Label inspection and date code verification on every pack
Industrial AI Vision checks that every pack carries the right label, in the right place, with a legible and correct date and batch code.
Updated October 2026 · 3D simulation, illustrativeIndustrial AI Vision, our vision inspection system, is a label inspection system for New Zealand production lines. Using AI machine vision, it checks every pack for the correct label for the product, label position and condition, a date, batch or lot code that is present, legible and correct for the run, and a readable barcode. Non-conforming packs are removed by your existing reject equipment, and every result is recorded with its image.
Wrong labels stopped
The wrong artwork, variant or allergen label caught before it reaches a customer.
Codes you can trust
Every date and batch code confirmed present, legible and correct for the run.
Image-backed records
A photo and result for every pack, ready for audits and customer queries.
Every label, code and mark on the pack
- 01
Label presence and position
- Label present
- Position and skew
- Wrinkles, tears and lifted edges
- 02
Right label for the product
- Artwork and variant match
- Allergen and ingredient panel
- Front and back label pairing
- 03
Date and batch codes
- Best-before and use-by dates
- Batch and lot codes
- Print quality and legibility
- 04
Barcodes and case labels
- Barcode readability
- QR and 2D codes
- Case and shipper labels
Date and batch codes read, checked and recorded
Optical character recognition reads each printed code and compares it with the code expected for the run.
- Present: on every pack, in the right place
- Legible: no smudged, faint or broken characters
- Correct: matches the date, batch and lot for the run
- Recorded: a photo of each code, kept with the run
- Label
- Correct variant
- Code read
- 21 APR 2027 · 26-301
- Expected for run
- 21 APR 2027 · 26-301
- Result
- Pass
The right label from the first pack of every run
- 01
Settings per product
Label artwork, variant, allergen panel and code format are stored for each product you run.
- 02
Leftover labels caught
A roll from the previous run or an old date code is flagged on the first packs, before a whole run is affected.
- 03
New products added
New labels are trained in the Industrial AI Vision Lab (VLab) and agreed with your quality team before production. How custom models are trained.
Allergen and wrong-pack checks
Undeclared allergens are the main reason for food recalls in Australia: 35 of the 92 recalls FSANZ coordinated in 2025. From 2021 to 2025, the most common cause of allergen recalls was a packaging error, such as product packed into the wrong packaging. FSANZ recall statistics.
- Allergen panel: the approved version, with its bold “Contains” statement
- Current artwork: old versions from before a recipe change are flagged
The vision system checks each pack against the approved artwork for the run. Whether the declaration matches the recipe stays with your quality team.
Integrated with your labelling line
Industrial AI Vision connects with your line’s control systems, reject equipment, operator displays and data platforms. How plant integration works.
- 01
Reject and divert
Mislabelled and miscoded packs are removed by the reject and divert equipment already on your line.
- 02
Operator alerts
Repeated faults, such as a coder running faint, are raised on your existing screens so the cause is fixed quickly.
- 03
Quality records
Results by line, shift, product and batch, with an image of every label and code for audits and customer queries.
Works alongside your coders and scanners
Inkjet, laser and thermal transfer coders and barcode scanners stay in place. The vision system adds the visual checks they can’t make, alongside any existing machine vision system. Computer vision vs machine vision.
Product-specific models
Each model is trained in the Vision Lab on your labels and codes. For caps, seals and cartons, see packaging inspection; for food lines, food and beverage inspection; for finished pallets, pallet and dispatch verification.
Frequently asked questions
How does the system know which label should be on the pack?
Can it read date and batch codes?
Does it replace our coder or barcode scanners?
Will it work with our existing reject system?
Do we need new cameras?
How is the system trained on our labels?
Read more about label and code inspection
Talk to us about label and code inspection
Tell us about your products, labels and codes, and we’ll show you what Industrial AI Vision would check.