公开(公告)号：US20230111765A1

公开(公告)日：2023-04-13

申请号：US17500833

申请日：2021-10-13

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： Zong Sheng Tang ,  Ariel Beck ,  Khai Jun Kek ,  Chandra Suwandi Wijaya

IPC: G06K9/62

Abstract: The present subject matter describes a method for labeling data in a computing system based on artificial intelligent techniques. The method comprises receiving input data and ordering the received input-data in a plurality of classes inferred based on at-least one of clustering and anomaly detection. The method further comprises receiving one more manual annotated labels for the ordered data. A first machine-learning (ML) model is trained with respect to the ordered data and thereby generating new labels. The performance of the first ML model is computed based on a comparison between the manual labels and the new labels. The labels are automatically propagated to unlabelled-portion of the ordered data based on execution of the first ML model based on accuracy of first ML model being above a predefined threshold.

公开(公告)号：US11521313B2

公开(公告)日：2022-12-06

申请号：US17173822

申请日：2021-02-11

Applicant: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.

Inventor： Ariel Beck ,  Chandra Suwandi Wijaya ,  Athul M. Mathew ,  Nway Nway Aung ,  Ramdas Krishnakumar ,  Zong Sheng Tang ,  Yao Zhou ,  Pradeep Rajagopalan ,  Yuya Sugasawa

IPC: G06V10/75 ,  G06T7/00 ,  G06V10/60 ,  G06V10/46

Abstract: A method and system for checking data gathering conditions or image capturing conditions associated with images during AI based visual-inspection process. The method comprises generating a first representative (FR1) image for a first group of images and a second representative image (FR2) for a second group of images. A difference image data is generated between FR1 image and the FR2 image based on calculating difference between luminance values of pixels with same coordinate values. Thereafter, one or more of a plurality of white pixels or intensity-values are determined within the difference image based on acquiring difference image data formed of luminance difference-values of pixels. An index representing difference of data-capturing conditions across the FR1 image and the FR2 image is determined, said index having been determined at least based on the plurality of white pixels or intensity-values, for example, based on application of a plurality of AI or ML techniques.