<i>AV4GAInsp:</i> An Efficient Dual-Camera System for Identifying Defective Kernels of Cereal Grains

Abstract

Grain Appearance Inspection (GAI) is a pre-requisite for grain quality determination, providing guidance for grain processing, storage, and trade. GAI is routinely performed by trained inspectors who are required to visually inspect cereal grains for each individual kernel. Since grain kernels (e.g., wheat, rice) are tiny with heterogeneous shapes and appearance, manually performing GAI is time-consuming and error-prone. This letter presents a machine vision-based customization of an automated system for grain appearance inspection, called AV4GAInsp, which consists of a device and an analysis framework. The device is equipped with an elaborate feeding module and a capturing module for automatically pre-processing grain kernels and efficiently acquiring high-quality images for these kernels