Event Title

An Interactive System for Training and Assisting Bridge Inspectors in Inspection Video Data Analytics

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Description

The overall goal of the project is to help users build the capability of inspection video data analytics for the robotic platform empowered bridge inspection. Specifically, the project will develop the prototype of an interactive system that guides and assists users to (i) learn fundamentals of inspection video data analytics; (ii) contribute their expertise to the development of the deep neural network (DNN) for detecting and segmenting bridge elements from inspection videos; and (iii) analyze inspection videos to assess the condition of bridges.

The project will develop the prototype of an interactive system that guides and assists users to learn fundamentals of inspection video data analytics; contribute their expertise to the development of the deep neural network (DNN) for detecting and segmenting bridge elements from inspection videos; and analyze inspection videos to assess the condition of bridges. To deliver the proposed system prototype, the project will perform the following tasks: creating web-based learning modules for training learners to master cross-disciplinary knowledge and fundamental skills of analytics; developing an inspection data analytic tool to assist inspectors in processing and analyzing inspection video data for the bridge condition assessment; creating a Graphical User Interface (GUI) to enable the interaction between users and the three major functions (i.e., learning, developing, and implementing video data analytics), developing a system central controller that integrates all developed components at a system’s level; and testing the viability and usability of the system prototype to identify the room of system improvement.

Presentation Date

11 Aug 2021, 11:30 am - 12:00 pm

Meeting Name

INSPIRE-UTC 2021 Annual Meeting

Department(s)

Civil, Architectural and Environmental Engineering

Document Type

Presentation

Document Version

Final Version

File Type

text

Language(s)

English

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Aug 11th, 11:30 AM Aug 11th, 12:00 PM

An Interactive System for Training and Assisting Bridge Inspectors in Inspection Video Data Analytics

The overall goal of the project is to help users build the capability of inspection video data analytics for the robotic platform empowered bridge inspection. Specifically, the project will develop the prototype of an interactive system that guides and assists users to (i) learn fundamentals of inspection video data analytics; (ii) contribute their expertise to the development of the deep neural network (DNN) for detecting and segmenting bridge elements from inspection videos; and (iii) analyze inspection videos to assess the condition of bridges.

The project will develop the prototype of an interactive system that guides and assists users to learn fundamentals of inspection video data analytics; contribute their expertise to the development of the deep neural network (DNN) for detecting and segmenting bridge elements from inspection videos; and analyze inspection videos to assess the condition of bridges. To deliver the proposed system prototype, the project will perform the following tasks: creating web-based learning modules for training learners to master cross-disciplinary knowledge and fundamental skills of analytics; developing an inspection data analytic tool to assist inspectors in processing and analyzing inspection video data for the bridge condition assessment; creating a Graphical User Interface (GUI) to enable the interaction between users and the three major functions (i.e., learning, developing, and implementing video data analytics), developing a system central controller that integrates all developed components at a system’s level; and testing the viability and usability of the system prototype to identify the room of system improvement.