Infrared measurement type apple sorting machine

Abstract

The invention discloses an infrared measurement type apple sorting machine which comprises a storage hopper, a circulating feeding plate, round supporting rings, a rotating rod, ejection feeding plates, sorting chutes, adjustable light sources, a rail supporting rod, infrared detectors, arc clamping plates, an annular rail and the like. The storage hopper, a buffer tank, a horizontal tank and the sorting chutes are all internally provided with buffer rubber pads correspondingly. Range sensors are arranged in the arc clamping plates. The ejection feeding plates are each in an arc shape. A rail sliding chute is arranged in the annular rail. By arranging the buffer tank, clamping plate grooves and the arc clamping plates, apples are preliminarily measured and screened conveniently and fast, then the adjustable light sources, a light resistant chamber and the infrared detectors are used, and accordingly the purpose of accurate and efficient recognizing and sorting of the apples is achieved.

Description

technical field [0001] The invention relates to a kind of fruit sorting equipment, in particular to an infrared measuring type apple sorting machine, which belongs to the technical field of sorting equipment. Background technique [0002] With the continuous advancement of science and technology, people's living standards are also constantly improving, and the demand for apples is also increasing. For more and more apples, many companies still use manual sorting, which is labor-intensive and low-efficiency. Although most of the existing sorting equipment on the market is for size identification, maturity identification equipment is Rarely, sorting is generally based on image recognition, which generally has the disadvantages of large equipment investment, slow sorting speed, and difficult maintenance. Contents of the invention [0003] In view of the above problems, the present invention provides an infrared measuring apple sorting machine, which has a reasonable structur...

AI Technical Summary

Problems solved by technology

For more and more apples, many companies still use manual sorting, which is labor-intensive and low-efficiency. Although most of the existing sorting equipment on the market is for size identification, the identification equipment for maturity is not Rarely, sorting is generally based on image recognition, which generally has the disadvantages of large equipment investment, slow sorting speed, and difficult maintenance

Images