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Master Team Project - Robot Driven Library Maintenance

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Automatisierte Medienanalyse

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Erkannte Entitäten
Sprachtranskript
Erdölgewinnung
Vorlesung/Konferenz
Computeranimation
Erdölgewinnung
Verbrennungskraftmaschine
Computeranimation
Satzspiegel
Feile
Motor
Computeranimation
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Computeranimation
Hobel
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Kaliber <Walzwerk>
Gedeckter Güterwagen
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Computeranimation
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Metadaten

Formale Metadaten

Titel Master Team Project - Robot Driven Library Maintenance
Autor Al Assad, Marouane
Alkhaddour, Rima
Baumert, Erik
Çeşitli, Merve
Gül, Rusen
Lemmens, Maximilian
Zhang, Jie
Zou, Wanlu
Mitwirkende Chair of Software Engineering, University of Mannheim
Lizenz CC-Namensnennung 3.0 Deutschland:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
DOI 10.5446/21360
Herausgeber Mannheim University Library
Erscheinungsjahr 2016
Sprache Stummfilm

Technische Metadaten

Dauer 03:13

Inhaltliche Metadaten

Fachgebiet Technik
Abstract Many librarian tasks require physical presence in the library and are time-consuming and tedious. The SWT Master Team Project "Robot Driven Library Maintenance" was initiated to automate some of these obligations, in order to make more time for more important, value-adding activities. This report demonstrates in detail the four project phases pursued with the goal develop a fully integrated system for the Mannheim University Library which is able to autonomously support the librarians in inventorying books, searching for books, and checking their status. The system comprises a Turtlebot robot which autonomously goes around the desired book shelves, takes pictures of one shelf-level and transfers them to a server. There, using OpenCV and Tesseract, the stickers on the individual books are recognised and the sticker texts extracted. A report engine matches the recognised books with the target condition of the library and saves its report to a database. The reports are made available through a web frontend both via download and as a HTML5 page. Despite the fact that no fully functional system could be built, an impressive proof of concept under realistic conditions could be achieved, and can be further improved to a full-scale system.
Schlagwörter Bibliothek
Inventur
Bildverarbeitung
Automatische Texterkennung (OCR)
Navigation im Raum
Autonomer Roboter
Software-Entwicklung

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