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Compact Camera Detects Material Properties in Real Time

Author
Mathias Keiber
1:30 min reading time

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Instead of analyzing entire images, a new camera performs hyperspectral analysis on selected points only. This is intended to make quality control faster, more robust, and more sustainable.

A hyperspectral camera analyzes a field of blooming lavender and uses color-coded spectral data to reveal differences in plant condition.


Fraunhofer IPMS

A compact, AI-supported hyperspectral camera is set to enable new applications in industry and agriculture. The system is being developed by the OASYS research consortium, with the participation of the Fraunhofer Institute for Photonic Microsystems IPMS. According to a Fraunhofer press release, the aim is to visualize chemical material properties in real time and integrate analyses directly into production and sorting processes.

The focus is on this measurement approach: instead of evaluating complete images hyperspectrally, a conventional 2D camera first analyzes the object. AI identifies relevant areas, known as regions of interest, where spectral measurements are then performed in a targeted manner. This is expected to significantly reduce data volume, energy consumption, and computing effort.

The integrated spectrometer records spectral characteristics that allow conclusions to be drawn about chemical compositions. This should make it possible to distinguish between different types of materials in textiles and plastics, for example, or to detect quality defects in food that are invisible to the human eye.

Use in Industry and Agriculture

The technology is intended to open up applications along industrial and agricultural value chains – in the recycling industry, for example, to improve the sorting of plastics, and in agriculture, for example, to more accurately assess the condition of plants.

The project is part of the OASYS research program, which will run from September 2023 to August 2028. It is funded by the German Federal Ministry of Education and Research with around €12.5 million. The consortium is coordinated by the Brandenburg University of Technology Cottbus-Senftenberg. In addition to Fraunhofer IPMS, the Ferdinand Braun Institute FBH and the IHP – Leibniz Institute for Innovative Microelectronics are also involved.

This is a partly automated translation of this german article.

Background information for this content

Multiple Wavelengths Photoelastic Constant Determination of Glass by Tardy Method and a Hyperspectral Camera

In most birefringent materials, photoelastic constants (or stress-optic coefficient) of various wavelengths are commonly required for application in modern optical measurement and/or electronic products. Nevertheless, the birefringence in glass is …

MLP-AMDC: A MLP Architecture for Adaptive-Mask-Based Dual-Camera Snapshot Hyperspectral Imaging

The coded Aperture Snapshot Spectral Imaging (CASSI) system has great advantages in dynamically acquiring Hyper-Spectral Image (HSI) compared to traditional measurement methods, but there are the following problems. 1) Traditional mask relies on …

Deep Intra-operative Illumination Calibration of Hyperspectral Cameras

  • Open Access

Hyperspectral imaging (HSI) is emerging as a promising novel imaging modality with various potential surgical applications. Currently available cameras, however, suffer from poor integration into the clinical workflow because they require the …

Towards Energy-Efficient Hyperspectral Image Processing Inside Camera Pixels

Hyperspectral cameras generate a large amount of data due to the presence of hundreds of spectral bands as opposed to only three channels (red, green, and blue) in traditional cameras. This requires a significant amount of data transmission …

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    hyperspectral camera/© Fraunhofer IPMS, in-adhesives, MKVS, Ecoclean/© Ecoclean, Hellmich GmbH/© Hellmich GmbH, Krahn Ceramics/© Krahn Ceramics, Kisling AG/© Kisling AG, ECHTERHAGE HOLDING GMBH&CO.KG - VSE, Schenker Hydraulik AG/© Schenker Hydraulik AG