Description

HyperSpectral Imaging (HSI) is an emerging imaging and spectroscopy technology that generates a spatial map of spectral variations of the captured object. It maps the intensity of the reflected light from the surface of the sample at well-defined optical wavelengths.

The advantages of HSI include:

  • Non-invasive technique.
  • Simultaneous spatial and spectral information.
  • Fast to generate a big amount of rich information data.

Engineers build hyperspectral sensors and processing systems for applications in astronomy, agriculture, biomedical imaging, geosciences, physics, and surveillance.

HyperSpectral Imaging (HSI) is a challenging technology and requires a solid knowledge of the system configuration in order to capture quality images. SOLPI can offer its expertise in the field and help other companies in the development of state-of-the-art hyperspectral applications.

HSI, as any emerging technology, do not have many support tools to help new users. It is not easy to get standardized hyperspectral data out of the camera’s sensor and to facilitate the process, SOLPI has developed the HyperSpectral SDK.

HyperSpectral SDK works with two branches of hyperspectral sensors, push broom scanner and snapshot mosaic sensors. The former scans the object of interest over time, the so-called line-scan, and the latter can generate a hyperspectral image in a single shot, enabling video frame rates.

Hyperspectral System

SOLPI offers support in the design of the hyperspectral system configuration. We can provide:

  • The hyperspectral camera that meets the application requirements.
  • Test benches: versatile structures to place the camera using different angles and distances from the scanning object.
  • High precision conveyor belts to scan the targets.
  • Custom lighting setups well defined for the wavelengths of interest.
  • The suitable lens and bandpass filters for the selected hyperspectral camera and application.
  • The most suitable software tools to develop the application efficiently.
  • Reference targets for calibration of the hyperspectral system.

Hyperspectral System

SOLPI offers the possibility to perform feasibility studies to newcomers in hyperspectral imaging:

 

  • Select the spectral bands of interest.
  • Choose the lighting configuration for your application.
  • Help the user in the calibration of the hyperspectral system.
  • Offer support in the design of the hyperspectral application.
  • Help to develop the better model to sort or analyze the hyperspectral data.

Components

SOLPI can provide the following elements for Hyperspectral Imaging

CAMERAS

Vision components, such as cameras, filters and lenses.

LIGHTING

Custom light source according the project needs.

STARTER KIT

We can offer you a static platform or a setup on a belt to easily capture and analyse your target.

HSI SDK

Software to generate the hyperspectral images.

Applications

Hyperspectral imaging is used in a wide variety of applications and it is expanding its scope of applications

 

  • Remote Sensing: Remote sensing using drones or unmanned aerial vehicles (UAV) with agricultural
    purposes is a hot-topic on hyperspectral imaging.
  • Spectral Inspection: This technique can be used to distinguish and recognize materials, to enhance the visibility of faint or obscured features, to detect signs of degradation and study the effect of environmental conditions on the object of interest.
  • Sorting Systems: Sorting systems based on optical methods and inspection of useful wavelengths
    have the potential to rapidly detect and physically remove undesired products.
  • Food Quality Monitoring: Hyperspectral inspection of food is fast and non-destructive. Measuring the spectral signature enable the labelling of food products with respect to the presence of allergenic or non-desired components.

Example

This picture shows the hypercube of a scanned pear. Here you can observe the different spectral responses among the bands included in the hyperspectral sensor.

Example

This picture of a mandarine shows how with Hyperspectral Imaging you can observe damages in the fruit.