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Recent advances in artificial intelligence in general, and deep learning in particular, enable innovations that have a massive impact on society and industries. Autonomous driving, facial recognition, drug discovery, and speech recognition are examples of fundamental innovations facilitated by deep learning. However, the usage and impact of deep learning for cleaner production and sustainability purposes remain little explored. This work shows how deep learning can be harnessed to increase sustainability in production and product usage. Specifically, we utilize deep learning-based computer vision to determine the wear states of products. The resulting insights serve as a basis for novel product-service systems with improved integration and result orientation. Moreover, these insights are expected to facilitate product usage improvements and R&D innovations. We demonstrate our approach on two products …