Funjin (CEO Kim Deuk -hwa), a defense artificial intelligence (AI), announced on the 2nd that it has been capable of increase the performance of the ‘Battlefield Specialization’ for ‘Battlefield Practice’ for a short while.
Funjin participates within the AI & Big Data Show, which will probably be held at COEX in Seoul until the thirteenth, and is specializing in defense solutions resembling ‘KWM’ (KWM).
Until 2022, Funjin was an organization that focused on telecommunications and edge AI technology. Nonetheless, on the ‘2022 CES’ site, the corporate began to change to the defense AI business based on the Edge AI -based MOU with Hanwha System. Since then, he has focused on relevant research, and is currently conducting plenty of military agencies and technical demonstrations (POCs).
Lim Sung -joon, executive director of the AIOT Solution Business Division, said, “The rationale why we were able to determine as a significant defense AI company within the industry was that we quickly reflected the feedback within the strategy of demonstrating the technical demonstration,” he said.
That is an example of the AI synthetic data platform ‘Eagle Eye’. Eagle Eye has recently received ‘Military Suitable approval’. Lim Sung -joon said, “The defense field data is rare and the safety is thorough, so we want additional data.” Because of the primary proposal, we’re flexibly advancing the technology based on the demand, resembling specializing in ‘marine boundary image data’ and providing customized.
He emphasized that he’s specializing in usability and application in the sphere. The secret’s communication.
Unlike private solutions, the defense AI solution relies on an unstable communication situation on the battlefield. At the moment, it was difficult to resolve the issue simply if he considered improving communication technology. For instance, even when drones fly and shoot high -definition images, the transmission mustn’t be delayed or data is lost because of an unstable communication network.
In other words, it emphasized that efficient data allocation and determination are vital in a limited situation.
Lim said, “If there may be a restriction on the quantity of communication, it could be a priority to transmit the essential image and video data on the battlefield.” “AI should play a task in determining data priorities.” Ondivis AI and Edge AI are also vital, but they should develop AI’s data discrimination.
“Lately, we’ve got found a brand new breakthrough called ‘propagation evaluation’ in addition to vision AI,” he said. “On this case, the institution first suggested the concept.
Lim Sung -joon said, “We take part in five events only this month, and the schedule is full until December,” he said.
By Jang Se -min, reporter semim99@aitimes.com
