TARGET IDENTIFICATION METHOD, DEVICE AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20240193929A1

    公开(公告)日:2024-06-13

    申请号:US18536287

    申请日:2023-12-12

    CPC classification number: G06V10/82 G06V10/7715 G06V2201/07

    Abstract: A target identification method includes: obtaining an image containing a target to be identified; performing feature extraction on the image to obtain image features in the image; and inputting the image features into a target identification network model to obtain an identification result that determines a class to which the target to be identified belongs. The target identification network model includes a loss function that is based on intra-class constraints and inter-class constraints. The intra-class constraints are to constrain an intra-class distance between sample image features of a sample target and a class center of a class to which the sample target belongs, and the inter-class constraints are to constrain inter-class distances between class centers of different classes, and/or inter-class angles between the class centers of different classes.

    Location tracking system using a plurality of cameras

    公开(公告)号:US12008808B1

    公开(公告)日:2024-06-11

    申请号:US18352330

    申请日:2023-07-14

    Applicant: TP Lab, Inc.

    CPC classification number: G06V20/20 G06F16/787 H04W4/029 G06V2201/07

    Abstract: A tracking system obtains first recognized object and associated first information being detected in at least one image captured by camera(s). First information includes first recognized object's first feature(s), first additional feature(s) derived from the first feature(s), first location(s) of first feature(s), and first real-world dimensions. A list of tracking objects is obtained, each including second recognized object and associated second information. Second information including second recognized object's second feature(s), second additional feature(s) derived from second feature(s), second location(s) of second feature(s), and second real-world dimensions. The system compares first additional feature(s) with second additional feature(s) stored in given tracking object, first location(s) with second location(s) stored in given tracking object, and first real-world dimensions with second real-world dimensions stored in given tracking object. When they match, the first information comprising first additional feature(s) are stored in given tracking object.

    SYSTEMS AND METHODS FOR INVENTORY MANAGEMENT
    316.
    发明公开

    公开(公告)号:US20240185176A1

    公开(公告)日:2024-06-06

    申请号:US18282309

    申请日:2022-03-14

    CPC classification number: G06Q10/087 G06Q10/063114 G06V20/60 G06V2201/07

    Abstract: In some embodiments, apparatuses and methods are provided herein useful to inventory management. In some embodiments, an inventory management system comprises inventory items having attached fiducial markers, a control circuit, and an application executed on a mobile device operable by a user. The mobile application is configured to present a real-world view of inventory items within a camera's field of view, capture information associated, with the fiducial markers, and transmit this information to the control circuit. The control circuit is configured to apply one or more information filters to identify inventory items having specified, attributes and transmit these identifications to the mobile application. The mobile application is configured to present an augmented view of the inventory items by displaying indications over the inventory items having the specified attributes to identify to the user which items require attention.

    Information completion apparatus, method and program

    公开(公告)号:US12003762B2

    公开(公告)日:2024-06-04

    申请号:US17613464

    申请日:2019-05-28

    CPC classification number: H04N19/577 G06V20/40 G06V2201/07

    Abstract: A technique for interpolating positional information of a target in an image of a frame in which positional information of the target has not been acquired. An information interpolation device includes: a target information acquisition unit 4 acquiring target information that is information related to a target in an image of each frame composing an input video; an indicator determination unit 5 determining, based on the target information, an indicator indicating validity as a starting frame for each frame, the starting frame starting predetermined image processing on a target; a starting frame determination unit 6 determining a starting frame based on the determined indicator; and a target information interpolation unit 7 interpolating, when a frame in which positional information of a target is not included in target information exists among frames within a predetermined number from the determined starting frame, positional information of the target of the frame that does not include the positional information of the target by using positional information of the target included in target information of a frame other than the frame that does not include the positional information of the target.

    Systems and methods for identifying inclined regions

    公开(公告)号:US12002228B2

    公开(公告)日:2024-06-04

    申请号:US17402170

    申请日:2021-08-13

    Inventor: Priyank Sameer

    Abstract: Systems and methods for identifying inclined regions are provided. In one aspect, a method is provided that includes receiving shadow data for at least one first ground object in a first region, wherein each first ground object is depicted in one overhead image of the first region, wherein the shadow data comprises a length of the respective first ground object as identified from the respective overhead image; receiving shadow data for at least one second comparable ground object in a second region, wherein each second ground object is depicted in one overhead image of the second region, wherein the shadow data comprises a length of the respective second ground object as identified from the respective overhead image; calculating a statistical measure describing the variability of the shadow lengths between objects in the first region and the second region; comparing the statistical measure to a predetermined threshold; and based on the comparison, identifying that the first region is inclined relative to the second region.

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