• No. 35 Squadron C-27J Spartan loadmasters deploy search-and-rescue equipment during a trial off Stradbroke Island. 
Defence/Corporal Jessica de Rouw
    No. 35 Squadron C-27J Spartan loadmasters deploy search-and-rescue equipment during a trial off Stradbroke Island. Defence/Corporal Jessica de Rouw
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An artificial intelligence (AI) 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.

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

 “The idea was to train a machine-learning algorithm and AI sensors to complement existing visual search techniques,” WGCDR Gan said. “Our vision was to give any aircraft and other Defence platforms, including unmanned aerial systems, a low-cost, improvised SAR capability.”

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 led by DST Group.

LT 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 LT 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,” LT 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. Its genesis was a challenge from the Director General Air Combat Capability, AIRCDRE Darren Goldie, to find a way of enhancing SAR using improved sensors.

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