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ARomaticLens: Augmented Reality Applied to the Identification and Classification of Aromatic Herbs Through Computer Vision and Mobile Devices

In: Human-Centred Technology Management for a Sustainable Future

Author

Listed:
  • 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)

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.

Suggested Citation

  • William Aparecido Celestino Lopes & Marcelo Tsuguio Okano & João Carlos Lopes Fernandes & Samira Nascimento Antunes & Oduvaldo Vendrametto, 2025. "ARomaticLens: Augmented Reality Applied to the Identification and Classification of Aromatic Herbs Through Computer Vision and Mobile Devices," Springer Proceedings in Business and Economics, in: Ricardo Zimmermann & José Coelho Rodrigues & Ana Simoes & Gustavo Dalmarco (ed.), Human-Centred Technology Management for a Sustainable Future, pages 79-87, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-72494-7_9
    DOI: 10.1007/978-3-031-72494-7_9
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