Intelligent sorting control method and intelligent sorting control system

Abstract

The invention relates to the technical field of industrial robots, in particular to an intelligent sorting control method and an intelligent sorting control system, the intelligent sorting control system applies the intelligent sorting control method, and the intelligent sorting control method comprises the following steps: acquiring a plurality of pieces of image information of a workpiece to besorted, wherein the image information carries information of a Gray code positive code grating image and a Gray code negative code grating image; constructing a dense disparity map of the to-be-sortedworkpieces according to the image information and an SLIC algorithm, and generating a 3D model of the to-be-sorted workpieces by utilizing the dense disparity map; and inputting the 3D model into anidentification model constructed based on a Solo framework so as to complete identification and sorting of the to-be-sorted workpieces. Therefore, the intelligent sorting control method and the intelligent sorting control system can effectively reduce the algorithm complexity and the system operation burden, greatly improve the identification precision and the identification speed, and improve theworkpiece identification types.

Description

technical field [0001] The invention relates to the technical field of industrial robots, in particular to an intelligent sorting control method and an intelligent sorting control system. Background technique [0002] With the continuous development of science and technology, industrial robots have been widely used in industrial manufacturing and production, and play an important role in the process of factory automation and intelligence. For example, using industrial robots to sort workpieces can greatly save manpower and improve the degree of industrial automation. Existing industrial robot sorting systems mostly use template matching to identify the 3D models of the workpieces to be sorted generated by the system, and obtain the three-dimensional information of the 3D models of the workpieces to be sorted, and combine this information to calculate the workpieces to be sorted or The location information of the materials to be sorted in the real space, and use the robotic ...

AI Technical Summary

Problems solved by technology

However, the recognition speed of this method is slow, the recognition accuracy is low, and the number of templates in the template library is limited. The types of workpieces to be recognized are also greatly limited, which in turn affects the recognition and spatial positioning of objects, and the grasping and sorting of objects. There will be deviations, and it is impossible to achieve fast and accurate material sorting and cannot meet the needs of industrial production

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