Rugged processor boards as inference engines

September 20, 2019 //By Julien Happich
 inference engines
Concurrent Technologies announced it has tested some of its recent rugged processor boards like TR H4x/3sd-RCx for use as inference engines to provide inference at the edge capabilities in the type of uncontrolled and challenging environmental conditions typically found in intelligence gathering equipment within the defence, transportation and exploration markets.

This process was done using trained neural networks from a variety of models such as TensorFlow, MXNet and Caffe to analyze data accurately, quickly and efficiently. The processor boards are tested compliant with the Intel OpenVINO toolkit. This includes a model optimizer tool to facilitate the transition between the training and deployment environment, performs static model analysis, and adjusts the models for optimal execution on the Concurrent Technologies boards.

Concurrent Technologies -

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