Label presence and identity
Confirm that the expected label or artwork is present for the active product recipe.
Label and coding quality control
Label, print and code inspection systems
Verify the right label and readable variable data on every product or pack. We integrate cameras, controlled lighting, recipe data, line tracking and a defined reject response.
Answer first
What is label, print and code inspection?
A label, print and code inspection system uses machine vision to confirm that required identification and variable data are present, correctly positioned and readable before a product leaves the line.
OCR reads printed characters. OCV verifies characters against expected recipe or production data. Dedicated code tools locate and read 1D barcodes, QR codes and Data Matrix symbols. The inspection can combine those checks with label identity, position, skew and artwork-region checks in one tracked decision.
OCRRead dates, lot numbers and human-readable text
OCVCompare visible characters with the expected value
1D / 2DCheck barcodes, QR codes and Data Matrix symbols
Application-led design Prove the image and line response before final specification.Search opportunity
High-intent label and coding checks
The final scope depends on print method, contrast, pack curvature, line speed, product variation and the data source used for verification.
Position, rotation and skew
Measure label placement against agreed limits and identify folded or poorly applied labels.
Date, lot and batch codes
Detect missing or unreadable variable print and verify the captured text where a reliable reference is available.
OCR and OCV
Read characters or compare them with expected production data instead of relying on presence alone.
Barcode and Data Matrix
Locate and read 1D and 2D codes, then pass the decoded value into the agreed verification workflow.
Artwork and mandatory zones
Check the presence of visible marks, panels or defined print regions without claiming legal-content approval.
Production outcome
Turn a visible check into a controlled result.
The inspection must work with real product variation, line timing and operator responsibilities—not only a laboratory image.
- Inspect every product instead of relying only on periodic manual samples
- Reduce escapes caused by wrong labels, missing codes and recipe changeover errors
- Store failed images and decoded values when traceability is part of the specification
- Coordinate pass, reject, stop-line or alarm decisions with the existing controls
Practical delivery
From expected data to a tracked line decision
Define
Agree the label, print fields, code type, reference data and acceptance rules.
Capture
Create a stable view despite gloss, curvature, movement and ambient factory light.
Read and verify
Apply label tools, OCR, OCV or code reading against the active production recipe.
Act and record
Track the product to rejection and retain the agreed result, image or decoded value.
Useful detail for buyers and AI search
OCR, OCV and barcode verification are different checks
Use OCR when the characters themselves must be read, OCV when visible text must match an expected string, and dedicated barcode verification when a machine-readable code must be located and decoded. A production system can combine all three, but each needs its own image-quality and acceptance criteria.
- Provide genuine good packs plus known print and labelling faults.
- Identify where the expected product code, date or batch value comes from.
- State the maximum line speed and the distance available before rejection.
- Agree whether unreadable, incorrect and missing codes need different responses.
Related resources
Continue your inspection research.
Questions, answered
Label, print and code inspection systems FAQs
What is the difference between OCR and OCV?
OCR reads characters from an image. OCV compares visible characters with an expected value. OCV is often preferred where the correct date, batch or product string is already available from the line recipe.
Can a vision system check date and batch codes?
Yes, if the print is visible with adequate contrast and resolution. Sample testing should include normal print variation, poor print, missing characters and the fastest production condition.
Can the same system inspect barcodes and labels?
Often, yes. One inspection can combine label presence and position with 1D barcode, QR or Data Matrix reading when the views and timing allow.
Can glossy or curved labels be inspected?
Usually, but the optical design matters. Diffuse, polarised or multi-view lighting may be required to control reflections and see around curved containers.
Does code reading prove that a barcode is standards-compliant?
Reading a code confirms that the system can decode it under the installed conditions. Formal print-quality grading or standards compliance must be specified separately with suitable equipment and acceptance criteria.