Hyperspectral Imaging
Using spectroscopy to improve speed and reliability of decision making
The process of hyperspectral imaging, like other types of spectral imaging, involves collecting and analysing information that spans the electromagnetic spectrum.
Using hyperspectral imaging, you gain information about each pixel in an image of a scene, in order to locate objects, identify materials, or detect processes.
Utilise Hyperspectral Imaging For
Automated, accurate, and flexible hyperspectral machine vision has revolutionised inspection processes and decision making situations within the mining, farming, and medical industry.
No longer limited to the lab, hyperspectral imaging devices combines high-speed processing power with industry-leading hyperspectral imagery for rapid classification.
Headwall produces a range of hyperspectral imaging devices, with each one suited to a unique application.
Headwall Hyperspectral Imaging Applications
Mining & Exploration
Mine Mapping
Deposit Identification
Mineral Processing
Environmental Impact
Agriculture & Food Processing
Food Quality Inspection
Environmental Management
Plant Phenotyping
Remote Sensing
Other Hyperspectral Applications For Medical & Research
Disease Screening
Non-Invasive Diagnosis
Artwork Analysis
Historical Artefact Verification
Explore our range
Hyperspec MV.X
Hyperspec Nano
Hyperspec VNIR – SWIR Co-Aligned
Hypercore
Hyperspec SWIR
Hyperspec Inspector
Hyperspec Ext-VNIR
Hyperspec VNIR
Hyperspec NIR
About PAS
PAS is an accredited supplier of Headwall Hyperspec products. We provide expertise at every stage of the purchasing process, with training, compliance, factory guaranteed service and product support. While some hyperspectral devices are similar to others, PAS will provide expert advice to ensure the best instrument is chosen for your needs.
PAS offers sales advice for Headwall hyperspectral imaging devices.
For availability or further information please contact our rental team on +61 2 4381 2844 or send us an email at sales@portableas.com
Applications
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