dc1669e4-c3a2-42da-b4f8-e25804662c27.pdf Seeing Machines Limited

("Seeing Machines" or "the Company")

Australian Government Grants Seeing Machines AU$2.25M for collaborative research project of driver monitoring in the heavy vehicle industry

27 June 2016

Seeing Machines Limited, (AIM: SEE), the vehicle operator monitoring technology company, is pleased to announce that it has been awarded an Australian Government Cooperative Research Centre Project ("CRC-P") Grant for AU$2.25M over three years. The grant is toward a collaborative project with Monash University and Ron Finemore Transport Services ("Ron Finemore"), one of Seeing Machines' Guardian Solution™ customers. Seeing Machines were one of ten other companies selected from over 100 applications.

The project builds upon Seeing Machines' Guardian technology platform that actively monitors for and alerts drivers to fatigue and distraction. Titled, "The Future integrated driver monitoring solution for heavy vehicles", the project aims to deliver the next-generation of fatigue prevention and driver monitoring technology.

The CRC-P will use new data analysis methods to understand the behavioural risks in ways that were not previously possible. This brings together 'big data' analytics, simulation and computer vision expertise across Seeing Machines and Monash University to develop a next-generation driver monitoring device that integrates road data and driver data in real-time. Ron Finemore will receive data that supports its proactive safety management and driver wellbeing, which in turn will result in fewer crashes, fewer safety critical events, and improved productivity.

Professor Mike Lenné, Seeing Machines' Chief Scientific Officer, Human Factors commented: "Combining the technology leadership of Seeing Machines, with the research excellence of Monash University, and the industry knowledge from Ron Finemore Transport, this is a unique opportunity to build the next market-leading driver monitoring technology. This is a valuable opportunity to drive product design to enhance safety and the driver experience. Furthermore, it is incredibly rewarding to see the Australian Government recognise the innovation of this proposal and the impact it will have on the heavy vehicle industry and the safety of all road users."

Enquiries:

Seeing Machines Limited www.seeingmachines.com / +61 2 6103 4700

Ken Kroeger, Managing Director and CEO Ken.Kroeger@seeingmachines.com

Media inquiries: Adrian Dean Adrian.dean@seeingmachines.com

finnCap Ltd, Broker for Seeing Machines

Ed Frisby / Emily Watts, Corporate Finance +44 20 7220 0500 Joanna Scott, Corporate Broking

Newgate, Investment Communications for Seeing Machines

Robyn McConnachie

Bob Huxford Adam Lloyd

Tel: +44 20 7653 9852 / Mob: +44 7885 466 559

Robyn.mcconnachie@newgatecomms.com

Tel: +44 20 7653 9848 / Mob: +44 7469 154 806

Bob.huxford@newgatecomms.com

Tel: +44 20 7653 9842 / Mob: +44 7966 609 084

Adam.lloyd@newgatecomms.com

About Seeing Machines

Seeing Machines, (AIM: SEE) is focused on operator monitoring and intervention sensing technologies and services. With more than 15 years of experience, Seeing Machines uses advanced detection and prevention safety assistance technologies to track eye and facial movement in order to monitor fatigue, drowsiness and distraction events, such as microsleeps, texting and cell phone use as they occur, while providing for a real-time intervention strategy, which improves operator, driver and environmental safety, preserves assets, and reduces risk. Seeing Machines' technology is used worldwide across the automotive, mining, transport and aviation industries; as well as many of the leading academic research groups and transportation authorities. Seeing Machines is headquartered in Australia and has offices in Tucson, Arizona and Mountain View, California. The Company counts Caterpillar, BHP Billiton, Freeport, Electro Motive Diesel, Boeing, Takata, SEMCo and Eye Tracking Inc among its customers or partners.

Seeing Machines Limited published this content on 27 June 2016 and is solely responsible for the information contained herein.
Distributed by Public, unedited and unaltered, on 27 June 2016 07:28:03 UTC.

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