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Andreas Enqvist

University of Florida


Vision-Aided Data-fusion for Enhanced Radiological (VADER) Threat Detection - education
Audience: High School
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: Engineering
Nuclear Sciences
Keywords: 3D computer vision
Data fusion
Nuclear security
Radiation detection
Duration: 1 hour or less
Fee: Expenses Only

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