Title

Flame cutting speed controller using computer vision and neural network

Date of Publication

2002

Document Type

Master's Thesis

Degree Name

Master of Science in Manufacturing Engineering

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Abstract/Summary

The study investigates the industrial applicability and performance of a flame cutting speed controller using neural network and computer vision. Backpropagation training algorithm is used to train the neural network. The networks learned from a set of training data derived from images of steel plates and were tested using computer simulation. Results showed that the controller is able to classify the required cutting speed with accurate results.

Abstract Format

html

Language

English

Format

Print

Accession Number

TG03763

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

160 leaves ; 28 cm.

Keywords

Computer vision; Neural networks (Computer science); Machinery; Cutting machines

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