Seeing Machines’ applied human factors research is fundamental to establishing the efficacy of our current operator monitoring technology, and critical as we develop our future technology to enhance safety across all transport sectors.

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Human factors is the bridge between our core technology and its application to solving real world problems. We partner with customers and universities to generate vast data-sets that provide us with a second-to-none understanding of operator performance across our three transport verticals: fleet; automotive and aviation.

We use this knowledge to define benchmarks for the measurement of many high-level states; from drowsiness and distraction in truck driving, to workload and engagement in semi-automated driving, through to workload in air traffic control and situational awareness in pilot training. These data and knowledge are then used by our computer vision engineers to develop advanced algorithms and product features that set our technology apart from anyone else in the world.

Seeing Machines leads the world in operator monitoring technology.

Working closely with our customers, the team at Seeing Machines also engage in customer-focused research projects, working with automotive, commercial fleet and aviation customers, to name a few, to design and lead programs that showcase how our world leading technology can be applied to real-world operational settings, to measure real people as they go about their business in real time.
Some of our current programs are showcased below.



Seeing Machines, already protecting over 200 commercial transport and logistic fleets worldwide with Guardian, is committed to world class product development as we continually enhance our best in class operator monitoring technology.

In partnership with Monash University Accident Research Centre, Ron Finemore Transport Services and Volvo Trucks Australia, Seeing Machines is leading one of the Australian Federal Government’s funded Cooperative Research Centre Projects. 

The Advanced Safe Truck Concept (ASTC), a A$6.5M project aims to reduce fatal truck crashes by developing new vehicle technologies, through the intense study of driver behaviour, in a range of settings, with a focus on driver fatigue and distraction.

Phase 1 of ASTC involves the testing of drivers in Monash University Accident Research Centre’s Advanced Driving Simulator, where humans are monitored in rested and fatigued states to achieve a better understanding of how drowsiness impacts driver safety and to better enable the prediction of safety outcomes.

The first of its kind in the world, the Advanced Safe Truck Concept links in-cab driver monitoring technology with the external traffic and roadway in real time. This is being carried out by fitting the Seeing Machines sensing suite to a number of vehicles in the Ron Finemore Transport Services fleet, and is known as Phase 2 – The Naturalistic Truck Safety Study, where on-road data is collected. The Ron Finemore Transport Services drivers will operate under normal conditions while the Seeing Machines advanced sensing suite collects real world data which will feed directly back into the study, providing unique insights into driver behaviour under various conditions.

CAN Drive (Automated Vehicle Trial) – driver engagement during automated driving

As automotive manufacturers (OEMs) begin to introduce partially automated vehicles on the market, there is an evolving and widespread recognition for the need to monitor the driver in new ways. Today, Seeing Machines technology is being deployed into a number of OEM applications, but as this technology develops, we work with industry, governments and regulators to more closely understand the driver monitoring requirements, driver behaviour and apply this to the ongoing development of the company’s platform technology.

CAN Drive is one of the ways that Seeing Machines is collecting data on driver behaviour, to enhance the technology and keep people safe as automated technology matures in this market. Using Seeing Machines driver monitoring technology, this Australian Capital Territory (ACT) Government sponsored trial will help Australia and the world understand how humans are going to interact with semi-autonomated vehicles in a real-world situation.

The ACT has a track record of embracing new technologies and the Government has provided funding for several trials to prepare for the introduction of various levels of autonomated vehicles to our roads, which will feed into the approach taken on roads more broadly.
With the increase in automation, the role of the driver will change. For example, level 3 automated vehicles are already registered for use on Australian roads, but the driver is legally in control of the car. CAN Drive will help us understand when and why, from both a safety and a regulatory perspective, a driver should be in control rather than the automated vehicle, and help to manage the transition from one to the other with reduced risk.

CAN Drive is working towards three key goals:

  1. to drive improvements in vehicle technology and road safety strategy,
  2. to drive community interest and acceptance of new vehicle technologies, and
  3. to cement Canberra’s reputation as Australia’s technology test-bed.

CAN Drive is now in testing phase and we are using a Tesla S75 to conduct first phase track testing, in partnership with Sutton Track where the on-road data collection component is currently being done.