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
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
Recommended Citation
Segovia, H. U. (2002). Flame cutting speed controller using computer vision and neural network. Retrieved from https://animorepository.dlsu.edu.ph/etd_masteral/3213
