Big Picture – A Deep Dive Examination of Seeing Machines Limited
Seeing Machines Limited Snapshot
What we do
Seeing Machines specialises in computer vision algorithms, optics and processing technologies that enable new forms of intelligent machines. In particular, we are concerned with machines in ‘mission critical’ applications, where accidents are unacceptable and where safety can be enhanced through monitoring of the human operator, driver or pilot who is ultimately responsible.
Today, Seeing Machines’ FOVIO Driver Monitoring (FDM) processor employs computer vision algorithms that have been developed over more than 20 years of applied research.
The algorithms can robustly, accurately and in real-time, measure a driver’s visual attention to their environment, assess their degree of drowsiness, and ultimately detect if the driver has passed a threshold of risk. Mitigating the risk is then enacted through intelligent alerting of the driver as well as informing a vehicle’s wider control systems.
What sets us apart
DMS (Driver Monitoring System) solutions built on Seeing Machines’ FDM technology are automatic, unobtrusive, accurate, reliable and intelligently aware. There is no need for the driver to wear anything or modify their behaviour. The technology does not require cooperation, calibration or any prior knowledge of the driver.
Fundamentally, Seeing Machines technology does not just track faces and eyes, it solves real-world problems and saves lives.
Distraction has many causes, the most common being phone use, but can also be due to vehicle controls, passengers, other vehicles, eating, or even day-dreaming. The potential causes are endless.
Whatever the cause, if the driver, pilot or vehicle operator is not observing the operating environment, such as the road, frequently enough, then the risk of an accident will greatly increase.
The face and eye tracking algorithms in Seeing Machines FDM processor feed a Driver Distraction Event (DDE) algorithm which must be robust to face masks, sunglasses, facial expression, behaviour, hats, wigs, jewellery and all the myriad of human behaviours which might indicate distraction.
Drowsiness is characterised as a mental impairment due to lack of sleep. It cannot be overcome by just “waking up”, the only solution is rest. Drowsy driving has been a long-standing safety issue in nearly all transport markets. Unlike alcohol, which can be breath-tested, there has been no reliable way to measure the degree of drowsiness of a driver with any degree of certainty.
However, after over a decade of research and leveraging best-in-class underlying head and eye tracking algorithms, combined with the latest machine learning techniques applied to carefully gathered datasets, Seeing Machines is now able to provide a Driver Drowsiness Level (DDL) signal that offers an actionable assessment of risk of the driver losing control of the vehicle in the near future.
Microsleep and Incapacitation Detection
Everyone gets tired a little differently. Seeing Machines technology watches out for signs of the driver passing in and out of consciousness; so called “microsleep” events.
Some driver’s never exhibit signs of drowsiness or even microsleeps and can just suddenly pass out. This can also occur due to medical reasons, such as low blood sugar. Seeing Machines technology is able to detect a driver that is unconscious.
Vigilance and Engagement
Conditionally autonomous vehicles and advanced safety functions such as collision avoidance systems require a reliable measurement of a driver’s level of “engagement” to the driving task (or the road scene). We call this Driver Engagement Level (DEL). This signal is designed to allow vehicle systems to intelligently and safely hand over control, or take control back, from the driver.
Unrivalled DMS solution performance
The FDM processor sits at the heart of modern camera-based DMS. It offers unparalleled measurement quality of all the levels of driver impairment and engagement, with algorithms that have been calibrated against diverse population studies, examining the ability of driver’s to safely control vehicles in complex road environments when in known mental states.
The FDM inter-operates with Seeing Machines specialised and highly tuned optical reference designs. These are infrared camera solutions that employ dynamic sensor and illumination control by the FDM monitoring algorithms. This tight coupling between algorithm and optics enables the DMS system to track a person’s eyelids and pupils through sunglasses under every imaginable real-world driving condition.
Chief Executive Officer - Acting
Paul has a proven commercial track record and has, in his short time at Seeing Machines, set Fleet on the path to strengthen the outlook of the business considerably.
Paul comes into the role of acting CEO with extensive experience in management, public company leadership as well as logistics, supply chain management and technology driven businesses.
During his 10-year career at Australian listed company, Brambles, Mr McGlone held operational and corporate leadership roles including President of CHEP Asia Pacific and Group Vice President Strategy, Planning and Innovation. He was the architect of its global growth plan which resulted in a threefold increase in the company’s market capitalisation.
Chief Operating Officer
Ryan’s focus is continuous improvement in efficiency and consistency of all operating processes which ensure delivery of a world leading user experience for all Seeing Machines clients, partners, employees and other stakeholders.
Ryan joins Seeing Machines following a successful career in STEM focused organisations that deliver mission critical, safety and security-oriented outcomes. Ryan brings a wealth of experience and guidance that is critical as Seeing Machines navigates its next phase to efficiently capitalise on the market opportunities for driver and operator monitoring technology, globally.
Ryan is responsible for the company’s operations globally. He oversees Quality, Data Privacy & Security, Legal & Commercial, Procurement, Supply Chain, Infrastructure & Facilities, Information Technology & Communications and Customer Service & Logistics.
Prior to joining Seeing Machines, Ryan led a global oil and gas geoscience company as CEO, focusing on the commercialisation of complex risk based scientific products. Before working in oil and gas, he enjoyed a long career with the global defence supplier Thales Australia Ltd where he held various roles including Portfolio Lead for Cyber Security, Merger and Acquisition Lead for Asia Pacific and Program Director for several key Australian Defence infrastructure projects.
Ryan holds a Master of Business Administration, an Advanced Diploma of Project Management, is a Member of the Australian Institute of Company Directors, the Australian Institute of Project Management and is appointed as a Justice of the Peace in the state of New South Wales.
CFO & Finance Director
Luke is a senior financial executive with over 25 years of accounting and finance experience.
Luke has previously held CFO roles at several ASX listed companies including Genworth Mortgage Insurance Australia Limited and infrastructure business Intoll Group. He also held senior positions with responsibility for investor relations and risk management at Macquarie Infrastructure Group, one of the largest developers and owners of toll roads globally, and Deutsche Bank, as well as key commercial positions at National Australia Bank and insurance and financial services group Promina.
Luke has substantial experience of integrating business planning, business performance and capital modelling and of accessing various sources of capital from the debt and equity markets. He also has substantial experience in developing and implementing business strategies across organisations and over multiple jurisdictions.
Senior Vice President and Automotive General Manager
Nick is responsible for all aspects of the Seeing Machines automotive business, including strategy, growth and profitability.
Nick has more than 30 years’ experience in the automotive electronics sector, including product strategy/engineering, marketing and business development in automotive original equipment manufacturer (OEM) and Tier 1 and 2 semi-conductor companies.
Before joining Seeing Machines in late 2016, Nick was Senior Director of Automotive at Xilinx, a programmable chip company. He helped build Xilinx from start-up to attracting annual revenues of over US$150 million by leveraging market growth in automotive infotainment and advanced driver assistance applications. Prior to joining Xilinx in 2005, Nick spent 20 years at Ford Motor Company – and automotive parts spin-off Visteon – in various global engineering/management roles, where innovations in the then-developing infotainment and telematics sectors earned him nine US patents, a Henry Ford Technology Award, and a Smithsonian Innovation Award.
Nick holds a BSc in Electrical Engineering (Lawrence Technological University).
Nick and James Palmer discuss Seeing Machines’ half year results March 2018
Chief Technology Officer
In 2000, Tim co-founded Seeing Machines with three colleagues, to deliver on the fundamental insight that cars would be the world’s first true autonomous robots. Tim leads Seeing Machines’ core technology roadmap, overseeing the company’s teams of engineers and applied mathematicians to deliver world-class human sensing technology to car makers world-wide. This technology is further deployed across all Seeing Machines’ transport sector solutions to enhance safety.
Tim has unparalleled industry knowledge of driver monitoring in an automotive environment, and is passionate about using artificial intelligence (AI) to improve the safety and use of human transport in general.
In his previous role, Tim worked at the Australian National University (ANU) Robotics Systems Laboratory on a wide variety of robotics research concepts, including face- and gaze-tracking technology. In 2001, Tim and other members of the team were recipients of the Australian Museum Eureka Science Prize for Innovation in Information and Communications Technology (ICT) for their ground-breaking work on faceLAB, the world’s first automatic, non-contact face- and eye-tracking system. Before this, Tim worked for CEA Technologies on phased-array RADAR technology, studying its interaction with ocean waves and boat wakes.
Tim holds a BEng (Honours) in Systems Engineering (ANU) and is a co-founder of Seeing Machines.
Chief Scientific Officer
Seb is an internationally-renowned robotics and computer vision researcher. He drives the technological advancement of Seeing Machines’ core and new technologies
Seb has spent more than two decades developing computer vision algorithms and driving face- and gaze-tracking innovation in Japan, Australia and the United States. His seminal research has been widely accepted as a landmark work in active computer vision.
Seb is a co-founder of Seeing Machines.
Danny heads the Seeing Machines engineering organisation delivering projects for the Automotive, Fleet and Aviation Business Units.
Responsible for engineering globally, Danny leads the teams accountable for advanced engineering, platform solutions and product development. He assumes overall responsibility for engineering delivery and management of the engineering operations, working closely with the CTO and Chief Engineer to provide strategic direction and leadership to deliver technical solutions.
Joining Seeing Machines in 2017, Danny brings over 20 years automotive industry experience from various engineering management roles. He has a background in managing engineering departments supplying Tier 1 products to original equipment manufacturers (OEMs). In his previous roles he has led engineering teams to develop technical products from concept to production for customers in Asia, Europe and the Americas. He has a demonstrated history scaling product development processes, project management and product delivery.
Danny holds a Bachelor of Engineering (BEng) H1 from LaTrobe University.
As the Chief Engineer Rod leads the development of the core platform technology for the company’s silicon product line which includes the deep embedding of the company’s core algorithms.
Rod has more than 20 years’ experience in the automotive electronics sector, including product strategy/engineering, and marketing and business development in automotive Tier 1 and Tier 2 semiconductor companies.
He joined Seeing Machines in 2014 as the first automotive industry recruit to assist in the early stages of the company’s pioneering automotive programs. He has played a key role in the establishment of the automotive engineering team which has grown from a handful of engineers on a single program to more than 100 engineers today across multiple teams and disciplines.
Prior to Seeing Machines, Rod spent almost 10 years at Xilinx joining them as the Automotive group there was established. He was later joined by Nick DiFiore (SVP and GM of Automotive) with whom he has worked closely for periods of time across the past 10 years. Before Xilinx Rod worked for a number of automotive Tier 1 companies developing hardware products in the infotainment, telematics and body computer space.
Rod holds a BEng in Computer Engineering (Wollongong University).
Chief Scientific Officer, Human Factors
Mike builds research partnerships with Seeing Machines’ automotive, aerospace and fleet customers.
He also represents the company’s scientific interests externally and, as Adjunct Professor at the Monash University Accident Research Centre (MUARC) in Melbourne, maintains a high profile and considerable scientific credibility within the international human factors community.
Mike has 20 years’ experience leading applied research programs to deliver improvements in safety. Before joining Seeing Machines in 2014, Mike was a Professor at MUARC, where for eight years he led the human factors research team.
Mike holds a PhD in Human Factors Psychology (Monash University).
Senior Vice President, People, Culture and Quality
Nicole leads the people agenda at Seeing Machines.
She is responsible for aligning the human capital strategy – to attract, retain and develop world-class talent – with the company’s overall business strategies, in order to ensure that Seeing Machines remains at the cutting edge in its target markets.
Nicole has more than 25 years’ human resources (HR) experience in the software, professional services and knowledge-sharing sectors.
Before joining Seeing Machines in 2014, Nicole was HR Manager of Strategy, People and Culture for the Global Carbon Capture and Storage Institute. Prior to that, she held senior leadership roles in HR for KPMG and Accenture.
General Manager, Aviation
Patrick leads the Seeing Machines aviation business, and focuses on consultation with manufacturers, Tier 1 companies, operators, carriers and air navigation service providers (ANSPs).
Before joining Seeing Machines in 2014, Patrick worked for 16 years across several industries, building businesses and providing consulting services specialising in learning and development, and learning process outsourcing. His key engagements were in the financial, mining, defence and emergency management sectors.
Patrick’s career began in the Royal Australian Air Force. Initially, he worked as an avionics technician, later moving into engineering management and consulting roles for the Australian Defence Force. His 14-year military career provided a strong platform for Patrick’s later transition to commerce and business consulting.
Patrick holds an Executive MBA Southern Cross University
|VS International Venture||12.10|
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