Former Food Products Safety Evaluation: Computer Vision as an Innovative Approach for the Packaging Remnants Detection
Former food products (FFPs) represent a way by which leftovers from the food industry (e.g., biscuits, bread, breakfast cereals, chocolate bars, pasta, savoury snacks, and sweets) are converted into ingredients for the feed industry, thereby keeping food losses in the food chain. FFPs represent an a...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Food Quality |
| Online Access: | http://dx.doi.org/10.1155/2017/1064580 |
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| author | Marco Tretola Matteo Ottoboni Ambra Rita Di Rosa Carlotta Giromini Eleonora Fusi Raffaella Rebucci Francesco Leone Vittorio Dell’Orto Vincenzo Chiofalo Luciano Pinotti |
| author_facet | Marco Tretola Matteo Ottoboni Ambra Rita Di Rosa Carlotta Giromini Eleonora Fusi Raffaella Rebucci Francesco Leone Vittorio Dell’Orto Vincenzo Chiofalo Luciano Pinotti |
| author_sort | Marco Tretola |
| collection | DOAJ |
| description | Former food products (FFPs) represent a way by which leftovers from the food industry (e.g., biscuits, bread, breakfast cereals, chocolate bars, pasta, savoury snacks, and sweets) are converted into ingredients for the feed industry, thereby keeping food losses in the food chain. FFPs represent an alternative source of nutrients for animal feeding. However, beyond their nutritional value, the use of FFPs in animal feeding implies also safety issues, such as those related to the presence of packaging remnants. These contaminants might reside in FFP during food processing (e.g., collection, unpacking, mixing, grinding, and drying). Nowadays, artificial senses are widely used for the detection of foreign material in food and all of them involve computer vision. Computer vision technique provides detailed pixel-based characterizations of colours spectrum of food products, suitable for quality evaluation. The application of computer vision for a rapid qualitative screening of FFP’s safety features, in particular for the detection of packaging remnants, has been recently tested. This paper presents the basic principles, the advantages, and disadvantages of the computer vision method with an evaluation of its potential in the detection of packaging remnants in FFP. |
| format | Article |
| id | doaj-art-b02ed7c11cef4569a0218988e1933295 |
| institution | Kabale University |
| issn | 0146-9428 1745-4557 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Food Quality |
| spelling | doaj-art-b02ed7c11cef4569a0218988e19332952025-02-03T01:26:33ZengWileyJournal of Food Quality0146-94281745-45572017-01-01201710.1155/2017/10645801064580Former Food Products Safety Evaluation: Computer Vision as an Innovative Approach for the Packaging Remnants DetectionMarco Tretola0Matteo Ottoboni1Ambra Rita Di Rosa2Carlotta Giromini3Eleonora Fusi4Raffaella Rebucci5Francesco Leone6Vittorio Dell’Orto7Vincenzo Chiofalo8Luciano Pinotti9Department of Health, Animal Science and Food Safety, Università degli Studi di Milano, 20134 Milano, ItalyDepartment of Health, Animal Science and Food Safety, Università degli Studi di Milano, 20134 Milano, ItalyDepartment of Veterinary Science, Università degli Studi di Messina, 98168 Messina, ItalyDepartment of Health, Animal Science and Food Safety, Università degli Studi di Milano, 20134 Milano, ItalyDepartment of Health, Animal Science and Food Safety, Università degli Studi di Milano, 20134 Milano, ItalyDepartment of Health, Animal Science and Food Safety, Università degli Studi di Milano, 20134 Milano, ItalyDepartment of Veterinary Science, Università degli Studi di Messina, 98168 Messina, ItalyDepartment of Health, Animal Science and Food Safety, Università degli Studi di Milano, 20134 Milano, ItalyDepartment of Veterinary Science, Università degli Studi di Messina, 98168 Messina, ItalyDepartment of Health, Animal Science and Food Safety, Università degli Studi di Milano, 20134 Milano, ItalyFormer food products (FFPs) represent a way by which leftovers from the food industry (e.g., biscuits, bread, breakfast cereals, chocolate bars, pasta, savoury snacks, and sweets) are converted into ingredients for the feed industry, thereby keeping food losses in the food chain. FFPs represent an alternative source of nutrients for animal feeding. However, beyond their nutritional value, the use of FFPs in animal feeding implies also safety issues, such as those related to the presence of packaging remnants. These contaminants might reside in FFP during food processing (e.g., collection, unpacking, mixing, grinding, and drying). Nowadays, artificial senses are widely used for the detection of foreign material in food and all of them involve computer vision. Computer vision technique provides detailed pixel-based characterizations of colours spectrum of food products, suitable for quality evaluation. The application of computer vision for a rapid qualitative screening of FFP’s safety features, in particular for the detection of packaging remnants, has been recently tested. This paper presents the basic principles, the advantages, and disadvantages of the computer vision method with an evaluation of its potential in the detection of packaging remnants in FFP.http://dx.doi.org/10.1155/2017/1064580 |
| spellingShingle | Marco Tretola Matteo Ottoboni Ambra Rita Di Rosa Carlotta Giromini Eleonora Fusi Raffaella Rebucci Francesco Leone Vittorio Dell’Orto Vincenzo Chiofalo Luciano Pinotti Former Food Products Safety Evaluation: Computer Vision as an Innovative Approach for the Packaging Remnants Detection Journal of Food Quality |
| title | Former Food Products Safety Evaluation: Computer Vision as an Innovative Approach for the Packaging Remnants Detection |
| title_full | Former Food Products Safety Evaluation: Computer Vision as an Innovative Approach for the Packaging Remnants Detection |
| title_fullStr | Former Food Products Safety Evaluation: Computer Vision as an Innovative Approach for the Packaging Remnants Detection |
| title_full_unstemmed | Former Food Products Safety Evaluation: Computer Vision as an Innovative Approach for the Packaging Remnants Detection |
| title_short | Former Food Products Safety Evaluation: Computer Vision as an Innovative Approach for the Packaging Remnants Detection |
| title_sort | former food products safety evaluation computer vision as an innovative approach for the packaging remnants detection |
| url | http://dx.doi.org/10.1155/2017/1064580 |
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