CodeNgrave: Laser Engraving Workflow

1. Frontend: User Uploads an Image

• Action: The user uploads an image for engraving.
• Output: The image is sent to the backend (or Lambda function) for processing.

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2. AWS Lambda: Process Image and Generate Tool Paths

• Preprocess Image:

  • Resize the image to match the CNC workspace dimensions.
  • Convert the image to grayscale (to prepare it for binary conversion).

• Convert to Binary (Black and White):

  • The grayscale image is converted to binary (black and white).
    • Black pixels: Represent engraving areas where the laser should be activated.
    • White pixels: Represent non-engraving areas where the laser should be turned off.

• Generate Laser Tool Paths:

  • Scan the binary image pixel-by-pixel:
    • Black pixels: The laser is turned on for engraving (set power/intensity to the appropriate level).
    • White pixels: The laser is turned off (tool stays idle).
  • The laser will follow these tool paths in X, Y directions, moving across the surface to engrave.

• Create G-code:

  • Compile the tool paths into G-code with laser-specific instructions (like turning the laser on/off for black/white pixels).
  • Optionally, finalize with commands to lift the laser after engraving to ensure safety and readiness for the next engraving.

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3. Backend (Node.js Server): Save G-code and Logs

• Save G-code:

  • The backend stores the generated G-code (received from Lambda) in a file system or database.

• Save Logs:

  • The backend logs metadata (e.g., user ID, image processing details, timestamp).

• Provide G-code for Download:

  • The frontend provides a link to the user for downloading the generated G-code file.

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