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公开(公告)号:US11227157B1
公开(公告)日:2022-01-18
申请号:US17003287
申请日:2020-08-26
Inventor: Athul M. Mathew , Ariel Beck , Souksakhone Bounyong , Eng Chye Lim , Khai Jun Kek
IPC: G06K9/00
Abstract: A system for gaze direction detection is disclosed herein. The system comprises a face detection unit configured to detect face information from a captured image of a spectator, a head pose unit configured to detect a head pose angle based on the face information; an eye measurement unit configured to detect eye information of at-least one of a left eye or a right eye of the spectator based on the detected face information; an eye-gaze detection unit configured to estimate a gaze angle of the at-least one of the left eye or the right eye of the subject based on the eye information; a conditional gaze detection unit configured to calculate a resultant gaze angle based on the estimated gaze angles of the left eye and right eye and the head pose angle; and an effective gaze detection unit configured to estimate an effective gaze angle based the resultant gaze angle and head-pose angle.
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公开(公告)号:US11521313B2
公开(公告)日:2022-12-06
申请号:US17173822
申请日:2021-02-11
Inventor: Ariel Beck , Chandra Suwandi Wijaya , Athul M. Mathew , Nway Nway Aung , Ramdas Krishnakumar , Zong Sheng Tang , Yao Zhou , Pradeep Rajagopalan , Yuya Sugasawa
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.
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