Shoalhaven City Council has joined an innovative artificial intelligence project, which seeks to revolutionise road asset maintenance and operations.
The Asset AI® project uses a combination of dash-mounted cameras on council vehicles and sensors to detect, log – and eventually predict – critical road defect issues like damaged signs, faded line markings, potholes and rutting, and escalate them based on severity and safety risk, to council asset maintenance teams.
Shoalhaven City is now feeding data into the platform and receiving updates through the system.
Shoalhaven City Council Mayor, Amanda Findley said: “We are hopeful that the application of this new technology will create efficiencies in the process to remediate our roads and potentially reduce costs by cutting back on the manual inspection and assessment process.
“Right now, gathering data on our assets such as the critical road network infrastructure is vital to planning and allocating budgets in the long term.
“The installation of AI cameras on road worker crew vehicles will be a welcome addition to the
fleet and effectively act as another set of eyes inspecting our roads,” she said.
