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Recognizing and identifying unidentified aerial objects or black flights has been a challenge for the National Air Operations Command Radar Unit. For this reason, a recognition and identification system that utilizes Artificial Intelligence (AI) technology is needed. But in the absence of such a system interface with the current Radar system, research has built an interface that connects the Radar system with an AI-based recognition and identification system. The main requirement is that this interface is simple and easy to operate considering the dynamics in airspace surveillance is very fast. By understanding the working mechanism in recognition and identification, a User-Case Diagram has been successfully designed that shows the working mechanism of the interface between these systems which is implemented to support the exchange of information between the Radar system and the AI-based recognition and identification system.

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A Handy Simulated Radar Interface for Black Flight Identification System

  • 会议论文

  • 发表日期：

    2025年

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  • Arwin Datumaya Wahyudi Sumari,
  • Rosa Andrie Asmara,
  • Helda Risman,
  • Ika Noer Syamsiana,
  • Dimas Rossiawan Hendra Putra,
  • Astika Ayuningtyas

摘要

Recognizing and identifying unidentified aerial objects or black flights has been a challenge for the National Air Operations Command Radar Unit. For this reason, a recognition and identification system that utilizes Artificial Intelligence (AI) technology is needed. But in the absence of such a system interface with the current Radar system, research has built an interface that connects the Radar system with an AI-based recognition and identification system. The main requirement is that this interface is simple and easy to operate considering the dynamics in airspace surveillance is very fast. By understanding the working mechanism in recognition and identification, a User-Case Diagram has been successfully designed that shows the working mechanism of the interface between these systems which is implemented to support the exchange of information between the Radar system and the AI-based recognition and identification system.