公开(公告)号：US11741593B2

公开(公告)日：2023-08-29

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: G06V10/70 ,  G06T7/00 ,  G01N21/88

CPC classification number: G06T7/0004 ,  G01N21/8851 ,  G06V10/70 ,  G06T2207/10004 ,  G06T2207/20081 ,  G06T2207/30108

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：US11406291B2

公开(公告)日：2022-08-09

申请号：US15762102

申请日：2017-09-27

Applicant: Goertek Inc.

Inventor： Yifan Zhang ,  Fuli Xie

IPC: A61B5/11 ,  A61B5/00 ,  G16H40/63 ,  G16H50/20 ,  G16H20/30

Abstract: The application discloses a method for monitoring a user gesture and a wearable device. The method comprises: providing an inertial sensor in a wearable device, the wearable device being located on the head of a user when being worn; monitoring movement data of the head of the user in real time, by using the inertial sensor, when the user is wearing the wearable device; conducting gesture solving by using the movement data to obtain gesture data of the head of the user; determining whether a head gesture of the user is a correct gesture according to the gesture data and a preset strategy; and sending a reminder to the user when the head gesture of the user is an incorrect gesture.

公开(公告)号：US12002195B2

公开(公告)日：2024-06-04

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 ,  G06T3/40 ,  G06T7/11

CPC classification number: G06T7/001 ,  G06T3/40 ,  G06T7/11 ,  G06T2207/20081 ,  G06T2207/20084

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：US11836967B2

公开(公告)日：2023-12-05

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

CPC classification number: G06V10/764 ,  G06N3/08 ,  G06V10/26 ,  G06V10/82

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：US11747155B2

公开(公告)日：2023-09-05

申请号：US17593618

申请日：2020-10-24

Applicant: GOERTEK INC.

Inventor： Xueqiang Wang ,  Yifan Zhang ,  Libing Zou ,  Baoming Li

IPC: G01C21/34 ,  G05B13/02

CPC classification number: G01C21/3446 ,  G05B13/027

Abstract: A global path planning method and device for an unmanned vehicle are disclosed. The method comprises: establishing an object model through a reinforcement learning method, wherein the object model includes: a state of the unmanned vehicle, an environmental state described by a map picture, and an evaluation index of a path planning result; building a deep reinforcement learning neural network based on the object model established, to obtain a stable neural network model; inputting the map picture of the environment state and the state of the unmanned vehicle into the deep reinforcement learning neural network after trained, and generating a motion path of the unmanned vehicle. According to the present disclosure, the environment information in the scene is marked through the map picture, and the map features are extracted through the deep neural network, thereby simplifying the modeling process of the map scene.

公开(公告)号：US12051233B2

公开(公告)日：2024-07-30

申请号：US17595079

申请日：2020-10-30

Applicant: GOERTEK INC.

Inventor： Libing Zou ,  Yifan Zhang ,  Baoming Li ,  Yue Ning

IPC: G06V10/774 ,  G06N3/084 ,  G06V10/46

CPC classification number: G06V10/774 ,  G06N3/084 ,  G06V10/46

Abstract: The present application discloses a method for filtering image feature points and a terminal. The method for filtering image feature points includes: providing quality score values to feature points extracted from an image, and according to the feature points and the quality score values of the feature points, training a neural-network model; after one time of filtering has started up, acquiring one frame of an original image and extracting feature points in the original image; inputting the original image and the feature points in the original image into the neural-network model, obtaining and outputting quality score values corresponding to the feature points in the original image; and according to the quality score values, filtering the feature points in the original image. The method for filtering image feature points can improve the success rate of the matching of the feature points in relocated application scenes, thereby improving the locating efficiency.

公开(公告)号：US12045061B2

公开(公告)日：2024-07-23

申请号：US17309922

申请日：2020-09-10

Applicant: GOERTEK INC.

Inventor： Xueqiang Wang ,  Yifan Zhang ,  Libing Zou ,  Fuqiang Zhang

IPC: G05D1/00 ,  G06N3/04 ,  G06N3/08 ,  G06N7/01

CPC classification number: G05D1/0221 ,  G05D1/0088 ,  G05D1/0214 ,  G05D1/0289 ,  G05D1/0297 ,  G06N3/04 ,  G06N3/08 ,  G06N7/01

Abstract: A multi-AGV motion planning method, device and system are disclosed. The method of the present disclosure comprises: establishing an object model through reinforcement learning; building a neural network model based on the object model, performing environment settings including AGV group deployment, and using the object model of the AGV in a set environment to train the neural network model until a stable neural network model is obtained; setting an action constraint rule; and after the motion planning is started, inputting the state of current AGV, states of other AGVs and permitted actions in a current environment into the neural network model after trained, obtaining the evaluation indexes of a motion planning result output by the neural network model, obtaining an action to be executed of the current AGV according to the evaluation indexes, and performing validity judgment on the action to be executed using the action constraint rule.

公开(公告)号：US12002198B2

公开(公告)日：2024-06-04

申请号：US17594142

申请日：2020-10-30

Applicant: GOERTEK INC.

Inventor： Shiyu Li ,  Yifan Zhang ,  Jifeng Tian

IPC: G06T7/90 ,  G06T3/02 ,  G06T7/00 ,  G06T11/00 ,  G06V30/14

CPC classification number: G06T7/001 ,  G06T3/02 ,  G06T7/90 ,  G06T11/001 ,  G06V30/1444 ,  G06T2207/20056 ,  G06T2207/30176

Abstract: A character defect detection method and device are disclosed. The character defect detection method comprises: acquiring an image to be inspected containing a character and a template character image corresponding to the character, and converting the image to be inspected into an image having a format consistent with a format of the template character image; extracting a first valid area containing the character from the image to be inspected, and extracting a second valid area containing a template character from the template character image; obtaining a first image based on the first valid area, and obtaining a second image based on the second valid area; calculating a transformed image indicating an information difference between the first image and the second image based on the first image and the second image; and obtaining a character defect detection result of the image to be inspected based on information of the transformed image.

公开(公告)号：US20190053738A1

公开(公告)日：2019-02-21

申请号：US15762102

申请日：2017-09-27

Applicant: Goertek Inc.

Inventor： Yifan Zhang ,  Fuli Xie

IPC: A61B5/11 ,  A61B5/00

Abstract: The application discloses a method for monitoring a user gesture and a wearable device. The method comprises: providing an inertial sensor in a wearable device, the wearable device being located on the head of a user when being worn; monitoring movement data of the head of the user in real time, by using the inertial sensor, when the user is wearing the wearable device; conducting gesture solving by using the movement data to obtain gesture data of the head of the user; determining whether a head gesture of the user is a correct gesture according to the gesture data and a preset strategy; and sending a reminder to the user when the head gesture of the user is an incorrect gesture.

公开(公告)号：US11295435B2

公开(公告)日：2022-04-05

申请号：US17250262

申请日：2020-08-29

Applicant: GOERTEK INC.

Inventor： Jie Liu ,  Jifeng Tian ,  Wenchao Zhang ,  Yifan Zhang

IPC: G06T7/00 ,  G06K9/64 ,  G06K9/62

Abstract: A product defect detection method, device and system are disclosed. The method comprises: constructing a defect detection framework including segmentation networks, a concatenating network and a classification network, and setting a quantity of the segmentation network according to product defect types, wherein each segmentation network corresponds to a defect type; concatenating the sample image with the mask image output by each segmentation network by using the concatenating network to obtain a concatenated image; training the classification network by using the concatenated images to obtain a classification network capable of correctly identifying a product defect and a defect type; and when performing product defect detection, inputting a product image acquired into the defect detection framework, and detecting a product defect and a defect type existing in the product by using the segmentation networks, the concatenating network and the classification network.