WO2023108210 - INFRASTRUCTURE SAFETY INSPECTION SYSTEM
National phase entry is expected:
Publication Number
WO/2023/108210
Publication Date
22.06.2023
International Application No.
PCT/AU2022/051501
International Filing Date
14.12.2022
Title **
[English]
INFRASTRUCTURE SAFETY INSPECTION SYSTEM
[French]
SYSTÈME D'INSPECTION DE SÉCURITÉ D'INFRASTRUCTURE
Applicants **
GEOBOTICA SURVEY PTY LTD
53 Vale Street
Wilston, Queensland 4051, AU
Inventors
CAMPBELL, Lachlan
53 Vale Street
Wilston, Queensland 4051, AU
Priority Data
2021904044
14.12.2021
AU
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
| Number of Priorities | * |
| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
| Pages for Publication | * |
| Number of Pages with Drawings | * |
| Pages of Specification | * |
| * | |
| * | |
International Searching Authority |
IP Australia
* |
| Applicant's Legal Status |
Legal Entity
* |
| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
* |
| Translation |
|
Recalculate
* The data is based on automatic recognition. Please verify and amend if necessary.
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Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing | 1094 | |
| EPO | Filing, Examination | 6366 | |
| Japan | Filing | 590 | |
| South Korea | Filing | 574 | |
| USA | Filing, Examination | 2710 |

Total: 11334 USD
The term for entry into the National Phase has expired. This quotation is for informational purposes only
Abstract[English]
The invention is an infrastructure safety inspection method including the steps of recording images of a structure, acquiring a 3D map of the structure, detecting damage in the structure by analysing 2D images with a neural network and locating the detected damage on the 3D map of the structure.[French]
L'invention concerne un procédé d'inspection de sécurité d'infrastructure comprenant les étapes consistant à enregistrer des images d'une structure, acquérir une carte 3D de la structure, détecter des dommages dans la structure par analyse d'images 2D avec un réseau neuronal et localiser les dommages détectés sur la carte 3D de la structure.