Observing Human Behaviour to Detect Fatigue and Distraction - Seeing Machines' CEO Paul McGlone20 Dec 2022 11:37
Born in the robotics lab of Canberra’s Australian National University (ANU) almost 22 years ago, Seeing Machines was the brainchild of founders Sebastien Rougeaux and Tim Edwards, who are still with the company today. But four years back, Paul McGlone took over as the CEO of Seeing Machines, and since then, there have been some major developments for this robotics-led Driver Management System (DMS) company.
“Our founders were contemplating a future, where there was a strong interaction between humans and machines. They realised that cars would be the first machines or robots that would interact with humans in a major way, so they shifted their focus on to the Human Vehicle Interface and that's how the whole thing started. There are all kinds of technologies in vehicles today," says McGlone.
"Our team focused on the interior of the vehicle, focusing specifically on the human to try and understand the points where the human was disengaged with the job at hand - driving."
Its technology is very accurate in observing human behaviour to detect fatigue and distraction, the two primary conditions that are the causes of road fatality.
"After all the effort and years of trying to hone this area, we now specialise in the commercial vehicles - freight vehicles, trucks, trains, trams, mining vehicles and even aviation. Our sole focus is getting people home safely and to reducing road deaths,” adds McGlone.
It seems the market is unaware of the current prevalence of driver monitoring technology or the interior sensing space and all that it can do. But this is going to change soon.
From 2025, Euro NCAP and the European Commission require vehicles to have a camera-based driver monitoring system. Seeing Machines was the first company to demonstrate this technology to Euro NCAP and the European Commission. As a consequence, this regulation will now see the light of day.
“So far, we're the only software company that developed the ability to package driver and occupant monitoring in a single camera in a single location, call it the rear view mirror that can do both jobs, high fidelity observance of the driver and the lower fidelity observance of everything else that's going on, and finally, processing these signals in real-time to trigger a whole series of alerts."
https://www.autofutures.tv/news-features/observing-human-behaviour-to-detect-fatigue-and-distraction---seeing-machines--ceo-paul-mcglone/s/553a1284-1dec-41c4-9316-bbcd67d83928
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