This project aims at building a JAVA API and implementation of a SensorML based Processing Engine. The engine itself is decoupled from SensorML but the project also provides serializers and deserializers to instantiate a Process Chain from a SensorML file or save a process chain in SensorML format.

The processing engine implementation is particularly oriented toward real time stream processing and distributed pipelined processing. The development of executable process model profiles is supported by the development project at SensorML Profile Development.

The project was initiated by the VAST Team at the University of Alabama in Huntsville (UAH) and is now also maintained by Sensia Software and Botts Innovative Research, Inc..

This project relies on the SWE Common Data Model Framework, also on Google Code.