JP2014122887A5 - - Google Patents

Download PDF

Info

Publication number
JP2014122887A5
JP2014122887A5 JP2013241605A JP2013241605A JP2014122887A5 JP 2014122887 A5 JP2014122887 A5 JP 2014122887A5 JP 2013241605 A JP2013241605 A JP 2013241605A JP 2013241605 A JP2013241605 A JP 2013241605A JP 2014122887 A5 JP2014122887 A5 JP 2014122887A5
Authority
JP
Japan
Prior art keywords
features
image data
image
utility network
classifier model
Prior art date
Legal status (The legal status 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 status listed.)
Granted
Application number
JP2013241605A
Other languages
English (en)
Japanese (ja)
Other versions
JP2014122887A (ja
JP6005026B2 (ja
Filing date
Publication date
Priority claimed from US13/801,330 external-priority patent/US9219886B2/en
Application filed filed Critical
Publication of JP2014122887A publication Critical patent/JP2014122887A/ja
Publication of JP2014122887A5 publication Critical patent/JP2014122887A5/ja
Application granted granted Critical
Publication of JP6005026B2 publication Critical patent/JP6005026B2/ja
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

JP2013241605A 2012-12-17 2013-11-22 地下ボーリングおよび検査作業中に生成されたイメージデータを分析するための方法および装置 Expired - Fee Related JP6005026B2 (ja)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US201261738103P 2012-12-17 2012-12-17
US61/738,103 2012-12-17
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
US13/801,330 2013-03-13

Publications (3)

Publication Number Publication Date
JP2014122887A JP2014122887A (ja) 2014-07-03
JP2014122887A5 true JP2014122887A5 (https=) 2016-04-07
JP6005026B2 JP6005026B2 (ja) 2016-10-12

Family

ID=49766866

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2013241605A Expired - Fee Related JP6005026B2 (ja) 2012-12-17 2013-11-22 地下ボーリングおよび検査作業中に生成されたイメージデータを分析するための方法および装置

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

Similar Documents

Publication Publication Date Title
JP2014122887A5 (https=)
US11250324B2 (en) Intelligent recognition and alert methods and systems
Arya et al. RDD2020: An annotated image dataset for automatic road damage detection using deep learning
RU2013155978A (ru) Способ и устройство для анализа данных изображений, полученных в процессе подземного бурения или в процессе технического контроля
US20230359896A1 (en) Intelligent recognition and alert methods and systems
US11037024B1 (en) Crowdsourced on-demand AI data annotation, collection and processing
WO2020192469A1 (zh) 图像语义分割网络的训练方法、装置、设备及存储介质
CN112166438A (zh) 确定性标记数据生成和人工智能训练途径
US20240385071A1 (en) Remote pneumatic testing system
CN104717468B (zh) 基于集群轨迹分类的集群场景智能监控方法及系统
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
CN107194396A (zh) 国土资源视频监控系统中基于特定违章建筑识别预警方法
US20230086045A1 (en) Intelligent recognition and alert methods and systems
CN110135343A (zh) 一种路灯智能检测与夜间状态判断方法
CN115083229B (zh) 基于ai视觉识别的飞行训练设备智能识别与警示系统
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
US20240256870A1 (en) Mobile content source for use with intelligent recognition and alert methods and systems
CN112613569A (zh) 图像识别方法、图像分类模型的训练方法及装置
Pronello et al. A low-cost automatic people-counting system at bus stops using Wi-Fi probe requests and deep learning
Malekloo et al. AI‐enabled airport runway pavement distress detection using dashcam imagery
Chen et al. Research and implementation of road damage detection algorithm based on object detection network
Kulambayev et al. Real-Time Road Damage Detection System on Deep Learning Based Image Analysis.
CN104077571B (zh) 一种采用单类序列化模型的人群异常行为检测方法
CN119625576B (zh) 无人机航拍图像处理方法、系统、设备及存储介质
CN114358423A (zh) 处理针对幕墙的建筑数据的方法