Abstract
This study presents the development of an innovative system designed to facilitate the customers, especially elderly and people with disabilities, in their shopping experience. The proposed solution employes deep learning for product identification and obstacle detection in combination with a smartphone app that serves as the user interface. The solution offers functionalities such as product selection, shortest path calculation, automatic shopping list fulfillment and obstacle detection. The presented solution is part of a greater system that also consists of a self-propelled cart with indoor localization capabilities and a supermarket cloud platform.
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Acknowledgements
The research was performed during the EQUAL project and it was partially funded from the Greek General Secretariat for Research and Innovation with contract number T1EDK-04183.
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Symeonidis, I., Chatzigeorgiou, P., Antonopoulos, C., Fotiou, I., Panou, M. (2024). Supermarket Shopping with the Help of Deep Learning. In: García Márquez, F.P., Jamil, A., Hameed, A.A., Segovia Ramírez, I. (eds) Emerging Trends and Applications in Artificial Intelligence. ICETAI 2023. Lecture Notes in Networks and Systems, vol 960. Springer, Cham. https://doi.org/10.1007/978-3-031-56728-5_15
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DOI: https://doi.org/10.1007/978-3-031-56728-5_15
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