Machine learning algorithm trained to identify algorithmically populated shopping carts as candidates for verification

    公开(公告)号:US11475657B2

    公开(公告)日:2022-10-18

    申请号:US17174634

    申请日:2021-02-12

    申请人: 7-ELEVEN, INC.

    摘要: An apparatus includes a memory and processor. The memory stores a machine learning algorithm configured to decide whether to use a virtual shopping cart to verify all or a portion of a transaction performed with an algorithmic shopping cart. The processor receives feedback for a decision made by the algorithm, indicating whether the algorithmic and virtual carts match. The processor assigns a reward to the feedback. A first positive reward is assigned when the virtual shopping cart is not used for verification, and the feedback indicates that the carts match. A second positive reward is assigned when the virtual cart is used for verification, and the feedback indicates that the carts do not match. A first negative reward is assigned when the virtual shopping cart is not used for verification, and the feedback indicates that the carts do not match. A second negative reward is assigned when the virtual cart is used for verification, and the feedback indicates that the carts match. The processor uses the reward to update the algorithm.

    MACHINE LEARNING ALGORITHM TRAINED TO IDENTIFY ALGORITHMICALLY POPULATED SHOPPING CARTS AS CANDIDATES FOR VERIFICATION

    公开(公告)号:US20210166025A1

    公开(公告)日:2021-06-03

    申请号:US17174634

    申请日:2021-02-12

    申请人: 7-ELEVEN, INC.

    IPC分类号: G06K9/00 G06Q30/06 G06N20/00

    摘要: An apparatus includes a memory and processor. The memory stores a machine learning algorithm configured to decide whether to use a virtual shopping cart to verify all or a portion of a transaction performed with an algorithmic shopping cart. The processor receives feedback for a decision made by the algorithm, indicating whether the algorithmic and virtual carts match. The processor assigns a reward to the feedback. A first positive reward is assigned when the virtual shopping cart is not used for verification, and the feedback indicates that the carts match. A second positive reward is assigned when the virtual cart is used for verification, and the feedback indicates that the carts do not match. A first negative reward is assigned when the virtual shopping cart is not used for verification, and the feedback indicates that the carts do not match. A second negative reward is assigned when the virtual cart is used for verification, and the feedback indicates that the carts match. The processor uses the reward to update the algorithm.

    SELF-SERVE BEVERAGE DETECTION AND ASSIGNMENT

    公开(公告)号:US20210124948A1

    公开(公告)日:2021-04-29

    申请号:US17104925

    申请日:2020-11-25

    申请人: 7-Eleven, Inc.

    IPC分类号: G06K9/00 G06K9/32 G06T7/292

    摘要: An image sensor is positioned such that a field-of-view of the sensor encompasses portion of a beverage machine. The field-of-view includes a zone associated with operating the beverage machine. A subsystem receives a signal indicating beverage is dispensed and angled-view images from the image sensor. First image(s) associated with a start of beverage being dispensed are determined by detecting a hand of a person entering the zone associated with operating the beverage machine. A first identifier is determined for the person in the first image(s). Second image(s) associated with an end of the beverage being dispensed are determined by detecting a hand of the person exiting the zone. A second identifier is determined for the person in the second image(s). If the first identifier is the same as the second identifier, the beverage is assigned to the person with the first identifier.

    SYSTEM AND METHOD FOR CAMERA RE-CALIBRATION BASED ON AN UPDATED HOMOGRAPHY

    公开(公告)号:US20240029277A1

    公开(公告)日:2024-01-25

    申请号:US18476468

    申请日:2023-09-28

    申请人: 7-Eleven, Inc.

    IPC分类号: G06T7/292 G06T7/80 G06T7/00

    摘要: A device for object tracking receives an image from a camera, where the image shows a set of points on a calibration board placed on a platform. The device determines a pixel location array that comprises pixel locations associated with the points in the image. The device determines, by applying a first homography to the pixel location array, a calculated location array identifying calculated physical location coordinates of the set of points in the global plane. The device determines that the difference between a reference location array and the calculated location array is more than a threshold value. In response, the device determines that the camera and/or the platform has moved from a respective initial location when the first homography was determined. The device determines a second homography by multiplying an inverse of the pixel location array by the reference location array and calibrates the camera using the second homography.

    MACHINE LEARNING ALGORITHM TRAINED TO IDENTIFY ALGORITHMICALLY POPULATED SHOPPING CARTS AS CANDIDATES FOR VERIFICATION

    公开(公告)号:US20210166021A1

    公开(公告)日:2021-06-03

    申请号:US17104407

    申请日:2020-11-25

    申请人: 7-Eleven, Inc.

    IPC分类号: G06K9/00 G06N20/00 G06Q30/06

    摘要: An apparatus includes a memory and processor. The memory stores a machine learning algorithm configured to decide between using an algorithmic and a virtual cart to process a transaction. The processor receives feedback for a decision made by the algorithm, indicating whether the algorithmic and virtual carts match. The processor assigns a reward to the feedback. A first positive reward is assigned when the algorithmic cart is selected, and the feedback indicates that the carts match. A second positive reward is assigned when the virtual cart is selected, and the feedback indicates that the carts do not match. A first negative reward is assigned when the algorithmic cart is selected, and the feedback indicates that the carts do not match. A second negative reward is assigned when the virtual cart is selected, and the feedback indicates that the carts match. The processor uses the reward to update the algorithm.

    ADAPTIVE ITEM COUNTING ALGORITHM FOR WEIGHT SENSOR USING SENSITIVITY ANALYSIS OF THE WEIGHT SENSOR

    公开(公告)号:US20210125356A1

    公开(公告)日:2021-04-29

    申请号:US17105121

    申请日:2020-11-25

    申请人: 7-Eleven, Inc.

    摘要: A system includes a weight sensor and a weight server. The weight sensor generates a signal indicative of a weight of at least one of an item. The weight server detects an event corresponding to a weight change on the weight sensor when a quantity of the item is removed from the weight sensor. The weight server determines the item quantity by calculating a result of dividing the weight change over a unit weight of the item. If the result is within a threshold range from an integer that is closest to the result, the weight server determines that a quantity of the item with the amount of the integer is removed from the weight sensor. If the result is not within the threshold range from the integer, the weight server uses weight change patterns of historically observed signals to determine item quantity that was removed from the weight sensor.