– AUSTRALIA, Canberra – Seeing Machines Limited (LON: SEE), the advanced computer vision technology company that designs AI-powered operator monitoring systems to improve transport safety today announced that it has appointed John Murray and Gerhard Vorster as independent non-executive directors, effective 1 December 2019.
“We are delighted to welcome John and Gerhard to the Board of Seeing Machines, and their appointment rounds off our recent board renewal process. With the combined skill set and commercial experience of the refreshed board and management team, the Company is well-positioned to leverage the considerable opportunities emerging in safety in all transport sectors,” said Kate Hill, Chair of Seeing Machines.
About John Murray
John Murray is a highly experienced board director with significant expertise in the technology sector. He is currently Chairman of PainChek Limited, listed on the Australian Stock Exchange.
John has been non-executive director and Chair of several ASX-listed and high-growth companies throughout his career, which began in audit and investment banking, involved rising through various positions at large organisations, and eventually becoming Vice President and Head of Investment Banking at Bank of America Asia in 1989.
From there, John joined the Australian Technology Group where he identified and managed investments into early-stage technology companies and went on to co-found the venture capital firm, Technology Venture Partners, in 1997, establishing a 20-year career of investing in, advising and directing technology companies.
John holds an Honours Degree in Law from Edinburgh University and is a member of the Australian Institute of Company Directors. He is also a CA and a Member of the Institute of Chartered Accountants of Scotland.
John will Chair the Risk, Finance and Audit Committee.
About Gerhard Vorster
Gerhard Vorster is an accomplished senior executive and former Deloitte partner with a growing board portfolio and significant expertise in strategy and technology. Gerhard is currently an alternate director of the Brisbane Airport Corporation and Chairman of the Bio Capital Impact Fund.
Gerhard began his career at Deloitte in 1987 in the consulting business as a strategic management consultant and partner. Over a 28-year career with the firm, Gerhard was appointed to various executive roles, including Managing Partner for Consulting for the Australia and Asia Pacific region and his most recent role, Chief Strategy Officer for the region.
Gerhard holds a Bachelor of Science in Civil Engineering from the University of Pretoria and a Master of Business Administration (Cum Laude) from the University of Potchefstroom. He is a member of the Australian Institute of Company Directors.
About Seeing Machines
Seeing Machines, a global company headquartered in Australia is an industry leader in computer vision technologies which enable machines to see, understand and assist people. The Company’s machine learning vision platform has the know-how to deliver real-time identification and understanding of drivers through Artificial Intelligence analysis of heads, faces and eyes. This insight enables Driver Monitoring Systems, which monitor driver/operator identification and attention and can detect drowsiness and distraction across multiple transport sectors.
Seeing Machines develops DMS for the Automotive, Commercial Fleet, Aviation, Rail and Off-Road markets. The Company has offices in Australia, USA, Europe and Asia, and delivers multi-platform solutions to industry leaders in each vertical.
DMS is becoming a core safety technology integrated into ADAS offerings for the automotive industry, particularly with the development of semi-autonomous and self-driving cars. DMS is also increasingly seen to be an integral safety feature across the Commercial Transport & Logistics industry and is set to be become a regulatory requirement for all cars, vans, trucks and buses in Europe from 2022, with the rest of the world expected to follow soon after.
For more information: https://www.seeingmachines.com
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