Smart Shopping Cart with Human Body and Outlook Tracking

Tan, Rae Munn (2025) Smart Shopping Cart with Human Body and Outlook Tracking. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.

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Abstract

A shopping cart is a tool that many utilized during their visit to a shopping mall, that requires a person to push the cart while browsing in the store. The tool is reliant on people to push the cart manually in the store, which may be inconvinient to users that struggles with pushing the cart due to the weight of the cart, the distance to the checkout counter is faraway, or the user suffers an injury that prevents them from using the shopping cart. This paper proposes a smart shopping cart that is capable of tracking a person through the use of computer vision that follows the person without human intervention. It utilizes the latest deep learning object detection model YOLO11 to detect the targeted person and distance estimation to measure the distance between the user and the camera. The distance estimation allows the cart to follow the user while maintaining a certain distance between the camera and the targeted person. The results of the testing suggests that the cart is capable of achieving the objectives of the project and requires more additions and fine tuning to the system before this idea can be widely implemented in stores.