Powered by MOMENTUM MEDIA
Powered by MOMENTUM MEDIA

Website Notifications

Get notifications in real-time for staying up to date with content that matters to you.

Artificial intelligence trialled in search and rescue missions

An artificial intelligence project run by Defence personnel in search and rescue (SAR) trials has the potential to save lives.

An artificial intelligence project run by Defence personnel in search and rescue (SAR) trials has the potential to save lives.

The project, dubbed AI-Search, aims to apply modern AI to help detect small and difficult-to-spot targets, such as life rafts and individual survivors.

Advertisement
Advertisement

Plan Jericho’s AI lead, Wing Commander Michael Gan, said his team recognised the potential for the technology to augment and enhance SAR.

“The idea was to train a machine-learning algorithm and AI sensors to complement existing visual search techniques,” he said.

“Our vision was to give any aircraft and other Defence platforms, including unmanned aerial systems, a low-cost, improvised SAR capability.” 

SPONSORED CONTENT

 

His team approached Lieutenant Harry Hubbert of Warfare Innovation Navy Branch, who was prominent in developing AI-enabled autonomous maritime vehicles for the Five Eyes Exercise Autonomous Warrior in Jervis Bay in late 2018.

LEUT Hubbert was given a month to develop the new algorithms and completed the work in a fortnight.

The AI comprises a series of machine-learning algorithms alongside other deterministic processes to analyse the imagery collected by camera sensors and aid human observers.

AI-Search was first trialled successfully aboard a RAAF C-27J Spartan last year. The second trial took place in March this year near Stradbroke Island, Queensland. During these trials, AI-Search detected a range of small targets in a wide sea area while ‘training’ the algorithm.  

Using commercial off-the-shelf components with custom software and programming by LEUT Hubbert, the trials highlighted the feasibility of the technology, which can be applied easily to other ADF airborne platforms.

“There is a lot of discussion about AI in Defence but the sheer processing power of machine-learning applied to SAR has the potential to save lives and transform it,” LEUT Hubbert said.

The project is a collaboration between Warfare Innovation Navy Branch, Plan Jericho, RAAF Air Mobility Group’s No. 35 Squadron and the University of Tasmania’s Australian Maritime College.

The project stemmed from a challenge from the Director-General Air Combat Capability, AIRCDRE Darren Goldie, to find a way of enhancing SAR using improved sensors.

Artificial intelligence trialled in search and rescue missions
Webpnet-resizeimage_25.jpg
lawyersweekly logo

more from defence connect

David Fawcett
Jun 4 2020
INSIGHT: COVID-19 implications on national sovereignty - the Hon. David Fawcett
On this episode of Defence Connect Insight, hosts Phil Tarrant and Steve Kuper are joined by the Hon...
Jun 4 2020
Foreign drones turning the tide in Libya
On 1 March, the Turkish military launched an air assault on a number of Syrian government targets in...
Jun 4 2020
Op-Ed: Beefing up Australia’s strategic sealift capabilities
Australia’s acquisition of the two Canberra Class LHDs was marked as a major step-change in the n...
FROM THE WEB
Recommended by Spike Native Network