AI System for Monitoring AI Navigation Safety Using Deep Learning and Method Thereof

The present invention relates to a system for monitoring AI navigation safety using deep learning. The system includes: a camera unit installed in the direction of the runway to capture images of a traveling aircraft and transmit image data to an analysis server; an analysis server which receives im...

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Bibliographische Detailangaben
Hauptverfasser:	CHOI WON HYUK, LIM YOUNG GEUN, PARK JE HONG, JIE MIN SEOK, SEO JIN KYEONG
Format:	Patent
Sprache:	eng ; kor
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS SIGNALLING TRAFFIC CONTROL SYSTEMS
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Beschreibung
Zusammenfassung:	The present invention relates to a system for monitoring AI navigation safety using deep learning. The system includes: a camera unit installed in the direction of the runway to capture images of a traveling aircraft and transmit image data to an analysis server; an analysis server which receives image data captured from images of the aircraft through the camera unit and performs artificial intelligence image processing; and a display unit which outputs the data received from the analysis server and displays the data on a PC or control center for monitoring the data. 본 발명은 딥러닝을 이용한 AI 항행 안전 감시 시스템에 관한 것으로, 활주로 방향으로 설치하여 주행하는 항공기들을 촬영하여 분석서버로 영상 데이터를 전송하는 카메라부; 상기 카메라부를 통해 항공기들의 영상을 촬영한 영상 데이터를 전달받아 인공지능 영상 처리를 수행하는 분석서버; 및 상기 분석서버로부터 전달받은 데이터를 출력하여 PC 또는 관제센터에 표시하여 모니터링하는 표시부;를 포함하는 것을 특징으로 한다.