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Object detection and single-board computers: En förstudie gjord på Saab AB
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
2018 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

Saab använder sig i nuläget av ett utdaterat system för att utföra tester av deras produkter. Systemet filmar ur olika vinklar och sammanfogar videoströmmarna till en slutgiltig video, där de sedan kan analysera resultatet av produkten. Enkortsdatorer är något som på senare år har blivit mer och mer populärt, Saab vill därför undersöka om det går att ersätta det äldre systemet med enkortsdatorer och kameror.Det ska undersökas om enkortsdatorn BeagleBoard klarar av att köra objektidentifiering samtidigt som den filmar och utför operationer som videosynkning, videokodning samt sparar den synkade filmen.Undersökningen visade att BeagleBoardens processor inte är tillräckligt kraftfull för att klara av objektidentifieringen utan hårdvarustöd. Istället behöver det utföras av en dator som bearbetar filmen i efterhand och plockar ut objekt. Det har förslagits en bättre metod för att göra objektidentifieringen smartare och lärande som kommer fungera bättre i Saabs fall.

Abstract [en]

Saab is currently using an old and complex system to perform tests of their products. The system is based on filming from different angles which will be merged to one film from which Saab can analyze the results of their products. Single-board computers is something that have become increasingly popular in the recent years, therefore, we are to investigate whether it is possible or not to replace the older systems with SBCs and cameras.We will also investigate whether the BeagleBoard is capable of detecting objects while filming, synchronizing, encoding and saving the video for later use.The result showed that the processor isn’t powerful enough to handle object identification without full hardware support. Instead, it needs to be performed afterwards by a computer which will identify objects in the video. A better method has been proposed to make object identification smarter and learning, which will work better in Saab’s case and their future work.

Place, publisher, year, edition, pages
2018. , p. 26
Keywords [en]
BeagleBoard, Single-board computer, OpenCV, Object identification, C++, JavaFX
Keywords [sv]
BeagleBoard, Enkortsdator, OpenCV, Objektidentifiering, C++, JavaFX
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:lnu:diva-75981OAI: oai:DiVA.org:lnu-75981DiVA, id: diva2:1219336
External cooperation
SAAB AB - Support & Services
Subject / course
Computer Science
Educational program
Computer Engineering Programme, 180 credits
Presentation
2018-05-28, D0070, Linnéuniversitetet, SE-351 95, Växjö, 15:35 (Swedish)
Supervisors
Examiners
Available from: 2018-06-18 Created: 2018-06-15 Last updated: 2018-06-18Bibliographically approved

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CiteExportLink to record
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Citation style
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