Pastry boxes on a conveyor with one box carrying a different label, outlined in yellow and labeled Label Mismatch

Use cases

How do food plants verify the label on every pack?

A camera after labeling reads the label on every pack, and Video-to-Action AI checks the label revision, barcode, QR code and readability. When a label does not match, the pack is rejected or the line is stopped, and each case is saved as an image.

Food & Beverages

Quality Assurance

What it checks

On a food packing line, Video-to-Action AI reads the label on each pack and checks:

The label revision, so the label matches the product running
The barcode, present and readable
The QR code, present and readable
Readability of the printed label

Why manual checks miss it

Label errors are rare, which makes them easy to miss: an inspector checking thousands of identical packs stops seeing the one that is different. Changeovers are the riskiest moment, when labels from the last run are still in the machine. A wrong or unreadable label can turn into a complaint, a retailer rejection or a recall.

How it acts

VITA, Maneva's quality and downtime agent, reads every label in real time, at line speeds of up to hundreds of packs a minute. When a label does not match, the pack is rejected or the line is stopped, depending on how your line is set up, and each case is saved as an image.

If label errors start repeating, for example right after a changeover, the line team sees it in minutes rather than at the end of the shift.

Where it sits on the line

The camera sits after labeling, facing the side of the pack where the label is applied. Some lines can start with cameras they already have; many need at least one off-the-shelf camera placed for the task. Maneva helps choose the camera and where it goes.

Result

Every pack is checked instead of a sample, so label errors are caught in the plant rather than by a retailer or a customer. That is where a single defect costs the least. See what one defect costs.

See it on a line like yours →

More for food and beverage plants: AI for food and beverage lines →

Frequently Asked Questions

Didn't find what you need? Our team will walk you through Video-to-Action AI and show how it fits your production environment.

Can it check that the right label is on the right product?

Yes. It checks the label revision against the product running, so a label left over from the last run is caught.

Does it read barcodes and QR codes?

Yes. It checks that each barcode and QR code is present and readable, along with the label revision and print quality.

Do we need new cameras?

It depends on your site and the problem you want to solve. Some customers can start with the cameras they already have. Many need at least one new off-the-shelf camera placed and set up for the task, so the AI sees exactly what it needs to see.

Maneva helps you scope this from the start. We look at your line, the result you want, and what the camera needs to capture, then recommend the right camera and where to put it.

Maneva is hardware agnostic and connects to a wide range of camera types, including:

Standard RGB and security cameras for many quality, downtime, safety and efficiency use cases
3D and depth cameras for measuring volume, position and dimensions
Thermal and infrared cameras for heat signatures and low-light areas
Short-wavelength infrared (SWIR) cameras, which see through plastic to check seal integrity
High-resolution precision cameras for defects under a millimeter across large surfaces

If you can see it in the video, our AI can understand it and act on it. Start with one line, and we'll help you choose the setup that gets you there.