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公开(公告)号：US20190205664A1
公开(公告)日：2019-07-04
申请号：US16230998
申请日：2018-12-21
发明人： Xiong Duan , Xianpeng Lang , Wang Zhou , Miao Yan , Yifei Zhan , Changjie Ma , Yonggang Jin
CPC分类号： G06K9/00798 , G06K9/03 , G06K9/38 , G06K9/40 , G06K9/48 , G06K9/6256 , G06K9/6273 , G06K2009/363 , G06T5/002 , G06T7/13 , G06T7/74 , G06T2207/30256 , G08G1/167
摘要： According to the exemplary embodiments of the present disclosure, a method and apparatus for detecting a lane line, and a medium are provided. A method for generating a lane line detection model includes: detecting a lane line in an original image to generate a first image associated with the detected lane line; acquiring a second image generated based on the original image and associated with a marked lane line; generating at least one tag indicating whether the detected lane line is accurate, based on the first image and the second image; and training a classifier model for automatically identifying the lane line, based on the first image and the at least one tag. In such case, the lane line detection may be achieved in a simple and effective way.
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公开(公告)号：US20190205612A1
公开(公告)日：2019-07-04
申请号：US16201496
申请日：2018-11-27
发明人： Xuebin HUANG
CPC分类号： G06K9/00087 , G06K9/00006 , G06K9/00973 , G06K9/03
摘要： A fingerprint recognition method includes: from a time when a finger is detected touching a fingerprint recognition portion, a contact area between the finger and the fingerprint recognition portion is acquired at preset time intervals; when the contact area is smaller than a preset area and a number of repeated acquisition times does not reach a preset number of times, the number of repeated acquisition times is updated. The number of repeated acquisition times is configured to determine that fingerprint recognition fails when being accumulated to reach the preset number of times. Prior to the number of repeated acquisition times reaching the preset number of times, when it is detected that the finger leaves the fingerprint recognition portion, the number of repeated acquisition times is reset.
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公开(公告)号：US20190196661A1
公开(公告)日：2019-06-27
申请号：US16230108
申请日：2018-12-21
发明人： Yeonha Baek , Kinyeng Kang , Hyuk-Jin Kim , Minhwan Choi
IPC分类号： G06F3/042 , G09G3/3225 , G06F3/047 , G06K9/03
CPC分类号： G06F3/0428 , G06F3/044 , G06F3/047 , G06F3/0488 , G06F2203/04103 , G06F2203/04111 , G06F2203/04112 , G06K9/03 , G09G3/3225 , G09G2330/08 , H01L27/323
摘要： An electronic apparatus includes: a first sensor pattern including having a first peripheral area extending in a first direction; a second sensor pattern spaced apart from the first sensor pattern and having a second peripheral area, the second peripheral area extending in the first direction and facing the first peripheral area in a second direction intersecting the first direction to form a boundary between the first and second sensor patterns; first and second connection patterns connected to the first and second sensor patterns, respectively, and disposed on layers different from the first connection pattern; and a first pattern overlapping the first peripheral area in a plan view and spaced apart from the second sensor pattern to increase visibility of the boundary, and wherein each of the first sensor pattern and the second sensor pattern includes a plurality of mesh lines defining a plurality of openings.
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公开(公告)号：US20190005345A1
公开(公告)日：2019-01-03
申请号：US16014023
申请日：2018-06-21
申请人： FANUC CORPORATION
发明人： Daisuke UENISHI
CPC分类号： G06K9/344 , G06K9/00442 , G06K9/03 , G06K9/342 , G06K2209/01
摘要： An NC-program conversion device includes an OCR processing unit that recognizes a character string from an input image; a first storage unit that stores one alphabetic letter and the number of digits of a number subsequent to the alphabetic letter, in an associated manner; a second storage unit that stores a program code that is composed of a combination of one alphabetic letter and a two-character number and an effective character that is composed of one alphabetic letter subsequent to the program code, in an associated manner; and a character-string segmenting unit that refers to the first storage unit and the second storage unit, to segment each line of the character string, which is recognized by the OCR processing unit, as program codes stored in the first storage unit in an associated manner.
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公开(公告)号：US20180364731A1
公开(公告)日：2018-12-20
申请号：US15623106
申请日：2017-06-14
申请人： PerceptIn, Inc.
发明人： Shaoshan Liu , Zhe Zhang , Grace Tsai
IPC分类号： G05D1/02 , G06K9/00 , G06T1/60 , G06T1/20 , G06T7/73 , G06K9/46 , G06K9/62 , G06K9/03 , G06T7/50 , G06T7/246 , G05D1/00
CPC分类号： G05D1/0246 , G05D1/0088 , G05D1/027 , G05D1/0274 , G06K9/00208 , G06K9/00664 , G06K9/00711 , G06K9/00791 , G06K9/00986 , G06K9/03 , G06K9/036 , G06K9/46 , G06K9/4661 , G06K9/6202 , G06K9/6289 , G06T1/20 , G06T1/60 , G06T7/207 , G06T7/246 , G06T7/248 , G06T7/50 , G06T7/73 , G06T7/74 , G06T2207/10016 , G06T2207/10028 , G06T2207/30244
摘要： The described positional awareness techniques employing sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy. The sensory data are gathered from an operational camera and one or more auxiliary sensors.
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公开(公告)号：US20180357458A1
公开(公告)日：2018-12-13
申请号：US16104093
申请日：2018-08-16
发明人： HSIN-WEN FANG , MENG-TA YANG
CPC分类号： G06K9/0002 , G01R27/26 , G06K9/03
摘要： A capacitive sensing system is provided, which includes: a pixel matrix for sensing a plurality of voltage variations generated by pressing of a fingerprint; and a calibration unit coupled to the pixel matrix and used for calibrating the plurality of voltage variation of the pixel matrix according to a control signal generated based on the plurality of voltage variations. The capacitive sensing system according to the present disclosure has advantages of improving the consistency of the voltage variations detected by the pixel units and reducing the occurrence of distortion.
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公开(公告)号：US20180341813A1
公开(公告)日：2018-11-29
申请号：US15973114
申请日：2018-05-07
CPC分类号： G06K9/00744 , G06K9/00758 , G06K9/00771 , G06K9/03 , G06K9/4647 , G06T7/194 , G06T7/251 , G06T7/50 , G06T7/90 , G06T2207/10016 , G06T2207/20121
摘要： Techniques and systems are provided for maintaining blob trackers for one or more video frames. For example, a blob tracker is identified for a current video frame. The blob tracker is associated with a blob detected for the current video frame. The blob includes pixels of at least a portion of one or more objects in the current video frame. A current characteristic of pixels in a region of the current video frame associated with the blob tracker is determined. A previous characteristic of pixels in a region of a previous video frame associated with the blob tracker is also determined. A difference is determined between the current characteristic and the previous characteristic, and a status of the blob tracker is determined based on the determined difference. The status of the blob tracker indicating whether to maintain the blob tracker for the one or more video frames.
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公开(公告)号：US20180341748A1
公开(公告)日：2018-11-29
申请号：US15627945
申请日：2017-06-20
申请人： Enlitic, Inc.
发明人： Kevin Lyman , Devon Bernard , Li Yao , Diogo Almeida , Ben Covington , Anthony Upton
CPC分类号： A61B6/5217 , A61B5/002 , A61B5/0022 , A61B6/032 , A61B6/4233 , A61B6/463 , A61B6/50 , A61B6/503 , A61B6/5288 , A61B6/5294 , A61B6/563 , G01T1/247 , G06F3/048 , G06F3/04842 , G06F3/0485 , G06F3/167 , G06F17/241 , G06F17/2765 , G06F17/2785 , G06F19/321 , G06F19/328 , G06F19/3418 , G06K9/03 , G06K9/6202 , G06K9/6215 , G06K9/6256 , G06K9/6267 , G06K2209/05 , G06N3/04 , G06N3/084 , G06Q10/10 , G06Q10/103 , G06Q50/22 , G06T7/0012 , G06T7/0016 , G06T7/11 , G06T11/003 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10116 , G06T2207/10132 , G06T2207/20081 , G06T2207/30004 , G06T2207/30061 , G06T2207/30068 , G16H10/60 , G16H15/00 , G16H30/40 , G16H40/20 , G16H40/63 , G16H50/20 , G16H50/30 , G16H50/50 , H04L67/12 , H04L67/42 , H04N5/32
摘要： A chest x-ray differential diagnosis system is operable to generate abnormality pattern data is generated for each of a received plurality of chest x-rays by identifying at least one pattern in each chest x-ray corresponding to an abnormality by utilizing a computer vision model that is trained on a plurality of training chest x-rays. Differential diagnosis data is generated for each chest x-ray based on the abnormality pattern data. Filtering parameters are received from a client device, and a filtered chest x-ray queue that includes a subset of chest x-rays is selected based on the filtering parameters and the differential diagnosis data is generated for transmission to the client device for display. Differential diagnosis data corresponding a chest x-ray indicated in chest x-ray selection data received from the client device is transmitted to the client device for display via the display device in conjunction with the chest x-ray.
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公开(公告)号：US20180307947A1
公开(公告)日：2018-10-25
申请号：US15906710
申请日：2018-02-27
发明人： Wongun Choi , Samuel Schulter , Kihyuk Sohn , Manmohan Chandraker
CPC分类号： G06K9/6259 , G06K9/03 , G06K9/6201 , G06K9/66 , G06N3/0454 , G06N3/0472 , G06N3/08 , G06T11/001 , G06T11/60
摘要： A system is provided for unsupervised cross-domain image generation relative to a first and second image domain that each include real images. A first generator generates synthetic images similar to real images in the second domain while including a semantic content of real images in the first domain. A second generator generates synthetic images similar to real images in the first domain while including a semantic content of real images in the second domain. A first discriminator discriminates real images in the first domain against synthetic images generated by the second generator. A second discriminator discriminates real images in the second domain against synthetic images generated by the first generator. The discriminators and generators are deep neural networks and respectively form a generative network and a discriminative network in a cyclic GAN framework configured to increase an error rate of the discriminative network to improve synthetic image quality.
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公开(公告)号：US20180225355A1
公开(公告)日：2018-08-09
申请号：US15426465
申请日：2017-02-07
发明人： Nancy A. Greco , Bong Jun Ko , Maroun Touma , Dinesh C. Verma , David A. Wood
IPC分类号： G06F17/30
CPC分类号： G06F16/285 , G06F16/23 , G06K9/03 , G06K9/62 , G06K9/628
摘要： An approach for self-improving classification. The approach receives sensor data of a machine, wherein the sensor data is collected during operation of the machine. The approach defines one or more categories, wherein each category of the one or more categories is associated with one or more parameters. The approach determines whether the sensor data matches one or more parameters of a first category of the one or more categories. Responsive to a determination that the sensor data matches the one or more parameters of the first category, the approach classifies the sensor data into the first category. The approach applies a first category label to the sensor data, wherein the first category label is associated with the first category.
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