      • 5.10.2 Operation Steps
      • 5.10.3 Project Outcome
      • 5.10.4 Program Analysis
        • 5.10.4.1 Functions
        • 5.10.4.2 Class
  • 6. Machine Learning Application
    • 6.1 YOLOv11 Model
      • 6.1.1 Introduction to the YOLO Series of Models
        • 6.1.1.1 YOLO Series
        • 6.1.1.2 YOLOv11
      • 6.1.2 Yolov11 Model Structure
        • 6.1.2.1 Components
        • 6.1.2.2 Composite Elements
    • 6.2 Yolov11 Workflow
      • 6.2.1 Prior Box
      • 6.2.2 Predicted Box
      • 6.2.3 Anchor Box
      • 6.2.4 Project Process
    • 6.3 Image Collection and Annotation
      • 6.3.1 Image Collection
      • 6.3.2 Image Annotation
    • 6.4 Data Format Conversion
      • 6.4.1 Preparation
      • 6.4.2 Data Format Conversion
    • 6.5 Model Training
      • 6.5.1 Preparation
      • 6.5.2 Model Training
    • 6.6 Traffic Sign Model Training
      • 6.6.1 Preparation
      • 6.6.2 Operation Steps
        • 6.6.2.1 Image Collection
        • 6.6.2.2 Image Annotation
        • 6.6.2.3 Generating Related Files
        • 6.6.2.4 Model Training
      • 6.6.3 Using the Model
  • 7. Network Configuration for Robot
    • 7.1 Changing Wi-Fi Name and Password
    • 7.2 Modify Network Connection Mode
  • 8. Large AI Model Courses
    • 8.1 Introduction and Installation of Voice Module
      • 8.1.1 Introduction to WonderEcho Pro
      • 8.1.2 WonderEchoPro Installation
      • 8.1.3 Firmware Flashing
      • 8.1.4 Firmware Creation
      • 8.1.5 Appendix
    • 8.2 Large Models Basic Courses
      • 8.2.1 Large Language Model Courses
      • 8.2.2 Large Speech Model Courses
      • 8.2.3 Vision Language Model Courses
      • 8.2.4 Multimodal Model Basic Courses
    • 8.3 Deployments of Multimodal Large Model
      • 8.3.1 Obtaining and Configuring the Large Model API Key
      • 8.3.2 Voice Control with Multimodal Large Model
      • 8.3.3 Autonomous Line Following with Multimodal Large Model
      • 8.3.4 Color Tracking with Multimodal Large Model
    • 8.4 Embodied AI Applications
      • 8.4.1 Real-Time Detection in Embodied AI Applications
      • 8.4.2 Intelligent Interaction in Embodied AI Applications
      • 8.4.3 Intelligent Obstacle Avoidance in Embodied AI Applications

Download

  • SD Card Formatting Tool
  • Image Burning Too
  • PuTTY（ssh）32bit
  • PuTTY（ssh）64bit
  • VNC
  • MobaXterm
  • File Transferring Tool
  • WonderPi APP Pack (Android)
  • WonderPi APP Pack (iOS)
  • Firmware Flashing Tool
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