An augmented reality application for improving shopping experience in large retail stores

摘要: In several large retail stores, such as malls, sport or food the customer often feels lost due to difficulty in finding a product. Although these stores usually have visual signs guide customers toward specific products, sometimes are also hard find and not updated. this paper, we propose system that jointly combines deep learning augmented reality techniques provide with useful information. First, proposed learns appearance of different areas store using architecture. Then, can use their mobile devices take picture area where they located within store. Uploading image trained for classification, able identify is located. information novel techniques, about located: route another product available, 3D visualization, user location, analytics, etc. The developed successfully locate an example 98% accuracy. combination systems together shows promising results improving experience retail/commerce applications: branding, advance personalization, enhanced experience,