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Fast and efficient processing of hyperspectral images

Opportunity for

  • Food safety companies delivering imaging products and services

  • Companies interested in remote sensing technologies to develop new products and services

  • Companies using remote sensing data to deliver products and services

  • Security companies delivering imaging products and services

  • Companies using platforms (drones / robotics) using hyperspectral cameras

Opportunity description

Industry challenge: Hyperspectral imaging is a different way of collecting photographic information. It is much more powerful than traditional photography, and provides significantly more information than can be seen with the naked eye. Hidden details can be found, and material properties can be discovered. Hyperspectral data can provide information to enable and accelerate the automation of tasks such as in the detection of crop disease, forensic applications and differentiating between different materials.

While hyperspectral cameras are now widely available, the software currently available to analyse the images is not efficient and restricts widespread adoption.

Current opportunity: The CSIRO has developed software to rapidly process hyperspectral images. The benefits associated with using this software includes increased accuracy of analysis (for example, by removing effects due to lighting and surface reflection on objects), and the reduction in constraints at the time of capture (for example, aerial imaging could be conducted at a wider variety of times of the day due to lighting compensation and ground-based use can be achieved more practically). An important feature of the software is the ability to perform tasks such as material indexing without the need to calibrate for lighting.

Hyperspectral imaging can provide more flexible and better results in applications such as food inspection, (fruit sorting or inspecting for microorganisms, fat vs meat content), agriculture (early detection of diseases in plants before they are visible, automated crop identification and health monitoring), and security (face detection allowing more flexible lighting and the ability to more quickly identify skin variants, accurate object tracking, etc).

An API is available for developers to integrate hyperspectral processing into an application, or to build an application that makes use of the features of the software.

Opportunity type

Seeking interest, Licensing

Readiness

Mid (TRL 5-7)
Proof of concept in the laboratory then in the field resulting in the development of a minimum viable product (MVP).
What does this mean?
Describes the stage of the challenge or opportunity being pursued.

Project led by

Multiple industries
Aquaculture Beef Cattle Cotton Dairy Fruits Grains Lamb Nuts Oilseeds Other rural industries Pasture, fodder & feed Poultry Pulse grains Sheep Sugar Vegetables Wild catch fisheries

Commonwealth Scientific and Industrial Research Organisation (CSIRO)

As Australia‚Äôs national science agency and innovation catalyst, CSIRO solves the greatest challenges through innovative science and technology. We …

Multiple industries
Aquaculture Beef Cattle Cotton Dairy Fruits Grains Lamb Nuts Oilseeds Other rural industries Pasture, fodder & feed Poultry Pulse grains Sheep Sugar Vegetables Wild catch fisheries
  • Location

    Global

  • Organisation type

    Public research organisation

Logo for Commonwealth Scientific and Industrial Research Organisation (CSIRO)

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Opportunity for

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  • Led by

    Commonwealth Scientific and Industrial Research Organisation (CSIRO)

  • Opportunity type

    Seeking interest, Licensing

  • Readiness
    Mid (TRL 5-7)
    Proof of concept in the laboratory then in the field resulting in the development of a minimum viable product (MVP).

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