Computer-Aided Feature Extraction (CAFE)
Texas Engineering Experiment Station, Texas, United States
CAFE is a computer program that recognizes a collection of features and builds the corresponding system in silico. Currently it works on identifying and analyzing filamentous features, which will be useful for studying fibrous materials, tissues, cellular cytoskeleton, or network of neurons. Extension is possible to recognize other shapes.
Primary Application Area: IT, Cyber-Security, Software
Technology Development Status: Prototype
Technology Readiness Level: TRL 6
FIGURES OF MERIT
Value Proposition: Existing feature recognition programs work on relatively isolated and simple cases. CAFE is itself a programmable, scripting language that mimics how humans perceive features, thus can recognize much more complex features, and modules can be added for greater functionality.
Organization Type: Academic/Gov Lab
Showcase Booth #: 623
GOVT/EXTERNAL FUNDING SOURCES
Government Funding/Support to Date:
Primary Sources of Funding: University
Looking for: Both Funding and Development Partners