White Papers
10 Deep Learning using iAbra stack on Dell EMC PowerEdge Servers with Intel technology
iAbra Neuron implementation
2.3 Application areas for PathWorks
PathWorks provides the ability to structure unstructured high dimensional data in a low SWaP (size, weight and
power) footprint for custom problem domains. Generically this makes it ideal for solutions with the following
demands:
● Recognition problem domains which don’t fit ImageNet mold
● Machine augmented annotation of data known as auto labeling
● Large volumes of archive or streaming imaging data
● Sensor fusion applications with multiple channels of imaging
● Edge IOT image analysis
● Low SWaP for dense data centers or edge systems
● Domain experts who wish to create their own classifiers or many classifiers need to be created during
operational lifecycle
2.3.1 Market segments for PathWorks
● Defense / Intelligence analytics data center or edge
● Wide area Geographic Information System (GIS) analytics for optical and radar data
● Smart agriculture
● Autonomous driving and advanced driver awareness ADAS++