Hyperspectral Machine Vision

Automated sorting and quality control

Real Time Intelligence

Resonon's machine vision systems combine hyperspectral imaging with advanced machine learning algorithms to detect small differences in similarly colored materials.

These differences are often not detectable with conventional imaging. This enables automated sorting, quality control, and labeling of food, raw materials, and finished goods that is only possible using hyperspectral imaging.

Our vision software analyzes hyperspectral information in real time and provides commands to downstream robots, air jets, or other devices.

Machine Vision System Components

Hyperspectral imaging camera
Real-time hyperspectral vision software
Touch screen interface
Stabilized Lighting
Integration and training services
System documentation
Expert support

Hyperspectral Camera Options

Spectral cameras are useful for solving problems when traditional imaging is not adequate, such as identifying small differences in color, or different material compositions.

Resnon offers hyperspectral cameras with a variety of spectral ranges, spatial resolutions, and maximum speeds. Resonon's hyperspectral cameras scan wavelengths from the near-ultraviolet (NUV), through the visible (VIS), to the short-wave infrared (SWIR).

Our team will help you identify the hyperspectral camera that best meet your needs. Please contact us for further information.

Pika L

Spectral Range (nm)

400 - 1000

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Pika XC2

Spectral Range (nm)

400 - 1000

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Pika NIR-320

Spectral Range (nm)

900 - 1700

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Pika NIR-640

Spectral Range (nm)

900 - 1700

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Application Example: Identifying Finished Goods

A major manufacturer of laminates uses Resonon machine vision systems at multiple facilities to identify over 30,000 products daily from a library of several thousand.

The image shows two nearly-identical products that are accurately differentiated using Resonon machine vision.

More information
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