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20250218199. Zero-friction Exit Experie (Walmart Apollo, LLC)

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ZERO-FRICTION EXIT EXPERIENCE VIA COMPUTER VISION

Abstract: examples provide a system and method for identifying unpaid items in real-time using computer vision object detection and recognition models. images of a cart are selected based on proximity of the cart to one or more anchor points. the object detection and recognition models analyze the image data and identify a set of items in the selected cart. an e-receipt including a set of paid items is selected from a plurality of active electronic receipts based on matching the set of identified items to the set of paid items. any unmatched items are added to a set of predicted unpaid items. when a receipt corresponding to the selected e-receipt is scanned, a notification identifying the set of predicted unpaid items is provided to a user device for display, enabling a user to identify any unpaid items in a basket of items quickly and accurately in real-time at store exit.

Inventor(s): Feiyun Zhu, Wei Wang, Lingfeng Zhang, Colin Grant Mitchell, Yanmei Jin, Huanyu Zang, Xin Ma, Michael Alvin Schubert, JR., William Craig Robinson, Zhaoliang Duan, Mingquan Yuan, Nilesh Pandey, Han Zhang, Ketan Shah, Paul Lewis Lobo

CPC Classification: G06V20/64 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING)

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