Embedded AI algorithms – Going from Big Data to Smart Data

A robust and reliable wireless mesh network of smart sensors for condition-based monitoring can be created using multi-sensor data fusion and embedded AI. With it, big data is locally turned into smart data.

The increasing number of sensors and, in general, available data sources require the virtual view of machines, systems, and processes to be ever more detailed. This naturally increases the potential for generating added value along the entire value chain. At the same time, however, the question as to how exactly this potential can be extracted keeps arising—after all, the systems and architectures for data processing are becoming more and more complex, and the number of sensors and actuators is constantly increasing. Only with relevant, high quality, and useful data—smart data—can the associated economic potential be unfolded.

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Collecting all possible data and storing them in the cloud in the hopes that they will later be evaluated, analyzed, and structured is still a widespread, but not particularly effective approach.

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