Singapore employs more AI in air force command post
The Republic of Singapore Air Force (RSAF) is employing locally developed AI technology in its command post during Exercise Forging Sabre in Idaho, US.
Used for the first time in the wargame, the Defence Science and Technology Agency has developed automatic target detection software that leverages AI to automatically locate and mark static and moving targets on Heron 1 UAV video feeds.
Moving targets are further analysed by a target look-ahead (TLA) capability, where algorithms analyse data such as potential routes, speed and terrain to predict the target’s future position, giving planners a better sense of when to call in an airstrike.
The system will denote a recommended strike area, which balances factors like distance between ground structures (to prevent collateral damage), blast radius and range for an accurate strike. TLA was first introduced in the 2017 exercise in Arizona, but it is improved for this year.
‘These processes actually help all the battle staff come to a faster appreciation of the situation,’ Col Aldrin Tan, exercise air director, told media. ‘So it enables the entire command post to think and decide faster.’
Previously, personnel would have to manually identify potential targets from the video feed, as well as estimate time over strike areas for moving vehicles, which is ‘prone to errors,’ said Tan.
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