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Automating Poka Yoke detection for partially connected connectors
Rajasekaran, Ayshwarya
University West, Department of Engineering Science.
2026 (English)
Independent thesis Advanced level (degree of Master (Two Years)), 21 HE credits
Student thesis
Place, publisher, year, edition, pages
2026. , p. 36
Keywords [en]
AI vision, YOLO, connector inspection, object detection, partially connected connector, automotive quality
National Category
Robotics and automation
Identifiers
URN:
urn:nbn:se:hv:diva-25449
Local ID: EXA620
OAI: oai:DiVA.org:hv-25449
DiVA, id:
diva2:2071857
Subject / course
Robotics
Educational program
Master in AI and automation
Supervisors
Ottosson, Mattias
University West, Department of Engineering Science, Division of industrial automation.
Examiners
Nilsen, Morgan
University West, Department of Engineering Science, Division of industrial automation.
Available from:
2026-06-15
Created:
2026-06-15
Last updated:
2026-06-22
Bibliographically approved
Open Access in DiVA
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(2660 kB)
12 downloads
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FULLTEXT01.pdf
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2660 kB
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SHA-512
7ff9b30204077cedd2be43788f84b001f1c310b38de243f97f030fa74ccc24121ac7c5619c7a3f2dc8d2aa4539b9a6b97a57055a58172ba917de737bf91db9c1
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fulltext
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Department of Engineering Science
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Robotics and automation
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ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
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en-GB
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nn-NB
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