We’re on a mission to achieve zero transport fatalities.

Every year, the lives of so many families are changed forever as around 1.19 million people die and between 20 and 50 million are injured in transport accidents. Many of these accidents are due to human error and may be preventable with camera-based driver and operator monitoring safety technology.

With the world’s most advanced human data-driven technology, Seeing Machines is enhancing safety by dramatically reducing fatal accidents every day; making progress to our end goal of zero deaths.

kilometers travelled

distraction events detected

fatigue interventions (12 months)

Technology

The best in our field

Seeing Machines’ driver and occupant monitoring system technology is underpinned by our unrivalled understanding of human behaviour. Human Factors research forms the basis on which our world-leading algorithm development, advanced embedding of software onto silicon and industry-leading optical path research enables deep consultation with customers on camera and illumination requirements for all kinds of difficult situations, from human behavioural edge cases through to difficult in-vehicle lighting environments.

This quality of teams and processes has put Seeing Machines in leadership roles consulting to transportation regulatory, governmental and consumer awareness bodies, as well as with our global customers in Automotive, Aviation and Fleet.

Human Factors

Unrivalled human behavioural research and data.

Advanced Embedding

Superior AI safety and performance capabilities.

How it Works

Backed by 20 years of data-driven research.

  • Technical Paper Series – Intoxication

    Part 2 of the Seeing Machines Technical Paper series exploring driver intoxication and impairment has been released.

    The latest instalment explores how Driver Monitoring Systems (DMS) offer a versatile, scalable approach to road safety by detecting real-time functional impairment, regardless of the underlying cause. It highlights the critical distinction between intoxication and impairment, and the advantages of a cause-agnostic impairment detection solution to reduce crash risk.

    Part 1 examines the limitations of using Blood Alcohol Concentration (BAC) as a benchmark for impairment, while Part 2 explores how camera-based DMS focus on the driver's functional state, rather than identifying a specific chemical cause.

News

Our latest news

Preparing for the 2026 HVNL reforms: how proactive safety management can create a competitive advantage

With the 2026 Heavy Vehicle National Law (HVNL) reforms commencing on 1 August, the Australian heavy vehicle industry is shifting from reactive compliance to proactive safety management. The transition to the new Heavy Vehicle Accreditation (HVA) framework demands that operators actively identify and control risks like driver fatigue before incidents occur. Embracing active intervention technologies, such as Seeing Machines’ Guardian, allows fleets to turn real-time safety data into a true competitive advantage.

UK mandates advanced vehicle safety technologies in major road safety milestone

The UK's new vehicle safety mandate is a major step towards safer roads. As advanced distraction and drowsiness warning technologies become standard, the announcement reinforces the growing role of proactive safety technologies in preventing crashes before they happen.

Technical Paper Series – Intoxication: Part 2

Part 2 of Seeing Machines' Technical Paper Series – Intoxication explores how Driver Monitoring Systems (DMS) offer a real-time approach to assessing driver impairment by focusing on functional capability rather than chemical concentration thresholds, which have limitations especially with substances like cannabis.

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