Crack Detection in Concrete Pipes using Deep Learning Assisted Computer Vision
Date and Time: 14 April 2026 (12:30pm)
Location: Online, Teams
Water authorities spend millions of dollars unnecessarily repairing, replacing or relining reinforced precast concrete pipes that are still safe and performing to standard. Current CCTV technology used to monitor pipes doesn’t allow asset owners to distinguish between wide cracks in need of repair and narrow cracks that can self-heal.
Join us on April 14, 2026 @ 12:30pm to learn about a collaborative research project developing a better way to monitor and measure pipe cracks. Chair Gavin Chadbourn (Optima Asset) chats with project participants Yancheng Li (University of Technology Sydney) and Karen Thompson (Concrete Pipes Association Australasia) about how computer vision and deep learning can gather more precise data on crack widths to support more informed and cost-effective asset management strategies.
The free online session includes a series of brief presentations followed by a Q&A, giving you the chance to share knowledge, ask questions and join the conversation at the forefront of concrete innovation.
21 October 2026 (3:00pm)
Networking
Swinburne University
