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相机分拣机常用于食品和非食品分拣,如炸薯条、虾、蔬菜、小吃、棉花、塑料等。但有些看不见的异物(如玻璃)或与产品颜色相同的异物是无法由相机检测到的。而激光扫描系统则可用于检测与产品颜色相同的异物。设计和改进了基于选择性吸收原理的激光分选系统,并对系统进行了高速信号采样实验以及成像实验。在信号采样实验中,系统可以通过选择性吸收分选技术有效识别产品和异物。在成像实验中,选择报纸的标题作为成像样图,调整扫描光斑直径接近0.35 mm,扫描后的数据经由计算机程序转码并成像。实验成像的分辨率为180×43 pixel。成像结果表明,系统可以有效地识别1.5 mm的异物。最后对光学扫描系统进行了分析,发现部分的光信号损失于扫描光的非垂直入射,于是提出了曲线扫描分拣结构用以改进传统分拣系统。
Camera sorter commonly used in food and non-food sorting, such as French fries, shrimp, vegetables, snacks, cotton, plastic and so on. However, some invisible objects (such as glass) or foreign objects of the same color as the product can not be detected by the camera. The laser scanning system can be used to detect foreign products with the same color. The laser sorting system based on selective absorption principle was designed and improved. The high-speed signal sampling experiment and imaging experiment of the system were carried out. In signal sampling experiments, the system effectively identifies products and foreign objects through selective absorption sorting. In the imaging experiment, the title of the newspaper was selected as the imaging sample, the scanning spot diameter was adjusted to be close to 0.35 mm, and the scanned data was transcoded and imaged by the computer program. Experimental imaging resolution of 180 × 43 pixel. Imaging results show that the system can effectively identify 1.5 mm foreign objects. Finally, the optical scanning system was analyzed and it was found that part of the optical signal was lost to the non-normal incidence of the scanning light. Therefore, a curved scanning sorting structure was proposed to improve the traditional sorting system.