公开(公告)号：US20240218615A1

公开(公告)日：2024-07-04

申请号：US18092873

申请日：2023-01-03

Applicant: Crafco, Inc.

Inventor： Austin Van Putten ,  Jarod Hanko

IPC: E01C23/07 ,  E01C23/01 ,  G06T7/00

CPC classification number: E01C23/07 ,  E01C23/01 ,  G06T7/0008 ,  G06T2207/30132

Abstract: Systems and methods for pave surface management are described. A system for identifying and sealing cracks of a paved surface can include a camera and a robotic arm coupled to a vehicle, and a processor. The robotic arm includes one or more actuators configured to affect motion of the robotic arm and a distal sealant applicator. The processor is configured to selectively trigger the camera to capture images of the paved surface, determine that a plurality of pixels for each captured image meets or surpasses a similarity threshold of a crack using image recognition, generate a priority list of the plurality of pixels based on a cost function, and command the robotic arm to apply sealant to the paved surface at locations corresponding to each of the plurality of pixels based on the priority list.

公开(公告)号：US11915408B2

公开(公告)日：2024-02-27

申请号：US18147256

申请日：2022-12-28

Applicant: University of Central Florida Research Foundation, Inc.

Inventor： Enes Karaaslan ,  Fikret Necati Catbas ,  Ulas Bagci

IPC: G06T7/00 ,  G06F3/01 ,  G06T7/11 ,  G02B27/01 ,  G06V10/94 ,  G06V10/774

CPC classification number: G06T7/0004 ,  G02B27/0172 ,  G06F3/011 ,  G06T7/11 ,  G06V10/774 ,  G06V10/95 ,  G02B2027/014 ,  G02B2027/0138 ,  G02B2027/0141 ,  G06T2200/24 ,  G06T2207/20081 ,  G06T2207/30132 ,  G06T2210/12

Abstract: A smart, human-centered technique that uses artificial intelligence and mixed reality to accelerate essential tasks of the inspectors such as defect measurement, condition assessment and data processing. For example, a bridge inspector can analyze some remote cracks located on a concrete pier, estimate their dimensional properties and perform condition assessment in real-time. The inspector can intervene in any step of the analysis/assessment and correct the operations of the artificial intelligence. Thereby, the inspector and the artificial intelligence will collaborate/communicate for improved visual inspection. This collective intelligence framework can be integrated in a mixed reality supported see-through headset or a hand-held device with the availability of sufficient hardware and sensors. Consequently, the methods reduce the inspection time and associated labor costs while ensuring reliable and objective infrastructure evaluation. Such methods offer contributions to infrastructure inspection, maintenance, management practice, and safety for the inspection personnel.

公开(公告)号：US11908124B2

公开(公告)日：2024-02-20

申请号：US18346458

申请日：2023-07-03

Applicant: Chongqing University

Inventor： Hui Wang ,  Zijie Lin ,  Wenruo Fan

IPC: G06T7/00 ,  G06T7/11 ,  G06T3/40 ,  G06V10/40

CPC classification number: G06T7/0004 ,  G06T3/4092 ,  G06T7/11 ,  G06V10/40 ,  G06T2207/20021 ,  G06T2207/30132

Abstract: Provided is a pavement nondestructive detection and identification method based on small samples, including: constructing an original dataset, dividing the original dataset into several patch blocks, sampling the patch blocks, and obtaining samples of the patch blocks; inputting the samples of the patch blocks into a Transformer model for feature extraction and target reconstruction, and obtaining a trained Transformer model; and based on the trained Transformer model, detecting input pavement sample images.

公开(公告)号：US20180053130A1

公开(公告)日：2018-02-22

申请号：US15679127

申请日：2017-08-16

Applicant: HEXAGON TECHNOLOGY CENTER GMBH

Inventor： Bo PETTERSSON ,  Håkan ANDERSSON ,  Jonas WEDIN

IPC: G06Q10/06 ,  G06T19/00 ,  G06Q10/10 ,  G06T7/00

CPC classification number: G06Q10/06311 ,  G06Q10/063114 ,  G06Q10/06316 ,  G06Q10/06395 ,  G06Q10/06398 ,  G06Q10/103 ,  G06Q50/08 ,  G06T7/001 ,  G06T19/003 ,  G06T19/006 ,  G06T2207/10028 ,  G06T2207/20076 ,  G06T2207/30132

Abstract: A construction site management system with building information modelling (BIM) functionality. The system includes a server for maintenance of a three-dimensional gross model of a construction site, a mobile device connected to the server, wherein the server is configured to derive a three-dimensional net model from the gross model based at least in part on a work package, the work package being assigned from the server to the mobile device and comprising references to locations within the gross model, wherein the mobile device is configured to retrieve the net model from the server and provide the net model on a screen as a graphical user interface (GUI).

公开(公告)号：US20170038307A1

公开(公告)日：2017-02-09

申请号：US15304484

申请日：2015-02-19

Applicant: NEC Corporation

Inventor： Masahiko OHTA ,  Jun TAKADA ,  Hiroshi IMAI ,  Atsushi HATABU ,  Gaku NAKANO ,  Zhen WANG ,  Yuzo SENDA

IPC: G01N21/88 ,  G01B11/16

CPC classification number: G01N21/8851 ,  G01B11/16 ,  G01N21/84 ,  G01N21/88 ,  G06T7/0004 ,  G06T2207/30132

Abstract: For detecting a crack formed on a structure surface without erroneously, an information processing device that detects a crack on a structure, includes a change detection unit that detects a change in positions of at least two measurement points on the structure; and a crack detection unit that detects a crack based on the change in the positions of the measurement points detected by the change detection unit.

Abstract translation: 为了在没有错误地检测结构表面上形成的裂纹的情况下，检测结构上的裂纹的信息处理装置包括检测结构上的至少两个测量点的位置变化的变化检测单元; 以及裂纹检测单元，其基于由所述变化检测单元检测到的测量点的位置的变化来检测裂纹。

公开(公告)号：US20170004380A1

公开(公告)日：2017-01-05

申请号：US15196054

申请日：2016-06-29

Applicant: MEDIATEK INC.

Inventor： Chun-Chia Chen ,  Liang-Che Sun

IPC: G06K9/62 ,  G06T7/00

CPC classification number: G06T7/0004 ,  G06K9/6267 ,  G06K2209/17 ,  G06T2207/10024 ,  G06T2207/10132 ,  G06T2207/20004 ,  G06T2207/30128 ,  G06T2207/30132

Abstract: An object analyzing method applied to an object analyzing system. The object analyzing method comprises: (a) applying at least one analyzing parameter extracting process according to an object type for an target object, to extract at least one analyzing parameter for the target object; (b) selecting least one analyzing model according to the object type; and (c) applying the analyzing model selected in the step (b), to analyze the analyzing parameter and accordingly generate an analyzing result.

Abstract translation: 一种应用于对象分析系统的对象分析方法。 对象分析方法包括：（a）根据目标对象的对象类型应用至少一个分析参数提取处理，以提取目标对象的至少一个分析参数; （b）根据对象类型选择最少一个分析模型; 和（c）应用在步骤（b）中选择的分析模型，分析分析参数，从而生成分析结果。

公开(公告)号：US09443042B1

公开(公告)日：2016-09-13

申请号：US14628091

申请日：2015-02-20

Applicant: US SYNTHETIC CORPORATION

Inventor： Craig H. Cooley ,  Debkumar Mukhopadhyay ,  Kenneth E. Bertagnolli

IPC: G06K9/00 ,  G06F17/50 ,  G06F17/10

CPC classification number: G06F17/5009 ,  G01N23/046 ,  G01N2223/606 ,  G01N2223/615 ,  G06F17/10 ,  G06T7/0004 ,  G06T2207/10081 ,  G06T2207/30132

Abstract: Embodiments of systems and methods are disclosed for evaluating a superabrasive material by a three-dimensional model generated using a computed tomography scanner. The model is analyzed to identify a superabrasive matrix within the model and at least one performance characteristic of the superabrasive material is determined according to at least one property of the superabrasive matrix. Methods are also disclosed for characterizing crystal-to-crystal bonding regions and non-superabrasive material within an interstitial matrix of the superabrasive matrix.

Abstract translation: 公开了用于通过使用计算机断层摄影扫描仪产生的三维模型来评估超级磨料的系统和方法的实施例。 分析该模型以识别模型内的超研磨基质，并根据超级磨料基质的至少一种性质确定超级磨料材料的至少一种性能特征。 还公开了用于表征超研磨基质的间隙基质内的晶体 - 晶体结合区域和非超研磨材料的方法。

公开(公告)号：US09348056B2

公开(公告)日：2016-05-24

申请号：US14453466

申请日：2014-08-06

Applicant: BP Corporation North America Inc.

Inventor： Joanne Fredrich ,  Nathan Lane ,  Julianna Toms

IPC: G06K9/00 ,  G01V8/00 ,  G01N33/24 ,  G06T7/00 ,  G01N23/04 ,  G06F17/50

CPC classification number: G01V8/00 ,  G01N23/046 ,  G01N33/24 ,  G06F17/5018 ,  G06T7/11 ,  G06T7/136 ,  G06T2207/10072 ,  G06T2207/10081 ,  G06T2207/20112 ,  G06T2207/30132

Abstract: A testing system for performing image based direct numerical simulation to characterize petrophysical properties of a rock sample under the simulated deformation condition, for example as representative of subsurface conditions. A digital image volume corresponding to x-ray tomographic images of a rock sample is segmented into its significant elastic phases, such as pore space, clay fraction, grain contacts and mineral type, and overlaid with an unstructured finite element mesh. A simulated deformation is applied to the segmented image volume, and the resulting deformed unstructured mesh is numerically analyzed, for example by way of direct numerical simulation, to determine the desired petrophysical properties.

Abstract translation: 一种用于进行基于图像的直接数值模拟以在模拟变形条件下表征岩石样品的岩石物理性质的测试系统，例如作为地下条件的代表。 对应于岩石样品的X射线断层图像的数字图像体积被分割成其显着的弹性相，例如孔隙，粘土分数，晶粒接触和矿物类型，并且覆盖有非结构化的有限元网格。 对分割的图像体积应用模拟变形，并且例如通过直接数值模拟来数值地分析所得到的变形的非结构化网格以确定期望的岩石物理性质。

公开(公告)号：US20160133008A1

公开(公告)日：2016-05-12

申请号：US14850803

申请日：2015-09-10

Applicant: KABUSHIKI KAISHA TOSHIBA

Inventor： Takaaki Kuratate ,  Susumu Kubota ,  Norihiro Nakamura ,  Ryo Nakashima ,  Masaki Yamazaki ,  Akihito Seki

IPC: G06T7/00

CPC classification number: G06T7/001 ,  G06K9/48 ,  G06T7/12 ,  G06T2207/30108 ,  G06T2207/30132

Abstract: According to one embodiment, a crack data collection method includes acquiring an image obtained by photographing an inspection object region for a crack in a structure, detecting a crack pixel group included in the inspection object region from the image, successively setting turning points from a starting point to an end point on a contour of the crack pixel group, and analyzing and collecting positions of the starting point, the turning points, and the end point and a vector of each of the points, as crack data.

Abstract translation: 根据一个实施例，裂纹数据收集方法包括获取通过拍摄结构中的裂纹的检查对象区域获得的图像，从图像中检测检查对象区域中包括的裂纹像素组，从起始开始依次设定转折点 指向裂纹像素组的轮廓上的终点，并分析和收集起点，转折点和终点的位置以及每个点的向量作为裂纹数据。

公开(公告)号：US09235902B2

公开(公告)日：2016-01-12

申请号：US13567969

申请日：2012-08-06

Applicant: Mohammad R. Jahanshahi ,  Sami Masri

Inventor： Mohammad R. Jahanshahi ,  Sami Masri

IPC: G06K9/46 ,  G06T7/00 ,  G06K9/00

CPC classification number: G06T7/0081 ,  G06K9/00624 ,  G06T7/0004 ,  G06T7/11 ,  G06T7/155 ,  G06T2207/20036 ,  G06T2207/20081 ,  G06T2207/30132

Abstract: Contact-less remote-sensing crack detection and/quantification methodologies are described, which are based on three-dimensional (3D) scene reconstruction, image processing, and pattern recognition. The systems and methodologies can utilize depth perception for detecting and/or quantifying cracks. These methodologies can provide the ability to analyze images captured from any distance and using any focal length or resolution. This adaptive feature may be especially useful for incorporation into mobile systems, such as unmanned aerial vehicles (UAV) or mobile autonomous or semi-autonomous robotic systems such as wheel-based or track-based radio controlled robots, as utilizing such structural inspection methods onto those mobile platforms may allow inaccessible regions to be properly inspected for cracks.

Abstract translation: 描述了基于三维（3D）场景重建，图像处理和模式识别的无接触遥感裂纹检测和/量化方法。 系统和方法可以利用深度感知来检测和/或定量裂缝。 这些方法可以提供分析从任何距离拍摄的图像并使用任何焦距或分辨率的能力。 这种自适应特征对于结合到诸如无人驾驶飞行器（UAV）或移动自主或半自主机器人系统（例如基于轮子或轨道的无线电控制机器人）的移动系统中可能特别有用，因为将这种结构检查方法应用到 那些移动平台可能允许不可接近的区域被适当地检查裂缝。