DEVELOPMENT OF AN INTELLIGENT RECOGNITION AND SORTING SYSTEM

Authors

  • Zhi Li Optimisation Studies Unit, Department of Electronic Engineering, Durban University of Technology
  • P. Govender Optimisation Studies Unit, Department of Electronic Engineering, Durban University of Technology

DOI:

https://doi.org/10.7166/23-1-233

Keywords:

he design of an intelligent recognition and sorting system, principal component analysis (PCA), artificial neural network (ANN), Bluetooth communication

Abstract

ENGLISH ABSTRACT: This paper presents the design of an intelligent recognition and sorting system. Intelligence is included in the system by using a multilayer feed-forward artificial neural network (ANN) for image recognition. Full duplex Bluetooth communication is used between the intelligent system and a robot-control computer. Image compression and principal component analysis (PCA) reduce the dimensionality of the data, and only the salient feature vectors of an image are used for image recognition. A control signal guides a robot arm to place an object into an allocated space. The system is relatively immune to noise, and can generalise when faced with missing data.

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Published

2011-11-05

How to Cite

Li, Z., & Govender, P. (2011). DEVELOPMENT OF AN INTELLIGENT RECOGNITION AND SORTING SYSTEM. The South African Journal of Industrial Engineering, 23(1). https://doi.org/10.7166/23-1-233

Issue

Vol. 23 No. 1 (2012)

Section

Case Studies

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