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Andreas Enqvist

University of Florida

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Vision-Aided Data-fusion for Enhanced Radiological (VADER) Threat Detection
Audience: Adults
Description: Goal: Creating nuclear safeguard-enabling detectors, neutron interaction understandings, and ground-breaking novel data approaches. Application: Using data fusion between 3D-computer vision and radiation sensors to detect and track potential threats as imposed by lost or smuggled radiation sources.

Subject Areas: Energy
Engineering
Nuclear Sciences
Technology
Keywords: 3D computer vision
Data fusion
Dirty bombs
Nuclear security
Radiation
Duration: 1 hour or less
Fee: Less than $500

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