Material sorting equipment using multiple camera imaging modules and material sorting method

Abstract

The invention relates to material sorting equipment using multiple camera imaging modules and a material sorting method. The material sorting equipment using the multiple camera imaging modules comprises a feeding mechanism, imaging systems, a removing device and receiving devices, wherein the feeding mechanism, the imaging systems and the removing device are sequentially arranged in the moving direction of materials; and the receiving devices are used for receiving the materials. The imaging systems comprise the first imaging system arranged on the front face of a material operation path and the second imaging system arranged on the back face of the material operation path. After the materials break away from the feeding mechanism, the imaging systems are used for collecting material images, the obtained material images are treated by an image treatment system, and accordingly qualified materials and unqualified materials can be judged. Then, a control system is used for controlling the removing device to get rid of the unqualified materials, the removed materials fall into the second receiving device, and qualified products fall into the first receiving device so that the materials can be sorted. By means of the material sorting equipment using the multiple camera imaging modules and the material sorting method, sorting accuracy of the material sorting equipment can be improved obviously. Compared with material sorting equipment in the prior art, the material sorting equipment using the multiple camera imaging modules is faster and more convenient and efficient.

Description

technical field [0001] The invention relates to a material sorting device and method using a multi-camera imaging module. Background technique [0002] With the extensive application of color sorters in the sorting of rice and miscellaneous grains, China's color sorter industry has entered a period of rapid growth, with more and more manufacturers, more and more varieties and specifications, and the share of domestic equipment is also increasing year by year . With the increase of manufacturers, the functions of color sorting machines are becoming more and more complete. From the earliest single-channel model to multi-channel model, from the original grayscale sorting function to chroma sorting, color difference sorting, Functions such as shape selection have developed from visible light recognition to infrared light, ultraviolet light, and laser recognition. Especially in recent years, China's color sorter industry has developed more rapidly, and has been widely used in p...

AI Technical Summary

Problems solved by technology

However, this imaging method has some inherent defects: it can only collect part of the signals on the front and back sides of the material, and there will be visual blind spots, resulting in the loss of part of the information of the material

Due to the existence of such blind areas, some materials will be missed, such as removing moldy corn kernels from normal corn kernels, because the mold spots are relatively small, and the mold spots can be distributed in various places on the corn surface. In the blind area, the camera will not be able to collect the mildew signal, which will be retained as normal corn kernels, resulting in missing selection and reducing the accuracy of color selection

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