Hyperspectral Applications

See the unseen

Applications

Resonon's hyperspectral imaging systems are deployed worldwide in laboratories, manufacturing facilities and airborne applications. Hyperspectral imaging can be used for industrial sorting, precision agriculture, security and defense, scientific research, quality control, and more.

Remote SensingPrecision AgricultureBiotechnologyFood AnalysisMachine Vision

Remote Sensing

Resonon hyperspectral imaging cameras are used in air, space, and underwater vehicles to capture detailed spectral data for a wide range of uses.

Application Example

NASA ARCSTONE

Resonon has partnered with NASA on the ARCSTONE project to design and build custom hyperspectral instruments for lunar reflectance calibration. Currently preparing for ground test, ARCSTONE will eventually enable the Moon to be used as an accurate calibration source for earth-viewing satellite instruments.

Details can be found here.

Application Example

NOAA

NOAA GLERL and the University of Michigan's Cooperative Institute for Great Lakes Research fly weekly airborne campaigns with a Resonon hyperspectral imaging system to track and understand the spread of harmful algal blooms in western Lake Erie.

View the true-color imagery data archives here.

Precision Agriculture

Hyperspectral imaging enables identification of weeds, monitoring of plant health, and evaluation of ripeness.

Application Example

Invasive Weed Mapping

A Resonon airborne hyperspectral imaging system was used to identify and locate an invasive weed infestation.

Published in: S.C. Jay, R.L. Lawrence, K.S. Repasky, and L.J. Rew, Geoscience and Remote Sensing Symposium (IGARSS) 4374 (2010).

Application Example

Ladybird Agriculture Robot

The Ladybird precision agriculture robot, developed at the University of Sydney, uses a Resonon hyperspectral imaging camera, in addition to other sensors, to autonomously map, classify, and detect problems in vegetable crops.

Click here for more information.

Biotechnology

Hyperspectral imaging is used for a wide-range of biological and medical applications.

Application Example

Seed Viability

Viable and non-viable Corymbia seeds that appear identical to the human eye can be clearly distinguished using hyperspectral data.

Published in: C. Nansen, G. Zhao, N. Dakin, C Zhao, and S.R. Turner, J. Photochem. and Photobio. B 145 19 (2015).

Application Example

Wound Healing

Scientists from NIST and The Ohio State University used a Resonon hyperspectral imaging camera to characterize wounds.

Published in: Xu, Ronald X et al. “Developing digital tissue phantoms for hyperspectral imaging of ischemic wounds” Biomedical optics express (2012).

Food Analysis

Resonon's hyperspectral imaging systems are used in food research and industry to identify defects, characterize product quality, and locate contaminants.

Application Example

Nut Sorting

Hyperspectral imaging enables robotic sorting of nuts from shells and other foreign material, a job traditionally accomplished via manual sorting.

The image of walnuts shows the classification of the walnut meat (green) and shell (orange) components.

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).

Machine Vision

Resonon's hyperspectral machine vision systems detect small differences in similarly colored materials that cannot be distinguished with conventional imaging technologies.

Application Example

Pharmaceuticals

Hyperspectral infrared imagers can identify counterfeits, find defects, and eliminate prescription errors.

The image shows three types of white pills, indistinguishable by color to the human eye, but accurately classified via Resonon near-infrared hyperspectral machine vision.

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.