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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: |
Computer Science Energy Engineering Nuclear Sciences Technology |
| Keywords: |
3D computer vision Data fusion nuclear security Radiation detection |
| Duration: | 1 hour or less |
| Fee: | Less than $500 |
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