A hyperspectral detection device for surface damage of fruits and vegetables

Abstract

A hyper-spectral detection device for surface damage of fruits and vegetables comprises a fruit and vegetable rotating system. A fruit and vegetable input conveying belt is arranged on the right sideof the fruit and vegetable rotating system. A fruit and vegetable output conveying belt is arranged on the left side of the fruit and vegetable rotating system. A receiving box is arranged on the lower side of the fruit and vegetable rotating system. A hyper-spectral detector is arranged on the upper side of the fruit and vegetable rotating system. Fruits and vegetables are conveyed to the position between two discs at the rightmost end of the fruit and vegetable rotating system through the fruit and vegetable input conveying belt, and the fruits and vegetables are arranged on the upper sidesof the multiple discs on different sides. The inclined and rotating discs enable fruits and vegetables to move from right to left and rotate at the same time under the action of friction, so that thefruits and vegetables can be detected in an all-round manner under the hyper-spectral detector. According to the invention, fruits and vegetables are rotated under the hyper-spectral detector for all-round detection, there is no blind spot in fruit and vegetable detection, multiple samples are detected at the same time, the efficiency and the detection quality are high, the fruits and vegetables are not easy to damage, and the quality of the fruits and vegetables can be protected.

Description

technical field [0001] The invention belongs to the technical field of food quality detection, in particular to a hyperspectral detection device for surface damage of fruits and vegetables. Background technique [0002] Fruits and vegetables are indispensable food in residents’ life, and most of them need long-distance transportation. During transportation and storage, if the fruits and vegetables that are about to fester are not cleaned up in time, other fruits and vegetables around them will quickly fester. Therefore, rapid detection and early separation are required. However, traditional food testing is mostly manually selected by inspectors, which is time-consuming, laborious and inefficient. The traditional hyperspectral nondestructive testing technology only obtains the spectral image of one side of the food, but cannot obtain the spectral images of the side and back of the food. If the damaged and festering side is facing down and cannot be detected, it will be cons...

AI Technical Summary

Problems solved by technology

Such as Chinese patent CN201410151741.X published a hyperspectral-based fruit and vegetable surface damage detection device, the efficiency of food hyperspectral image acquisition is low. In hyperspectral detection, the spectrum is collected one sample at a time. During the process, it is easy to damage the skin of fruits and vegetables

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