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Applied Spectroscopy

When light interacts with matter, it behaves differently at different wavelengths depending on the properties of the material. Measuring the changes at the different wavelengths (the spectral response) is called spectroscopy and can be used to get a better understanding of the material's properties (e.g. chemical composition or physical structure).

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Such measurements are useful for a large range of industrial applications, especially when they are inline or real time. We have experience designing and building new, dedicated spectrometers and spectral solutions for a variety of applications. We work closely with our colleagues in the Micro Optics group on developing customised optical MEMS components for spectroscopic solutions. We have also had projects where the focus has been analyzing spectral data from off-the-shelf spectrometers that have been adapted for a specific application. When working with spectral data, we draw on our extensive experience in multivariate analysis, machine learning and calibration methods.

We have worked in projects for online food quality measurements, recycling, online waste sorting, precision agriculture and industrial process monitoring.

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Projects

SAM Self Adapting Model-based system for Process Autonomy

SAM Self Adapting Model-based system for Process Autonomy

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The primary objective of SAM is to optimize demanding industrial processes by developing advanced physical models and machine learning algorithms, and integrating new online sensors where real time data is currently limited or lacking.

MeatCrafter – automatisk klassifisering av lammeskrotter

MeatCrafter – automatisk klassifisering av lammeskrotter

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Klassifisering av slakt skal være en objektiv vurdering av slaktet som er basert på sammensetningen av kjøtt, fett, og bein. Per i dag er klassifiseringen et viktig grunnlag for pris til bonde og industri. Prosjektet har utviklet instrumentering og...

Kan maten vår digitaliseres?

Kan maten vår digitaliseres?

Det enkle svaret på dette er ja. Det litt mer intrikate svaret er at det mer presist er selve matproduksjonen som kan digitaliseres. Og det vil du nok at skal skje.