Invention Grant
- Patent Title: Methods of artificial intelligence-assisted infrastructure assessment using mixed reality systems
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Application No.: US17247389Application Date: 2020-12-09
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Publication No.: US11551344B2Publication Date: 2023-01-10
- 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; Paul Murty
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06F3/01 ; G06T7/11 ; G02B27/01

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
- US20210174492A1 METHODS OF ARTIFICIAL INTELLIGENCE-ASSISTED INFRASTRUCTURE ASSESSMENT USING MIXED REALITY SYSTEMS Public/Granted day:2021-06-10
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