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What is a CMOS-SWIR Sensor?

SWIR (Short-Wave Infrared) refers to the wavelength region of 900-2500nm. Traditional silicon sensors have an upper limit of approximately 1100nm. SWIR detection often requires camera components made of exotic materials. For example, Indium Gallium Arsenide (InGaAs) sensors (~900-1700nm range) are inherently expensive and often face challenges scaling to smaller pixel pitches and higher resolution arrays. 

CMOS (Complementary Metal Oxide Semiconductor) is used in integrated circuits to to convert photons to electrons, in other terms what converts energy to create an image. A pure CMOS-based sensor is capable of SWIR wavelength detection without the use of expensive semiconductor materials, making it a cost-effective technology that enables seamless integration.

Light Spectrum.V2

What can a quantum SWIR camera do?

Organic Material Detection

SWIR wavelengths are absorbed and reflected according to the type of material, therefore granting the ability to view past the material into the organic matter within. This ability can be applied to agricultural technologies.

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Labeled SWIR Apple1

Package Component Detection

Certain plastics or objects become transparent using SWIR cameras, useful for fill detection and quality control.

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Labeled SWIR bottle1

Non-invasive Blood Vein Detection

SWIR enables non-invasive bio-signal data to see beyond skin for health diagnostic or secure biometric authentication.

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Labeled SWIR hand1

Packaging Inspection

Differing package materials become transparent using SWIR cameras, useful for content inspection and quality control.

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Labeled SWIR Oreo1


  • Camera Icon
    Added Image Data
    SWIR extends imaging capabilities beyond what is visible to the naked eye-enabling image data to be captured in any light setting.
  • Image Frame Icon

    Higher Resolution + Contrast


    SWIR's region of the light spectrum produces images with higher resolutions when compared to NIR and MWIR imagery.

  • Thermometer Icon
    Temperature Observation
    Lower SWIR wavelengths nearing the mid-wave IR (MWIR) spectrum can capture energy emitted from objects (ability to provide thermal data).
  • Apple Icon
    Identification and Detection
    Infrared absorbance, reflectance, and transmission can help identify and differentiate organic and inorganic materials.
  • Raincloud Icon
    Extended Visibility
    SWIR sensors can detect smaller light photons making them less susceptible to scattering; penetrating through smoke, haze, or fog to produce a clearer image.
  • Camera AI
  • Image AI
  • Thermometer AI
  • Apple AI
  • Raincloud AI

Edge Detection

Edge Detection is vital to future of machine vision and pattern recognition. Industries ranging from automotive and agriculture to distribution and warehousing can all benefit from accurate edge detection. Edge detection enables AI within vehicles to identify and differentiate the silhouette of a box or bag from that of a pedestrian crossing the street.

Edge Detect Video Comparison of Visible and SWIR


Bio-Medical/Health & Biometric

Combining visual and SWIR imaging provides information on skin and tissue surfaces, offering a safer medical diagnostic, health monitoring, and secure biometric solution.


Current Advanced Driver Assistance Systems and Autonomous vehicles rely on cameras that fail to provide accurate detection of road and environmental hazards whereas it is possible with SWIR imaging.

Industrial & Machine Vision

The industrial automation and digitization of manufacturing is currently limited by the image data provided by the image sensor hardware used in machine vision systems. Implementing SWIR imaging would assist in decreasing discrepancies.