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Smart Cart to Recognize Objects Based on User Intention
T.SHANMUGAPRIYAN PG Scholar-Master of Engineering in Pervasive Computing Technologies, Kings College of Engg., Punalkulam, India
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Abstract: Shopping in the real world is becoming an increasingly interactive experience as stores integrate various technologies to support shoppers. We present Smart cart a sensible mobile grocery aid which supports customers in the shopping process. We conducted a user study to assist the design of smart shopping trolley. Through which are explored preferable features to be incorporated in a mobile grocery aid we describe the study and its results the design principles and design of massive the features that are supported by smart cart and the functionalities that are to be integrated into smart Shopping. We also describe the technical challenge we came across during our development efforts. The aim of the system is to support shopping in supermarket through acquiring user attention. Thus ,the interactive trolley guides and directs shoppers in the handling and finding of groceries than traditional trolley shoppers by exhibiting a more uniform behaviour in terms of product sequence collection and easier for shoppers to find products and shorter distance.
Keywords: Mobile and Pervasive Technologies, Smart Cart, Sensor, Supermarket.
Keywords: Mobile and Pervasive Technologies, Smart Cart, Sensor, Supermarket.
How to Cite:
[1] T.SHANMUGAPRIYAN PG Scholar-Master of Engineering in Pervasive Computing Technologies, Kings College of Engg., Punalkulam, India , βSmart Cart to Recognize Objects Based on User Intention,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
