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πŸ” Detect objects in real-time and extract their 3D coordinates using YOLOv5 and Intel RealSense D435 for robotic arm tasks.

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πŸ€– Real-Time-Object-Detection-with-Depth - Detect Objects in 3D Space

πŸ› οΈ Overview

"Real-Time-Object-Detection-with-Depth" harnesses the power of the YOLOv5 algorithm and the Intel RealSense D435 camera. This software enables you to detect objects while considering depth, allowing for accurate robotic arm movements and grasping. Perfect for developers and hobbyists alike, this application brings depth awareness to your projects.

πŸ“₯ Download

Download the Latest Release

Visit this page to download: Releases Page

πŸš€ Getting Started

To get started with "Real-Time-Object-Detection-with-Depth", please follow these steps closely.

1. Check Your System Requirements

Before you download, make sure your computer meets the following requirements:

  • Operating System: Windows 10 or later, or a compatible Linux distribution.
  • Processor: Intel Core i5 or equivalent.
  • RAM: At least 8 GB.
  • Graphics Card: NVIDIA GTX 1060 or better (for optimal performance).
  • USB Ports: Available USB port for Intel RealSense D435.

2. Download the Software

Go to the Releases Page.

  • Look for the latest version of the software.
  • Click the download link for your operating system.

3. Install the Software

Once the download is complete, follow these steps to install:

  • For Windows:

    • Locate the downloaded file, typically in your "Downloads" folder.
    • Double-click the installer file to begin the installation.
    • Follow the on-screen prompts.
  • For Linux:

    • Open your terminal.
    • Navigate to your "Downloads" folder.
    • Use the provided commands to make the file executable and install.

4. Connect the Intel RealSense D435

To use the depth-aware object detection features, connect your Intel RealSense D435 camera to your computer.

  • Make sure you have the correct drivers installed.
  • Check the camera connection using the USB port.

πŸ”§ Configuration

After installation, you may need to configure a few settings:

  • Open the application.
  • Set the camera parameters as needed, such as resolution and frame rate.
  • Adjust object detection settings based on your project requirements.

πŸ“Έ Testing

To test the setup:

  • Launch the application from your Start menu or desktop shortcut.
  • You will see a live feed from the Intel RealSense camera.
  • Try moving different objects in front of the camera to see the detection in action.

πŸ“š Additional Features

This application offers various features to enhance your experience:

  • Real-Time Detection: Detect objects in real time and extract their 3D coordinates.
  • Visualization Tools: View detected objects and their depths on the screen.
  • Robotic Arm Integration: Easily integrate with your robotic arm for precise movements.

πŸ’Ό Support and Documentation

For further assistance:

  • Visit the GitHub Issues Page to report bugs or seek help.
  • Check the documentation provided in the repository for detailed usage instructions and advanced configurations.

βš™οΈ Troubleshooting Common Issues

Here are some common problems and their solutions:

Issue: The camera is not recognized.

  • Ensure your camera is connected via a functioning USB port.
  • Check if the drivers are properly installed.

Issue: The application is running slowly.

  • Reduce the video resolution in the settings.
  • Close unnecessary applications to free up system resources.

Issue: Object detection is inaccurate.

  • Calibrate your camera settings.
  • Ensure good lighting conditions and avoid obstructions in the camera's view.

🌐 Community

Join discussions and share your progress with others using this software. Check platforms like GitHub and forums for user groups related to real-time object detection and robotics.

πŸ“₯ Download & Install Again

Don’t forget to download or update the software from our Releases Page whenever new versions become available. Stay informed about improvements and additional features!

Feel free to reach out to the community or contribute to the project to help it grow and improve.

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