Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 2003.09a
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- Pages.644-647
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- 2003
Visual Bean Inspection Using a Neural Network
- Kim, Taeho (Robot and Intelligent Systems Lab. School of Computer and Communication Engineering Daegu University) ;
- Yongtae Do (Robot and Intelligent Systems Lab. School of Computer and Communication Engineering Daegu University)
- Published : 2003.09.01
Abstract
This paper describes a neural network based machine vision system designed for inspecting yellow beans in real time. The system consists of a camera. lights, a belt conveyor, air ejectors, and a computer. Beans are conveyed in four lines on a belt and their images are taken by a monochrome line scan camera when they fall down from the belt. Beans are separated easily from their background on images by back-lighting. After analyzing the image, a decision is made by a multilayer artificial neural network (ANN) trained by the error back-propagation (EBP) algorithm. We use the global mean, variance and local change of gray levels of a bean for the input nodes of the network. In an our experiment, the system designed could process about 520kg/hour.
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