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公开(公告)号：US11756185B2
公开(公告)日：2023-09-12
申请号：US17131936
申请日：2020-12-23
发明人： Guo Qiang Hu , Jun Chi Yan , Jun Zhu , Jing Chang Huang , Peng Ji
IPC分类号： G06K9/00 , G06T7/00 , G06T7/37 , G01N21/88 , G06V10/764 , G06V10/774 , G06V10/82
CPC分类号： G06T7/001 , G01N21/8851 , G06T7/37 , G06V10/764 , G06V10/774 , G06V10/82 , G01N2021/8887 , G06T2207/20081 , G06T2207/20084 , G06T2207/30108
摘要： Embodiments of the present invention facilitate product defect detection. A computer-implemented method comprises: receiving, by a device operatively coupled to one or more processors, a template image of a normal product; generating, by the device, one or more geometric training parameters for transforming the template image; and transforming, by the device, the template image using the one or more geometric training parameters to generate a transformed image for training a data model, wherein the trained data model being used for aligning the template image and an image under inspection of a product.
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公开(公告)号：US11630444B2
公开(公告)日：2023-04-18
申请号：US17107738
申请日：2020-11-30
发明人： Xinlin Wang , Guo Qiang Hu , Peng Ji , Jun Zhu
IPC分类号： G05B19/418 , G06N20/00 , G05B13/02 , G06N5/04
摘要： In an approach to AI empowered factory automation using an industrial IoT, responsive to receiving a new production task, production requirements are input into an AI engine. Equipment and software containers are selected based on the AI model. An orchestration service is created, where the orchestration service collaborates the equipment and the software containers.
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公开(公告)号：US11574438B2
公开(公告)日：2023-02-07
申请号：US17340865
申请日：2021-06-07
发明人： Hao Chen , Guo Qiang Hu , Qi Cheng Li , Li Jun Mei , Jian Wang , Yi Min Wang , Zi Yu Zhu
摘要： A method and system for generating a three-dimensional (3D) virtual scene are disclosed. The method includes: identifying a two-dimensional (2D) object in a 2D picture and the position of the 2D object in the 2D picture; obtaining the three-dimensional model of the 3D object corresponding to the 2D object; calculating the corresponding position of the 3D object corresponding to the 2D object in the horizontal plane of the 3D scene according to the position of the 2D object in the picture; and simulating the falling of the model of the 3D object onto the 3D scene from a predetermined height above the 3D scene, wherein the position of the landing point the model of the 3D object in the horizontal plane is the corresponding position of the 3D object in the horizontal plane of the 3D scene.
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公开(公告)号：US11341370B2
公开(公告)日：2022-05-24
申请号：US16692356
申请日：2019-11-22
发明人： Peng Ji , Guo Qiang Hu , Yuan Yuan Ding , Jun Zhu , Jing Chang Huang , Sheng Nan Zhu
摘要： The present disclosure relates to training a machine learning model to classify images. An example method generally includes receiving a training data set including images in a first category and images in a second category. A convolutional neural network (CNN) is trained using the training data set, and a feature map is generated from layers of the CNN based on features of images in the training data set. A first area in the feature map including images in the first category and a second area in the feature map where images in the first category overlap with images in the second category are identified. The first category is split into a first subcategory corresponding to the first area and a second subcategory corresponding to the second area. The CNN is retrained based on the images in the first subcategory, images in the second subcategory, and images in the second category.
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公开(公告)号：US10748554B2
公开(公告)日：2020-08-18
申请号：US16249654
申请日：2019-01-16
发明人： Jing Chang Huang , Guo Qiang Hu , Peng Ji , Jun Zhu
摘要： Embodiments facilitating audio source identification are provided. A computer-implemented method comprises: receiving, by a device operatively coupled to one or more processors, an audio signal under inspection; generating, by the device, an image of time-frequency spectrum of low frequency component and high frequency component of the audio signal; and identifying, by the device, a source of the audio signal based on the generated image and one or more patterns of time-frequency spectrum, wherein each of the one or more patterns is corresponding to low frequency feature and high frequency feature of a specific audio source.
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公开(公告)号：US20200227068A1
公开(公告)日：2020-07-16
申请号：US16249654
申请日：2019-01-16
发明人： Jing Chang Huang , Guo Qiang Hu , Peng Ji , Jun Zhu
摘要： Embodiments facilitating audio source identification are provided. A computer-implemented method comprises: receiving, by a device operatively coupled to one or more processors, an audio signal under inspection; generating, by the device, an image of time-frequency spectrum of low frequency component and high frequency component of the audio signal; and identifying, by the device, a source of the audio signal based on the generated image and one or more patterns of time-frequency spectrum, wherein each of the one or more patterns is corresponding to low frequency feature and high frequency feature of a specific audio source.
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公开(公告)号：US10706530B2
公开(公告)日：2020-07-07
申请号：US15700684
申请日：2017-09-11
发明人： Guo Qiang Hu , Jing Chang Huang , Jun Chi Yan , Jun Zhu
摘要： This disclosure provides a method for object detection. The method comprises receiving a user input that specifies one or more first regions and one or more second regions in a template image. The one or more second regions include one or more objects of interest. The method further comprises for each of the one or more first regions discovering a third region in an image under detection corresponding to the first region in the template image by matching the image under detection with the template image. The method further comprises computing a transformation function based on the matching from each of the one or more first regions to its corresponding third region. The method further comprises applying the computed transformation function to the one or more second regions to localize one or more fourth regions in the image under detection for the object detection.
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公开(公告)号：US20200151869A1
公开(公告)日：2020-05-14
申请号：US16185348
申请日：2018-11-09
发明人： Guo Qiang Hu , Jun Zhu , Peng Ji , Bo Wen Wei , Zhe Yan , Lei He
摘要： Scheduling automated visual inspection tasks includes capturing an image of a component to be inspected. A visual inspection model is formed with a model engine as a composite model of utility modules and functional modules to perform visual inspection of the image of the component. An abstract processing workflow of the visual inspection model is derived with a scheduler including dependencies between the utility modules and the functional modules. Performance of each of the functional modules is profiled with the scheduler by testing performance with available hardware resources to produce a performance profile. Parallel instances of each of the functional modules in a branch of the abstract processing workflow are scheduled with the scheduler according to the dependencies and the performance profiles. An indication of defects in the component is produced by processing the visual inspection model according to the scheduled functional modules.
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公开(公告)号：US09921939B2
公开(公告)日：2018-03-20
申请号：US15264162
申请日：2016-09-13
发明人： Xin Hao Cheng , Guo Qiang Hu , Jun Chi Yan , Jun Zhu
CPC分类号： G06F11/3466 , G06F3/0601 , G06F3/0611 , G06F3/0659 , G06F3/0689 , G06F9/45533 , G06F9/45558 , G06F9/4881 , G06F9/4887 , G06F11/073 , G06F11/301 , G06F11/302 , G06F11/3024 , G06F11/3037 , G06F11/3051 , G06F11/3419 , G06F11/3485 , G06F11/3664 , G06F11/3688 , G06F2009/45591 , G06F2201/815 , G06F2201/865
摘要： The present invention relates to a virtual machine, and specifically discloses a method and apparatus for creating a software performance testing environment based on a virtual machine, wherein the method comprises: in response to obtaining a hard disk read/write request triggered by a virtual CPU of the virtual machine, notifying a virtual CPU scheduler to record a CPU time quota t1 already consumed by the virtual CPU in a current CPU schedule period; in response to detecting completion of hard disk read/write processing corresponding to the hard disk read/write request, predicting a hard disk read/write latency t corresponding to the hard disk read/write request in a target environment; notifying the virtual CPU scheduler to determine a CPU time quota already consumed by the virtual CPU in the current CPU schedule period based on the recorded CPU time quota t1 and the hard disk read/write latency t; and adjusting a system clock of the virtual machine based on the determined CPU time quota already consumed by the virtual CPU in the current CPU schedule period. The method according to the embodiments of the present invention may obtain, in the created software performance testing environment, a software performance testing result consistent with the result obtained under a highly configured server in the target environment.
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公开(公告)号：US11443226B2
公开(公告)日：2022-09-13
申请号：US15597242
申请日：2017-05-17
发明人： Stephen M. Chu , Min Gong , Guo Qiang Hu , Dong Sheng Li , Liang Wu , Jun Chi Yan
IPC分类号： G06N20/00
摘要： A computer-implemented method applies labels to unlabeled public data for use by a global model. One or more processors train one or more local machine learning models with local private data to create one or more trained models. Processor(s) generate a label for each of the local private data using the one or more trained models, where each label describes the local private data, and then apply the label to unlabeled public data to create labeled public data. One or more processors then input the labeled public data into a global model that uses the public data.
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