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Comparison of two simplified method for real-time object detection: An application in safety engineering

机译:两种简化的实时对象检测方法的比较:在安全工程中的应用

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We present and compare two simple systems of image processing for safety control. The sequence of the images from two cameras is presented to the system in order to detect a new object appearing in a detection zone. In order to make our system able to adapt to changes in illumination level the analysis is performed in HSV (Hue, Saturation, Value) color space. On the basis of images from camera the distance between man and moving parts of a machine is calculated and compared to the minimum acceptable. Experiments conducted using artificial images indicate that our system can work in a real time and detect successively dangerous situations. As results from the experiments, the safety system is able to work for a wide range of illumination and noise. An example of possible application of the system is presented. Performed simulations show that application of vision based system can significantly decrease downtime.
机译:我们介绍并比较了用于安全控制的两个简单的图像处理系统。来自两个摄像机的图像序列被呈现给系统,以便检测出现在检测区域中的新物体。为了使我们的系统能够适应照明水平的变化,我们在HSV(色相,饱和度,值)色彩空间中进行了分析。根据摄像机的图像,计算出人与机器运动部件之间的距离,并将其与最小可接受距离进行比较。使用人工图像进行的实验表明,我们的系统可以实时运行并连续检测到危险情况。实验结果表明,该安全系统能够在宽范围的照明和噪声下工作。给出了系统可能应用的一个例子。进行的仿真表明,基于视觉的系统的应用可以显着减少停机时间。

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