Illuminate
Use backlight, transmitted, reflected or wavelength-selected lighting to reveal the critical boundary.
Machine vision quality control
Use controlled lighting and industrial cameras to verify visible fill boundaries and combine level, cap, label, colour, shape, code and presence checks at production speed.
Direct answer
Machine vision is suitable when the fill boundary or product feature can be made consistently visible to a camera. A controlled light source creates contrast, the image is captured at the correct time, and software compares the measured feature with the active recipe limits.
The camera must see the product reliably through the pack or opening. Reflections, coloured material, labels, embossing, foam and ambient light are handled through the optical design and inspection logic. When there is no dependable optical path, X-ray or another sensing principle should be assessed.
What the system must do
Stable inspection comes from controlling presentation, illumination, trigger timing, recipe selection and the response to a failed result.
Use backlight, transmitted, reflected or wavelength-selected lighting to reveal the critical boundary.
Locate the fill, foam, closure, label, colour, code, shape or presence feature within a controlled region.
Apply validated limits, track the pack and send a clear pass, reject or fault response to the line.

Specify the application
One station can inspect several features when the views, resolution, cycle time and defect tolerances work together.
Typical applications
Suitability and tolerances are established from representative samples, production speed and the real operating environment.
Practical answers
Final performance is application-specific and is confirmed using representative packs, products and line conditions.
Ask an engineerYes, if the exposure, trigger, lighting and pack presentation freeze the feature clearly enough. Line speed and product movement are tested with representative samples before final tolerances are agreed.
Sometimes. The features must both be visible at sufficient resolution from a suitable view. Complex packs may need more than one camera or inspection position.
No. AI or machine-learning tools may help with variable visual defects, but reliable inspection still depends on suitable optics, lighting, presentation, representative data and validated decision limits.
If the product cannot be seen reliably through the pack, an optical camera is unlikely to be the best fill-level method. X-ray or another sensor can be assessed against the product density, pack material and required result.
Talk to Oxford Vision Systems