公开(公告)号：US20190034700A1

公开(公告)日：2019-01-31

申请号：US16068953

申请日：2017-01-25

Applicant: GOERTEK INC.

Inventor： Fuli XIE

IPC: G06K9/00 ,  G06T7/73 ,  G06T7/13

Abstract: A method and device for face tracking and a smart terminal. The method includes: collecting a frame of an image in a video stream and conducting face detection and identification, to identify a target face; determining a position of a window to be tracked that contains the target face according to the identified target face, and extracting an edge feature point in the window to be tracked of the reference frame; determining an initial position of a window to be tracked on the current frame in the video stream, and extracting an edge feature point in the window to be tracked of the current frame; calculating a relative displacement between the edge feature point of the reference frame and the edge feature point of the current frame; and adjusting the initial position of the window to be tracked of the current frame by using the relative displacement.

公开(公告)号：US20220309764A1

公开(公告)日：2022-09-29

申请号：US17275800

申请日：2020-08-26

Applicant: GOERTEK INC.

Inventor： Jie LIU ,  Jifeng TIAN ,  Fuli XIE ,  Shunran DI ,  Yifan ZHANG

IPC: G06V10/764 ,  G06V10/82 ,  G06V10/26 ,  G06N3/08

Abstract: A method and device for small sample defect classification and a computing equipment are disclosed. The method comprises: separating a target to be tested into parts, and segmenting an original image of the target to be tested into at least two sub-images containing different parts according to the separated parts; establishing small sample classification models with respect to each sub-image and the original image respectively, and obtaining a classification result of each sub-image and a classification result of the original image by using corresponding classification models, wherein the classification result includes a defect category and a corresponding category probability; and determining and outputting a defect category of the target to be tested according to classification results of all the sub-images and the original image.

公开(公告)号：US20180006840A1

公开(公告)日：2018-01-04

申请号：US15540808

申请日：2016-09-05

Applicant: Goertek Inc.

Inventor： Pengcheng SU ,  Fuli XIE

IPC: H04L12/28 ,  G06F3/01

CPC classification number: H04L12/2816 ,  G06F1/163 ,  G06F1/1694 ,  G06F3/017 ,  H04L12/2807 ,  H04L12/2809 ,  H04L12/282 ,  H04L12/2832 ,  H04L2012/2841 ,  H04L2012/285

Abstract: A wearable device and a controlling method thereof, and a system for controlling a smart home. The wearable device comprises: a hand gesture identifying module, for by characteristic data to be identified of a wearer that is collected by a sensor, identifying out a current hand gesture action of the wearer; an appliance configuring module, for according to acquired information of each of household electrical appliances, establishing and saving correspondence relations between controlling commands of each of the household electrical appliances and corresponding hand gesture actions; and upon receiving the hand gesture action, looking up the household electrical appliance and the controlling command that match the hand gesture action by using the correspondence relations, generating a controlling message according to the matched information; a wirelessly connecting module, for receiving the controlling message and wirelessly sending the controlling message to a smart home controlling server.

公开(公告)号：US20220309635A1

公开(公告)日：2022-09-29

申请号：US17309306

申请日：2020-10-24

Applicant: GOERTEK INC.

Inventor： Fuli XIE ,  Yifan ZHANG ,  Jie LIU ,  Jifeng TIAN

IPC: G06T7/00 ,  G06T7/11 ,  G06T3/40

Abstract: A computer vision-based anomaly detection method and device and an electronic apparatus are disclosed. The method comprises: dividing a target picture into at least two feature regions according to different region features of the target picture, and forming training sets respectively using the feature regions corresponding to each target picture; selecting generative adversarial networks GAN as network models to be used, and training GAN network models with the training sets of different feature regions to obtain GAN network models corresponding to different feature regions; and when performing anomaly detection, performing same feature region division on a target picture to be detected, inputting different feature regions of the target picture to be detected into corresponding GAN network models to obtain a generated picture, and performing pixel value-based difference detection on the generated picture and the target picture to be detected.

公开(公告)号：US20220309640A1

公开(公告)日：2022-09-29

申请号：US17309407

申请日：2020-08-26

Applicant: GOERTEK INC.

Inventor： Jie LIU ,  Jifeng TIAN ,  Fuli XIE ,  Shunran DI ,  Yifan ZHANG

IPC: G06T7/00 ,  G06V10/70 ,  G01N21/88

Abstract: A product defect detection method, device and system are disclosed. The method comprises: acquiring a sample image of a product, extracting candidate image blocks probably including a product defect from the sample image, and extracting preset shape features corresponding to the candidate image blocks and texture features corresponding to the candidate image blocks; training a first-level classifier using the preset shape features to obtain a first-level classifier that can further screen out target image blocks probably including a product defect from the candidate image blocks; training a second-level classifier using the texture features to obtain a second-level classifier that can correctly identify a product defect; and when performing product defect detection, inputting preset shape features of candidate image blocks extracted from a product image into the first-level classifier, and then inputting texture features of obtained target image blocks into the second-level classifier to detect a defect in the product.

公开(公告)号：US20190184233A1

公开(公告)日：2019-06-20

申请号：US16327597

申请日：2017-07-20

Applicant: GOERTEK INC.

Inventor： Fuli XIE ,  Yifan YANG

IPC: A63B24/00 ,  A61B5/11 ,  A61B5/00 ,  A63B71/06

CPC classification number: A63B24/0062 ,  A61B5/11 ,  A61B5/1121 ,  A61B5/7203 ,  A61B5/7246 ,  A61B5/725 ,  A61B2503/10 ,  A63B71/06 ,  A63B71/0619 ,  A63B2024/0068 ,  A63B2208/03 ,  A63B2220/40 ,  A63B2220/836 ,  A63B2244/20

Abstract: A method for monitoring a swimming state by using a wearable device and a wearable device are provided. The method includes: providing a swimming mode in the wearable device, and storing standard swimming stroke data that have been collected in advance as corresponding template data, when a monitoring process starts, activating the swimming mode according to an instruction given by a user who will immediately enter water, and after the swimming mode has been activated, controlling a sensor to collect swimming stroke data of the user; obtaining test data for identifying a swimming state of the user from the swimming stroke data; and matching the test data with each template data, and when the test data that are successfully matched the template data exist, identifying the swimming state of the user to be the swimming state that corresponds to the template data associated with the test data that are successfully matched.