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公开(公告)号：US11727702B1
公开(公告)日：2023-08-15
申请号：US18098055
申请日：2023-01-17
申请人： Velocity EHS Inc.
发明人： Julia Penfield , Aatish Suman , Veeru Talreja , Misbah Zahid Khan
IPC分类号： G06V10/82 , G06V30/24 , G06F40/205 , G06F40/284 , G06F40/258 , G06F40/295 , G06V30/19 , G06V30/413
CPC分类号： G06V30/2528 , G06F40/205 , G06F40/258 , G06F40/284 , G06F40/295 , G06V10/82 , G06V30/19147 , G06V30/413
摘要： Systems and methods for automated indexing and extraction of information in digital documents are disclosed. A method may comprise selecting a page number of a digital document to identify a page containing targeted information; inputting an image of the page into a visual machine learning network (visual ML), wherein the visual ML is trained to recognize text associated with the targeted information in an image; identifying by the visual ML, a section of the image that contains the targeted information; inputting the page number, the digital document, and coordinates of the section into an extraction module; and extracting the targeted information by the extraction module from the section.
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公开(公告)号：US11893048B1
公开(公告)日：2024-02-06
申请号：US18134023
申请日：2023-04-12
申请人： Velocity EHS Inc.
发明人： Julia Penfield , Aatish Suman , Veeru Talreja , Misbah Zahid Khan
IPC分类号： G06F40/279 , G06F16/31 , G06V30/19
CPC分类号： G06F16/328 , G06F40/279 , G06V30/19
摘要： Systems and Methods are disclosed herein for automatically indexing multiple informational fields in digital data records, the method comprising: identifying, based on rules defining target information fields, for each target field of the target information fields, at least one page in a digital data record comprising content related to the target field; extracting, for each target field, from the identified at least one page, at least one portion of text comprising the content; feeding, for each target field, a pre-processed version of the at least one portion of text into a machine learning (ML) model, wherein the ML model is trained on the target field; determining, for each target field, via the ML model trained on the target field, at least one candidate text comprising the content; and extracting, for each target field, the at least one candidate text.
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公开(公告)号：US20240346419A1
公开(公告)日：2024-10-17
申请号：US18537450
申请日：2023-12-12
IPC分类号： G06Q10/0635 , G06F40/205 , G06F40/30
CPC分类号： G06Q10/0635 , G06F40/205 , G06F40/30
摘要： A system for identifying industrial ergonomics risk root-causes and providing risk control actions, comprising: a computing device configured to obtain textual information describing a series of tasks of a job and forces being exerted during the series of tasks; and a computing server system configured to receive and process the textual information to generate a set of textual entry to correspond to a unique identifier of the job, identify nouns and verbs in the set of textual entry via natural language processing techniques, perform dependency parsing and part-of-speech tagging to associate each identified verb in the set of textual entry with a root noun in order to identify action-object pairs and unpaired actions, determine ergonomic risk root-causes based at least upon the action-object pairs and the unpaired actions in the set of textual entry, and provide ergonomic risk control recommendations to mitigate the ergonomic risk root-causes.
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公开(公告)号：US11847600B1
公开(公告)日：2023-12-19
申请号：US18365396
申请日：2023-08-04
IPC分类号： G06Q10/00 , G06Q10/0635 , G06F40/30 , G06F40/205
CPC分类号： G06Q10/0635 , G06F40/205 , G06F40/30
摘要： A system for identifying industrial ergonomics risk root-causes and providing risk control actions, comprising: a computing device configured to obtain textual information describing a series of tasks of a job and forces being exerted during the series of tasks; and a computing server system configured to receive and process the textual information to generate a set of textual entry to correspond to a unique identifier of the job, identify nouns and verbs in the set of textual entry via natural language processing techniques, perform dependency parsing and part-of-speech tagging to associate each identified verb in the set of textual entry with a root noun in order to identify action-object pairs and unpaired actions, determine ergonomic risk root-causes based at least upon the action-object pairs and the unpaired actions in the set of textual entry, and provide ergonomic risk control recommendations to mitigate the ergonomic risk root-causes.
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公开(公告)号：US11763235B1
公开(公告)日：2023-09-19
申请号：US18133902
申请日：2023-04-12
申请人： VelocityEHS Inc.
IPC分类号： G06F17/00 , G06Q10/0635 , G06F40/30 , G06F40/205
CPC分类号： G06Q10/0635 , G06F40/205 , G06F40/30
摘要： A system for identifying industrial ergonomics risk root-causes and providing risk control actions, comprising: a computing device configured to obtain textual information describing a series of tasks of a job and forces being exerted during the series of tasks; and a computing server system configured to receive and process the textual information to generate a set of textual entry to correspond to a unique identifier of the job, identify nouns and verbs in the set of textual entry via natural language processing techniques, perform dependency parsing and part-of-speech tagging to associate each identified verb in the set of textual entry with a root noun in order to identify action-object pairs and unpaired actions, determine ergonomic risk root-causes based at least upon the action-object pairs and the unpaired actions in the set of textual entry, and provide ergonomic risk control recommendations to mitigate the ergonomic risk root-causes.
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6.发明授权公开(公告)号：US12020193B1
公开(公告)日：2024-06-25
申请号：US18457855
申请日：2023-08-29
IPC分类号： G06T7/70 , G06Q10/0635 , G06Q10/0639 , G06V10/764 , G06V40/10
CPC分类号： G06Q10/0635 , G06Q10/06398 , G06T7/70 , G06V10/764 , G06V40/11
摘要： A system, comprising: a computing device configured to obtain video signals of a worker performing a hand-related job at a workplace; and a computing server system configured to receive and process the video signals to identify hand grips and wrist bending involved in the job, determine a hand grip type for each identified hand grip, obtain force information relating to each identified hand grip, determine neutral or hazardous wrist bending based at least upon the wrist bending and the hand grip force information, calculate a percent maximum strength for each identified hand grip, calculate frequencies and durations of each identified hand grip and wrist bending, and determine ergonomic risks of the hand-related job accordingly.
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公开(公告)号：US11941824B2
公开(公告)日：2024-03-26
申请号：US17718818
申请日：2022-04-12
申请人： Velocity EHS Inc.
发明人： SangHyun Lee , Meiyin Liu
CPC分类号： G06T7/251 , G01L1/005 , G06T17/005 , G06T17/20 , G06T19/00 , G06V40/28 , G06T2200/04 , G06T2200/08 , G06T2207/10016 , G06T2207/20084
摘要： A method for determining a hand force and a ground reaction force for a musculoskeletal body of a subject includes obtaining video data for the musculoskeletal body during an action taken by the subject, generating, for each frame of the video data, three-dimensional pose data for the subject based on a three-dimensional skeletal model, and determining the hand force and the ground reaction force based on the three-dimensional pose data. Determining the hand force and the ground reaction force includes implementing a reconstruction of the hand force and the ground reaction force based on the three-dimensional pose data. The method additionally includes applying the three-dimensional pose data, the estimate for the ground reaction force, and the estimate of the hand force, to a neural network or other model to optimize the estimate of the hand force and the estimate of the ground reaction force.
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公开(公告)号：US11893047B1
公开(公告)日：2024-02-06
申请号：US18212533
申请日：2023-06-21
发明人： Julia Penfield , Aatish Suman , Veeru Talreja , Misbah Zahid Khan
IPC分类号： G06F40/40 , G06F16/31 , G06V30/416 , G06F40/295
CPC分类号： G06F16/316 , G06F40/295 , G06F40/40 , G06V30/416
摘要： Systems and methods for automated indexing and extraction of information in digital documents are disclosed. A method may comprise identifying a page containing targeted information; inputting an image of the page into a visual machine learning network (visual ML), wherein the visual ML is trained to recognize text associated with the targeted information in an image; identifying by the visual ML, a section of the image that contains the targeted information; inputting the digital document, and coordinates of the section into an extraction module; and extracting the targeted information by the extraction module from the section.
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9.发明授权公开(公告)号：US12125235B1
公开(公告)日：2024-10-22
申请号：US18417633
申请日：2024-01-19
发明人： Julia Penfield , Leyang Wen , Veeru Talreja , Daeho Kim , Meiyin Liu , Richard Thomas Barker , SangHyun Lee
CPC分类号： G06T7/70 , G06T5/70 , G06T7/20 , G06V20/70 , G06T2207/30204 , G06T2207/30241 , G06V2201/07
摘要： Disclosed herein is a system and method for obtaining and generating motion capture datasets relating to various working activities for ergonomic risk assessment. An example system may comprise a computing device that obtains first data from multiple motion capture cameras, obtains second data from multiple visible light imaging sensors, calculates 3D positions of multiple reflective markers positioned on several subjects performing various working activities based on the first data, labels each marker to generate marker trajectories, performs gap filing and smoothing functions on the marker trajectories to generate global marker positions, transforms the global marker positions into a corresponding image coordinate system of each sensor to generate 3D pose data of the subjects at each sensor viewpoint, projects the 3D pose data into frames of the second data to generate 2D pose data, and generates a dataset comprising the second data, the 2D pose data, and the 3D pose data.
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10.发明授权公开(公告)号：US12112485B1
公开(公告)日：2024-10-08
申请号：US18418929
申请日：2024-01-22
发明人： Julia Penfield , Leyang Wen , Veeru Talreja , Daeho Kim , Meiyin Liu , Richard Thomas Barker , SangHyun Lee
IPC分类号： G06T7/20
CPC分类号： G06T7/20 , G06T2207/20044 , G06T2207/30204
摘要： Disclosed herein is a system and method for obtaining and generating motion capture datasets relating to various working activities for ergonomic risk assessment. An example system may comprise a computing device that obtains first data from multiple motion capture cameras, obtains second data from multiple visible light imaging sensors, calculates 3D positions of multiple reflective markers positioned on several subjects performing various working activities based on the first data, labels each marker to generate marker trajectories, performs gap filing and smoothing functions on the marker trajectories to generate global marker positions, transforms the global marker positions into a corresponding image coordinate system of each sensor to generate 3D pose data of the subjects at each sensor viewpoint, projects the 3D pose data into frames of the second data to generate 2D pose data, and generates a dataset comprising the second data, the 2D pose data, and the 3D pose data.
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