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公开(公告)号：US20250094749A1
公开(公告)日：2025-03-20
申请号：US18969074
申请日：2024-12-04
Applicant: Maplebear Inc.
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：US20250058814A1
公开(公告)日：2025-02-20
申请号：US18937402
申请日：2024-11-05
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 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). 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 and orientation of the one or more wheels. The shopping cart's tracking system calculates a translation traveled by the shopping cart from the 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 baseline location and the translation. The shopping cart provides functionality with the estimated location.
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公开(公告)号：US20240054449A1
公开(公告)日：2024-02-15
申请号：US17936232
申请日：2022-09-28
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Lin Gao , Yilin Huang , Shiyuan Yang , Hao Wu , Ganglu Wu , Xiao Zhou
CPC classification number: G06Q10/087 , G06V20/52
Abstract: An online concierge system may use images received from shopping carts within retailers to determine the availability of items within those retailers. A shopping cart includes externally-facing cameras that automatically capture images of the area around the shopping cart as the shopping cart travels through a retailer. The online concierge system receives these images, which depict displays within the retailers from which a picker or a retailer patron can collect items. The online concierge system determines which items should be depicted in the images and which items are actually depicted in the images. The online concierge system identifies which items should be depicted, but are not depicted, and determines that these items are unavailable (e.g., out of stock) at that retailer. The online concierge system updates an availability database to indicate that these items are unavailable and may notify the retailer that the item is unavailable.
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公开(公告)号：US20240034381A1
公开(公告)日：2024-02-01
申请号：US17936226
申请日：2022-09-28
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Lin Gao , Yilin Huang , Shiyuan Yang , Jianbo Meng , Yakun Li , Linhua Luo , Weiting Chen
CPC classification number: B62B5/0096 , B62B3/1424 , G06Q30/06
Abstract: An automated checkout system uses a shopping cart that is automatically charged when stacked into another shopping cart. Each shopping cart has a front charging connector and a rear charging connector. When a first shopping cart is stacked into a second shopping cart, the front charging connector of the first shopping cart connects with the rear charging connector of the second shopping cart. Electrical power can flow to the first shopping cart via the second shopping cart to charge a battery of the first shopping cart. The second shopping cart may be similarly stacked into a third shopping cart, wherein the second shopping cart receives electrical power from the third shopping cart. The second shopping cart may use this electrical power to charge its own battery or may provide some or all of the electrical power to the first shopping cart to charge the first shopping cart's battery.
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公开(公告)号：US20240013185A1
公开(公告)日：2024-01-11
申请号：US17874987
申请日：2022-07-27
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Lin Gao , Yilin Huang , Shiyuan Yang , Ganglu Wu , Yang Wang , Wentao Pan
CPC classification number: G06Q20/208 , G06V10/803 , G01G19/40 , G01G19/12
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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Patent Agency Ranking
公开(公告)号：US20240001981A1
公开(公告)日：2024-01-04
申请号：US17873526
申请日：2022-07-26
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Lin Gao , Yilin Huang , Shiyuan Yang , Xiaofei Zhou , Kaiyang Chu , Sikun Zhu
CPC classification number: B62B5/0096 , B62B3/1424 , H04W4/029
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：USD1066853S1
公开(公告)日：2025-03-11
申请号：US29875486
申请日：2023-05-05
Applicant: Maplebear Inc.
Designer： YanYing Tai , Xin Wang , Yilin Huang , Lin Gao , Weiting Chen , Zhouliang Cao , Liang Yang , Linhua Luo
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公开(公告)号：US20250029082A1
公开(公告)日：2025-01-23
申请号：US18906012
申请日：2024-10-03
Applicant: Maplebear Inc.
Inventor： Lin Gao , Yilin Huang , Shiyuan Yang , Ahmed Beshry
IPC: G06Q20/18 , B62B3/14 , G06K7/10 , G06K7/14 , G06N3/042 , G06N3/044 , G06N3/045 , G06N3/08 , G06N5/01 , G06N5/022 , G06Q20/20 , G06Q20/40 , G07G1/00 , G07G1/14 , G07G3/00
Abstract: Disclosed herein relates to a self-checkout anti-theft vehicle system, comprising: a self-checkout vehicle having a plurality of sensors and components implemented thereon, the self-checkout vehicle being used by shoppers for storing selected merchandises in a retail environment; and a centralized computing device. The centralized computing device is configured to: obtain information related to each merchandise selected and placed into the self-checkout vehicle by a shopper by exchanging data with the plurality of sensors and components via a first communication network, identify each merchandise via a second, different communication network based at least upon the information obtained from the plurality of sensors and components, and process payment information of each merchandise.
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公开(公告)号：US20240013184A1
公开(公告)日：2024-01-11
申请号：US17874956
申请日：2022-07-27
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Yilin Huang , Ganglu Wu , Xiao Zhou , Youming Luo , Shiyuan Yang
IPC: G06Q20/20 , G06V10/778 , G06V10/25 , G06V20/50
CPC classification number: G06Q20/208 , G06V10/778 , G06V10/25 , G06V20/50
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：US11453426B2
公开(公告)日：2022-09-27
申请号：US16995157
申请日：2020-08-17
Applicant: Maplebear Inc.
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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