公开(公告)号：US20220253995A1

公开(公告)日：2022-08-11

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: G06T7/00 ,  G06K9/62 ,  G06K9/46

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.

公开(公告)号：US20220409075A1

公开(公告)日：2022-12-29

申请号：US17358401

申请日：2021-06-25

Applicant: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.

Inventor： Ramdas KRISHNAKUMAR ,  Muhammad USMAN ,  Pradeep RAJAGOPALAN ,  Ariel BECK ,  Khai Jun KEK ,  Yasufumi SHIRAKAWA

IPC: A61B5/024 ,  A61B5/00 ,  A61B5/318

Abstract: A system (101) for monitoring a physiological condition of a user (104) is disclosed herein. The system (101) includes a receiving module (110) configured to receive a plurality of short-term segments of Heart Rate Variability (HMI) (302) or short-term electrocardiogram (ECG) segments (402) or short voice recordings (602) from the user (104) recorded at different time points. The system includes a stitching module (114) for stitching the plurality of short-term segments and creating a stitched segment. The system further includes an extracting module (116) extracting feature from the stitched segment and a predicting module (118) for predict the physiological condition, based on the feature.