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A bionic approach to artificial perception and representation in factory automation

Expectations for the near future of factory automation indicate that the amount of sensors can be greatly improved within affordable costs. The complexity that is today still manageable with traditional concepts will call for new models to maintain control over complex systems and gain maximum information from redundant sensory input. This paper proposes an artificial recognition system that is oriented towards bionic model for data processing, creating a consistent process state and deriving appropriate actions