Date of Award
6-14-2023
Document Type
Thesis
Publisher
Santa Clara : Santa Clara University, 2023.
Department
Computer Science and Engineering
First Advisor
David Anastasiu
Abstract
There is some opportunity to apply AI and computer vision techniques to the problems in the retail industry. This paper presents a possible solution to the problem of accurate automated check-out in a retail store setting, a difficult problem due to the possibility of occlusion of hand-held products by the customer and the possible similarity of different products. This solution will identify objects being purchased frame-by-frame, propose tracks that follow individual objects across multiple frames, then determine when and where the object was brought over the region of interest, which will be determined at the start of the task. At the end, the objects can be totaled and an overall price determined.
Recommended Citation
Ellis, Griffin, "Automated Retail Checkout by Computer Vision: ARC-AI" (2023). Computer Science and Engineering Senior Theses. 248.
https://scholarcommons.scu.edu/cseng_senior/248