Hyperspectral automatic nondestructive testing and sorting device for oranges and tangerines

Abstract

The invention belongs to the technical field of fruit sorting, and particularly relates to a hyperspectral automatic nondestructive testing and sorting device for oranges and tangerines. The hyperspectral automatic nondestructive testing and sorting device comprises a rotary table; a plurality of fixing seats are evenly and fixedly arranged on the upper surface of the rotary table; a first conveyor, a second conveyor and a third conveyor are arranged on the outer side wall of the rotary table; a hyperspectral detector is mounted above the rotary table; the hyperspectral detector detects whether the oranges and tangerines are damaged or not and transmits detected data to a computer for later big data statistics; if it is detected that the oranges and tangerines are damaged, the detected data is fed back to a controller; the controller starts a second motor; the second motor drives a rotating arm to rotate; due to the fact that the center of the bottom face of the hyperspectral detector is located on a contour of a circle rotating with an output shaft of the second motor as a circle center; after the rotating arm rotates to the position of one fixing seat corresponding to the bottom face of the hyperspectral detector, the controller starts a clamping jaw; the clamping jaw is of a lantern-shaped structure, so that damaged fruits can be clamped conveniently; if fruits are not damaged, the fruits continue to be conveyed; and therefore batch detection is facilitated.

Description

technical field [0001] The invention belongs to the technical field of fruit sorting, and in particular relates to a hyperspectral automatic citrus nondestructive detection and sorting device. Background technique [0002] Hyperspectral imaging technology is based on very narrow-band image data technology. It combines imaging technology with spectral technology to detect the two-dimensional geometric space and one-dimensional spectral information of the target, and obtain continuous and narrow-band images with high spectral resolution. At present, hyperspectral imaging technology is developing rapidly, and common ones include grating spectroscopy, acousto-optic tunable filter spectroscopy, prism spectroscopy, chip coating, etc. It can be used in food safety, medical diagnosis, aerospace and other fields. Hyperspectral imaging technology can be applied to the detection of fruits to detect whether the fruits are ripe and damaged. [0003] There are following problems in exist...

AI Technical Summary

Problems solved by technology

[0004]1. The existing hyperspectral citrus non-destructive testing and sorting device usually detects a single citrus during sorting, resulting in low detection efficiency and inconvenient batch testing , is not conducive to the development of automation;

[0005]2. When using the hyperspectral detector to detect whether the citrus is damaged, it is inconvenient to detect the citrus in an all-round way, and there are likely to be dead spots in the detection, which will affect the accuracy of sorting;

[0006]3. When transporting a large amount of citrus, the conveying rack itself has no protective measures, which is not conducive to protecting the citrus, and the conveying space cannot be adjusted according to the size of the citrus, and it is inconvenient to guide Function

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