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Hyperspectral Imaging System for Food Safety Inspection

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Automation 2023: Key Challenges in Automation, Robotics and Measurement Techniques (AUTOMATION 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 630))

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Abstract

The paper presents the analysis of the capability of developing a hyperspectral imaging system for on-line detection of foreign bodies in food products. In the first part of the article, based on literature review authors briefly introduce unique features of hyperspectral technology and its potential use in industrial inspection systems.

For the purposes of material identification tests the experimental station was developed. In the final part of the article, on the basis of conducted research a concept of on-line inspection system is proposed.

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References

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Author information

Authors and Affiliations

  1. Łukasiewicz Research Network – Institute for Sustainable Technologies, Radom, Poland

    Berenika Linowska & Piotr Garbacz

Authors
  1. Berenika Linowska
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  2. Piotr Garbacz
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Corresponding author

Correspondence to Berenika Linowska .

Editor information

Editors and Affiliations

  1. Industrial Research Institute for Automation and Measurements (PIAP), Warsaw, Poland

    Roman Szewczyk

  2. Industrial Research Institute for Automation and Measurements (PIAP), Warsaw, Poland

    Cezary Zieliński

  3. Industrial Research Institute for Automation and Measurements (PIAP), Warsaw, Poland

    Małgorzata Kaliczyńska

  4. Faculty of Mechanics, Department of Mechatronics, Robotics and Digital Manufacturing, Vilnius Gediminas Technical University, Vilnius, Lithuania

    Vytautas Bučinskas

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Linowska, B., Garbacz, P. (2023). Hyperspectral Imaging System for Food Safety Inspection. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M., Bučinskas, V. (eds) Automation 2023: Key Challenges in Automation, Robotics and Measurement Techniques. AUTOMATION 2023. Lecture Notes in Networks and Systems, vol 630. Springer, Cham. https://doi.org/10.1007/978-3-031-25844-2_19

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