- San Francisco CA, US Lin GAO - Syosset NY, US Yufeng HE - Shanghai, CN Xiao ZHOU - Shanghai, CN Yilin HUANG - Shanghai, CN Griffin KELLY - Chicago IL, US Isabel TSAI - New York NY, US Ahmed BESHRY - Queens NY, US
International Classification:
G06Q 20/20 G07G 1/00 B62B 3/14
Abstract:
Self-checkout vehicle systems and methods comprising a self-checkout vehicle having a camera(s), a weight sensor(s), and a processor configured to: (i) identify via computer vision a merchandise item selected by a shopper based on an identifier affixed to the selected item, and (ii) calculate a price of the merchandise item based on the identification and weight of the selected item. Computer vision systems and methods for identifying merchandise selected by a shopper comprising a processor configured to: (i) identify an identifier affixed to the selected merchandise and an item category of the selected merchandise, and (ii) compare the identifier and item category identified in each respective image to determine the most likely identification of the merchandise.
Visual Recognition And Sensor Fusion Weight Detection System And Method
Disclosed are visual recognition and sensor fusion weight detection system and method. An example method includes: tracking, by a sensor system, objects and motions within a selected area of a store; activating, by the sensor system, a first computing device positioned in the selected area in response to detecting a presence of a customer within the selected area; identifying, by the sensor system, the customer and at least one item carried by the customer; transmitting, by the sensor system, identifying information of the customer and the at least one item to a computing server system via a communication network; measuring, by the first computing device, a weight of the at least one item; transmitting, by the first computing device, the weight to the computing server system via the communication network; and generating, by the computing server system, via the communication network, transaction information of the at least one item.
Disclosed is a system for self-checkout with anti-theft measures. The system comprises: an Electronic Article Surveillance (EAS) device configured to be affixed to a merchandise and uniquely identify the merchandise via at least one visually or wirelessly readable code; an Identification (ID) Code Reader configured to: obtain and process the at least one visually or wirelessly readable code associated with the EAS device, and extract information from one or more databases for facilitating a transaction of the merchandise; and an EAS Unlock Device configured to: detect a payment status of the merchandise indicated in the one or more databases based at least upon the at least one visually or wirelessly readable code associated with the EAS device, and in response to detecting a successful payment of the merchandise indicated in the one or more databases, detach the EAS device from the merchandise.
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