‍​Hyperspectral cameras

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Modern manufacturing requires increasingly precise quality control. Standard vision systems analyze a product's appearance, yet many defects remain invisible to the human eye and classic RGB cameras.
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The solution is hyperspectral imaging , a technology that allows for the analysis of materials based on their unique "spectral signature."
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How do hyperspectral cameras work?
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Unlike traditional cameras that record three RGB color channels, hyperspectral cameras analyze images across many wavelength ranges. This makes it possible to detect differences that are not visible in a standard image—even when two objects look identical.
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Every material interacts with electromagnetic radiation in a different way—absorbing some wavelengths while reflecting or transmitting others.

The result is a unique spectral signature. This is a characteristic pattern of reflection, absorption, or emission of electromagnetic radiation by a given material, depending on the wavelength.
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In practice, hyperspectral imaging involves several stages:
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1. The camera captures light reflected from the object being examined.
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2. The light is separated into multiple wavelengths and recorded as a hyperspectral cube.
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3. The data is analyzed to identify materials and determine their properties.

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What does this technology enable?

Hyperspectral cameras allow for the detection of, among other things:
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●      differences in material composition,

●      defective coatings and layers,

●      contaminants,

●      surface irregularities,

●      defects invisible to the naked eye.

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Our role

We use hyperspectral cameras as part of our advanced quality control systems.

We create complete solutions including:
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- selection of imaging technology,
- dedicated lighting,
- data analysis and AI algorithms,
- integration with the production line,
- inspection results reporting.
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Each system is designed individually and tailored to the requirements of a specific production process.

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