탄흔 검출을 위한 이미지 처리와 클라우드 기반 데이타 관리 시스템
Detecting Shell Crater Based on Image Processing and Its Cloud Based Management System
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초록
정보기술은 국방 분야에서 사격 훈련과 같은 군인들의 직무 능력을 배양하는데 중요한 역할을 하고 있다. 자동 표적 평가 및 관리시스템을 개발하기 위하여, 본 논문에서는 저비용 이미지 처리 시스템과 클라우드 컴퓨팅 기반의 탄흔 관리시스템을 제안한다. 이미지 프로세싱 시스템은 범용 하드웨어와 Open CV라는 오픈소스를 이용하여 개발하였고, 이는 적외선 카메라와 적외선 광원을 이용하여 입력 처리에서의 노이즈를 제거할 수 있었다. 발사체와 타겟 표적 간의 충돌시간을 계산하기 위해 Arduino 오픈소스 하드웨어와 소프트웨어를 활용하였다. 클라우드 기반 웹 시스템을 이용하여 개별 사격 기술 데이터를 위한 타겟 데이터 관리 시스템을 개발, 분석, 테스팅하였다. 제안된 시스템은 측정정확도, 측정소요시간, 검색시간, 다른 시스템과의 비교를 통해 우수성을 증명하였다. 본 시스템은 국방 IT 연구 분야로서 많은 분야에 활용이 가능할 것으로 예상된다. 또한 범용 하드웨어와 오픈소스 소프트웨어를 사용했기에, 적은 비용으로 국방 IT 시스템의 개선이 가능할 것이다.
Abstract
Information Technology is played an important role for improving soldier capability like shooting practice in case of national defense field. To develop automative system for detecting and measuring shell crater and its management system, a low cost image processing system and Cloud computing system were applied in this paper. The image processing system was made by using general hardware and open source, OpenCV, and it could be removed noise in input processing by using infrared rays camera and infrared rays light source. And Arduino open source hardware and software was used for calculation collision time between target and projectile. The management system of detected data was developed, analyzed and tested for individual shooting skills data by using a cloud-based Web. The performance of proposed system was proved by measurement accuracy, measurement time and retrieved time, and comparison with other systems. This system is expected to be utilized in many IT areas as defense research. And it can be expected to upgrade defense system by low cost because it consists with general hardware and open source.
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