Packaging inspection uses cameras on the filling and packing line to check every unit: the right label, placed straight and undamaged, a cap that is present and seated, a container filled to the right level and a pack properly sealed. Faulty units are rejected before they reach a carton.
Packaging inspection is the automated check that each finished unit looks exactly as it should before it ships. It covers the label, the closure, the contents and the pack itself.
Its most important job is catching mix-ups: the wrong label on the right product. A pattern check against the approved artwork, often combined with reading the barcode, makes that mistake impossible to ship.
A sensor triggers the camera as each container or pack passes.
One or more cameras, sometimes with mirrors, capture the label, cap or seal. Some checks use backlight to see the fill level through the container.
The label is matched to the approved artwork, positions and heights are measured, and the fill line is located.
Failures are pushed or blown off the line into a locked reject bin.
Faults are counted by type so the labeller, capper or filler causing them can be adjusted.
Compares the label with the approved artwork to confirm the right design and version is applied.
Light shone through a translucent container reveals the liquid line, which is measured against the target level.
Several cameras around a round container see the whole label, wherever it is facing.
Measures cap height and tilt, and checks heat seals on pouches and blisters for wrinkles, gaps and contamination.
Two example project scopes showing how the station, the checks and the outputs are defined. Every plant is different, so the final configuration is confirmed after a feasibility study on your own parts.
The situation: A beverage bottler receives complaints about loose caps and occasional underfilled bottles.
The situation: A pouch packer sees leaking packs in the market that passed a visual check.
Industrial cameras, lenses, line-scan cameras and code readers are available through our machine vision catalog, quoted with delivery to Sri Lanka. We select the hardware for your application during the feasibility study.
Browse the hardware catalogEvery product, surface and line behaves differently under a camera, so every project starts with evidence from your own material.
A site visit to understand your product, line speed, quality criteria and where the check should sit.
We image your good and defective samples and show what the system can reliably detect. This is the go or no-go.
One station on one line, running beside your inspectors until results match and your team trusts them.
More lines, integration with your PLC and systems, and local support from our Sri Lankan engineering team.
Industrial code reading and traceability: read and grade barcodes, QR and Data Matrix codes to ISO/IEC 15415 and 15416, verify printed date and lot codes with OCR, and reject every unreadable or wrong code.
Optical sorting and grading for tea, spices, coconut, nuts, grains and fresh produce. Colour, NIR and hyperspectral vision remove stalks, foreign matter and defective product, and grade by colour and size.
Sort fabric rolls, cut panels and washed garments into buyer shade bands with CIELAB measurement and 555 codes.
Every machine vision application we design and build, in one place.
Yes. The system compares each label with the approved artwork for the current job and can also read the barcode, so a label from the wrong reel is rejected immediately.
For translucent containers, a backlight shines through the bottle and the camera measures where the liquid line sits. For opaque containers, other methods such as weighing or X-ray are used, and we can advise on which fits.
No. Inspection happens in milliseconds as each unit passes, and faulty units are removed without stopping the line.
Yes. Several cameras, or a camera with mirrors, capture the full circumference so the label is checked wherever it ends up facing.
They go into a locked reject bin so they cannot be put back on the line by mistake, and each one has a saved image showing why it failed.
Tell us what you need to check and share some good and faulty samples. We will show you what a camera can reliably see before you commit to anything.
Photographs show representative plants and equipment, not Cerox installations or client sites. Diagrams by Cerox Engineering. Photo credits, via Wikimedia Commons: Bottling line by ChristianBier, CC BY-SA 3.0; Bottles on a filling line by Elisandra Leite, CC BY-SA 3.0.