ARomaticLens: Augmented Reality Applied to the Identification and Classification of Aromatic Herbs Through Computer Vision and Mobile Devices
William Aparecido Celestino Lopes (),
Marcelo Tsuguio Okano,
João Carlos Lopes Fernandes,
Samira Nascimento Antunes and
Oduvaldo Vendrametto
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William Aparecido Celestino Lopes: Paulista University UNIP
Marcelo Tsuguio Okano: Paulista University UNIP
João Carlos Lopes Fernandes: Paulista University UNIP
Samira Nascimento Antunes: Paulista University UNIP
Oduvaldo Vendrametto: Paulista University UNIP
A chapter in Human-Centred Technology Management for a Sustainable Future, 2025, pp 79-87 from Springer
Abstract:
Abstract Identifying and classifying foods accurately is critical to ensuring food safety. Augmented Reality (AR) stands out as a promising technology in this context. During studies at Companhia de Entreposto e Armazéns Gerais de São Paulo (CEAGESP), difficulties were identified in classifying aromatic herbs due to the diversity and similarities between species. The project aimed to develop the ARomaticLens application to address these challenges, employing the Design Science Research (DSR) methodology. Validation was carried out through practical tests and questionnaires with CEAGESP experts. The results obtained accurate identification of herbs and a score of 8 on a scale of 0 to 10 in the usability of the application.
Keywords: Augmented reality; Aromatic herbs; Computer vision; Mobile devices (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-72494-7_9
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DOI: 10.1007/978-3-031-72494-7_9
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