발간년도 : [2017]
| 논문정보 |
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| 논문명(한글) |
[Vol.12, No.1] Detecting Shell Crater Based on Image Processing and Its Cloud Based Management System |
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| 논문투고자 |
Chang-Hee Cho, Jin-Sul Kim, Sang-Joon Lee |
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| 논문내용 |
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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