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公开(公告)号：US20220410955A1
公开(公告)日：2022-12-29
申请号：US17821876
申请日：2022-08-24
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Lin Gao , Michael Joseph Sanzari , Yilin Huang , Shiyuan Yang , Ahmed Beshry
Abstract: Disclosed herein relates to a system, comprising: at least one load receiver mounted on a shopping cart or basket and configured to receive an item placed into the shopping cart or basket for a weighing operation; a plurality of sensors configured to detect a plurality of parameters relating to the weighing operation of the item including at least one of: a relative angle between a force sensing axis of the at least one load receiver and a direction of gravity, a motion of the shopping cart or basket, and an ambient temperature surrounding the shopping cart or basket and the at least one load receiver; and a processor configured to determine an actual weight of the item based on at least a portion of the plurality of parameters.
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公开(公告)号：US20220309264A1
公开(公告)日：2022-09-29
申请号：US17703076
申请日：2022-03-24
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Shiyuan Yang , Yilin Huang , Wentao Pan , Xiao Zhou
Abstract: A barcode decoding system decodes item identifiers from images of barcodes. The barcode decoding system receives an image of a barcode and rotates the image to a pre-determined orientation. The barcode decoding system also may segment the barcode image to emphasize the portions of the image that correspond to the barcode. The barcode decoding system generates a binary sequence representation of the item identifier encoded in the barcode by applying a barcode classifier model to the barcode image, and decodes the item identifier from the barcode based on the binary sequence representation.
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公开(公告)号：US20250104040A1
公开(公告)日：2025-03-27
申请号：US18974543
申请日：2024-12-09
Applicant: Maplebear Inc.
Inventor： Yilin Huang , Ganglu Wu , Xiao Zhou , Youming Luo , Shiyuan Yang
Abstract: A smart shopping cart includes internally facing cameras and an integrated scale to identify objects that are placed in the cart. To avoid unnecessary processing of images that are irrelevant, and thereby save battery life, the cart uses the scale to detect when an object is placed in the cart. The cart obtains images from a cache and sends those to an object detection machine learning model. The cart captures and sends a load curve as input to the trained model for object detection. Labeled load data and labeled image data are used by a model training system to train the machine learning model to identify an item when it is added to the shopping cart. The shopping cart also uses weight data and the image data from a timeframe associated with the addition of the item to the cart as inputs.
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公开(公告)号：US12227219B2
公开(公告)日：2025-02-18
申请号：US17873526
申请日：2022-07-26
Applicant: Maplebear Inc.
Inventor： Lin Gao , Yilin Huang , Shiyuan Yang , Xiaofei Zhou , Kaiyang Chu , Sikun Zhu
Abstract: A shopping cart's tracking system determines a first baseline location of the shopping cart at a first timestamp with a wireless device located on the shopping cart detecting one or more external wireless devices (e.g., RFID tags) in the indoor environment. The shopping cart's tracking system receives wheel motion data from one or more wheel sensors coupled to one or more wheels of the shopping cart, wherein the wheel motion data describes rotation of the one or more wheels. The shopping cart's tracking system calculates a translation traveled by the shopping cart from the first baseline location based on the wheel motion data. The shopping cart's tracking system determines an estimated location of the shopping cart at a second timestamp based on the first baseline location and the translation. With the estimated location, the shopping cart can update a map with the estimated location of the shopping cart.
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公开(公告)号：US12050960B2
公开(公告)日：2024-07-30
申请号：US17703076
申请日：2022-03-24
Applicant: Maplebear Inc.
Inventor： Shiyuan Yang , Yilin Huang , Wentao Pan , Xiao Zhou
CPC classification number: G06K7/1413 , G06T7/10 , G06F2218/12 , G06T2207/20081
Abstract: A barcode decoding system decodes item identifiers from images of barcodes. The barcode decoding system receives an image of a barcode and rotates the image to a pre-determined orientation. The barcode decoding system also may segment the barcode image to emphasize the portions of the image that correspond to the barcode. The barcode decoding system generates a binary sequence representation of the item identifier encoded in the barcode by applying a barcode classifier model to the barcode image, and decodes the item identifier from the barcode based on the binary sequence representation.
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Patent Agency Ranking
公开(公告)号：US20240202475A1
公开(公告)日：2024-06-20
申请号：US18587719
申请日：2024-02-26
Applicant: Maplebear Inc.
Inventor： Ganglu Wu , Shiyuan Yang , Xiao Zhou , Qi Wang , Qunwei Liu , Youming Luo
IPC: G06K7/14 , G06Q30/0601 , G06T9/00 , G06V10/25
CPC classification number: G06K7/1413 , G06Q30/0633 , G06Q30/0641 , G06T9/00 , G06V10/25 , G06V2201/07
Abstract: An automated checkout system modifies received images of machine-readable labels to improve the performance of a label detection model that the system uses to decode item identifiers encoded in the machine-readable labels. For example, the automated checkout system may transform subregions of an image of a machine-readable label to adjust for distortions in the image's depiction of the machine-readable label. Similarly, the automated checkout system may identify readable regions within received images of machine-readable labels and apply a label detection model to those readable regions. By modifying received images of machine-readable labels, these techniques improve on existing computer-vision technologies by allowing for the effective decoding of machine-readable labels based on real-world images using relatively clean training data.
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公开(公告)号：US11908290B2
公开(公告)日：2024-02-20
申请号：US17323031
申请日：2021-05-18
Applicant: Maplebear Inc.
Inventor： Lin Gao , Shiyuan Yang
IPC: G07G1/14 , A47F9/04 , G01G19/415 , G01G21/22 , G06Q20/20 , G07G1/00 , G06V20/40 , G06V20/52 , G06V20/68
CPC classification number: G07G1/14 , A47F9/048 , G01G19/415 , G01G21/22 , G06Q20/208 , G06V20/44 , G07G1/0072 , G06V20/52 , G06V20/68
Abstract: 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.
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公开(公告)号：US20240043057A1
公开(公告)日：2024-02-08
申请号：US18489792
申请日：2023-10-18
Applicant: Maplebear Inc.
Inventor： Lin Gao , Michael Joseph Sanzari , Yilin Huang , Shiyuan Yang , Ahmed Beshry
CPC classification number: B62B5/00 , B62B3/1468 , G01G21/00 , G01G19/12 , B62B2203/50
Abstract: Disclosed herein relates to a system, comprising: at least one load receiver mounted on a shopping cart or basket and configured to receive an item placed into the shopping cart or basket for a weighing operation; a plurality of sensors configured to detect a plurality of parameters relating to the weighing operation of the item including at least one of: a relative angle between a force sensing axis of the at least one load receiver and a direction of gravity, a motion of the shopping cart or basket, and an ambient temperature surrounding the shopping cart or basket and the at least one load receiver; and a processor configured to determine an actual weight of the item based on at least a portion of the plurality of parameters.
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公开(公告)号：US11827263B2
公开(公告)日：2023-11-28
申请号：US17821876
申请日：2022-08-24
Applicant: Maplebear Inc.
Inventor： Lin Gao , Michael Joseph Sanzari , Yilin Huang , Shiyuan Yang , Ahmed Beshry
CPC classification number: B62B5/00 , B62B3/1468 , G01G19/12 , G01G21/00 , B62B2203/50
Abstract: Disclosed herein relates to a system, comprising: at least one load receiver mounted on a shopping cart or basket and configured to receive an item placed into the shopping cart or basket for a weighing operation; a plurality of sensors configured to detect a plurality of parameters relating to the weighing operation of the item including at least one of: a relative angle between a force sensing axis of the at least one load receiver and a direction of gravity, a motion of the shopping cart or basket, and an ambient temperature surrounding the shopping cart or basket and the at least one load receiver; and a processor configured to determine an actual weight of the item based on at least a portion of the plurality of parameters.
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公开(公告)号：US12283165B2
公开(公告)日：2025-04-22
申请号：US18408893
申请日：2024-01-10
Applicant: Maplebear Inc.
Inventor： Lin Gao , Shiyuan Yang
IPC: G01G19/415 , A47F9/04 , G01G21/22 , G06Q20/20 , G06V20/20 , G06V20/40 , G07G1/00 , G07G1/14 , G06V20/52 , G06V20/68
Abstract: 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.
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