Design of Mechanical Damage Detection Device for Fruits

Abstract

This paper introduces a new fruit mechanical damage device, which is based on machine vision technology, using RISC-V processor architecture, in order to be able to monitor and identify in real time the damage that fruits may suffer during harvesting, transportation and handling, and automatically trigger rejection measures to reduce the rate of defective products. The device consists of an image acquisition module, an image processing module, an algorithm module, and a control module. The image acquisition module is responsible for collecting images of fruits; the image processing module processes the images according to the preset algorithm and extracts the differential features between fruits and background; the algorithm module classifies and judges according to these features to determine whether the fruits have suffered damage; the control module then automatically triggers corresponding rejection measures, such as stopping transportation, sieving, etc., according to the algorithm results.