VisualCortex and the University of Wollongong partner to drive innovation and the computer vision industry

VisualCortex signs a mutual non-disclosure agreement with the University of Wollongong’s SMART Infrastructure Facility, joining the Hub for Artificial Intelligence of Things Solutions – an initiative supported by the Australian Government and backed by Telstra, Microsoft and NVIDIA

SYDNEY, July 25, 2022 /PRNewswire/ — VisualCortex – the video intelligence platform linking the potential of computer vision to real business results – has partnered with the University of Wollongong (UOW), joining its research and development center for intelligence solutions Artificial Objects (AIOT).

Under the terms of the mutual nondisclosure agreement between VisualCortex and UOW, the computer vision startup and the university’s SMART Infrastructure Facility will share proprietary software research and development capabilities to drive intelligently. video analysis innovations, including machine learning (ML) models, lessons learned from real-world computer vision implementations, and local employment opportunities.

Watch the joint partnership video here: https://bit.ly/3RP9A82

As part of the partnership, VisualCortex has established a satellite office at UOW’s Illawarra-based Innovation Campus – a technology district that fosters collaboration between industry and research – and joins the Telstra-UOW hub to AIOT Solutions. The hub is supported by a government grant of AU$1.7 million through the Strategic University Reform Fund (SURF); designed to establish Illawarra as a global leader in AIOT solutions for communities, businesses and governments. The hub is also supported through a collaboration with tech industry giants Telstra, Microsoft, and NVIDIA. 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.

CEO and co-founder of VisualCortex, Patrick Elliotsaid the partnership with the SMART Infrastructure Facility and the UOW AIOT Solutions Hub has produced practical results in three main ways.

“UOW and SMART showcase cutting-edge AI research capabilities that have transformative potential in today’s computer vision market,” Elliott said. “Second, 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 ability to work with PhD students and AI PhDs, and directly applying their research and skills to real-world computer vision challenges, is truly exciting.

“We have a very strong convergence of views: we offer a Video intelligence platform, which allows academics to produce large-scale ML models and see their research change the real world. At the same time, UOW provides outstanding academic expertise, industry relationships, and data governance. The marriage of the two – VisualCortex’s enterprise-ready solution computer vision platform, coupled with UOW’s ability to use this platform as a vehicle to provide industry with academically produced ML models, represents an ideal partnership. It’s a win for everyone.

“Third, the partnership provides a mutually beneficial industry avenue for academic researchers and students. To succeed and scale, VisualCortex must have access to a steady stream of the best talent available. For UOW, our partnership provides an avenue job openings via VisualCortex’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.

“Although the SMART Infrastructure Facility’s journey to intelligent video analytics is relatively recent, the growth in effort and demand has been nearly exponential,” said SMART Infrastructure Facility Director, Professor Pascal Perez. “So we know, based on its technology and the number of inquiries we’re fielding, that the market opportunity for VisualCortex is wide and wide.

“What VisualCortex is trying to do is brave: right now, most of the video analytics market is growing around vertical integration; and bespoke – if not ad hoc – solutions for specific industries, even subsectors. This means that we are going to see a lot of redundancy in terms of deploying all these single use cases computer vision tools and the fees that end users will have to pay. We therefore need a cross-functional approach, which VisualCortex implements with its industry-neutral platform.”

Perez echoed Elliott’s comments, calling the UOW – VisualCortex partnership “a perfect marriage.”

“We share the same approach to intelligent video analytics – we don’t see just one industry; we’re interested in a cross-functional approach and the fundamentals behind the different use cases,” Perez said. “At SMART, we’re good at evaluating new computer vision use cases, optimizing the algorithms, and packing them into a container. But, we need to push these new ML models into something to deploy, in order to be useful to the industry Video Intelligence Platform provides this ideal something.

“It’s the best of both worlds; and I really look forward to developing a strong partnership with VisualCortex in the years to come.”

About VisualCortex

VisualCortex makes video data actionable in the enterprise. As the world’s best video intelligence platform, VisualCortex provides the stability and scalability needed to produce computer vision technology for the first time. Unlike camera-side or point solutions, VisualCortex can be used for any video analytics use case in any industry. VisualCortex’s production-ready cloud environment transforms video assets into large-scale, analyzable data streams.

The VisualCortex platform provides artificial intelligence, governance, and usability, allowing organizations to connect any number of video streams, repositories, and use existing commodity hardware. Intuitive user interface, out-of-the-box reports, range of configurations and integrations enable non-technical people to produce, analyze and act on computer vision insights across the enterprise . Organizations can easily combine this AI-generated video information with other data sources and systems to facilitate both real-time operations and strategic analysis. The VisualCortex Model Store also provides a secure marketplace for customers, partners, and independent machine learning experts to share quality-controlled computer vision models. For more information, visit www.visualcortex.com

For regular updates, follow VisualCortex on Twitter (@VisualCortexApp), LinkedIn (Visual cortex), Youtube (Visual cortex) and Facebook (@VisualCortexApp).

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About UOW, SMART Infrastructure Installation and Telstra-UOW Hub for AIOT Solutions

SMART Infrastructure Facility is a research institution dedicated to helping governments and businesses better plan for the future. SMART’s work is complemented by collaborations with experts from the University of Wollongong (UOW) faculties in infrastructure-related areas such as energy generation and storage, water sustainability, engineering environment, spatial geotechnics and social planning. SMART is involved in key international partnerships and collaborations to address some of the grand infrastructure challenges.

The Telstra-UOW hub for AIOT solutions will provide AIOT solutions that are innovative, cost effective and tailored to the needs of communities, businesses and governments. The Hub was developed with the support of a $1.7 million Grant from the Federal Government through the Strategic University Reform Fund (SURF) to give Australia traction in a growing global market, while using applied research to increase productivity and create jobs. Its focus is cutting-edge research in several AIOT technologies, including intelligent video analytics, sensor-integrated edge computing to optimize data fusion and transmission, and digital industrial twin technology.

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(PRNewsfoto/VisualCortex)

(PRNewsfoto/VisualCortex)

SOURCEVisualCortex

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