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Detecting and Classifying Structural Cracks with Reality Modelling and AI

Synopsis

An AI model for image classification is developed and trained to detect structural cracks. The output of the AI crack classification application is visualised in a digital 3D model. This enables the user to quickly identify the location of the cracks in a building without going through tedious marking of locations on a photo taken on site.

SUPERVISORS:

Ong Chee Fatt (lead) | Soo-Ng Geok Ling

TEAM MEMBERS:

Muhammad Ashraff Bin Abdul Rahim | Song Wei Kok | Tan Yi Le Elias | Arvind Jayakumar | Too Zhan Qing Summer | Woon Rui Jie | Firzanah Binte Juhaimee | Lachlan Tan Lu Jian

DIPLOMA:

Diploma in Civil Engineering with Business

INDUSTRY PARTNER:

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