Device for automatically grading pearls on line according to size and shape on basis of monocular multi-view machine vision

Abstract

The invention relates to a device for automatically grading pearls on line according to the size and the shape on the basis of monocular multi-view machine vision. The device comprises a flow line, a monocular multi-view machine vision device and a microprocessor, wherein the flow line is used for automatically detecting and classifying pearls and comprises a feeding action mechanism, an inspection action mechanism, a discharging action mechanism, a classifying action mechanism and a classifying execution mechanism; the multi-view machine vision device is used for shooting images of pearls to be detected; and the microprocessor is used for carrying out image processing, detecting, identifying and classifying on the pearls to be detected and coordinately controlling coordinated action of the action mechanisms. The device for automatically grading the pearls on line according to the size and the shape on the basis of the monocular multi-view machine vision, disclosed by the invention, has the advantages of simple mechanism, low manufacturing cost, capability of meeting the detection of quality indexes, such as size and shape, high grading efficiency, convenience for use and maintenance and high automation degree.

Description

technical field [0001] The invention belongs to the application of three-dimensional imaging technology, machine vision technology, mechanical design technology, optical technology and automatic control technology in pearl automatic grading, and is especially suitable for pearl automatic grading in large-scale cultured pearl production enterprises. Background technique [0002] Pearls have a long history of use and cultivation in our country. By 2005, the annual output of freshwater pearls in my country will reach about 1,500 tons, accounting for more than 95% of the world's pearl output. 400-500 tons of freshwater pearls are exported, accounting for more than 90% of the freshwater pearl trading volume in the international market. The annual output of seawater pearls reaches 20 tons, ranking first in the world. However, compared with such a large pearl output in my country, the current grading method adopted by the entire industry is basically still in the stage of manual i...

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the shortcomings of the existing pearl real-time detection and grading system based on machine vision, such as complex mechanism, high manufacturing cost, difficulty in meeting the detection needs of various quality indicators, low detection and grading efficiency, difficulty in use and maintenance, and low

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