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Hyperspectral Camera
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Product Code: ATH2500
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ATH2500 features handheld imaging imager with optimized new design. It’s compact size and light weight, one hand to held to operate Android system, hand touch screen, built-in big memory fit for high quality images combined high spatial resolution, spectral resolution, and wide range.

ATH2500 consists of two parts of hyperspectral camera and lens.
ATH-4-10 uses 1920*1200 pixels excellent CCD imager with clear images, low noise, good linearity.

ATH 2500 designed stable temperature optical bench can ensure stability and sensitivity. They are widely applied to lab, field, industries in the agriculture, forestry, satallite, and remote sensing etc.

Detector
Type High Sensitivity VNIR detector
Webpetsupply Optical Parameters
Spectral Range 400 ~ 1000 nm
FOV 15.2°@f=35mm,Depending on the lens
Spatial Channels 1920*1200
Spectral Channels 500
IFOV 0.7mrad@f=35mm,Depending on the lens
Frame Rate 162 fps
Image Resolution 1920*1200
Raw Pixels Size 5.86 µm × 5.86 µm
Bit Depth 14 bits
Scanning Type Full-frame imaging
Webpetsupply Electrical Parameters
Operation system Android 8.0
Battery life span >4H,Battery replaceable
Operating Temp. -20 ~ 50°C
Interface USB2.0、WIFI、Bluetooth
Storage System 32GB(Standard)、64GB、128GB、256GB Optional
Touch Panel 5 -inch , capacitive touch screen(1280×720)
Physical interfaces USB, Memory Cards,Tripods, Lanyards
Buttons Power button,Detection of key
Webpetsupply Physical Parameters
IP level IP54
Dimension 132mm ×99mm × 65mm
Weight 920g

      • Range: 400 ~ 1000 nm
      • Snapshot Imaging
      • Max. Spatial Res.: 2048×1088
      • Android System
      • 5.0 Inch HD touch screen
      • Super Imaging Quality
      • Data format compatible ENVI
      • Size: 132mm ×99mm × 65mm
      • Weight: 920g

        • Prospecting for geology and minerals
        • Agriculture Monitoring: Crop condition and yield assessment
        • Forest pest and fire prevention monitoring
        • Coastline and ocean monitoring
        • Pasture monitoring
        • Lake and watershed monitoring
        • Remote sensing teaching and research
        • Water quality and soil monitoring
        • Industrial sorting
        • Ecological environment protection and mine monitoring

        What is Hyperspectral Imaging Camera?

        Hyperspectral imaging Camera, or imaging spectroscopy, combines the functions of imaging camera and spectroscopy. A hyperspectral camera acquires the spectrum for each pixel in an image of the scenes.

         

        What does Hyperspectral Imaging Camera used for?

        Hyperspectral Imaging Camera are used for applications in astronomy, agriculture, molecular biology, biomedical imaging, geosciences, physics, environment,and monitoring. Hyperspectral imaging camera takes pictures of objects spectrum with unique 'fingerprints', it enable identification of the materials. Like spectral fingerprint of oil helps geologists locate new oil fields.

         

        What does Hyperspectral Imaging Camera tell you?

        The hyperspectral imaging provides much more color information in details than a normal camera,which leads to differentiate from objects in the scene. Hyperspectral imaging is used to find objects, identify materials, or detect processes.  

         

        How much does Hyperspectral Imaging Camera cost?

        WEBPETSUPPLY manufactures hyperspectral imaging camera 400-1000nm prices range USD45,000~49,800.

         

        How to choose a Hyperspectral Imaging Camera?

        Compare FOV,spatial dimensions, weight,optical performance,size, and cost etc.

         

        Where to buy Hyperspectral Imaging Camera?

        Buy from local distributor of WEBPETSUPPLY,online shopping or inquire us.

         

        Why Chosse Webpetsupply Hyperspectral Imaging Camera?

        1.Webpetsupply F2.4, FOV is larger than that of competitors

        2.Spatial dimension 14mm

        3.Lightweight 1500 g, 950g, 650g

        4.High optical performance

        5.Compact size:300x70 x70mm;300x60x60mm;270x50x50mm

        6.Low cost

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