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Automated system tests with image recognition: focused on text detection and recognition
Linköping University, Department of Computer and Information Science.
Linköping University, Department of Computer and Information Science.
2019 (English)Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesisAlternative title
Automatiserat systemtest med bildigenkänning : fokuserat på text detektering och igenkänning (Swedish)
Abstract [en]

Today’s airplanes and modern cars are equipped with displays to communicate important information to the pilot or driver. These displays needs to be tested for safety reasons; displays that fail can be a huge safety risk and lead to catastrophic events. Today displays are tested by checking the output signals or with the help of a person who validates the physical display manually. However this technique is very inefficient and can lead to important errors being unnoticed. MindRoad AB is searching for a solution where validation of the display is made from a camera pointed at it, text and numbers will then be recognized using a computer vision algorithm and validated in a time efficient and accurate way. This thesis compares the three different text detection algorithms, EAST, SWT and Tesseract to determine the most suitable for continued work. The chosen algorithm is then optimized and the possibility to develop a program which meets MindRoad ABs expectations is investigated. As a result several algorithms were combined to a fully working program to detect and recognize text in industrial displays.

Place, publisher, year, edition, pages
2019. , p. 31
Keywords [en]
Opencv, Tesseract, text detection, text recognition, validation, displays
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:liu:diva-160249ISRN: LIU-IDA/LITH-EX-G--19/025--SEOAI: oai:DiVA.org:liu-160249DiVA, id: diva2:1351211
External cooperation
Mindroad AB
Subject / course
Computer Engineering
Presentation
2019-09-17, Alan Turing, Linköping, 15:15 (Swedish)
Supervisors
Examiners
Available from: 2019-10-03 Created: 2019-09-13 Last updated: 2019-10-03Bibliographically approved

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AutomatedSystemTestsWithImageRecognition(5419 kB)4 downloads
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4748495051525350 of 164
CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf