Machine vision and hyperspectral imaging: quality control without touching the product
With hyperspectral cameras and data analysis we check the quality and composition of your food products, and detect defects the eye can’t see, with no manual intervention.
- What we measure
- Quality and composition of each product
- With what
- Hyperspectral cameras
- How it is analysed
- Data analysis and machine learning
- What for
- Detect defects and reduce waste
Hyperspectral machine vision captures the quality and composition of each product with hyperspectral cameras. Analysing that data with machine learning detects defects that can’t be seen with the naked eye. All without touching the product and with no manual intervention. It is for the food industry that wants complete, accurate quality control.
From the camera to quality control, in four steps
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Step 1
We capture the product image
Hyperspectral cameras record each product without touching it.
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Step 2
We read its quality and composition
The hyperspectral image collects information about the food that the eye can’t see.
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Step 3
We analyse the data
With machine learning, the analysis recognises each product’s defects.
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Step 4
You control quality without manual checks
Inspection is complete and accurate, and does not depend on manual intervention.
What hyperspectral imaging sees in your product
This is the data the camera provides. In the assessment we see which of it matters for your product.
Quality
The condition of each product, checked with the same criteria.
Composition
What the food contains, beyond how it looks.
Defects
Those that can’t be seen with the naked eye.
A complete check, without touching the product
What changes in your quality control.
Complete and accurate
Every product passes the camera, with no manual intervention.
Less product lost
Seeing the defect the eye can’t see helps reduce waste.
More control over what leaves the plant
Hyperspectral imaging is one more tool for safeguarding food safety.
Hyperspectral vision in the food industry
Hyperspectral vision, in a nutshell
If your question isn’t here, ask us during the assessment.
What does hyperspectral imaging detect?
The quality and composition of each food product, and the defects that can’t be seen with the naked eye.
Does the product have to be touched or checked by hand?
No. The cameras capture the product without touching it and the analysis is done with no manual intervention.
What role does machine learning play?
It analyses the data from the cameras to recognise each product’s defects.