Machine Vision System for Real-time Grain Inspection and Grading

Abstract

The invention discloses a corn real-time detection and grading machine vision system. The system consists of a power and transmission mechanism, a computer vision identification mechanism, a single granulating device and an automatic grading mechanism, wherein grains enter from a feed port, speeds of the grains are controlled by the power and transmission mechanism; the grains are conveyed one byone by virtue of the single granulating device; pictures of the single granulated grains are collected by the computer vision identification mechanism; the collected pictures are subjected to pictureprocessing to acquire characteristic information of each grain, such as shape, color, size, surface smoothness, surface defect and the like; and the grade of the grain is determined in mode identification. In the whole process, each grain is tracked, when the grade identified grain reaches a discharge area, the automatic grading mechanism of grains is controlled by a control module of the computer vision identification mechanism to realize that the identified grain automatically falls in a collection case from the discharge port. Therefore, the level of automatically detecting and grading thegrains is improved.

Description

technical field [0001] The invention relates to a machine vision system, in particular to a machine vision system for real-time detection and classification of grains. Background technique [0002] Strengthen the quality inspection and monitoring of grains, measure the quality of grain varieties in regional trials, and provide quality basis for screening and determining new varieties; track and identify high-quality special grain varieties after approval, and test the quality stability of grain varieties; Carry out quality spot checks, quality inspections and comprehensive evaluations of grain varieties popularized in a large area, compile annual reports on grain quality across the country and in each advantageous area, and provide relevant inspection and testing information; study new inspection techniques and methods, formulate and revise relevant standards, and improve grain quality The quality and level of testing are of great significance. [0003] Grain grade testing ...

AI Technical Summary

Problems solved by technology

In the past, grain grading was mainly done manually, which required a lot of labor, not only labor-intensive, but also subject to subjective influences, such as personal vision, discrimination, emotion, fatigue, light and other factors, which was inefficient and accurate. bad sex

Although the color sorter has a great advantage in speed, it cannot guarantee high precision, especially impurities that have nothing to do with color cannot be removed

There are also some foreign manufacturers who have developed some grain grading instruments. However, they are greatly influenced by local varieties and are not suitable for my country’s grain varieties. Although some scholars have studied grading methods in the past, most of them stay in theoretical research.

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