LUMIDAR SWIR image sensor
  • Innovative organic semiconducor technology

  • Compatible with existing machine vision systems

  • Wide spectral imaging in multiple scenes

  • Cost optimization

  • Product Overview
    LUMIDAR-SW is an image sensor used in industrial vision cameras, which can provide clear imaging in the visible light and SWIR 0.3-1.7 μm wide band. Compared to conventional InGaAs solution, LUMIDAR-SW is equipped with the innovative LumidarIR™ Technology, High cost-effective SWIR imaging solution with wide spectral response achieved through disruptive organic semiconductor design processes.
    Features

    Generally, visible refers to the part of the spectrum that can be seen by human eye, with a wavelength of about 0.4-0.78 μm, yet there is more information hidden from human sight. Short-wave infrared (SWIR) is close to visible, and the wavelength range is generally between 0.9-2.5 μm, LUMIDAR_SW is used for imaging in this wavelength range, and compared with visible image sensors, it has the characteristics of wide spectrum clear imaging, high penetration, moisture/material identification, and temperature sensing etc.


    Parameters
    P/N
    LUMIDAR_SW640A LUMIDAR_SW1280A*
    Number of effective pixels 640×512 1280×1024
    Unit cell size 15 μm 7.5 μm
    Spectral response 0.3 μm-1.7 μm
    Quantum efficiency 60
    Detection rate > 1011 Jones
    Output noise 40 e-(HG)
    Dark current 10 fA
    Operability > 99.5%
    Non-uniformity < 5%
    Integral mode Snapshot
    Output interface CDS, ITR, IWR
    Frame rate (Max.) 180 HZ
    Maximum output voltage 1.8 V
    Package Ceramic/Metallic


    Resolution (640×512 dip) image

    Imaging Case
    In order to intuitively compare the differences between visible CMOS image sensor and LUMIDAR_SW SWIR image sensor, we put the following sets of actual pictures for reference. These photos are partly from the DEMO in our lab and partly from our customer's camera integrated with LUMIDAR-SW.
    Imaging through silicon-based materials
    Identify the debris in the coffee beans
    Temperature detection of the soldering iron
    Imaging through packaging
    Moisture detection under the surface of apples
    Chemical liquid identification