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Fruit and Vegetable Identification Using Machine Learning for Retail Application
Halmstad University, School of Information Technology.
Halmstad University, School of Information Technology.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-1400-346X
2018 (English)In: 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) / [ed] Gabriella Sanniti di Baja, Luigi Gallo, Kokou Yetongnon, Albert Dipanda, Modesto Castrillón-Santana & Richard Chbeir, Los Alamitos: IEEE Computer Society, 2018, p. 9-15Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes an approach of creating a system identifying fruit and vegetables in the retail market using images captured with a video camera attached to the system. The system helps the customers to label desired fruits and vegetables with a price according to its weight. The purpose of the system is to minimize the number of human computer interactions, speed up the identification process and improve the usability of the graphical user interface compared to existing manual systems. The hardware of the system is constituted by a Raspberry Pi, camera, display, load cell and a case. To classify an object, different convolutional neural networks have been tested and retrained. To test the usability, a heuristic evaluation has been performed with several users, concluding that the implemented system is more user friendly compared to existing systems.

Place, publisher, year, edition, pages
Los Alamitos: IEEE Computer Society, 2018. p. 9-15
Keywords [en]
Fruit and Vegetable Identification, Computer Vision, Graphical User Interface, Usability
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-38506DOI: 10.1109/SITIS.2018.00013ISI: 000469258400002Scopus ID: 2-s2.0-85065915059ISBN: 978-1-5386-9385-8 (electronic)ISBN: 978-1-5386-9386-5 (print)OAI: oai:DiVA.org:hh-38506DiVA, id: diva2:1268694
Conference
The 14th International Conference on Signal Image Technology & Internet based Systems, Las Palmas de Gran Canaria, Spain, 26-29 November, 2018
Funder
Swedish Research CouncilKnowledge FoundationVinnovaAvailable from: 2018-12-06 Created: 2018-12-06 Last updated: 2020-02-03Bibliographically approved

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Alonso-Fernandez, Fernando

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CiteExportLink to record
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Citation style
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Language
  • de-DE
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Output format
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