Pearl real time detection and classifying system based on mechanical vision

Abstract

The invention discloses pearl real-time detection and grading system based on machine vision which includes: computer vision recognition component which is equipped under the charging conduit of pearl charging device, and pearl sorting device is equipped under the computer vision recognition component. Using the computer vision technology, collecting image of sequential free-falling pearl surface, sending the collected image to DSP and computers and other hardware apparatus to dealing, then distinguishing the pearl classification standard instantaneously through the dealing results, last sending the distinguishing information to sorting device to achieving classification of pearl with different characteristics automatically using devices. It can get pearl whole surface image, can complete the testing of whole apparent quality index such as pearl size, shape, smooth, defect and color, etc. simultaneously, achieve the rapid real-time detection and grading. The system can adapt to different classification speed, and the structure is simple, adaptability is strong.

Description

technical field [0001] The invention relates to a machine vision-based detection and grading system, in particular to a machine vision-based pearl real-time detection and grading system. Background technique [0002] my country is one of the first countries in the world to discover and use pearls. In 2005, the annual output of pearls in my country reached more than 1,500 tons, accounting for more than 95% of the world's total output, and the output of freshwater pearls accounted for 99% of the world's output. There are more than 400,000 people engaged in the pearl industry and related industries, and there are nearly a thousand enterprises engaged in the processing and sales of freshwater pearls, with an output value of more than 6 billion yuan. At present, freshwater pearl industry clusters represented by Zhuji, Zhejiang, and seawater pearl breeding trade bases in Beihai and Zhanjiang have been formed nationwide. Different pearls have different values ​​according to their...

AI Technical Summary

Problems solved by technology

At present, this technology has been applied in the field of pearl grading, but it can only be classified according to a single requirement such as shape classification, and it cannot be uniformly graded for smoothness and blemishes; at the same time, it cannot achieve smoothness and blemishes. The requirements for analyzing each surface of the pearl, which can only obtain the image information of part of the surface of the pearl to be tested, the missed detection rate of pearl surface defects is high

In addition, due to its slow speed, it is impossible to realize the fast online detection of pearls.

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