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Canberra Drivers Invited to Take Part in World-leading Automated Vehicle Trial

Seeing Machines
2018-04-24 07:28 4766

CANBERRA, Australia, April 24, 2018 /PRNewswire/ -- Seeing Machines, an industry leader in computer vision technologies which enable machines to see, understand and assist people, launched phase one of its world-leading automated vehicle trial, CAN Drive, supported by the Rachel Stephe-Smith MLA and the ACT Government, which has committed A$1.35m to the project.

Ken Kroeger, Chairman & CEO of Seeing Machines, launches Phase 1 of CAN Drive in Canberra
Ken Kroeger, Chairman & CEO of Seeing Machines, launches Phase 1 of CAN Drive in Canberra

CAN Drive, the first automated vehicle trial in the world to focus on driver behaviour, using the Seeing Machines technology, is getting underway at Canberra's Sutton Driver Training Track, testing how quickly a driver can be ready to resume control of an automated vehicle.

The Seeing Machines software monitors the driver's facial movements and expressions to determine whether they are paying sufficient attention and sounds an alert if they need to look at the road and retain full control of the vehicle.

"The ACT Government is proud to have formed an industry partnership with local company Seeing Machines to conduct this trial," said Rachel Stephen-Smith MLA. "Seeing Machines is leading the world in decoding the interaction between people and machines, as increasingly-automated vehicles are developed."

"Canberra is a progressive and growing city that has earned the reputation as Australia's testbed for innovative new technology and business models that can improve the lives of our citizens: we've supported Uber into our city, we're hosting world-first drone delivery trials, and now we're pioneering research to make automated vehicles safer," she added.

Seeing Machines is calling for Canberra drivers who are interested in taking part in the trial. Following this first phase at Sutton Driver Training Track, the trial will progress to phase two, where it is expected to move to Canberra's roads to study driver behaviour in real world conditions.

Seeing Machines Chairman Ken Kroeger commented: "The data we collect in trials such as CAN Drive is critical to advancing safety of communities all around the world. Automated technologies are emerging across many transport sectors and it is Seeing Machines' goal, through our driver monitoring platform, to help advance these developments with safety as the highest priority. The continued support of the ACT Government helps Seeing Machines sustain its leadership position as we develop our core technology to meet the needs of our partners, customers and stakeholders."

People interested in taking part in this trial should contact marketing@seeingmachines.com.

About Seeing Machines

Seeing Machines (LSE: SEE) is an industry leader in computer vision technologies which enable machines to see, understand and assist people. The Company deploys its FOVIO machine learning vision platform to deliver real-time understanding of drivers through AI analysis of heads, faces and eyes for Driver Monitoring Systems (DMS), which monitor driver attention state including drowsiness and distraction. DMS is increasingly considered a core automotive safety technology as well as an enabling technology for ADAS/Autonomous Driving. The Company's pioneering commercial fleet solution (Guardian) delivers an after-market, in-cabin safety intervention system with 24/7 monitoring and cloud analytics services delivered on a telematics SaaS basis. The Company also serves Aviation, Rail and Off-Road markets, and they are seeking to innovate in new markets. Based in Canberra, Australia with the intention to grow in the USA and Europe, the Company delivers multi-platform solutions from embedded software and processors to aftermarket system and service solutions to industry leaders globally. www.seeingmachines.com.

Media enquiries

Sophie Nicoll
sophie.nicoll@seeingmachines.com  
Tel. +61 (0) 419-149-683

Photo - https://photos.prnasia.com/prnh/20180423/2111835-1

Source: Seeing Machines
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