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
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.
