Positioning method and device, and storage medium

    公开(公告)号:US12033345B2

    公开(公告)日:2024-07-09

    申请号:US17463771

    申请日:2021-09-01

    Abstract: A positioning method including: acquiring a gray-scale image of an object to be measured to determine a gray-scale value of each pixel on the gray-scale image; determining a target area to be measured and a first gray-scale change area adjacent to the target area to be measured based on the gray-scale value of each pixel; determining a target gray-scale value based on a gray-scale value of the target area to be measured and a gray-scale value of each pixel in the first gray-scale change area; determining target pixels that conform to the target gray-scale value in the first gray-scale change area, to use the target pixels as actual edge pixels of the target area to be measured; and determining a relative distance between a center position of the target area to be measured and a reference position, to obtain position information of the target area.

    OBJECTS AUTOMATIC LABELING METHOD AND SYSTEM APPLYING THE SAME

    公开(公告)号:US20240212372A1

    公开(公告)日:2024-06-27

    申请号:US18086976

    申请日:2022-12-22

    CPC classification number: G06V20/70 G06T7/70 G06V10/751 G06V10/771 G06V2201/06

    Abstract: An automatic objects labeling method includes: capturing M consecutive image frames at one station of an assembly line. Performing an object detection step which includes selecting a detection image frame that displays an operation using a work piece against a target object from the M consecutive image frames; and calibrating the position range of the target object in the detection image frame; retracing from the detection image frame to select an Nth retraced image frame from the M consecutive image frames; obtaining a labeled image of the target object from the Nth retraced image frame according to the position range; comparing the labeled image with images of the M consecutive image frames to find at least one other labeled image similar to the target object; and storing both the labeled image and the at least one other labeled image as the same labeled data set.

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