Analysis of Integrated Video and Radiation Data

Year
1995
Author(s)
J.A. Howell - Los Alamos National Laboratory
J.A. Howell - Los Alamos National Laboratory
C.A. Rodriguez - Los Alamos National Laboratory
C.A. Rodriguez - Los Alamos National Laboratory
H. Menlove - Los Alamos National Laboratory
D.H. Beddingfield - Los Alamos National Laboratory
D.H. Beddingfield - Los Alamos National Laboratory
H.O. Menlove - Los Alamos National Laboratory
A. Vasil - Los Alamos National Laboratory
A. Vasil - Los Alamos National Laboratory
Abstract
We have developed prototype software for a facility-monitoring application that will detect anomalous activity in a nuclear facility. The software, which forms the basis of a simple model, automatically reviews and analyzes integrated safeguards data from continuous unattended monitoring systems. This technology, based on pattern recognition by neural networks, provides significant capability to analyze complex data and has the ability to learn and adapt to changing situations. It is well suited for large automated facilities, reactors, spent-fuel storage facilities, reprocessing plants, and nuclear material storage vaults.