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公开(公告)号：US11721037B2
公开(公告)日：2023-08-08
申请号：US17202192
申请日：2021-03-15
Inventor： Zhaohu Li
CPC classification number: G06T7/73 , G06T19/003 , G06T2207/30244
Abstract: The present application relates to a method for indoor positioning, and an apparatus, an electronic device and a storage medium, which relates to the fields of positioning technologies and deep learning technologies. A specific implementation solution is: extracting descriptors of structure lines in a specified image collected by a terminal indoors; based on the descriptors of the structure lines in the specified image and descriptors of structure lines of images included in a pre-established indoor image database, acquiring, from the indoor image database, target structure line descriptors closest to the descriptors of the structure lines in the specified image; and acquiring pose information of the terminal based on a pre-established indoor 3D structure line map and the target structure line descriptors corresponding to the descriptors of the structure lines in the specified image. The present application can position a terminal based on structure lines in a specified image collected by the terminal indoors, without being affected by texture information such as a billboard in the image, as well as illumination and appearance changes, which has higher robustness and can effectively improve the stability and accuracy of indoor positioning.
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公开(公告)号：US11709767B2
公开(公告)日：2023-07-25
申请号：US17117902
申请日：2020-12-10
Inventor： Hua Chen
CPC classification number: G06F11/3688 , G06F11/3684
Abstract: A method and an apparatus for verifying an operation state of an application are provided. The method can include setting target verification operation information according to an operation verification item of an application to be verified; setting a verification process instruction for the target verification operation information; encapsulating the verification operation information and the verification process instruction as fault injection data, and sending the fault injection data to a data input port of the application to be verified; matching the process feedback information with the verification process instruction in response to receiving the process feedback information corresponding to the fault injection data, and determining executed target verification operation information.
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公开(公告)号：US11704896B2
公开(公告)日：2023-07-18
申请号：US17213764
申请日：2021-03-26
Inventor： Meng Yao
IPC: G06V10/74 , G06V20/40 , G06V10/762 , G06F18/22
CPC classification number: G06V10/761 , G06F18/22 , G06V10/762 , G06V20/48 , G06V20/49
Abstract: A Method, apparatus, device, and storage media for image processing are provided. The method include: acquiring a set of image sequences, the set of image sequences including a plurality of image sequences; determining a first similarity measurement between image sequences in the set of image sequences; dividing the set of image sequences into one or more subset of image sequences based on a first similarity measurement; and determining, in each subset of image sequences, degrees of correlation between images in one image sequence of the subset of image sequences and images in other image sequences of the subset of image sequences.
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公开(公告)号：US11698262B2
公开(公告)日：2023-07-11
申请号：US17221309
申请日：2021-04-02
Inventor： Teng Zhang
CPC classification number: G01C21/3484 , G01C21/20 , G01C21/343
Abstract: A method and an apparatus for generating a route planning model and a storage medium are provided. The method for generating a route planning model includes: obtaining a target route data set associated with a target site; and determining a target route planning model of the target site with a site optimization object corresponding to the target site, based on the target route data set and a first route planning model; wherein the first route planning model is determined based on a set of historical route data through at least a first training, the set of historical route data being associated with a plurality of sites different from the target site and a first training optimization object for the first training corresponding to the plurality of sites.
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825.发明授权公开(公告)号：US11694461B2
公开(公告)日：2023-07-04
申请号：US17199072
申请日：2021-03-11
Inventor： Mengyi En , Shanshan Liu , Xuan Li , Chengquan Zhang , Hailun Xu , Xiaoqiang Zhang
IPC: G06V30/414 , G06F40/279 , G06N3/08 , G06V30/413 , G06V30/148 , G06V30/19 , G06V30/262 , G06V10/82 , G06V20/62 , G06V30/10
CPC classification number: G06V30/414 , G06F40/279 , G06N3/08 , G06V10/82 , G06V20/62 , G06V30/148 , G06V30/19173 , G06V30/262 , G06V30/413 , G06V30/10
Abstract: The present application discloses a method and an apparatus for optical character recognition, an electronic device and a storage medium, and relates to the fields of artificial intelligence and deep learning. The method may include: determining, for a to-be-recognized image, a text bounding box of a text area therein, and extracting a text area image from the to-be-recognized image according to the text bounding box; determining a bounding box of text lines in the text area image, and extracting a text-line image from the text area image according to the bounding box; and performing text sequence recognition on the text-line image, and obtaining a recognition result. The application of the solution in the present application can improve a recognition speed and the like.
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Patent Agency Ranking
826.发明授权公开(公告)号：US11687819B2
公开(公告)日：2023-06-27
申请号：US17209031
申请日：2021-03-22
Inventor： Lijing Jin , Runyao Duan
CPC classification number: G06N10/00 , H10N60/12 , H10N60/805
Abstract: The present disclosure discloses a high-fidelity superconducting circuit structure, a superconducting quantum chip, and a superconducting quantum computer, which relate to the field of quantum computation. The specific implementation is as follows: computation qubits; a coupling device configured to be coupled with two computation qubits, respectively; a connecting component disposed between a computation qubit and the coupling device to couple the computation qubit with the coupling device, so as to implement a target quantum gate based on the coupling device and the computation qubit.
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公开(公告)号：US11676257B2
公开(公告)日：2023-06-13
申请号：US16697944
申请日：2019-11-27
Inventor： Yawei Wen , Jiabing Leng , Minghao Liu , Yulin Xu , Jiangliang Guo , Xu Li
CPC classification number: G06T7/0004 , B65B25/001 , G06N3/08 , G06T2207/10004 , G06T2207/20081 , G06T2207/20084
Abstract: Embodiments of the present disclosure provide a method and a device for detecting defect of a meal box, a server, a device, and a storage medium. The method includes: receiving a detection request including an image of the meal box sent by a user terminal, the image of the meal box being obtained by an image acquirer of the user terminal; and performing defect recognition based on the image of the meal box and a defect detection model in response to the detection request.
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公开(公告)号：US11675649B2
公开(公告)日：2023-06-13
申请号：US17302731
申请日：2021-05-11
Inventor： Xiaolong Wang
CPC classification number: G06F11/079 , G06F11/0709 , G06F11/0751 , G06F11/0772
Abstract: The present application discloses a fault prediction method, apparatus, and a storage medium, and relates to fields of cloud computing and fault processing. An embodiment includes acquiring a fault alarm request, wherein the fault alarm request is obtained by at least two fault triggering parameters of a fault generated by cloud operation, a hidden danger generated by cloud operation, and a change generated by terminal operation at a user level; analyzing the fault alarm request, to obtain at least two fault triggering parameters of the fault, the hidden danger, and the change; establishing an association between the at least two fault triggering parameters of the fault, the hidden danger, and the change, to obtain an association result; and predicting a fault causing the fault alarm request according to the association result, to obtain a fault prediction result.
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公开(公告)号：US11670029B2
公开(公告)日：2023-06-06
申请号：US17191444
申请日：2021-03-03
Inventor： Tianshu Hu , Mingming Ma , Shengyi He , Hanqi Guo , Tonghui Li , Zhibin Hong
CPC classification number: G06T13/40 , G06N20/00 , G06V40/168 , G06V40/176
Abstract: A method and apparatus for processing character image data are provided. A specific embodiment of the method can include: acquiring a video including character images of a first character as first data, and acquiring a video including character images of a second character as second data, the video including character images of the first character including a plurality of types of movement-state images; replacing a head image extracted from the first data with a head image extracted from the second data; replacing a face extracted from the first data with a face extracted from the second data; and replacing the face in the replaced head image with the replaced face to obtain a target head image.
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公开(公告)号：US11659181B2
公开(公告)日：2023-05-23
申请号：US16892910
申请日：2020-06-04
Inventor： Xiaoming Wang , Huaifei Xing , Wenpeng Ding , Huifeng Shen , Feifei Cao
IPC: G06K9/00 , H04N19/124 , G06T7/70 , G06V20/40 , G06V10/25 , G06V40/10 , G06F18/22 , G06V10/80 , H04N19/102 , H04N19/167 , G06V10/22 , G06V10/764 , H04N19/169 , H04N19/115 , G06V10/28 , H04N19/17
CPC classification number: H04N19/124 , G06F18/22 , G06T7/70 , G06V10/22 , G06V10/25 , G06V10/28 , G06V10/764 , G06V10/811 , G06V20/41 , G06V40/10 , H04N19/102 , H04N19/115 , H04N19/167 , H04N19/169 , H04N19/17 , G06T2207/10016
Abstract: Embodiments of the present disclosure relate to a method and apparatus for processing a video. The method may include: acquiring object regions obtained by performing object detection on a target video frame, a type of an object in each of the object regions being a preset type; determining, for an object region in the acquired object regions, in response to determining that the object region satisfies a preset condition, that the object region is a non-ROI; using an object region other than the non-ROI in the object regions of the target video frame as a ROI; and acquiring a quantization parameter change corresponding to each ROI, and encoding the target video frame based on the quantization parameter change.
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