Leveraging from Artificial Intelligence (AI) In Advancing the Augmented Reality (AR) Grocery Shopping Experience
Globally, people are extremely eager to save time and money while maintaining healthy life choices, especially when performing essential activities such as in-store grocery shopping. This paper presents a system that integrates Artificial Intelligence (AI) methods with Augmented Reality (AR) techniques to enhance the 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.
- Master of Digital Media
- Digital Media
Granting InstitutionRyerson University
LAC Thesis Type