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Seeing Machines

Truck drivers and logistic companies are safer on our roads thanks to Canberra-based Seeing Machines. By using computer vision to detect fatigue and provide alerts to reduce accidents, they have kept drivers safe for over 6.5 billion kilometres and created over 100 direct jobs since 2015.

Impact: reduced fatigue events by more than 90%

Two employees of Seeing Machines viewing their driver monitoring system technology.

Driving monitoring system technology developed in Australia. Image courtesy of Seeing Machines



Sydney-based VAPAR is revolutionising how water and sewage pipes are maintained. Its technology solution analyses video footage from pipe inspections to detect cracks and blockages, an error-prone task that takes hours when done manually.

Impact: identified 15% more defects

Screenshot of pipe inspection video footage being analysed by VAPAR. Screenshot of pipe inspection video footage being analysed by VAPAR showing the pipe's grade health.

VAPAR’s AI models process pipe inspection video footage to detect various issues in pipes. The issues found are then used to grade the pipe's health on a 1-5 scale. Image courtesy of VAPAR



Brisbane-based Voltin is bringing a 21st century solution to building façade inspections. Using machine learning and high-resolution cameras, its solution is automating inspections whilst keeping workers safer, reducing costs and speeding up accurate assessments.

Impact: reduced costs by 30%

Images of various building façades with highlighted sections showing possible defects identified by Voltin’s AI algorithm.

AI algorithm assigned defect identification. Image courtesy of Voltin

Food and beverage

Green Atlas

Green Atlas is dedicated to assisting tree-crop growers in managing the life-cycle of each and every fruit on every tree in their orchards. Its product, Cartographer, uses an innovative combination of hardware and AI software that allows buds, flowers, fruitlet and fruit counts to be quickly and accurately mapped over entire orchards. Growers and agronomists can access an unprecedented level of detail, unmatched by manual methods, allowing crop management to be tailored to every tree.

Impact: 6000x faster

Cartographers parked near a shed.

A team of 5 Cartographers map 15,000 hectares of almonds in three weeks. Image courtesy of Green Atlas.

Emergency services

Spark by CSIRO’s Data61

Spark is a toolkit for the end-to-end processing, simulation and analysis of bushfires. The need for a flexible and customisable bushfire prediction tool motivated its development.

Spark uses a hybrid modelling approach to predict how and where bushfires might spread. AI plays a key role in this modelling process, deriving fuel and vegetation information from remotely sensed data sources. It then integrates this with weather data from the Bureau of Metrology and physics-based modelling to develop a range of simulations.

It was piloted in the 2019–20 bushfire season to help firefighters on the ground, and is now being scaled for nation-wide use (Donnellan 2021).

Impact: fighting bushfires

A multi-coloured map of a bushfire simulated by Spark.

A simulated bushfire in Spark informing users of the spread of a fire if a wind change was to occur and the growth and speed at which it would burn. Image courtesy of the CSIRO’s Data 61.

Medical products

Coviu PhysioROM

Brisbane-based digital health business, Coviu, is currently in clinical trials for an AI-powered tool that measures a patient’s range of motion over video telehealth systems. The tool supports physiotherapists to free up hospital beds.

Impact: freeing up hospital beds

Coviu staff in front of desktop computer recording patient for range-of-motion analysis using a Webcam and a 3D motion capture system.

Recording of a patient for range-ofmotion analysis using a Webcam and a 3D motion capture system to validate algorithm accuracy. Image courtesy of Coviu.

Human resources


SafetyCulture is the operational heartbeat of working teams around the world. Its mobile-first operations platform leverages the power of human observation to identify issues and opportunities for businesses to improve every day. More than 28,000 organisations use its flagship products, iAuditor and EdApp, to perform checks, train staff, report issues, automate tasks and communicate fluidly. SafetyCulture powers over 600 million checks per year, approximately 50,000 lessons per day and millions of corrective actions. It gives leaders visibility and workers a voice in driving safety, quality and efficiency improvements.

Impact: more than 600 checks per year

Woman with tablet using SafetyCulture app, iAuditor.

SafetyCulture iAuditor product in use. Image courtesy of SafetyCulture

Clean energy


Brisbane-based engineering business, Synengco, built a ‘digital twin’ of an infrastructure, which serves as a real-time digital counterpart of the physical infrastructure. This digital twin allows the business to model and evaluate the impact of major business decisions. It has deployed this solution to one of Australia’s largest power generator to reduce costs and extend asset life.

Impact: $8 million fuel savings per year

digital representations of a city's skyscrapers with line and bar graphs in the background in a blue colour theme. digital representations of a city's skyscrapers with line and bar graphs in the background in a green colour theme.

A digital twin is an exact virtual representation, or a virtual clone, of a physical asset (such as a building or power station). It is designed with advanced modelling and analytics capabilities, self-learning from the actual operation. The digital twin monitors the physical asset across its lifecycle. It provides real-time data to predict and prevent issues or costly downtimes and help optimise the lifespan of the asset. Image courtesy of Synengco


Advanced Circular Polymers

Advanced Circular Polymers (ACP) runs Australia’s largest plastic recycling facility with a massive capacity of 70,000 tonnes per year. The recycling facility sorts the waste plastics using advanced AI-enabled robots. ACP is also developing advanced AI-enabled autonomous technologies needed for waste sorting, with financial support from the Cooperative Research Centres Projects initiative, ACP and the University of Melbourne.

Impact: AI enabled autonomous sorting for plastic recycling

Robotic unit that sorts plastic waste in ACP’s recycling facility.

A robotic unit that helps identify individual polymers and colour. Image courtesy of ACP.


Healthy Country AI Partnership

The Healthy Country AI partnership in Kakadu National Park is a pioneering program that is mixing responsible AI and science with Indigenous knowledge to solve complex environmental management problems and care for animal species and habitats. The partnership is part of the Australian Government’s National Environmental Science Program through its Northern Australia Environmental Resources Hub. It brings together Indigenous Traditional Owners and rangers, CSIRO, Microsoft, Parks Australia, the University of Western Australia and Charles Darwin University.

Under the direction of Indigenous Traditional Owners and rangers, drones capture video footage in dual World Heritage-listed Kakadu National Park. The data is collected, labelled and interpreted using a combination of Indigenous knowledge, Microsoft AI, data visualisation and scientific research. The models allow rangers to regularly survey large areas that are difficult to access and removes the need for people to review thousands of hours of video to count animals and identify para grass in its different states (burnt, wet, growing, dead). Rangers can now rapidly assess the impact of reducing para grass weed spread on the abundance of culturally-important magpie geese on Kakadu’s Nardab floodplain. In 2018, only 50 magpie geese were counted. Nine months later, more than 1,800 have returned to the wetlands.

The Healthy Country AI partnership represents an end-to-end solution to support adaptive co-management to solve complex environmental problems, create jobs and care for significant species and habitats.

Impact: using AI to monitor precious habitats

Magpie geese feeding on aquatic plants in a wetland area

Magpie geese are ‘specialised feeders’ – they eat wild rice, spike rush and two other aquatic plants. But when para grass takes over a wetland, it out-competes these plants, leaving less food and less space for the male bird to build the nest. Image credit Rita Willaert via Flickr.


Project Sagasu

Fujitsu Australia, GE Healthcare, Macquarie University and Radian Network are collaborating to develop an AI solution to detect and monitor brain aneurysms on scans faster and more efficiently. The collaboration brings together their individual strengths and expertise. The project is refining the technology to create a fully commercialised solution. It aims to better equip radiologists to make early, potentially life-saving diagnoses and improve the quality of life for patients with aneurysms around the world.

Impact: working to detect brain aneurysms with AI

CT scan of the brain showing the circle of Willis

CT scan of the brain showing the circle of Willis. Image courtesy of Fujistsu Australia Limited.

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