Scrap Metal Sorting with Colour Vision and Inductive Sensor Array
Scrap Metal Sorting with Colour Vision and Inductive Sensor Array
复制标题
使用色觉和感应传感器阵列进行废金属分类
DOI：
10.1109/cimca.2005.1631554
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
A. Vattulainen
中科院分区：
文献类型：
--
作者：
M. Kutila;J. Viitanen;A. Vattulainen
提出了一种新型的废金属自动分选系统，该系统采用基于彩色视觉的光学传感系统和电感传感器阵列。在一个真实的金属回收厂中验证了该系统的运行。长周期试验结果表明，当进料输送机速度限制在1.5 m/s以下时，可达到80%的纯度。所描述的系统不是为任何特定的金属设计的。但只有在分离红色（黄铜、铜）和明亮金属（不锈钢）时才能达到上述分离结果。铝、锌和镁的性质对于电流感测原理来说太相似了。结果不仅取决于传感系统，还必须考虑实际分拣机中的最佳工作流程、照明、灰尘和振动。所获得的纯度和容量足以用于工业用途。尽管废金属的多样性，传感器融合的有效使用提供了良好的性能
This paper presents a novel automatic scrap metal sorting system which employs a colour vision based optical sensing system and an inductive sensor array. The operation of the system is verified in a real metal recycling plant. The long period test results indicate that 80 % purity can be achieved when the feeding conveyor speed is limited below 1,5 m/s. The described system is not designed for any particular metal. However, the above separation result can only be achieved when reddish (brass, copper) and bright metals (stainless steel) are separated. The properties of aluminium, zinc, and magnesium are too similar for the current sensing principle. The results do not only depend on the sensing system, but also optimal work flow, lighting, dust and vibrations have to be considered in a practical sorting machine. The achieved purity and capacity is sufficient for industrial use. Efficient use of sensor fusion provides good performance despite the diversity of the scrap metals