Detecting interactions with inventory locations

    公开(公告)号:US12205408B1

    公开(公告)日:2025-01-21

    申请号:US17335595

    申请日:2021-06-01

    Abstract: This disclosure describes, in part, techniques for identifying interactions and events associated with inventory locations. For instance, system(s) may receive image data representing a user interacting with an inventory location. The system(s) may then generate heatmap data indicating a first portion of the image data that represents the inventory location and feature data indicating a second portion of the image data that represents the user. Next, the system(s) may analyze the heatmap data with respect to the feature data to determine that the second portion of the image data corresponds to the first portion of the image data. As such, the system(s) may determine that the user is interacting with the inventory location. Based on the determination, the system(s) may analyze the first portion of the image data to identify an event that occurs at the inventory location, such as the user removing an item.

    Using sensor data to determine activity

    公开(公告)号:US12190639B1

    公开(公告)日:2025-01-07

    申请号:US18504814

    申请日:2023-11-08

    Abstract: This disclosure is directed to, in part, a processing pipeline for detecting predefined activity using image data, identifying an item-of-interest and a location of the item-of-interest across frames of the image data, determining a trajectory of the item-of-interest, and determining an identifier of the item-of-interest and an action taken with respect to the item-of-interest. The processing pipeline may utilize one or more trained classifiers and, in some instances, additional data to identify items that are placed into or removed from a tote (e.g., basket, cart, or other receptacle) by users in material handling facilities as the users move around the material handling facilities.

    IDENTIFYING ITEMS USING CASCADING ALGORITHMS

    公开(公告)号:US20230069472A1

    公开(公告)日:2023-03-02

    申请号:US17898212

    申请日:2022-08-29

    Abstract: This disclosure is directed to using cascading algorithms to automatically identify items placed in a tote or other receptacle utilized by users in material handling facilities as the users move around the facilities. A tote may store a database or “gallery” of item representations for all of the items that are stored in the facility that a user may place in their totes. The tote may use multiple algorithms in a cascading manner to analyze the gallery of item representations in order to iteratively narrow the search space of item representations in the gallery to determine which of the items was placed in the tote by a user. Upon identifying the item placed in the tote, the tote may add an item identifier for the item to a virtual listing of item identifiers representing items previously placed in the tote.

    System for generating tags
    7.
    发明授权

    公开(公告)号:US11599737B1

    公开(公告)日:2023-03-07

    申请号:US17225407

    申请日:2021-04-08

    Abstract: A tag with sufficient variability is generated. The tag facilitates quick location and processing within a facility. During generation, a matrix representative of a possible tag may be tested for sufficient variability. A two-dimensional matrix representing the possible tag may include different bit values at different positions. A variability metric of the matrix is performed to check the variability between adjacent elements of the matrix. This variability metric of the matrix is then compared against a variability threshold value. If the variability metric of the matrix falls below the threshold value, the matrix is flagged as unusable. If the variability metric of the matrix exceeds the threshold value, the matrix can be used to generate a tag with sufficient variability. Once generated, the tag can be presented and affixed to an item or object to help identify and locate the item within the facility.

    System for reading tags
    8.
    发明授权

    公开(公告)号:US10346659B1

    公开(公告)日:2019-07-09

    申请号:US15927561

    申请日:2018-03-21

    Abstract: Tags comprising marks arranged in a predetermined pattern are applied to an item. The marks are made with an ink that fluoresces under infrared (IR) light. A camera with a filter acquires an image of the light emitted by the fluorescence of the ink. This image is processed to determine a portion of the image in which the tag is located. Once located, that portion is processed to rectify and align the tag. This rectified image is then processed to read out tag data that is encoded by the arrangement of marks. The tag data may then be used to identify the item, designate shipping information, and so forth.

    Identifying item barcodes
    10.
    发明授权

    公开(公告)号:US11328147B1

    公开(公告)日:2022-05-10

    申请号:US17213031

    申请日:2021-03-25

    Abstract: This disclosure describes using trained classifiers and additional data to identify items placed into a tote. The techniques may use a first classifier on image data representing an item to determine a region associated with a barcode of the item and may use one or more second classifiers to analyze the region for determining a candidate barcode. The techniques may then determine whether the candidate barcode corresponds to the actual barcode of the item. If so, the techniques may update a virtual cart associated with a user account to indicate the acquisition of the item. If not, then the techniques may use the additional data for identifying the item. For example, the techniques determine a current location of a tote for determining items that are within a threshold distance of the location and may use this information, along with the candidate barcode, to identify the item placed into the tote.

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