Mechanical vision fruit classifying system controlled by shift register

Abstract

The invention discloses a machine vision fruit grading system controlled by a shift register. Both the conveying device and the grading device are composed of two sprockets and a chain surrounding the sprockets. The power is input to the grading device from the outside, and then the The grading device is transmitted to the conveying device synchronously; the encoder is installed on the conveying device, and is connected to the image acquisition card installed in the computer through a wire; the light box is installed above the conveying device; The computer is connected to the shift register group through the parallel port, and the shift register group is connected to the grading mechanism installed on the grading device through the respective grading mechanism controller; the discharge port is installed under the grading device and corresponds to the grading mechanism ; The software inside the computer can process the fruit image in grades, and control the action of the graded control mechanism in real time according to the processing results. The invention can use the shift register to track synchronously to realize automatic grading according to external characteristics such as fruit size, skin color, surface defect, fruit shape, and surface smoothness, and the detection process is non-destructive detection.

Description

technical field [0001] The invention relates to a machine vision fruit grading system controlled by a shift register. Background technique [0002] At present, the level of post-harvest treatment of fruits in my country is still very low. Most fruits are directly listed without post-harvest treatment after picking, which affects the commodity value of fruits. There are also some fruits that are manually and visually identified and judged according to the grading indicators such as their maturity, surface defects, fruit stem integrity, size, and weight. Therefore, the classification of fruits is relatively subjective, and the efficiency is quite low. It hinders the development of my country's national economy and the improvement of farmers' income. The existing fruit grading equipment mainly uses one or two indicators such as the weight and size of the fruit. The former mainly uses sieve holes, roller gaps, etc., and the latter mainly uses electron...

AI Technical Summary

Problems solved by technology

[0002] At present, the level of post-harvest treatment of fruits in my country is still very low. Most of the fruits are directly listed without post-harvest treatment after picking, which affects the commodity value of fruits.

There are also some fruits that are manually and visually identified and judged according to the grading indicators such as their maturity, surface defects, fruit stem integrity, size, and weight. Therefore, the classification of fruits is relatively subjective, and the efficiency is quite low. It has hindered the development of our country's national economy and the improvement of farmers' income

The existing fruit grading equipment mainly uses one or two indicators such as the weight and size of the fruit. The former mainly uses sieve holes, roller gaps, etc., and the latter mainly uses electronic scales and force balance brackets for grading equipment. , this type of equipment cannot grade fruits with surface defects and unique fruit shapes, and there are deficiencies such as easy damage to the surface of fruits during the grading process

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