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Finding Razor Head Defects (razor)

Aim

Develop an application that finds two types of product defects:

  • Check if both razor arms are not broken,
  • Check if smaller arms are not connected.

Show the inspection results on the HMI.

Input

Images of razor heads with defects. Objects are lit using backlight. Example defects are marked in red.

Images are stored in razor directory.

Output

Application should show proper information if any of the defects were identified. Design simple HMI which shows the result of each inspection.

Hints

This exercise presents one of the typical vision problems. This task uses common algorithm schema:

  • Find element using Template Matching technique,
  • Check defects presence using high-level tools.

Solution (FIS)

  1. Load images from the directory using EnumerateImages filter.

  2. Add LocateSingleObject_Edges filter and connect to it an output of EnumerateImages filter.

  3. Create template model using Model Definition Window. The model is shown in the image below:

  4. Add the CheckPresence_PixelAmount filter to check if the distance between inner arms is filled with white pixels.

    This filter checks if a white color covers more than 40% of the selected ROI.

  5. Add two other CheckPresence_PixelAmount filters to check presence of arms.

  6. Connect outObject.Alignment with the input inRoiAlignment of each CheckPresence_PixelAmount filter. Thanks to this even if object moves or rotates, the alignment will automatically set correct ROIs in the right places.

  7. Open the HMI panel and add ImageBox and connect it with the output of EnumerateImages.

  8. Add three PassFailIndicator and connect them with outIsPresent outputs of the CheckPresence_PixelAmount filter.

  9. Add Label with "Razor inspection" text.

Macrofilter Main finds razor defects using Template Matching and technique.

Further Readings