Fruit grading device based on orthogonal binocular machine vision

Abstract

The invention relates to a fruit grading device based on orthogonal binocular machine vision. A fruit to be detected is arranged on a conveyor belt on a base plate of a seal box, a motor is connectedwith the conveyor belt, first and second fruit transverse center position detection mechanisms are arranged in the two sides of the conveyor belt respectively, a first industrial camera is mounted inthe upper portion of the seal box, a second industrial camera is mounted in the right side of the seal box, and the central axis of the first industrial camera is orthogonal with that of the second industrial camera; and the first and second industrial cameras internally provided with an image collection module are connected with a display processing host, the display processing host is internallyprovided with an image processing module for processing images in real time, and the second fruit transverse center position detection mechanism is provided with a timer for timing. The continuous fruits can be graded automatically without loss via the orthogonal binocular machine vision technology, the grading accuracy is extremely high, the speed is high, and the detection device can be appliedwidely in future.

Description

Technical field [0001] The invention relates to the technical field of fruit grading, in particular to a fruit grading device based on orthogonal binocular machine vision. Background technique [0002] At present, domestic fruit grading mainly relies on manual combined with machinery. However, it is not easy to grasp the diameter through manual intuitive judgment, and the manual grading error is very large. In the grading process, the work is cumbersome, the efficiency is low, and it is easy to cause contact damage to the fruit. At the same time, there are strong subjective factors, such traditional grading methods can no longer meet the needs of fruit grading. [0003] In recent years, the grading method has gradually turned to the direction of machine vision, which can achieve non-destructive grading, and has the characteristics of high efficiency and high accuracy. Nowadays, machine vision technology is widely used in product grading, such as eggs, citrus, and pears. There are ...

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Problems solved by technology

[0002] At present, the grading of fruits in China mainly relies on manual and mechanical realization. However, it is difficult to grasp the diameter through manual visual judgment, and the manual grading error is very large. In addition, the work is cumbersome and inefficient during the grading process, which is easy to cause contact damage to the fruit. , and there are strong subjective factors at the same time, such traditional grading methods can no longer meet the needs of fruit grading

[0003] In recent years, the grading method has gradually turned to the direction of machine vision, which can achieve non-destructive grading, and has the characteristics of high efficiency and high accuracy. Nowadays, machine vision technology is widely used in product grading, such as eggs, citrus, pears, etc. There are many varieties, different sizes and shapes, and less research on fruits with complex structures

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