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Command/Control and Intelligence/Surveillance/Reconnaissance systems manage the ingestion, processing, fusion, and analysis of large amounts of streaming audio, video, and still image data from a variety of sources to provide strategic and tactical decision-making information. Existing media analysis frameworks are engineered as turn-key systems and tend to be vertically integrated “stovepipes” featuring tightly-connected sensor, analysis, and display components. These processors are not easily integrated, making bringing data together from multiple sources difficult and increasing the cognitive load on imagery analysts. This problem is not unique to defense applications. Corporations are grappling with the dilemma of integrating data from traditional and new content channels, and making decisions based on this proliferation of data.

Oceanit's StreamLenz system provides a general purpose platform for creating applications to ingest, process, and display streaming data that is independent of the data source. StreamLenz breaks complicated problems down into discrete modules, which the developer can connect to form processing chains.

  • Supports a wide range of sensors, data formats/codecs, processing algorithms and display environments
  • Promotes code reuse by allowing developers to reuse modules originally developed for other projects
  • Graphical development environment to allow individuals without extensive software experience to participate in development
  • Multi-threaded to enable the spreading of tasks over multiple processors
  • Hardware agnostic to improve the longevity and scalability of the system as new hardware options are available
  • Minimizes information loss from multiple decode/encode cycles by using a single raster image data type internally