Road assessment has always been a very manual, tedious process to undertake. The process of driving the road network with a tablet or even worse a clipboard with a template on a sheet of paper is an outdated approach that must be improved. With the rapid improvement of technology, machine learning and AI can automate road assessment and enable predictive maintenance rather than reactive.
What you will learn
- How computer vision can assist road assessment.
- Moving from reactive to predictive road maintenance.
- Automating the road assessment process.
Who should attend
- Asset Managers
- Council Members
- Road Maintenance Contractors
Cost
- Free for ITS Australia members
- $20/session for non-members
Presenter
Michael Cybulski
CEO / Retina Visions
Michael founded Retina Visions in 2016 and has since established a strong presence within the transport industry. Trained in civil engineering with a history in the road construction and transport industries, Michael has worked on underground cable projects, road surface condition assessments, business development of asset management systems and big data analytics. Michael has worked with both private industry and the public sector, providing enhancements to businesses to improve efficiencies in how they manage and utilise their data. Michael was awarded the ITS Australia Young Professional of the Year award in 2018.
Partner
Your questions answered by our presenter
Get in touch with Retina Visions.