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CollectByCycle: Towards an Automatized Condition Assessment for Bicycles

Authors:
Tobias Geger
Dominique Briechle
Marit Briechle-Mathiszig
Nelly Nyeck
Robert Werner

Keywords: Repairing, Data set, Labeling, Product breakdown Structure, Circular Economy

Abstract:
The detection of defective parts of complex products is a great challenge for the untrained eye and impedes the assessment of different conditions. Therefore, the necessity for smart solutions that bridge the gap between user awareness of a product state and the restoration service of an operator is at an all-time high. The goal of this paper is to outline the preliminary results regarding the generation of a data set in order to improve bicycle repair and reduce the verification time of the component condition assessment. To enable such a service, a total of 115 bicycles were collected and classified.

Pages: 13 to 16

Copyright: Copyright (c) IARIA, 2024

Publication date: April 14, 2024

Published in: conference

ISSN: 2308-4146

ISBN: 978-1-68558-153-4

Location: Venice, Italy

Dates: from April 14, 2024 to April 18, 2024