Construction-Dashboard

The Construction-Dashboard is a tool designed to load an image and visualize it in 3D by analyzing the intensity of pixels. The application provides a robust platform for enhancing site safety and monitoring by incorporating advanced features like pathfinding and real-time updates.

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Features

Core Components

1. Main Application Class (ImageInterface)

   • Initializes the Tkinter GUI window and sets up the layout.
   • Provides functionality for loading images, rendering them in 3D, and displaying the image.

2. Image Rendering and Visualization

   • Renders the loaded image in 3D using Matplotlib.
   • Visualizes paths between two points on the image.

Functionality

• Load Image:
  • Allows users to select an image file (supports .png, .jpg, and .jpeg).
  • Displays the selected image in grayscale.
• 3D Visualization:
  • Renders the grayscale image in a 3D plot.
  • The x and y axes represent pixel coordinates, while the z-axis represents pixel intensity.

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How to Use

1. Run the script.
2. Click "Load Image" to select an image file.
3. Visualize the loaded image in both 2D and 3D.

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Future Enhancements

1. Pathfinding Algorithm

• Implement a pathfinding algorithm to avoid obstacles (e.g., walls) and dynamically update worker locations at regular intervals.

2. Neural Network (NN) for Worker Safety

• Develop a neural network to process gyroscopic data and determine if a worker is free-falling or stationary.
• Mark hazardous spots on the 3D map using NN insights.

3. Digital Twin Integration

• Leverage sensor data to update the 3D model in real time.
• Train a YOLO model to compare actual site conditions with the 3D visualization for more accurate updates.

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Notes

• This dashboard is still under construction.
• The pathfinding algorithm is currently in development.