Hyperspec VNIR-SWIR Starter Kit0 pages

Data Sheet
Hyperspec® Starter Kit
For VNIR/NIR/SWIR Imaging

Headwall’s Starter Kits provide a simple and rapid means of collecting
hyperspectral images that can be used for reflective spectroscopic analysis in the VNIR-SWIR spectral ranges. Gantry, linear stage, reflectance
reference standard, and illumination represent the basic elements of
the Starter Kit. Two versions of the Starter Kit are available, standard
and large-format. The large-format Starter Kit features a wider translation stage with longer travel and can accomodate two sensors capable
of working at different spectral ranges (one VNIR
and one SWIR, for example). Headwall’s fully
reflective, patented spectrometer design eliminates image aberrations while offering high resolution with a wide field of view. This represents
a major advantage where spectral and spatial
imaging performance are critical success factors.
Standard UV-VIS

Large-format (VNIR/SWIR)

High Quantum-Efficiency (QE) detection electronics and 100% fill-factor mean high signal-tonoise characteristics for maximized sensitivity
and dynamic range. Depending on the sensor
chosen, a design-optimized objective lens provides excellent chromatic compensation and imaging results over the VNIR, NIR or SWIR spectral
ranges. High intensity QTH Illumination provided
on the VNIR/NIR/SWIR Starter Kit is optimized for
wavelengths between 380-2500nm. Starter Kits
designed for UV-VIS use a combination of QTH
and pulsed Xenon illumination.

Headwall’s Hyperspectral Data Processing Unit (HDPU) and Hyperspec
III software are options that can be added to any Starter Kit. The HDPU
contains a high-speed processor and high-capacity solid-state storage
to deliver extremely fast capture, transfer and processing of the hyperspectral image data. Depending on the sensor, either USB 2.0 or CameraLink connectivity can be used; the HDPU contains ports for both.
Hyperspec® III software allows the user to analyze the data more effectively and efficiently than any other comparable platform.

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