A Pearl Intelligent Sorting System Based on Machine Vision

Abstract

The invention discloses an intelligent pearl sorting system based on machine vision. The intelligent pearl sorting system is composed of a feeding mechanism used for controlling feeding of pearls to be detected one by one, a monocular full-surface pearl image acquiring device used for shooting the pearls to be detected, a tapered sorting area used for temporarily storing the pearls to be detected, a sorting robot used for sorting the detected pearls and a discharging re-separating mechanism used for size separation. According to the system, full-surface images of the pearls can be obtained through one camera, the structure is simple, the cost is low, operation is convenient, and the images acquired through the sealing device are high in quality and are not interfered by other light sources or other factors; meanwhile, the system is suitable for index detection of various qualities such as the shape, the color, the size and the finish degree of the pearls; by adopting the three-dimensional discharging re-separating device, the number of classification containers is decreased, and the space utilization rate is increased.

Description

technical field [0001] The invention relates to detection based on machine vision, in particular to a pearl intelligent sorting system based on machine vision. Background technique [0002] China's freshwater pearl production accounts for more than 95% of the world's pearl production, and its output value only accounts for 10% of the global pearl output value. At present, the sorting method used by enterprises in our country is basically the traditional manual method. This method requires a lot of labor, is slow, and consumes a lot of manpower. At the same time, this subjective evaluation is subject to personal vision, color discrimination, emotion, light Influenced by various aspects, it is impossible to quantify and unify the evaluation basis, and only a single index can be screened when grading, which is not only inefficient but also poor in accuracy. Therefore, realizing the automatic sorting of pearls based on machine vision is extremely important for improving the out...

AI Technical Summary

Problems solved by technology

The disadvantages of this invention in terms of image acquisition technology: multiple high-speed cameras are used to obtain the pearl surface from different angles, which increases the cost; on the other hand, when grading the pearl color, the color system of each camera must be guaranteed It is difficult to unify, and the transparency of the glass tube is very high. Improper treatment of the light source will also cause phenomena such as reflection and refraction to affect the detection

The disadvantages of this invention: fixed-point shooting, unable to obtain the entire surface, and the feeding action mechanism is complicated, the detection of each pearl requires the movement of the movable ejector rod, which is easy to wear, increases the maintenance cost and prolongs the pearl sorting time

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