Hyperspectral Imaging Solutions
Hyperspectral Machine Vision
See The Invisible
Real Time Intelligence
Seamless integration to your system
Resonon's hyperspectral vision systems combine hyperspectral imaging with advanced machine learning algorithms to detect small color differences that are invisible to the human eye.
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.
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. Data can also be stored across lines and sites for quality control and process monitoring.
Resonon's machine vision systems can support mulitple lines and multiple facilities. Training sets obtained on one line can be used on other lines and facilities. Data can be stored in a central database server for remote access through a web-based reporting framework.
Automated white balancing and lighting control are available, along with integration into the customers PLC's and encoders.
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.
Spectral Range (nm)
400 - 1000
Spectral Range (nm)
400 - 1000
Spectral Range (nm)
900 - 1700
Spectral Range (nm)
900 - 1700
Application Example: Cooked Food
Subtle color changes associated with food quality can readily be identified using hyperspectral imaging.
The image of chicken nuggets shows the classification: missing breading (red), crispy (green), and appropriately-cooked (blue).
The image of chicken nuggets shows the classification: missing breading (red), crispy (green), and appropriately-cooked (blue).
Hyperspectral Classification of ChickenContact Us
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High-precision hyperspectral imaging systems for research and industrial applications.
Contact
Resonon Inc.123 Commercial Drive
Bozeman, MT 59715 USA
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