Improved carrot computer vision elaborate classification, feeding and discharging device

Abstract

The invention discloses an improved carrot computer vision elaborate classification, feeding and discharging device. The device comprises a feeding device and a discharging device. The feeding device is a push plate type step feeder, and the discharging device is a flat belt type pneumatic classifying machine. The core of the push plate type step feeder is composed of two sets of fixed push plates. Under the drive of an eccentric wheel, power is provided for the push plates through a connecting rod, and step feeding of a carrot is achieved; and the core of the flat belt type pneumatic classifying machine is composed of a plane conveying belt and an eight-opening air gun, when the long carrot moves to the position of a corresponding classifying opening under the drive of the plane conveying belt, the air gun blows air, and fruits and vegetables are blown into the corresponding classifying opening. The feeding device and the discharging device are used in cooperation with a V-shaped conveying belt, a computer vision system and a control system the feeding and passing efficiency and the classification efficiency are improved, and automatic classification of carrots is achieved.

Description

technical field [0001] The invention discloses an improved computer vision fine grading feeding and unloading device for carrots, in particular to a grading device for automatically grading carrots by acquiring carrot appearance features. Background technique [0002] Classified sales of agricultural products help to improve the market competitiveness of agricultural products and increase economic benefits. At present, some agricultural product production and processing enterprises and import and export trading companies in my country mainly rely on manual classification of agricultural products. However, with the development of the economy, the increase of labor costs, in addition to factors such as the low efficiency of manual grading, have directly or indirectly increased the production costs of enterprises, and the profits have not been greatly improved, so it is not suitable for large-scale production and promotion. . [0003] The grading of agricultural products is th...

AI Technical Summary

Problems solved by technology

However, with the development of the economy, the increase of labor costs, in addition to factors such as low efficiency of manual grading, have directly or indirectly increased the production cost of the enterprise, and the profit cannot be greatly improved, so it is not suitable for large-scale production and promotion.

[0003] The grading of agricultural products is the core link of the post-harvest commercialization of agricultural products. At present, there have been some reports at home and abroad on the use of computer vision methods for detection and grading of spherical fruits, such as apples and citrus. For example, Ying Yibin of Zhejiang University has developed an applicable The automatic grading production line for apples won the second prize of the National Science and Technology Invention Award. However, these equipments are not suitable for automatic grading of carrots and other long-shaped fruits and vegetables. At present, the grading of carrots is mainly done manually. The rollers in the gap roughly grade carrots, but it is difficult to automate, and the corresponding industry and trade standards (NYT 1983-2011 carrot grade specification or SBT 10450-2007 carrot purchase and sales grade requirements) stipulate that the carrot grade division is It is based on length, but the actual sorting is based on weight. In addition, many quality indicators are specified, such as green head, length, cracking, fibrous roots, and bending. Since these characteristics cannot be quantified, it is impossible to complete multiple indicators at the same time. accurate grading of

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