Extended Abstract: CoShopper - Leveraging Artificial Intelligence for an Enhanced Augmented Reality Grocery Shopping Experience

Yasmeen Alhamdan, Saif Alabachi, N. Khan
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引用次数: 3

Abstract

This paper presents a system that integrates Artificial Intelligence (AI) methods with Augmented Reality (AR) techniques to enhance grocery shopping experience through the use of smart glasses. Our proposed framework deploys a Convolutional Neural Network (CNN) object detection model that allows for item identification. By simultaneously retrieving data from a large nutrition database, personal medical reports, and other grocery store related datasets, our intelligent system is able to provide user-centric nutrition facts, health and wellness tips, and unhealthy selection warnings that are augmented on a real time broadcasting of the smart glasses. Our state-of-the-art framework CoShopper demonstrates high accuracy in detecting grocery items, improves product selection, increases cost efficiency, and reduces the time spent in the process. Video demo of CoShopper can be viewed at [shorturl.at/mqIPX]
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扩展摘要:CoShopper -利用人工智能增强增强现实杂货店购物体验
本文介绍了一个将人工智能(AI)方法与增强现实(AR)技术相结合的系统,通过使用智能眼镜来增强杂货购物体验。我们提出的框架部署了一个卷积神经网络(CNN)对象检测模型,允许进行项目识别。通过同时从大型营养数据库、个人医疗报告和其他杂货店相关数据集中检索数据,我们的智能系统能够提供以用户为中心的营养成分、健康和保健提示,以及在智能眼镜的实时广播中增强的不健康选择警告。我们最先进的框架CoShopper在检测杂货项目方面具有很高的准确性,改善了产品选择,提高了成本效率,并减少了在此过程中花费的时间。CoShopper的视频演示可在[shorturl.at/mqIPX]观看。
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