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Unsupervised Movement Detection in Indoor Positioning Systems of Production Halls

arXiv.org Artificial Intelligence

Consider indoor positioning systems (IPS) in production There exist various survey papers of different technological halls where objects equipped with sensors send their current approaches and potentials [6, 7, 8]. Beside its large volume, the analyzation of focus on the particular application of IPS in production the resulting raw data is challenging due to the susceptibility halls of manufacturing companies where satellites are attached towards noise. Reasons are accuracy issues and at various points of the hall and communicate with undesired awakenings of sensors that occur due to the mobile receivers equipped with sensors which can locate dynamics of logistic processes (e.g. We propose a tailor-made statistical procedure components can be individually tracked. Beside obvious for these challenges and combine visual analytics with benefits like reduced search efforts, these systems have movement detection. Contrary to common stay-point algorithms, secondary advantages on assistance systems, fault management we do not only distinguish between stops and or production control [9, 10]. This leads to a more detailed interpretation scheme offering 1.1 Data and Problem Specification usages for online (e.g.