DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Hensel, Marc | - |
dc.contributor.author | Lotz, Andre | - |
dc.date.accessioned | 2024-12-06T10:21:06Z | - |
dc.date.available | 2024-12-06T10:21:06Z | - |
dc.date.created | 2024-03-07 | - |
dc.date.issued | 2024-12-06 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.12738/16665 | - |
dc.description.abstract | Diese Arbeit beschreibt die Entwicklung einer Android-App zur Klassifizierung elektrischer Widerstände mittels Smartphone unter Verwendung von Bildverarbeitung und Künstlichen Intelligenz-Modellen. Im Kern der Entwicklung stehen die Funktionen der OpenCV-Bibliothek. | de |
dc.description.abstract | This thesis describes the development of an Android app for the classification of electrical resistors using a smartphone, incorporating image processing and artificial intelligence models. At the core of the development are the features of the OpenCV library. | en |
dc.language.iso | de | en_US |
dc.subject | Bildverarbeitung | en_US |
dc.subject | Android | en_US |
dc.subject | App-Entwicklung | en_US |
dc.subject | Farbringerkennung | en_US |
dc.subject | OpenCV | en_US |
dc.subject.ddc | 004: Informatik | en_US |
dc.title | Android-App zur Klassifizierung elektrischer Widerstände unter Verwendung von OpenCV und KI-Modellen | de |
dc.type | Thesis | en_US |
openaire.rights | info:eu-repo/semantics/openAccess | en_US |
thesis.grantor.department | Fakultät Technik und Informatik | en_US |
thesis.grantor.department | Department Informations- und Elektrotechnik | en_US |
thesis.grantor.universityOrInstitution | Hochschule für Angewandte Wissenschaften Hamburg | en_US |
tuhh.contributor.referee | Herster, Ulrike | - |
tuhh.identifier.urn | urn:nbn:de:gbv:18302-reposit-199753 | - |
tuhh.oai.show | true | en_US |
tuhh.publication.institute | Fakultät Technik und Informatik | en_US |
tuhh.publication.institute | Department Informations- und Elektrotechnik | en_US |
tuhh.type.opus | Bachelor Thesis | - |
dc.type.casrai | Supervised Student Publication | - |
dc.type.dini | bachelorThesis | - |
dc.type.driver | bachelorThesis | - |
dc.type.status | info:eu-repo/semantics/publishedVersion | en_US |
dc.type.thesis | bachelorThesis | en_US |
dcterms.DCMIType | Text | - |
tuhh.dnb.status | domain | en_US |
item.creatorGND | Lotz, Andre | - |
item.fulltext | With Fulltext | - |
item.creatorOrcid | Lotz, Andre | - |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.advisorGND | Hensel, Marc | - |
item.languageiso639-1 | de | - |
item.openairecristype | http://purl.org/coar/resource_type/c_46ec | - |
item.openairetype | Thesis | - |
Appears in Collections: | Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
BA_Android-App_Klassifizierung_elektrischer_Widerstände.pdf | 46.3 MB | Adobe PDF | View/Open |
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