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     Spectral Camera produces the image of the target at tens or hundreds of wavelengths simultaneously.
     Spectral Camera is an integrated combination of ImSpector imaging spectrograph and a matrix camera forming a spectral imaging device in one compact package, which suits both industrial and scientific applications.
     Compared to conventional filter based imaging systems,Spectral Cameras provide high spectral and spatialresolution, flexible wavelength selections in software, and broad spectral coverage.

Feature
  • Wavelength ranges between 200-2500 nm
  • Spectral resolution between 1.5-15.0 nm
  • Input through C-mount objective lens or multi-channel fiber optics
  • Cased or OEM (without the outer casing) versions
  • Longer spatial image width
  • High resolution (small spot size)
  • Smile and keystone distortions in sub pixel level
  • High throughput with telecentric optics
  • Optional shutter
Specification
Model No. Spectral camera QE Spectral Camera UV
Feature Scientific model Models are suitable for industrial and scientific use
Electrical characteristics
Sensor CCD CCD
Pixels in full frame 1344(spatial) x 1024(spectral) 1000(spatial) x 1000(spectral)
Interface Firewire(IEEE1394), 12 bits Camera Link, 12 bits
Frame rate 8 fps
Up to 43 fps with binning
33 fps
Up to 150 fps with binning
Dynamic range 65 dB (1800:1) 59 dB (920:1)
Optical characteristics
Imaging spectrograph options V8, V8E (380-780nm)
V10, V10E (400-1000nm)
UV4E (200 ~ 400nm)
Fore lens options OL8, OL12, OL17, OL23, OL35, OLE17, OLE23  
For other optical characteristics, see the corresponding ImSpector imaging spectrograph data.
Mechanical and environmental characteristics
Size, cased (L x W x H) - -
Size, OEM (L x W x H) 200 x 51 x 58mm with V8/ V10
320 x 65 x 80mm with V8E/V10E
245 x 90 x 100 mm
User adjustments None
Lens mount C-mount
Operating temperature 5 ~ 40 °C, non-condensing 5 ~ 40 °C, non-condensing
Software
  Spectral Cube
Specification
Model No. Spectral Camera NIR Spectral camera SWIR
Feature Models are suitable for industrial and scientific use
Electrical characteristics
Sensor InGaAs MCT
Pixels in full frame 320(spatial) x 256(spectral) 320(spatial) x 256(spectral)
Interface USB 2.0, 12 bits 14 bits, PCI grabber included
Frame rate 30 fps Up to 100 fps
Dynamic range 60 dB (1000:1) 68 dB (2400:1)
Optical characteristics
Imaging spectrograph options N17B, N17E (900 ~ 1700nm) N24E (1000 ~ 2400nm)
Fore lens options OLES22, OLES30, OLES56 OLES22, OLES30, OLES56
For other optical characteristics, see the corresponding ImSpector imaging spectrograph data.
Mechanical and environmental characteristics
Size, cased (L x W x H) - -
Size, OEM (L x W x H) 235 x 100 x 108 mm with N17B
320 x 100 x 115 mm with N17E
558 x 191 x 205 mm with N24E
User adjustments None None
Lens mount Standard C-mount Standard C-mount
Operating temperature 5 ~ 40 °C, non-condensing 5 ~ 40 °C, non-condensing
Software
  Spectral Cube Spectral Cube
Application
     Spectral machine vision systems for online precise color sorting and quality monitoring (in manufacturing lines)
  • Timber and wood product classification based on knots, Pitch stripes, blue stain, etc.
  • Ceramic tile and other decorative stones in construction applications
  • Glass or plastic bottle sorting
  • Textile dyeing
  • Printing control
  • Inspection of color matching in car parts, parts for telecom products, cosmetics
     Spectral scanners for use in laboratory and at line
  • Color printout testing
  • Inspection of production samples
  • Forensic samples
     Spectral imaging systems for light source and display testing
  • Inspection and sorting of LEDs, LDs and lamps based on spectral emission
  • Fast test scanning of LCD and other displays
     Spectral measuring systems for biomedical applications
  • Blood or other body fluid analysis
  • Analyzing multiple sample cells simultaneously
  • Fast checking of test pad charts (e.g. blood test pads)
     Spectral microscope systems
  • Forensic sample investigation
  • Biomedical sample analysis
     Scientific and research applications
  • Scanning old work of art
  • 2D temperature distribution
  • Spectral flame analysis
  • Precision farming
     NIR spectral imaging systems
  • Distribution determination of chemical constituents, like moisture, oil, varnish
  • Sorting of vegetables and fruits based on spectral features related to color and ripeness
  • Sorting and removal of foreign materials, like polymers from natural materials