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
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