Linkage Projects - Grant ID: LP220100390

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP220100390

Funding Status
Active

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Funded Activity Summary

A Machine Learning Framework for Concrete Workability Estimation . Concrete is the most used construction material in Australia. The project aims to develop a system to measure the workability of concrete in transit in agitator trucks using advanced machine vision and machine learning, and provide a reliable alternative to the current practice of visually testing concrete workability by certified testers. Concrete that fails to meet workability requirements is one of the most frequent reasons for rejection at construction sites, resulting in significant costs, waste, and delays. Multimodal data sources will be used to provide a reliable workability estimate in real time, enabling construction teams to identify and rectify workability issues in transit while continuously monitoring the adjustments effects.

Funded Activity Details

Start Date: 16-03-2024

End Date: 15-03-2027

Funding Scheme: Linkage Projects

Funding Amount: $455,969.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Computer vision | Computer vision and multimedia computation | Pattern recognition |

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Cement Products and Concrete Materials | Computer vision | Computer vision and multimedia computation | Expanding Knowledge In the Information and Computing Sciences | Pattern recognition | Workplace Safety

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