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Car dash board with sat-nav and a small camera pointing to where the driver would sit

Guardian system in Ron Finemore truck, real-time prevention in action.

Seeing Machines will deliver the next generation of fatigue prevention and driver monitoring technology for the commercial transport sector in Australia and around the world.

Seeing Machines, in partnership with Monash University’s Accident Research Centre and Ron Finemore Transport, was awarded an Australian Government CRC Project Grant for $2.25 million over three years to work on a project which builds on Seeing Machines’ Guardian technology platform that actively monitors for and alerts drivers to fatigue and distraction.

The CRC-P work will help to refine Seeing Machine’s current sensing methods for distraction and drowsiness to develop new state sensing algorithms for cognitive distraction and workload.

Seeing Machines is an industry leader in computer vision technologies which enable machines to see, understand and assist people.

The company deploys its machine learning vision platform to deliver real-time understanding of drivers through Artificial Intelligence analysis of heads, faces and eyes, for Driver Monitoring Systems (DMS) in most transport sectors.

DMS detects and manages drowsiness, distraction and cognitive state of drivers. This is a key enabling technology for advanced driver assistance systems and autonomous driving as well as for Guardian, Seeing Machines’ pioneering aftermarket commercial fleet solution.

The Guardian system provides real-time, in-cabin alerts when fatigue or distraction is detected by driver facing sensors. The system works in all light conditions including night driving and the use of sunglasses.

“We have the opportunity to drive clever product design in revolutionary ways to enhance safety and the driver experience. Furthermore, it’s very rewarding to see the Australian Government recognise the innovation of this project, as the outcomes will positively impact the heavy vehicle industry in Australia and around the world and consequently, the safety of all road users.”

Professor Mike Lenné, Chief Scientific Officer, Human factors, Seeing Machines

A forward-facing camera monitors the road ahead and captures event video for analysis and assistance with accident or liability claims.

Guardian is further connected to a 24/7 monitoring centre and cloud analytics engine that gives fleet owners a variety of customisable intervention and analytics programs to complement their driver training and wellness initiatives.

Data gathering, both using simulation and on-road measurements, will help to refine the system’s current sensing abilities, along with applying the latest thinking around the design of the human machine interface. 

The CRC-P grant has enabled Seeing Machines, through collaborative research, to engage in a transformational form of product development R&D. It will commit resources to the project in the form of new employees based in Canberra.

These scientists will be charged with applying human factors and analytical methods to design and analyse complex datasets, write up technical reports once data is analysed and contribute to the design of ongoing research studies related to the project.

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