Invention Grant
- Patent Title: Methods of artificial intelligence-assisted infrastructure assessment using mixed reality systems
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Application No.: US18147279Application Date: 2022-12-28
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Publication No.: US11893724B2Publication Date: 2024-02-06
- Inventor: Enes Karaaslan , Fikret Necati Catbas , Ulas Bagci
- Applicant: University of Central Florida Research Foundation, Inc.
- Applicant Address: US FL Orlando
- Assignee: University of Central Florida Research Foundation, Inc.
- Current Assignee: University of Central Florida Research Foundation, Inc.
- Current Assignee Address: US FL Orlando
- Agency: Smith & Hopen, P.A.
- Agent Owen G. Behrens
- The original application number of the division: US17247389 2020.12.09
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06F3/01 ; G06T7/11 ; G02B27/01 ; G06V10/94 ; G06V10/774

Abstract:
A smart, human-centered technique that uses artificial intelligence and mixed reality to accelerate essential tasks of the inspectors such as defect measurement, condition assessment and data processing. For example, a bridge inspector can analyze some remote cracks located on a concrete pier, estimate their dimensional properties and perform condition assessment in real-time. The inspector can intervene in any step of the analysis/assessment and correct the operations of the artificial intelligence. Thereby, the inspector and the artificial intelligence will collaborate/communicate for improved visual inspection. This collective intelligence framework can be integrated in a mixed reality supported see-through headset or a hand-held device with the availability of sufficient hardware and sensors. Consequently, the methods reduce the inspection time and associated labor costs while ensuring reliable and objective infrastructure evaluation. Such methods offer contributions to infrastructure inspection, maintenance, management practice, and safety for the inspection personnel.
Public/Granted literature
- US20230131469A1 METHODS OF ARTIFICIAL INTELLIGENCE-ASSISTED INFRASTRUCTURE ASSESSMENT USING MIXED REALITY SYSTEMS Public/Granted day:2023-04-27
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