Under pressure: learning-based analog gauge reading in the wild

arXiv:2404.08785v1 Announce Type: cross
Abstract: We propose an interpretable framework for reading analog gauges that is deployable on real world robotic systems. Our framework splits the reading task into distinct steps, such that we can detect potential failures at each step. Our system needs no prior knowledge of the type of gauge or the range of the scale and is able to extract the units used. We show that our gauge reading algorithm is able to extract readings with a …

abstract analog arxiv cs.cv cs.lg cs.ro framework knowledge prior reading robotic systems type world