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1. 发明授权

US12106459B2 System for quantitively determining pavement marking quality 有权
公开(公告)号：US12106459B2
公开(公告)日：2024-10-01
申请号：US17547580
申请日：2021-12-10
申请人： GM Global Technology Operations LLC
发明人： Fahim Ahmed , Richard Gordon , Donald K. Grimm
IPC分类号： G06T7/00 , G06F18/22 , G06F18/23 , G06T7/70 , G06T7/90 , G06V10/36 , G06V10/56 , G06V10/762 , G06V10/88 , G06V20/56
CPC分类号： G06T7/0002 , G06F18/22 , G06F18/23 , G06T7/70 , G06T7/90 , G06V10/36 , G06V10/56 , G06V10/762 , G06V10/88 , G06V20/588 , G06T2207/10024 , G06T2207/30168 , G06T2207/30256
摘要： A system for quantitively determining quality for pavement markings disposed along pavement on a roadway includes one or more controllers in wireless communication with a plurality of vehicles. The one or more controllers receive image data represents the pavement markings disposed along the pavement collected by the plurality of vehicles. The one or more controllers execute instructions to determine at least one of a color distance measurement between a mean color space value of the pavement markings and an ideal marking color space value and a marking intensity contrast ratio between the pavement markings and the pavement.

2. 发明公开

US20240250832A1 AUTHENTICATION METHOD AND SYSTEM 审中-公开
公开(公告)号：US20240250832A1
公开(公告)日：2024-07-25
申请号：US18593876
申请日：2024-03-02
申请人： Copilot Ventures Fund III LLC
发明人： Jay Fraser
IPC分类号： H04L9/32 , A61B5/1172 , G06F18/22 , G06K7/10 , G06K7/14 , G06V10/147 , G06V10/88 , G06V20/80 , G06V30/224 , G06V30/40 , G06V30/418 , G06V40/13 , G06V40/16 , G07D7/0043 , G07D7/12 , G07D7/1205 , G07D7/20 , G07D7/2033
CPC分类号： H04L9/3247 , G06F18/22 , G06K7/10722 , G06K7/1413 , G06V10/147 , G06V10/88 , G06V20/80 , G06V30/224 , G06V30/40 , G06V30/418 , G06V40/1324 , G06V40/172 , G07D7/0043 , G07D7/2008 , G07D7/2033 , H04L9/3236 , A61B5/1172 , G07D7/12 , G07D7/1205 , H04L2209/72
摘要： A method for authenticating an object, comprising determining a physical dispersion pattern of a set of elements, determining a physical characteristic of the set of elements which is distinct from a physical characteristic producible by a transfer printing technology, determining a digital code associated with the object defining the physical dispersion pattern, and authenticating the object by verifying a correspondence of the digital code with the physical dispersion pattern, and verifying the physical characteristic.

3. 发明授权

US11749002B2 Lane line recognition apparatus 有权
公开(公告)号：US11749002B2
公开(公告)日：2023-09-05
申请号：US17493385
申请日：2021-10-04
申请人： SUBARU CORPORATION
发明人： Kensaku Natsume
IPC分类号： G06V20/56 , G06V10/88 , G06V10/60
CPC分类号： G06V20/588 , G06V10/60 , G06V10/88
摘要： A lane line recognition apparatus includes an imaging device, a lane-line-search-region setting section, a light-streak-search-region setting section, a light-streak determination section, a light-streak-reaching determination section, and a mask processing section. The imaging device is to be mounted on a vehicle and captures an image of a traveling environment in front of the vehicle. The lane-line-search-region setting section sets a lane-line search region on the image. The light-streak-search-region setting section sets a light-streak search region adjacently to the lane-line search region. The light-streak determination section determines whether a light streak that crosses, in a vertical direction of the image, the light-streak search region is found. The light-streak-reaching determination section determines, if the light streak is found, whether the light streak reaches the lane-line search region. The mask processing section performs, if the light streak reaches the lane-line search region, a mask process on the light streak.

4. 发明授权

US11699227B2 Method of verifying error of optical proximity correction model 有权
公开(公告)号：US11699227B2
公开(公告)日：2023-07-11
申请号：US17384366
申请日：2021-07-23
申请人： Samsung Electronics Co., Ltd.
发明人： Heungsuk Oh , Mincheol Kang , Sangwook Park
IPC分类号： G06K9/00 , G06T7/00 , G06T7/50 , G06T7/60 , G03F1/36 , G06V10/30 , G06V10/42 , G06V10/88 , G06F18/22 , G06F18/214
CPC分类号： G06T7/0006 , G03F1/36 , G06F18/2148 , G06F18/22 , G06T7/50 , G06T7/60 , G06V10/30 , G06V10/42 , G06V10/88 , G06T2207/10061 , G06T2207/20081 , G06T2207/20084 , G06T2207/30148
摘要： A method of fabricating a semiconductor device includes generating a mask based on second layout data obtained by applying an OPC model to first layout data and performing a semiconductor process using the mask on a substrate, obtaining a plurality of pattern images by selecting a plurality of sample patterns from the substrate, selecting sample images corresponding to the sample patterns from each of the first layout data, the second layout data, and simulation data obtained by performing a simulation based on the second layout data, generating a plurality of input images corresponding to the sample patterns by blending the sample images corresponding to the sample patterns, respectively, and generating an error prediction model for the OPC model by training a machine learning model using a data set including the input images and the pattern images.

5. 发明授权

US11668696B2 Mask structure optimization device, mask structure optimization method, and program 有权
公开(公告)号：US11668696B2
公开(公告)日：2023-06-06
申请号：US17706962
申请日：2022-03-29
申请人： RIKEN , ThinkCyte, Inc.
发明人： Issei Sato , Masahiro Kazama , Masashi Ugawa , Hiroaki Adachi , Fumiya Shimada
IPC分类号： G06V10/88 , G01N15/14 , G01N33/483 , G06V10/50 , G06V20/69 , G06F18/2115 , G06F18/21 , G06N3/045
CPC分类号： G06V10/88 , G01N15/1429 , G01N33/4833 , G06F18/2115 , G06F18/2163 , G06N3/045 , G06V10/507 , G06V20/695 , G06V20/698
摘要： A mask structure optimization device includes a classification target image size acquisition unit that is configured to acquire a size of a classification target image which is an image including a classification target, a mask size setting unit that is configured to set a size of a mask applied to the classification target image, a brightness detection unit that is configured to detect a brightness of each pixel within the classification target image at a position on an opposite side of the mask from the classification target image, a sum total brightness calculation unit that is configured to calculate the sum total brightness of the each pixel within the classification target image detected by the brightness detection unit, an initial value setting unit that is configured to set an initial value for a mask pattern of the mask, and a movement unit that is configured to relatively move the mask with respect to the classification target image. The sum total brightness calculation unit is configured to calculate the sum total brightness of the each pixel within the classification target image every time the movement unit relatively moves the mask by a predetermined movement amount. The mask structure optimization device further includes a mask pattern optimization unit that is configured to optimize the mask pattern of the mask on the basis of the sum total brightness.

6. 发明公开

US20240346818A1 INSPECTION DEVICE 审中-公开
公开(公告)号：US20240346818A1
公开(公告)日：2024-10-17
申请号：US18292978
申请日：2022-09-21
申请人： HITACHI, LTD.
发明人： Takafumi MIWA , Sayaka KURATA , Shinichi MATSUBARA , Yuta IMAI
IPC分类号： G06V10/98 , G06T7/00 , G06V10/25 , G06V10/88
CPC分类号： G06V10/993 , G06T7/0014 , G06V10/25 , G06V10/88 , G06T2207/10061
摘要： The purpose of the present invention is to provide an inspection device that can determine the reliability of an image feature value in a target region of an observation image of a sample. This inspection device extracts a first feature value from a target region including an inspection target in an observation image of a sample, extracts a second feature value from a reference region other than the target region in the observation image, and compares the first feature value and the second feature value, thereby calculating the reliability of the first feature value (see FIG. 1).

7. 发明授权

US11775614B2 Unsupervised multi-scale disparity/optical flow fusion 有权
公开(公告)号：US11775614B2
公开(公告)日：2023-10-03
申请号：US17954903
申请日：2022-09-28
申请人： Ambarella International LP
发明人： Zhikan Yang
IPC分类号： G06V10/00 , G06F18/21 , G06T7/285 , G06T7/593 , G06N3/088 , G06V10/88 , G06V10/46 , G06F18/214 , G06F18/241 , G06N3/045
CPC分类号： G06F18/2193 , G06F18/214 , G06F18/2155 , G06F18/241 , G06N3/045 , G06N3/088 , G06T7/285 , G06T7/593 , G06V10/462 , G06V10/88 , G06T2207/10021 , G06T2207/20081 , G06T2207/20084
摘要： An apparatus includes an interface and a processor. The interface may be configured to receive pixel data from a capture device. The processor may be configured to (i) process the pixel data arranged as one or more video frames, (ii) extract features from the one or more video frames, (iii) generate fused maps for at least one of disparity and optical flow in response to the features extracted, (iv) generate regenerated image frames by performing warping on a first subset of the video frames based on (a) the fused maps and (b) first parameters, (v) perform a classification of a sample image frame based on second parameters, and (vi) update the first parameters and the second parameters in response to whether the classification is correct. The classification generally comprises indicating whether the sample image frame is one of a second subset of the video frames or one of the regenerated image frames.

8. 发明授权

US11756299B2 System for preserving image and acoustic sensitivity using reinforcement learning 有权
公开(公告)号：US11756299B2
公开(公告)日：2023-09-12
申请号：US17975903
申请日：2022-10-28
申请人： BANK OF AMERICA CORPORATION
发明人： Madhusudhanan Krishnamoorthy
IPC分类号： G06N3/08 , G06N3/04 , G06K9/62 , G06V20/40 , G06F16/45 , G06F16/435 , G06V10/88 , G06V10/75 , G06F18/214
CPC分类号： G06V20/41 , G06F16/435 , G06F16/45 , G06F18/2148 , G06N3/08 , G06V10/751 , G06V10/88
摘要： Systems, computer program products, and methods are described herein for preserving image and acoustic sensitivity using reinforcement learning. The present invention is configured to initiate a file editing engine on the audiovisual file to separate the audiovisual file into a video component and an audio component; initiate a convolutional neural network (CNN) algorithm on the video component to identify one or more sensitive portions in the one or more image frames; initiate an audio word2vec algorithm on the audio component to identify one or more sensitive portions in the audio component; initiate a masking algorithm on the one or more image frames and the audio component; generate a masked video component and a masked audio component based on at least implementing the masking action policy; and bind, using the file editing engine, the masked video component and the masked audio component to generate a masked audiovisual file.

9. 发明公开

US20230190025A1 INTELLIGENT ITEM RECEPTACLE 审中-公开
公开(公告)号：US20230190025A1
公开(公告)日：2023-06-22
申请号：US18169690
申请日：2023-02-15
申请人： United States Postal Service
发明人： William Albert Tartal , Gabriel Michael Yessin , Mihae Mukaida , Matthew Anthony Borgatti , John David Cranor, III , Nathan Lachenmyer
IPC分类号： A47G29/20 , A47G29/12 , G06V20/00 , G06V10/88 , G06V10/141 , G06V10/147 , B07C3/00 , G06T7/70 , G06T7/20 , A47G29/14 , G06V10/40 , G06V10/12
CPC分类号： A47G29/20 , A47G29/12 , A47G29/14 , A47G29/1207 , A47G29/1218 , A47G29/12095 , B07C3/008 , G06T7/20 , G06T7/70 , G06V10/12 , G06V10/40 , G06V10/88 , G06V10/141 , G06V10/147 , G06V20/00 , G06Q40/12
摘要： An intelligent item receptacle, system, and method for providing supplemental media content in response to depositing an item having media indicia disposed thereon. An intelligent item receptacle includes an item receptacle securely enclosing an interior volume, an item sensor configured to detect an inserted item, a camera within the interior volume configured to capture an image of the item, and an output configured to play audio or visual content to bystanders outside the item receptacle. Processing circuitry within the item receptacle analyzes the image to determine if the media indicia are present on the item and, if present, causes the output to play the audio or visual content associated with the media indicia.

10. 发明授权

US11645842B2 Method for tracing pollution at drainage outlet of culvert 有权
公开(公告)号：US11645842B2
公开(公告)日：2023-05-09
申请号：US17193108
申请日：2021-03-05
申请人： PowerChina Huadong Engineering Corporation Limited
发明人： Yingdong Tang , Yuhang Shao , Shaohua Lou
IPC分类号： G06V20/00 , G06V20/64 , G06V10/88
CPC分类号： G06V20/38 , G06V10/88 , G06V20/64
摘要： A method for tracing pollution at a drainage outlet of a culvert. (1) The main line of the culvert is fully detected through an inspection robot to obtain the image data, water quality data, coordinates and other basic data of the outlet. (2) The type of the outlet is determined according to the data information obtained in step (1). (3) Pollutants in the drainage outlet with suspected rainwater-sewage connection are traced, and sources of the pollutants flowing to the outlet are all located.

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