Data representation and organization for an industrial multisensor integration architecture

An open architecture for intelligent multisensor integration in an industrial environment is being developed. A logical sensor model is used to represent both real and abstract sensors within the architecture, allowing for the ready addition or replacement of sensors. Processing algorithms are also encapsulated by logical sensors. Objects are modelled using a connected graph structure wherein each node represents a salient feature of the object. Interactive training is used to determine the logical sensors required to extract desired features from objects. Extracted features are identified by the user and become part of the model. Once trained, the system can use object models for identification and classification purposes.