Machine vision for consumer goods and packaging
At high production volumes, products and packaging have to be inspected quickly, reliably and reproducibly.
Machine vision enables automatic quality checks without slowing down the production process.
Print, label and packaging inspection are among the most common machine vision applications in this market.
Completeness checks
Cameras check, for example:
- Is the product complete?
- Are the accessories present?
- Is the piece count correct?
- Is the packaging closed?
- Is the right variant included?
Packaging inspection
The following can be inspected:
- damage
- contour
- closure
- seal
- shape
- position
- tightness with suitable methods
Label inspection
Automatic checks can cover:
- label present
- correct position
- correct content
- barcode readable
- DataMatrix readable
- print complete
OCR and OCV
Cameras read, for example:
- batch number
- serial number
- production date
- best-before date
- part number
OCV can additionally verify that the expected text is actually present.
Color and variant checks
Color cameras can distinguish between different:
- product variants
- packaging
- labels
- caps
- components
Surface inspection
Products and packaging can be inspected for:
- scratches
- dents
- print defects
- contamination
- damage
Sorting and classification
Cameras allow automatic classification by shape, color, size or product type.
Typical components
- area scan cameras
- line scan cameras
- color cameras
- smart cameras
- code readers
- OCR systems
- lenses
- diffuse lighting
- dome lighting
- backlights
- polarizing filters