Kapitel/Beitrag aus dem Buch: Längle, T et al. 2019. OCM 2019 – 4th International Conference on Optical Characterization of Materials, March 13th – 14th, 2019, Karlsruhe, Germany : Conference Proceedings.
PhasmaFOOD is a H2020 project with the goal of building a miniaturized, smart multi-sensor food scanner. Equipped with a NIR sensor, a UV-VIS sensor and a RGB camera it aims to be a portable, highly versatile solution for various food safety issues, ranging from aflatoxin detection in grains and nuts, over shelf-life prediction in meats and fish to detection of adulteration in meat, edible oils and alcoholic beverages. The unique combination of sensors, operation via a smartphone application and sophisticated data analysis methods offer the possibility of rapid, non-destructive measurements that can - in contrast to costly and slow laboratory instruments - be applied at every stage of the production chain, from farm to fork. After a brief introduction of the PhasmaFOOD system architecture the data analysis approach, especially the image analysis, based on dictionary learning is explained in detail.
Groß, B et al. 2019. PhasmaFOOD - A miniaturized multi-sensor solution for rapid, non-destructive food quality assessment. In: Längle, T et al (eds.), OCM 2019 – 4th International Conference on Optical Characterization of Materials, March 13th – 14th, 2019, Karlsruhe, Germany : Conference Proceedings. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.58895/ksp/1000087509-10
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Veröffentlicht am 18. März 2019