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WO2025188376A3 - Analyzing infrastructure using defect and change detection - Google Patents

Analyzing infrastructure using defect and change detection

Info

Publication number
WO2025188376A3
WO2025188376A3 PCT/US2024/054223 US2024054223W WO2025188376A3 WO 2025188376 A3 WO2025188376 A3 WO 2025188376A3 US 2024054223 W US2024054223 W US 2024054223W WO 2025188376 A3 WO2025188376 A3 WO 2025188376A3
Authority
WO
WIPO (PCT)
Prior art keywords
defects
models
analyzing
defect
change detection
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.)
Pending
Application number
PCT/US2024/054223
Other languages
French (fr)
Other versions
WO2025188376A8 (en
WO2025188376A2 (en
Inventor
Akira Tomita
Onur BILGILI
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Niricson Inc
Original Assignee
Niricson Inc
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 Niricson Inc filed Critical Niricson Inc
Publication of WO2025188376A2 publication Critical patent/WO2025188376A2/en
Publication of WO2025188376A8 publication Critical patent/WO2025188376A8/en
Publication of WO2025188376A3 publication Critical patent/WO2025188376A3/en
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30181—Earth observation
    • G06T2207/30184—Infrastructure

Landscapes

  • Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A platform for automatically detecting and analyzing defects in infrastructure assets uses aerial imagery, machine learning models and an interactive geographic information system (GIS) interface. Drone or aircraft images are processed by deep neural networks to identify and quantify surface and subsurface defects. Defects are mapped onto 3D models with precise geospatial coordinates. A web platform allows engineers to visualize defects from individual or multiple time periods, filter and query based on attributes, analyze density heatmaps, highlight changes, and perform side-by-side comparative analysis. The unique interface enables rapid condition assessments to support proactive maintenance.
PCT/US2024/054223 2023-11-03 2024-11-01 Platform for analyzing the condition of infrastructure using automated defect and change detection Pending WO2025188376A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202363547283P 2023-11-03 2023-11-03
US63/547,283 2023-11-03

Publications (3)

Publication Number Publication Date
WO2025188376A2 WO2025188376A2 (en) 2025-09-12
WO2025188376A8 WO2025188376A8 (en) 2025-10-02
WO2025188376A3 true WO2025188376A3 (en) 2025-11-06

Family

ID=96991714

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2024/054223 Pending WO2025188376A2 (en) 2023-11-03 2024-11-01 Platform for analyzing the condition of infrastructure using automated defect and change detection

Country Status (1)

Country Link
WO (1) WO2025188376A2 (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140115535A1 (en) * 2012-10-18 2014-04-24 Dental Imaging Technologies Corporation Overlay maps for navigation of intraoral images
US20180157933A1 (en) * 2016-12-07 2018-06-07 Kla-Tencor Corporation Data Augmentation for Convolutional Neural Network-Based Defect Inspection
US20210174492A1 (en) * 2019-12-09 2021-06-10 University Of Central Florida Research Foundation, Inc. Methods of artificial intelligence-assisted infrastructure assessment using mixed reality systems
US20220373473A1 (en) * 2020-10-05 2022-11-24 Novi Llc Surface defect monitoring system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140115535A1 (en) * 2012-10-18 2014-04-24 Dental Imaging Technologies Corporation Overlay maps for navigation of intraoral images
US20180157933A1 (en) * 2016-12-07 2018-06-07 Kla-Tencor Corporation Data Augmentation for Convolutional Neural Network-Based Defect Inspection
US20210174492A1 (en) * 2019-12-09 2021-06-10 University Of Central Florida Research Foundation, Inc. Methods of artificial intelligence-assisted infrastructure assessment using mixed reality systems
US20220373473A1 (en) * 2020-10-05 2022-11-24 Novi Llc Surface defect monitoring system

Also Published As

Publication number Publication date
WO2025188376A8 (en) 2025-10-02
WO2025188376A2 (en) 2025-09-12

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