Projectile identification system

G. Beach, C. Cohen, G. Moody, Martha Henry
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Abstract

The U.S. Army plans for the needs of future warfare to retain its technological superiority. Future Combat Systems (FCS) is a major effort designed to meet this need. FCS includes multiple automated fire weapons. On current systems, a human typically enters information about each projectile loaded. This is a slow process, placing the soldier and the weapon in danger. Cybernet (through funding by TACOM-ARDEC) has created a vision system that leverages multiple simple and mature image processing techniques to recognize the projectile type as it is loaded into the system's magazine. The system uses a combination of shape detection, color detection, and character identification, along with knowledge of the projectile (such as CAD model, text location, coloring, etc.) to identify the projectile. The system processes the data in real-time, allowing the soldier to load the projectiles as quickly as possible. The system has been designed with a modular recognition framework.
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弹丸识别系统
美国陆军计划为未来战争的需要保持其技术优势。未来作战系统(FCS)是一项旨在满足这一需求的重大努力。FCS包括多种自动火力武器。在目前的系统中,通常由人输入每枚装载的炮弹的信息。这是一个缓慢的过程,将士兵和武器置于危险之中。Cybernet(通过TACOM-ARDEC的资助)已经创建了一个视觉系统,该系统利用多种简单和成熟的图像处理技术来识别弹丸类型,因为它被装入系统的弹匣中。该系统结合使用形状检测、颜色检测和字符识别,以及弹丸的知识(如CAD模型、文本位置、着色等)来识别弹丸。该系统实时处理数据,允许士兵尽快装弹。系统采用模块化识别框架进行设计。
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