Inlämning av Examensarbete / Submission of Thesis

Damian Dziak; Bartosz Jachimczyk; Tomasz Jagusiak , pp. 51. ING/School of Engineering, 2012.

The work

Författare / Author: Damian Dziak, Bartosz Jachimczyk, Tomasz Jagusiak,,
Titel / Title: Automatic Waterjet Positioning Vision System
Abstrakt Abstract:

The goals of this work are a design and implementation of a new vision system, integrated with the waterjet machine. This system combines two commercial webcams applied on an industrial dedicated platform. A main purpose of the vision system is to detect the position and rotation of a workpiece placed on the machine table. The used object recognition algorithm consists of edge detection, standard math processing functions and noise filters. The Hough transform technique is used to extract lines and their intersections of a workpiece. Metric rectification method is used, in order to obtain a top view of the workspace and to adjust an image coordinate system, accordingly to the waterjet machine coordinates. In situ calibration procedures of the booth webcams are developed and implemented. Experimental results of the proposed new vision system prototype confirm required performance and precision of the element detection.

Ämnesord / Subject: Signalbehandling - Signal Processing
Datavetenskap - Computer Science\Software Engineering
Nyckelord / Keywords: Edge Detection, Hough Transformation, Object Detection, Vision System, Waterjet Machine, Web Camera

Publication info

Dokument id / Document id: houn-8xdd79
Program:/ Programme Magisterprogram i Elektroteknik / Master of Science in Electrical Engineering
Registreringsdatum / Date of registration: 08/21/2012
Uppsatstyp / Type of thesis: Masterarbete/Master's Thesis (120 credits)


Handledare / Supervisor: Prof. Wlodek J. Kulesza, Dr Anders Jönsson
Examinator / Examiner: Sven Johansson
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: ING/School of Engineering

+46 455 38 50 00
I samarbete med / In co-operation with: Swedish Waterjet Lab

Files & Access

Bifogad uppsats fil(er) / Files attached: bth2012dziak.pdf (7596 kB, öppnas i nytt fönster)