Machine Learning Cameras

Transport for NSW is installing a number of machine learning traffic counting and classifying cameras across the state.

Project information

The world-first technology is being trialed in NSW to analyse freight vehicles to help reduce congestion and ensure goods are delivered sooner and more efficiently. 

The solar-powered, artificial intelligence-enabled technology was designed and built in Australia, with the first iteration of the world-leading software developed by staff at Transport for NSW.

Images of heavy vehicles are taken by the cameras which then classify the type of vehicle in transit and the type of cargo being transported. This information will enable Transport to better understand freight movements with the aim of assisting in long-term planning for the movement of goods in NSW.  

The information is helping Transport for NSW shape the future of freight. As the demand for goods grows with our increasing population, Transport is making it easier for businesses to move freight in and out of our ports and airports, around our regions, and across our state.

The cameras are not used for enforcement or monitoring people or private vehicles.

Current locations of Machine Learning Cameras

Current locations of Machine Learning Cameras

  • Sheahan Bridge, Gundegai
  • Hexham Bridge, Stockton Bridge and Tighes Hill Bridge, Newcastle
  • Foreshore Road, Port Botany, Sydney
  • Moorebank Avenue, Moorebank, Sydney
  • Cockfighters Bridge, Wollombi Brook
  • Thomas Mitchell Dr, Musswellbrook
  • Curlewis Railway Crossing, Curlewis
  • Newell Hwy x Lizard Dr/Old Brewery Rd, Narrandera
  • Sturt Hwy x Gilenbah Creek, Narrandera
  • Newell Hwy x Gillenbah Creek Rd, Gillenbah Sturt Hwy x Forest Dr, Gillenbah
  • Newell Hwy x Silo Rd, Tocumwal
  • Newell Hwy x Old Adcocks Rd and Murray St, Tocumwal
  • Newell Hwy x Tuppal Rd/Deniliquin Rd Tocumwal

Download the fact sheet

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