The University of Wollongong (UOW) collaborates with a video intelligence platform linking the potential of computer vision to real business results, joining its research and development center for Artificial Intelligence of Things (AIoT) solutions .

Below mutual non-disclosure agreementthe computer vision startup and the university’s SMART infrastructure facility will share proprietary software research and development capabilities to power innovations in intelligent video analytics, including machine learning models (ML) and lessons learned from real-world computer vision implementation and local employment opportunities.

As part of the partnership, the computer vision startup has established a satellite office at UOW’s Illawarra-based Innovation Campus – a tech district that fosters collaboration between industry and research – joining the Telstra-UOW hub for AIoT solutions.

A government grant of AU$1.7 million through the Strategic University Reform Fund (SURF), designed to make Illawarra a global leader in AIOT solutions for communities, businesses and governments, is supporting the hub. Collaborating with giants in the tech industry is also another way for the hub to gain support.

The initiative brings together over 30 experts from industry and academia, focusing on delivering globally applicable AIOT results in smart transportation, smart logistics, resilient infrastructure and smart manufacturing.

The CEO and co-founder of the computer vision startup said that working with UOW’s SMART infrastructure facility and AIOT solutions center has produced practical results in three main ways. He noted that the UOW and SMART are showcasing cutting-edge AI research capabilities, which have transformative potential in today’s computer vision market.

Because SMART and the Telstra-UOW Hub for AIoT Solutions are mandated to apply academic rigor to real-world problems, they collaborate extremely well with industry and the public sector. The opportunity to work with AI PhDs and PhDs, and directly apply their research and skills to real-world computer vision challenges, is truly exciting.

While the computer vision startup provides a video intelligence platform, which allows academics to produce large-scale ML models and see their research results in the real world, UOW provides academic expertise, industry relations and data governance.

The partnership offers mutual benefits to industry as well as university researchers and students. The computer vision startup must have access to a steady stream of the best talent available to scale. For UOW, the collaboration provides a clear path to employment through the startup’s talent exchange, internship and graduate hiring programs.

UOW’s SMART Infrastructure Facility specializes in applying data analytics, advanced simulation, smart city technology, and video analytics to key infrastructure challenges, including l power, roads, rail urban growth and regional development.

The director of SMART Infrastructure Facility said that SMART Infrastructure Facility’s journey to intelligent video analytics is relatively recent, the growth in effort and demand has been almost exponential. He noted that currently the majority of the video analytics market is growing around vertical integration; and tailor-made – if not ad hoc – solutions for specific sectors, or even sub-sectors. This means that there will be a lot of redundancy in terms of deploying all these single use computer vision tools and the fees that end users will have to pay. Thus, a cross-functional approach is needed, which the computer vision startup brings with its industry-neutral platform, he said.

The head of the establishment said that UOW and the start-up share the same approach to intelligent video analytics – the interest is in a cross-functional approach and the fundamentals behind the different use cases. SMART is adept at evaluating new computer vision use cases, optimizing algorithms, and integrating them into a container. However, we need to push these new ML models into something for deployment, to be useful to the industry. The computer vision startup’s video intelligence platform provides that ideal something, he noted.


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