RU2013155978A - Способ и устройство для анализа данных изображений, полученных в процессе подземного бурения или в процессе технического контроля - Google Patents

Способ и устройство для анализа данных изображений, полученных в процессе подземного бурения или в процессе технического контроля Download PDF

Info

Publication number
RU2013155978A
RU2013155978A RU2013155978/08A RU2013155978A RU2013155978A RU 2013155978 A RU2013155978 A RU 2013155978A RU 2013155978/08 A RU2013155978/08 A RU 2013155978/08A RU 2013155978 A RU2013155978 A RU 2013155978A RU 2013155978 A RU2013155978 A RU 2013155978A
Authority
RU
Russia
Prior art keywords
image data
classifier model
defects
features
classifier
Prior art date
Application number
RU2013155978/08A
Other languages
English (en)
Russian (ru)
Inventor
Джош СУЙ
Джастин ДОУ
Original Assignee
Эмерсон Электрик Ко.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Эмерсон Электрик Ко. filed Critical Эмерсон Электрик Ко.
Publication of RU2013155978A publication Critical patent/RU2013155978A/ru

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00—Survey of boreholes or wells
    • E21B47/002—Survey of boreholes or wells by visual inspection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Mining & Mineral Resources (AREA)
  • Geology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Quality & Reliability (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Environmental & Geological Engineering (AREA)
  • Fluid Mechanics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geophysics (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Image Analysis (AREA)
  • Geophysics And Detection Of Objects (AREA)
RU2013155978/08A 2012-12-17 2013-12-17 Способ и устройство для анализа данных изображений, полученных в процессе подземного бурения или в процессе технического контроля RU2013155978A (ru)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US201261738103P 2012-12-17 2012-12-17
US61/738103 2012-12-17
US13/801330 2013-03-13
US13/801,330 US9219886B2 (en) 2012-12-17 2013-03-13 Method and apparatus for analyzing image data generated during underground boring or inspection activities

Publications (1)

Publication Number Publication Date
RU2013155978A true RU2013155978A (ru) 2015-06-27

Family

ID=49766866

Family Applications (1)

Application Number Title Priority Date Filing Date
RU2013155978/08A RU2013155978A (ru) 2012-12-17 2013-12-17 Способ и устройство для анализа данных изображений, полученных в процессе подземного бурения или в процессе технического контроля

Country Status (6)

Country Link
US (1) US9219886B2 (https=)
EP (1) EP2743447A1 (https=)
JP (1) JP6005026B2 (https=)
CN (1) CN103867186B (https=)
CA (1) CA2834268A1 (https=)
RU (1) RU2013155978A (https=)

Families Citing this family (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10427290B2 (en) 2017-07-18 2019-10-01 General Electric Company Crawler robot for in situ gap inspection
US20140292616A1 (en) * 2013-03-28 2014-10-02 Nvidia Corporation Computer monitor equalization using handheld device
JP6428089B2 (ja) 2014-09-24 2018-11-28 日亜化学工業株式会社 発光装置
US10469511B2 (en) * 2016-03-28 2019-11-05 Cisco Technology, Inc. User assistance coordination in anomaly detection
KR101782363B1 (ko) * 2016-05-23 2017-09-27 (주)에이앤아이 데이터 밸런싱을 통한 학습기반의 비전검사 방법
CN106157182B (zh) * 2016-07-07 2021-03-23 云南省交通规划设计研究院有限公司 一种公路隧道仰拱质量缺陷程度的判定方法
EP3340106B1 (en) * 2016-12-23 2023-02-08 Hexagon Technology Center GmbH Method and system for assigning particular classes of interest within measurement data
US10434641B2 (en) 2017-07-18 2019-10-08 General Electric Company In situ gap inspection robot system and method
US10603802B2 (en) 2017-07-18 2020-03-31 General Electric Company End region inspection module and method for in situ gap inspection robot system
US10427734B2 (en) 2017-07-18 2019-10-01 General Electric Company Omnidirectional traction module for a robot
US10596713B2 (en) 2017-07-18 2020-03-24 General Electric Company Actuated sensor module and method for in situ gap inspection robots
KR102579904B1 (ko) * 2018-01-31 2023-09-19 삼성전자주식회사 비전 검사 관리 방법 및 비전 검사 시스템
WO2019213534A1 (en) 2018-05-04 2019-11-07 Hydromax USA, LLC Pipe inspection systems and methods
US12229841B2 (en) * 2018-06-27 2025-02-18 Hydromax USA, LLC Cross-bore risk assessment and risk management tool
CN109145951B (zh) * 2018-07-23 2022-04-12 昆明理工大学 一种基于贝叶斯网络的隧道衬砌结构服役状况评价方法
CN112840383B (zh) * 2018-10-24 2024-03-08 富士通先端科技株式会社 纸币检查装置、纸币检查方法及纸币检查程序
CN109583486A (zh) * 2018-11-21 2019-04-05 银河水滴科技（北京）有限公司 一种检测待测环境异常区域的方法及装置
US12151751B2 (en) 2019-08-20 2024-11-26 Ge Infrastructure Technology Llc Traction module for robot with variable extension positions
EP4018210B1 (en) 2019-08-20 2026-01-14 GE Vernova Technology GmbH Visual inspection module with dual view paths for robot
WO2021211579A1 (en) * 2020-04-13 2021-10-21 X Development Llc Subsurface lithological model with machine learning
BR102020012943A2 (pt) * 2020-06-24 2022-01-04 Petróleo Brasileiro S.A. - Petrobras Script computacional para tratamento de imagens e sua aplicação em método para determinação de image fáceis
CN113256551B (zh) * 2021-01-21 2023-03-14 中国煤炭科工集团太原研究院有限公司 基于机器视觉的巷道顶板刚带钻孔识别定位系统及方法
FR3122924B1 (fr) * 2021-05-12 2024-11-15 Veolia Environnement Système d’identification de défaut dans une canalisation
DE102022203605A1 (de) * 2022-04-11 2023-10-12 Robert Bosch Gesellschaft mit beschränkter Haftung Verfahren für ein Detektionsgerät; Detektionsgerät
CN117150691B (zh) * 2023-08-30 2024-12-27 广州地铁设计研究院股份有限公司 钻探施工过程中的地下管线识别方法、装置及存储介质

Family Cites Families (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS61193090A (ja) * 1985-02-22 1986-08-27 Nippon Kokan Kk <Nkk> 地中障害物検知器
US4974168A (en) 1988-04-19 1990-11-27 Cherne Industries, Inc. Automatic pipeline data collection and display system
US5331550A (en) 1991-03-05 1994-07-19 E. I. Du Pont De Nemours And Company Application of neural networks as an aid in medical diagnosis and general anomaly detection
DE4328031A1 (de) 1992-09-24 1994-03-31 Deutsche Aerospace Verfahren zum Erkennen einer Fehlstelle
US5454276A (en) 1993-07-30 1995-10-03 Wernicke; Timothy K. Multi-directional magnetic flux pipe inspection apparatus and method
FR2712663B1 (fr) 1993-11-18 1996-01-19 Val De Marne General Conseil Appareil d'inspection de l'état physique de canalisations non accessibles ou visitables par l'homme.
JP2741653B2 (ja) * 1994-06-03 1998-04-22 トシマ建設工業株式会社 薬液注入用削孔管
US5742517A (en) 1995-08-29 1998-04-21 Integrated Computer Utilities, Llc Method for randomly accessing stored video and a field inspection system employing the same
US6175380B1 (en) 1996-08-28 2001-01-16 Peninsular Technologies, Llc Method for randomly accessing stored imagery and a field inspection system employing the same
US5892163A (en) 1998-01-27 1999-04-06 Geophysical Survey Systems, Inc. Sewer and pipeline inspection transporter tool
US6239593B1 (en) 1998-09-21 2001-05-29 Southwest Research Institute Method and system for detecting and characterizing mechanical damage in pipelines using nonlinear harmonics techniques
US6650779B2 (en) 1999-03-26 2003-11-18 Georgia Tech Research Corp. Method and apparatus for analyzing an image to detect and identify patterns
US7215811B2 (en) 2000-11-22 2007-05-08 Osama Moselhi Method and apparatus for the automated detection and classification of defects in sewer pipes
US20030118230A1 (en) 2001-12-22 2003-06-26 Haoshi Song Coiled tubing inspection system using image pattern recognition
US7131344B2 (en) 2002-03-13 2006-11-07 Burn-Am Co., Ltd. Device and method for inspecting inside of underground pipe line and method of inspecting concrete on inside of underground pipe line for deterioration
US7181985B2 (en) 2005-05-27 2007-02-27 Breval Technical Services Limited Conduit inspection apparatus and method
US8087311B2 (en) 2007-02-28 2012-01-03 Merlo Stephen A Remote pipe inspection using a mounted camera and sensor
US20100127922A1 (en) 2008-11-21 2010-05-27 Emerson Electric Co. System for sharing video captured at jobsite
WO2011080590A2 (en) 2009-12-30 2011-07-07 Sewervue Technology Corp. Apparatus and method for inspection of underground sewer pipes
US8988969B2 (en) 2010-04-23 2015-03-24 Underground Imaging Technologies, Inc. Detection of cross bores involving buried utilities
DE112012003059B4 (de) 2011-07-21 2023-12-14 Emerson Electric Co. Visuelles inspektionssystem sowie kameragestänge zur verwendung in einem unterirdischen bohrvorgang

Also Published As

Publication number Publication date
JP2014122887A (ja) 2014-07-03
CN103867186A (zh) 2014-06-18
US9219886B2 (en) 2015-12-22
CA2834268A1 (en) 2014-06-17
US20140168408A1 (en) 2014-06-19
CN103867186B (zh) 2018-05-25
EP2743447A1 (en) 2014-06-18
JP6005026B2 (ja) 2016-10-12

Similar Documents

Publication Publication Date Title
RU2013155978A (ru) Способ и устройство для анализа данных изображений, полученных в процессе подземного бурения или в процессе технического контроля
JP2014122887A5 (https=)
Arya et al. RDD2020: An annotated image dataset for automatic road damage detection using deep learning
CN113095434B (zh) 目标检测方法及装置、电子设备、存储介质
US11037024B1 (en) Crowdsourced on-demand AI data annotation, collection and processing
CN110659662B (zh) 利用人工智能的瑕疵检测系统及其方法
JP2018525734A5 (https=)
WO2013104937A3 (en) Two stage categorization of objects in images
JP2018526723A5 (https=)
CN111160432A (zh) 一种面板生产制造缺陷的自动分类方法及系统
WO2019105131A1 (zh) 用于监控的图像识别方法及系统、计算设备以及可读存储介质
CN110019617B (zh) 地址标识的确定方法和装置、存储介质、电子装置
CN104766086A (zh) 一种公路标识的监管方法和系统
CN108761237A (zh) 无人机电力巡检图像关键电力部件自动诊断与标注系统
EA201071262A1 (ru) Система и способ для интерпретации скважинных данных
CN113963331B (zh) 信号灯识别模型训练方法、信号灯识别方法及相关装置
CN110458794B (zh) 用于轨道列车的配件质量检测方法及装置
CN108038424A (zh) 一种适用于高空作业的视觉自动化检测方法
RU2014151867A (ru) Система дистанционной диагностики
US20190344886A1 (en) System and method for autonomously monitoring light poles using an unmanned aerial vehicle
CN113269039A (zh) 一种在岗人员行为识别方法和系统
CN111709941A (zh) 一种面向病理图像的轻量级自动化深度学习系统及方法
CN114417981A (zh) 一种智能河长巡测系统
Chen et al. Research and implementation of road damage detection algorithm based on object detection network
CN107463959A (zh) 一种基于bp神经网络的果实蝇识别方法

Legal Events

Date Code Title Description
FA93 Acknowledgement of application withdrawn (no request for examination)

Effective date: 20161220