Remotely Classifying Materials Based on Complex Permittivity Features
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United States of America Patent
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Feb 27, 2009
filing date -
Feb 27, 2009
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Abstract
Provided are systems and methods for remotely classifying materials based on complex permittivity features. Such a system includes a first electrode, a second electrode, and a computing module. The first electrode is configured to generate an electric field. The second electrode is configured to sense interaction of the electric field with a container and any materials in the container and to provide a signal corresponding thereto. The computing module is configured to (i) convert the signal into one or more electrical parameters, (ii) classify the materials in the container based on the one or more electrical parameters, and (iii) identify at least one of the materials in the container to be contraband based on the classifications. The first and second electrodes may be configured as opposing parallel electrodes, a fringing-field sensor, or a combination thereof.
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