SG11202101353TA - A method and apparatus for training a neural network to identify cracks - Google Patents
A method and apparatus for training a neural network to identify cracksInfo
- Publication number
- SG11202101353TA SG11202101353TA SG11202101353TA SG11202101353TA SG11202101353TA SG 11202101353T A SG11202101353T A SG 11202101353TA SG 11202101353T A SG11202101353T A SG 11202101353TA SG 11202101353T A SG11202101353T A SG 11202101353TA SG 11202101353T A SG11202101353T A SG 11202101353TA
- Authority
- SG
- Singapore
- Prior art keywords
- training
- neural network
- identify cracks
- cracks
- identify
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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
- G06T2207/30108—Industrial image inspection
- G06T2207/30132—Masonry; Concrete
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
SG10201807490P | 2018-08-31 | ||
PCT/SG2019/050433 WO2020046213A1 (en) | 2018-08-31 | 2019-08-30 | A method and apparatus for training a neural network to identify cracks |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11202101353TA true SG11202101353TA (en) | 2021-03-30 |
Family
ID=69645838
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11202101353TA SG11202101353TA (en) | 2018-08-31 | 2019-08-30 | A method and apparatus for training a neural network to identify cracks |
Country Status (2)
Country | Link |
---|---|
SG (1) | SG11202101353TA (en) |
WO (1) | WO2020046213A1 (en) |
Families Citing this family (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111612747B (en) * | 2020-04-30 | 2023-10-20 | 湖北煌朝智能自动化装备有限公司 | Rapid detection method and detection system for product surface cracks |
CN111563888A (en) * | 2020-05-06 | 2020-08-21 | 清华大学 | Quantitative crack growth monitoring method |
CN112419244B (en) * | 2020-11-11 | 2022-11-01 | 浙江大学 | Concrete crack segmentation method and device |
CN112634195A (en) * | 2020-11-23 | 2021-04-09 | 清华大学 | Concrete structure crack prediction method, device and system |
CN112465776B (en) * | 2020-11-26 | 2023-10-31 | 常州信息职业技术学院 | Crack intelligent detection method based on wind turbine surface blurred image |
US11544919B2 (en) | 2020-12-09 | 2023-01-03 | Precisionhawk, Inc. | Drone inspection of an undifferentiated surface using a reference image |
CN112581441A (en) * | 2020-12-10 | 2021-03-30 | 北京工业大学 | Pavement crack detection method and device, electronic equipment and storage medium |
CN112700423B (en) * | 2021-01-06 | 2023-05-05 | 中国民航科学技术研究院 | Deep learning-based automatic detection method and system for surface damage defects of airframe |
CN113011397B (en) * | 2021-04-27 | 2024-03-29 | 北京工商大学 | Multi-factor cyanobacterial bloom prediction method based on remote sensing image 4D-Fractalnet |
CN113627475A (en) * | 2021-07-07 | 2021-11-09 | 厦门市美亚柏科信息股份有限公司 | Method and device for carrying out uncertainty estimation on sample |
CN113838013A (en) * | 2021-09-13 | 2021-12-24 | 中国民航大学 | Blade crack real-time detection method and device in aero-engine operation and maintenance based on YOLOv5 |
CN114418937B (en) * | 2021-12-06 | 2022-10-14 | 北京邮电大学 | Pavement crack detection method and related equipment |
CN115184372B (en) * | 2022-07-13 | 2023-04-18 | 水利部交通运输部国家能源局南京水利科学研究院 | Intelligent detection device and method for micro-crack fluorescence permeation of inaccessible part of concrete structure |
CN115423829B (en) * | 2022-07-29 | 2024-03-01 | 江苏省水利科学研究院 | Method and system for rapidly extracting water body of single-band remote sensing image |
CN117540626A (en) * | 2023-10-30 | 2024-02-09 | 南通大学 | Fixed wing unmanned aerial vehicle situation prediction method based on Bayesian neural network |
CN117495147B (en) * | 2023-12-22 | 2024-03-22 | 中国石油大学(华东) | Crack network expansion intelligent prediction method considering intersegmental fracturing process difference |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105787486B (en) * | 2015-12-11 | 2019-04-09 | 昆明理工大学 | A kind of girder steel crack detecting method based on image procossing |
WO2018165753A1 (en) * | 2017-03-14 | 2018-09-20 | University Of Manitoba | Structure defect detection using machine learning algorithms |
CN108198173B (en) * | 2017-12-28 | 2019-11-26 | 石家庄铁道大学 | A kind of online test method, device and the terminal device in distress in concrete region |
-
2019
- 2019-08-30 SG SG11202101353TA patent/SG11202101353TA/en unknown
- 2019-08-30 WO PCT/SG2019/050433 patent/WO2020046213A1/en active Application Filing
Also Published As
Publication number | Publication date |
---|---|
WO2020046213A1 (en) | 2020-03-05 |
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