A Simple Differential Microwave Imaging Approach for In-Line Inspection of Food Products.

detection food inspection food security microwave imaging non-invasive diagnostics

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
10 Jan 2023
Historique:
received: 30 11 2022
revised: 28 12 2022
accepted: 06 01 2023
entrez: 21 1 2023
pubmed: 22 1 2023
medline: 25 1 2023
Statut: epublish

Résumé

Microwave imaging has been recently proposed as alternative technology for in-line inspection of packaged products in the food industry, thanks to its non-invasiveness and the low-cost of the equipment. In this framework, simple and effective detection/imaging strategies, able to reveal the presence of foreign bodies that may have contaminated the product during the packaging stage, are needed to allow real-time and reliable detection, thus avoiding delays along the production line and limiting occurrence of false detections (either negative or positive). In this work, a novel detection/imaging approach meeting these requirements is presented. The approach performs the detection/imaging of the contaminant by exploiting the symmetries usually characterizing the food items. Such symmetries are broken by the presence of foreign bodies, thereby determining a differential signal that can be processed to reveal their presence. In so doing, the approach does not require the prior measurement of a reference, defect-free, item. With respect to the quite common case of homogeneous food packaged in circular plastic/glass jars, numerical analyses are provided to show the effectiveness of the proposed approach.

Identifiants

pubmed: 36679575
pii: s23020779
doi: 10.3390/s23020779
pmc: PMC9865176
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Italian Ministry of University and Research
ID : 2017 PRIN project "BEST-Food, Broadband Electromagnetic Sensing Technologies for Food Quality and Security Assessment."

Références

J Chromatogr A. 2000 Jun 16;882(1-2):255-70
pubmed: 10895950

Auteurs

Noemi Zeni (N)

Department of Electric Engineering and Information Technologies, University of Naples Federico II, 80125 Naples, Italy.

Lorenzo Crocco (L)

Institute for the Electromagnetic Sensing of the Environment, National Research Council of Italy, 80124 Naples, Italy.

Marta Cavagnaro (M)

Department of Information Engineering, Electronics and Telecommunications, University of Rome La Sapienza, 00184 Rome, Italy.

Gennaro Bellizzi (G)

Department of Electric Engineering and Information Technologies, University of Naples Federico II, 80125 Naples, Italy.

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Classifications MeSH