Change search
ReferencesLink to record
Permanent link

Direct link
Vision Sensor: Distance and Angle
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (EKS)
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The objective of the thesis is to design a real time machine vision system using a smart camera to determine the distance and viewing angle from a target board.  A machine vision algorithm is designed and, by calibrating that system to a target board, it is possible to measure the distance and viewing angle.  The smart camera is a Matrox IrisGT running Windows XP Embedded.  Image pre-processing, labelling, feature extraction and a triangulation technique are used in the algorithm in relation to the measurement.  By using the Visual C++ library and Matrox imaging library this application is developed and deployed in the smart camera.  At a later stage, a serial communication is established between the smart camera and a PC and the results of the distance and angle are shown using a distance scale and angular meter in LabVIEW.  The application is analysed at different resolutions to check the frame rate and power consumption of the smart camera for the application, also the accuracy of position measurement and latency of the system is measured.

Place, publisher, year, edition, pages
2013. , 57 p.
Keyword [en]
machine vision, vision sensor, smart camera, matrox IrisGT, triangulation
National Category
Engineering and Technology
URN: urn:nbn:se:miun:diva-18558OAI: diva2:608920
Subject / course
Electronics EL1
Educational program
Internationellt masterprogram i elektronikkonstruktion TELAA 120 hp
2013-02-01, S113, Mid Sweden University, Sundsvall, 16:58 (English)
Available from: 2013-03-07 Created: 2013-03-01 Last updated: 2013-03-07Bibliographically approved

Open Access in DiVA

fulltext(3967 kB)585 downloads
File information
File name FULLTEXT01.pdfFile size 3967 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Palaniappan, PrasannaKumar
By organisation
Department of Information Technology and Media
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 585 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 435 hits
ReferencesLink to record
Permanent link

Direct link