AGO Labs calls for $100k demonstrator projects

By on 14 August, 2019

The Australian Geospatial-Intelligence Organisation (AGO) is looking to fund projects from Australian geospatial leaders as it seeks new technology partners and deeper industry engagement.

The agency seeks a deeper interface with the Australian geospatial landscape through its Analytics Lab Program (AGO Labs), and is seeking project proposals until September 6.

Three demonstrator projects will be funded through the call at a value of $100,000 each, as the AGO looks to expand its pool of companies and technologies to work with on automated gepospatial intelligence.

The program aims to ‘address AGO capability challenges through a small number of short-term industry projects, with a focus on machine learning and analytics for producing automated imagery analysis, including automated object classification’, according to Frontier SI.

The AGO has nominated novel capability challenge topics including ‘beautiful contours’, ‘features unsupervised’ and ‘low-cost object identification models’.

Geraldine Li, FrontierSI Business Development Manager, said the AGO Labs is a great opportunity to open up new markets for Australian companies.

“This exciting opportunity can really help AGO extend its capability and access those innovation markets that were unreachable in the past. At the same time a program like this can really enable Australian businesses show AGO what they’ve got,” she said.

At FrontierSI, we’re really looking forward to building a long-term relationship with AGO and brokering projects with innovation supply side partners to deliver this cutting edge program to solve real world problems.”

Stay up to date by getting stories like this delivered to your mailbox.
Sign up to receive our free weekly Spatial Source newsletter.

You may also like to read:


, , , , , , , , , , ,


Newsletter

Sign up now to stay up to date about all the news from Spatial Source. You will get a newsletter every week with the latest news.

  • This field is for validation purposes and should be left unchanged.
Mapping invasive grasses with machine learning
Researchers have developed a model that can identify Gamba g...
Leica launches pint-sized smart antenna, Zeno FLX100
Leica lobs a tiny, modular new GNSS antenna for field captur...
Q&A with Andy Sexton
We sit down with Andy Sexton, whose Navigat/AR system seeks ...
Record for largest drone swarm broken twice in September
Mind-bendingly large and complex aerial performances from UA...
Faro launches enterprise edition of Webshare suite
Faro has launched an enterprise edition of its Webshare 3D r...
Nextcore launches RN100 UAV LiDAR unit
Nextcore launches its next-generation LiDAR sensor for UAVs....