Browsing by Author "Muhammad Ahmed, Abdul Manan and Ahmed Manzoor"

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    Revolutionizing Shopping with AI Automation
    (UMT, Lahore, 2025) Muhammad Ahmed, Abdul Manan and Ahmed Manzoor
    Rapid technological advancements have led to the world's evolution from villages to cities and now to smart cities, but retail shopping, particularly in grocery stores, still relies on traditional checkout methods, where customers must wait in long lines for extensive item scanning. This inefficiency causes customer dissatisfaction and emphasizes the need for an intelligent, automated solution to improve the shopping and checkout experience. By utilizing Artificial Intelligence of Things (AIoT) and integrating computer vision, and embedded system technologies, Vision Cart fills this gap and produces a smart shopping cart. Every cart has a raspberry pi 5 module, along with V1.2 camera module that uses cutting-edge computer vision techniques to collect real-time product photos and transmit them to a central server. These photos are processed by a Yolov8s model for product classification and recognition, guaranteeing real-time updates to a virtual cart that is shown on an attached screen. Furthermore, Vision Cart uses a Key Frame comparisons algorithm as tracking model, which works best in this situation, to keep bill updated of item additions and deletions.