Automated Drainage Inspection Using AI

Come along and join us on 26 March for Lean Construction ANZ’s 2nd Community of Practice (CoP) in 2026.

Topic: Automated Drainage Inspection Using AI

Big Build Roads (VIDA Roads) oversees the construction of extensive drainage networks beneath road upgrade projects. Prior to asset handover, these drainage network must be inspected visually for potential defects in accordance with VicRoads standards.

Currently, inspection is conducted through CCTV recordings of drainage lines, which are then manually reviewed by multiple stakeholders. This process is time-consuming, inconsistent, and susceptible to human error. As a result, defect identification can be delayed, leading to inefficiencies that impact project timelines, compliance processes, and final asset handover.

To address these challenges, there is a growing need for a more efficient and automated approach to reviewing drainage inspection footage and generating defect inspection reports. Such an approach has the potential to significantly reduce processing time and associated costs while improving accuracy, consistency, and overall quality of asset completion.

This session will present an initiative led by VIDA’s HIVE Research and Development team to introduce an AI-driven solution designed to streamline the reviewing and reporting of underground drainage defects. The presentation will also highlight the results of a pilot program currently being conducted in collaboration with eight Big Build Roads project teams, seven delivery contractors, and key stakeholders from the Department of Transport and Planning. The initiative demonstrates how emerging technologies and AI solutions can enhance operational efficiency and support the automation of traditional reviewing and inspection processes.

About the Speaker

Amir Soroush is the Visual Intelligence Technology Lead at the Victorian Infrastructure Delivery Authority, with over 20 years of experience spanning R&D, strategy, consulting, and advisory roles across both public and private sectors. He specialises in the design, development, and deployment of technology-driven solutions that enhance safety and drive cost efficiency across the construction, energy, mining, and water industries globally.

Amir holds a PhD in Electrical and Computer Engineering, as well as Bachelor’s and Master’s degrees in Civil and Structural Engineering. With deep expertise in Industry 4.0, digital transformation and AI, he is dedicated to leveraging innovation to improve project delivery, operational performance, and risk management in complex infrastructure environments.

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