A product labelling error —a wrong label, a badly printed batch, a swapped reference— can end in a product recall and a legal problem. Labelling control with machine vision prevents those errors by inspecting every pack in-line. Let’s see how.
Why labels fail
Labelling errors usually come from badly executed format changes, mixed references, missing or crooked labels, and illegible or incorrect coding (batch/expiry). In regulated sectors, a label error is critical. Standards such as GS1 define how coding must be to guarantee traceability.
Labelling control with machine vision
Machine vision verifies, unit by unit, that the label is present, well positioned, the right reference and carries the correct, legible coding. Any mislabelled pack is rejected automatically before it continues.
Preventing errors in labelling
Beyond detecting, the goal is to prevent: verify the format change at startup, compare against the approved master and block the line if the reference doesn’t match. This avoids producing thousands of mislabelled units. It’s the basis of the 360° label inspector.
Benefits
Fewer recalls and complaints, regulatory compliance, brand protection and traceability of every check.
At AIS Vision Systems we prevent labelling errors with the AIS REV 360 and our verification solutions. Tell us about your labelling process.