METHOD AND SYSTEM FOR PERFORMING IMAGE CLASSIFICATION FOR OBJECT RECOGNITION

    公开(公告)号:US20230128352A1

    公开(公告)日:2023-04-27

    申请号:US18145512

    申请日:2022-12-22

    Applicant: MUJIN, INC.

    Abstract: Systems and methods for classifying at least a portion of an image as being textured or textureless are presented. The system receives an image generated by an image capture device, wherein the image represents one or more objects in a field of view of the image capture device. The system generates one or more bitmaps based on at least one image portion of the image. The one or more bitmaps describe whether one or more features for feature detection are present in the at least one image portion, or describe whether one or more visual features for feature detection are present in the at least one image portion, or describe whether there is variation in intensity across the at least one image portion. The system determines whether to classify the at least one image portion as textured or textureless based on the one or more bitmaps.

    Robotic system with object identification and handling mechanism and method of operation thereof

    公开(公告)号:US10583560B1

    公开(公告)日:2020-03-10

    申请号:US16374617

    申请日:2019-04-03

    Applicant: Mujin, Inc.

    Abstract: A robotic system includes: a control unit configured to: receive an object set including one or more object entries, wherein: the object entries correspond to source objects of an object source, each of the object entries are described by one or more object entry properties; receive sensor information representing one or more detectable object properties for detectable source objects of an object source; calculate an object match probability between the detectable source objects and the object entries based on a property correlation between the detectable object properties of the detectable source objects and the object entry properties of the object entries; generate an object identity approximation for each of the detectable source objects based on a comparison between the object match probability for each of the detectable source objects corresponding to a particular instance of the object entries; select a target object from the detectable source objects; generate an object handling strategy, for implementation by an object handling unit, to transfer the target object from the object source based on the object entry properties of the object entries corresponding to the object identity approximation; update the object set to indicate that the target object corresponding to a specific instance of the object entries has been removed from the object source; and a storage unit 204, coupled to the control unit, configured to store the object set.

    Method and system for determining occlusion within a camera field of view

    公开(公告)号:US12219269B2

    公开(公告)日:2025-02-04

    申请号:US18591980

    申请日:2024-02-29

    Applicant: MUJIN, INC.

    Abstract: A system and method for determining occlusion are presented. The system receives camera data generated by at least one camera, which includes a first camera having a first camera field of view. The camera data is generated when a stack having a plurality of objects is in the first camera field of view, and describes a stack structure formed from at least an object structure for a first object of the plurality of objects. The system identifies a target feature of or disposed on the object structure, and determines a 2D region that is co-planar with and surrounds the target feature. The system determines a 3D region defined by connecting a location of the first camera and the 2D region. The system determines, based on the camera data and the 3D region, a size of an occluding region, and determines a value of an object recognition confidence parameter.

    Method and system for determining occlusion within a camera field of view

    公开(公告)号:US11924559B2

    公开(公告)日:2024-03-05

    申请号:US17228783

    申请日:2021-04-13

    Applicant: MUJIN, INC.

    CPC classification number: H04N23/80 H04N23/698 H04N23/81 B25J9/1612

    Abstract: A system and method for determining occlusion are presented. The system receives camera data generated by at least one camera, which includes a first camera having a first camera field of view. The camera data is generated when a stack having a plurality of objects is in the first camera field of view, and describes a stack structure formed from at least an object structure for a first object of the plurality of objects. The system identifies a target feature of or disposed on the object structure, and determines a 2D region that is co-planar with and surrounds the target feature. The system determines a 3D region defined by connecting a location of the first camera and the 2D region. The system determines, based on the camera data and the 3D region, a size of an occluding region, and determines a value of an object recognition confidence parameter.

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