作者
Jannis Walk, Niklas Kühl, Jonathan Schäfer
发表日期
2020
研讨会论文
Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS-53)
简介
Sustainability is the key concept in the management of products that reached their end-of-life. We propose that end-of-life products have -- besides their value as recyclable assets -- additional value for producer and consumer. We argue this is especially true for the machining industry, where we illustrate an automatic characterization of worn cutting tools to foster value co-creation between tool manufacturer and tool user (customer) in the future. In the work at hand, we present a deep-learning-based computer vision system for the automatic classification of worn tools regarding flank wear and chipping. The resulting Matthews Correlation Coefficient of 0.878 and 0.644 confirms the feasibility of our system based on the VGG-16 network and Gradient Boosting. Based on these first results we derive a research agenda which addresses the need for a more holistic tool characterization by semantic segmentation and assesses the perceived business impact and usability by different user groups.
学术搜索中的文章
J Walk, N Kühl, J Schäfer - arXiv preprint arXiv:2008.01053, 2020