Abstract
An efficacious prototyping of an intelligent Internet of Things (IoT)-based smart cart that primarily enhances the shopping experience of the customers as well as owners. The assembly of the smart cart consists of a contemporary barcode scanner from the present-day shopping scenario, feedback systems providing product weight and product imaging to avoid discrepancies, a cloud-based database and an embedded hardware to connect the above. The mechanism facilitates the customer to add and remove products throughout the shopping, updating the bill instantaneously, and further reflecting changes in the inventory. The framework incorporates a Parse cloud-based inventory to ease the managerial task at the owner end. Further focus has been also given on the proper placement of all the components on a cart for the efficient working of the shop, keeping user’s ease of usage in mind.
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Acknowledgements
The following is a note stating that in this paper is a result of cumulative hardwork of all the authors, i.e., Prithvish, Shraddha, and Prof. J. S. Rani Alex as mentioned above. All the authors contributed equally in the research work resulting in the following paper. We would also like to thank Prof. J. S. Rani Alex for reviewing the paper and guiding our way through the research providing immense support.
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Prithvish, V.N., Agrawal, S., Alex, J.S.R. (2018). An IoT-Based Smart Shopping Cart Using the Contemporary Barcode Scanner. In: Thalmann, D., Subhashini, N., Mohanaprasad, K., Murugan, M. (eds) Intelligent Embedded Systems. Lecture Notes in Electrical Engineering, vol 492. Springer, Singapore. https://doi.org/10.1007/978-981-10-8575-8_6
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DOI: https://doi.org/10.1007/978-981-10-8575-8_6
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