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An Augmented Reality-Based Approach for Designing Interactive Food Menu of Restaurant Using Android

Nur Amin, Sadia; Shivakumara, Palaiahnakote; Xue Jun, Tang; Yang Chong, Kai; Leong Lon Zan, Dillon; Rahavendra, Ramachandra

An Augmented Reality-Based Approach for Designing Interactive Food Menu of Restaurant Using Android Thumbnail


Authors

Sadia Nur Amin

Tang Xue Jun

Kai Yang Chong

Dillon Leong Lon Zan

Ramachandra Rahavendra



Abstract

The food industry is becoming competitive on a daily basis and introducing newer cuisines to the menu in an attempt to rise up the ladder. But they still are not being able to improve their performances because customers often only have the waiters to describe the dishes to them and thus, most of the time results in not fulfilling their expectations. Thus, to allow the customers to visualize their orders more informatively, this paper presents an android application that overlays digital three-dimensional (3D) food models onto a quick responsible (QR) code image marker on a food menu using augmented reality (AR) technology through the camera of the system. Moreover, the price and a detailed list of the ingredients used to prepare the dish, along with the nutritional and calorie content, will also appear beside the 3D food model to keep the customers completely informed of what they will be ordering. This work focused on designing the 3D food models in the Blender 3D tool, which were then imported into the Unity 3D application with the Vuforia software development kit preinstalled, and Figma has been utilized for designing the user interface of the system. The study’s outcome is an AR application that provides the customer with a more engaging approach to visualize the dishes in 3D form, which can improve customer sales and restaurant loyalty.

Citation

Nur Amin, S., Shivakumara, P., Xue Jun, T., Yang Chong, K., Leong Lon Zan, D., & Rahavendra, R. (2022). An Augmented Reality-Based Approach for Designing Interactive Food Menu of Restaurant Using Android. #Journal not on list, https://doi.org/10.47852/bonviewAIA2202354

Journal Article Type Article
Acceptance Date Oct 10, 2022
Publication Date Oct 10, 2022
Deposit Date Nov 15, 2024
Publicly Available Date Nov 18, 2024
Journal Artificial Intelligence and Applications
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.47852/bonviewAIA2202354

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