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公开(公告)号:US11954797B2
公开(公告)日:2024-04-09
申请号:US18058642
申请日:2022-11-23
IPC分类号: G01C11/06 , G06F16/29 , G06T7/55 , G06T7/70 , G06T17/05 , G06V10/44 , G06V10/764 , G06V20/13 , G06V20/17 , G06V20/56
CPC分类号: G06T17/05 , G01C11/06 , G06F16/29 , G06T7/55 , G06T7/70 , G06V10/454 , G06V10/764 , G06V20/13 , G06V20/17 , G06V20/56 , G06V20/588 , G06T2207/10028 , G06T2207/30256
摘要: A feature mapping computer system configured to (i) receive a localized image including a photo depicting a driving environment and location data associated with the photo, (ii) identify, using an image recognition module, a roadway feature depicted in the photo, (iii) generate, using a photogrammetry module, a point cloud based upon the photo and the location data, wherein the point cloud comprises a set of data points representing the driving environment in a three dimensional (“3D”) space, (iv) localize the point cloud by assigning a location to the point cloud based upon the location data, and (v) generate an enhanced base map that includes a roadway feature.
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公开(公告)号:US11948454B2
公开(公告)日:2024-04-02
申请号:US17084652
申请日:2020-10-30
发明人: Benedict Flade , Nils Einecke
CPC分类号: G08G1/0145 , G06V10/25 , G06V20/13 , G06V20/17 , G06V20/182 , G06V20/54 , G08G1/0116 , G08G1/0125 , G08G1/0175 , G08G1/04
摘要: A method and a system for controlling at least one of a traffic infrastructure device, an actuator of a traffic participant based on enhanced traffic data is provided. The method comprises steps of monitoring, by a trigger processor, an area; generating, by the trigger processor, trigger data in case a trigger event is determined in the monitored area and providing the generated trigger data indicating an area-of-interest to an image data source; obtaining image data on the area-of-interest based on the transmitted trigger data and transmitting the obtained image data to a traffic evaluation processor; evaluating, by the traffic evaluation processor, the obtained image data to generate enhanced traffic data on the area-of-interest; and outputting, by the traffic evaluation processor, the generated enhanced traffic data in a control signal, wherein the control signal is configured to control the traffic infrastructure device and/or the actuator of the traffic participant.
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公开(公告)号:US20240096101A1
公开(公告)日:2024-03-21
申请号:US18521457
申请日:2023-11-28
发明人: Yui SUGIE , Koichi SUZUKI , Naoki UENOYAMA , Hiroki TAKEDA , Hirohiko MORIKAWA , Genshi KUNO
CPC分类号: G06V20/54 , B64C39/024 , G01J5/0025 , G06V10/255 , G06V20/17 , G06V40/103 , H04N5/33 , B64U2101/30 , G06V2201/08
摘要: A server includes a control unit. The control unit determines whether a parked vehicle is used as a shelter based on a first image which is included in an image captured by a camera and which is obtained by imaging the vehicle and surroundings of the vehicle.
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公开(公告)号:US11928813B2
公开(公告)日:2024-03-12
申请号:US17993908
申请日:2022-11-24
申请人: SMARTINSIDE AI Inc.
发明人: Joo Ho Shin , Seung Hee Park
CPC分类号: G06T7/001 , B64C39/024 , G06T7/73 , G06V10/761 , G06V20/17 , G06V20/176 , B64U2101/30 , B64U2201/10 , G06T2207/10032 , G06T2207/20081 , G06T2207/30184
摘要: Disclosed herein is a method for an image analysis server to detect a change to a structure by using a drone. The method for an image analysis server to detect a change to a structure by using a drone includes: receiving images of a specific inspection target structure taken at different time points by a drone; detecting the difference between an image taken at a first time point and an image taken at a second time point based on the received images; and detecting a change to the inspection target structure via the detected difference, and generating a risk signal and then transmitting it to an administrator terminal.
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公开(公告)号:US20240074428A1
公开(公告)日:2024-03-07
申请号:US18467124
申请日:2023-09-14
申请人: PRECISION AI INC.
发明人: Daniel MCCANN
IPC分类号: A01M21/04 , A01B79/00 , A01B79/02 , B64D1/18 , G06V20/10 , G06V20/17 , H04N23/23 , B64U20/70
CPC分类号: A01M21/043 , A01B79/005 , A01B79/02 , B64D1/18 , G06V20/188 , G06V20/17 , H04N23/23 , B64U20/70 , B64U2101/30
摘要: A method and system for field treatment. The method comprising a data collection unit for collecting data on a portion of a field; an interface for receiving a first parameter to be considered for treatment of said portion of said field and a first probability score threshold for said parameter; a calculation unit for calculating a first probability score of said first parameter in said data collected; and, a treatment unit for treating said portion of the field based on said first probability score for said first parameter and said first threshold.
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公开(公告)号:US20240071080A1
公开(公告)日:2024-02-29
申请号:US18340151
申请日:2023-06-23
申请人: BNSF Railway Company
IPC分类号: G06V20/50 , G01S19/45 , G06Q10/087 , G06T7/70 , G06V10/70 , G06V20/17 , G06V20/40 , H04N5/77 , H04N7/18
CPC分类号: G06V20/50 , G01S19/45 , G06Q10/087 , G06T7/70 , G06V10/70 , G06V20/17 , G06V20/41 , H04N5/77 , H04N7/183 , G06T2207/10016 , G06T2207/10032 , G06T2207/30244 , G06V2201/10
摘要: Methods and systems for providing mechanisms for automated inventory control are provided. In embodiments, an operational workflow for providing automated inventory control includes automated data collection and automated image data analysis. The automated data collection includes capturing image data for a storage facility by a capturing device (e.g., an unmanned aerial system (UAS)). The automated image data analysis includes functionality to detect objects (e.g., containers, trailers, empty slots, and/or other objects) appearing in the image data (e.g., using a machine learning (ML) model), to identify the objects in the image data (e.g., using the ML model), to inspect the objects (e.g., including determining a condition and/or location of the objects) based on the collected image data and metadata associated with the image capturing device and correlated to the image data (e.g., using an advance mathematical rule-based analysis), and/or to generate results that may be used by an inventory management system.
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公开(公告)号:US11900649B2
公开(公告)日:2024-02-13
申请号:US17851508
申请日:2022-06-28
申请人: Movidius Limited
发明人: Kevin Lee , Anton Shmatov , Jonathan Byrne , David Moloney
IPC分类号: G06V20/64 , G06T17/20 , G06T19/00 , G06V10/56 , G06V20/52 , G06V10/774 , G06V20/13 , G06V20/17
CPC分类号: G06V10/56 , G06T17/20 , G06T19/00 , G06V10/7753 , G06V20/13 , G06V20/17 , G06V20/53 , G06V20/653 , G06T2219/004
摘要: Methods, systems, articles of manufacture and apparatus to generate digital scenes are disclosed. An example apparatus to generate labelled models includes a map builder to generate a three-dimensional (3D) model of an input image, a grouping classifier to identify a first zone of the 3D model corresponding to a first type of grouping classification, a human model builder to generate a quantity of placeholder human models corresponding to the first zone, a coordinate engine to assign the quantity of placeholder human models to respective coordinate locations of the first zone, the respective coordinate locations assigned based on the first type of grouping classification, a model characteristics modifier to assign characteristics associated with an aspect type to respective ones of the quantity of placeholder human models, and an annotation manager to associate the assigned characteristics as label data for respective ones of the quantity of placeholder human models.
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公开(公告)号:US20240046640A1
公开(公告)日:2024-02-08
申请号:US18488541
申请日:2023-10-17
发明人: You ZHOU , Jifei XU , Weihang CHEN
IPC分类号: G06V20/17 , G06T7/12 , G06T7/73 , G06T7/50 , G06V40/10 , G06T7/246 , G08B17/12 , G01J5/00 , G01J5/48
CPC分类号: G06V20/17 , G06T7/12 , G06T7/73 , G06T7/50 , G06V40/10 , G06T7/246 , G08B17/12 , G01J5/0025 , G01J5/0018 , G01J5/48 , G06T2207/10032 , G06T2207/10024 , G06T2207/20221 , G06T2207/10048 , B64U10/14
摘要: A control method includes obtaining a thermal image of a fire area through an aerial vehicle, obtaining a temperature distribution of the fire area based on the thermal image, dividing the fire area into a plurality of sub-areas based on the temperature distribution of the fire area, and projecting the plurality of sub-areas on a map including the fire area displayed by a control terminal. The plurality of sub-areas have different fire levels.
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公开(公告)号:US11881090B2
公开(公告)日:2024-01-23
申请号:US16846568
申请日:2020-04-13
申请人: James Carey
发明人: James Carey
IPC分类号: G06V20/13 , G06V20/52 , G06V20/17 , G07F9/02 , G07G3/00 , G06Q20/20 , H04N7/18 , G08B13/196 , G07F19/00
CPC分类号: G07F9/026 , G06Q20/20 , G06V20/13 , G06V20/17 , G06V20/52 , G07F19/207 , G07G3/003 , G08B13/19608 , G08B13/19613 , H04N7/181 , G08B13/1965
摘要: The present disclosure is directed to systems and methods for generating investigations of user behavior. In an example embodiment, the system includes a video camera configured to capture video of user activity, a video analytic module to perform real-time video processing of the captured video to generate non-video data from video, and a computer configured to receive the video and the non-video data from the video camera. In some embodiments, the video camera is at least one of a traffic camera or an aerial drone camera. The computer includes a video analytics module configured to analyze one of video and non-video data to identify occurrences of particular user behavior, and an investigation generation module configured to generate an investigation containing at least one video sequence of the particular user behavior. In some embodiments, the investigation is generated in near real time. The particular user behavior may be defined as an action, an inaction, a movement, a plurality of event occurrences, a temporal event and/or an externally-generated event.
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公开(公告)号:US20240020968A1
公开(公告)日:2024-01-18
申请号:US18029109
申请日:2021-09-05
申请人: Edgy Bees Ltd.
发明人: Menashe Haskin , Ofir Gorge Makmal , Tamar Esther Levi , Sapir Esther Yiflach , Efrat Dahan , Ariel Pinian , Yitzhak Sapir
IPC分类号: G06V20/17 , G06V10/40 , G06V10/14 , G06V10/82 , G06V10/764 , G06F16/787 , G06F16/783
CPC分类号: G06V20/17 , G06V10/40 , G06V10/14 , G06V10/82 , G06V10/764 , G06F16/787 , G06F16/7837
摘要: A Geo-synchronization system involves a video camera in a vehicle, such as a drone, that captures aerial images of an area. The success rate and the accuracy of the geo-synchronization algorithms is improved by using a trained feed-forward Artificial Neural Network (ANN) for identifying dynamic objects, that changes overtime, in frames captured by the video camera. Such frames are tagged, such as by adding metadata. The tagged frames may be used in a geosynchronization algorithm that may be based on comparing with reference images or may be based on another or same ANN, by removing the dynamic object from the fame, or removing the tagged frame for the algorithm. A dynamic object may change over time due to environmental conditions, such as weather changes, or geographical changes. The environmental condition may change is in response to the Earth rotation, the Moon orbit, or the Earth orbit around the Sun.
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