Advanced pattern recognition systems for spectral analysis

Abstract

A process of rapid and highly accurate analysis of spectral data, includes both a linear scanning (LINSCAN) method and an advanced peak detection method for pattern recognition. One or both of the methods are used to support the detection and identification of chemical, biological, radiation, nuclear and explosive materials. The spectra of various targets can be analyzed by the two spectral analysis methods. These two methods can be combined for dual confirmation, greater accuracy, and to reduced false positives and false negatives, relative to what can be accomplished by either alone.

Description

technical field [0001] The present invention generally relates to systems and methods for detecting and identifying dangerous target substances including chemical substances, biological substances, radioactive substances, nuclear substances and explosives, and more particularly relates to a method for analyzing chemical substances, biological substances, Systems and methods for detecting and identifying target materials by complex spectra of radioactive, nuclear, and explosive materials, or by using spectra for any other type of target search (eg, by signal-energy, signal-wavelength, etc.). Background technique [0002] Existing methods for analyzing complex spectra of chemical, biological, radioactive, nuclear, and explosive substances or for any other type of target search using spectroscopy (e.g., by signal-energy, signal-wavelength, etc.) Detect, identify and / or quantify trace substances required in a variety of applications such as national security and biological testi...

AI Technical Summary

Problems solved by technology

[0002] Existing methods for analyzing complex spectra of chemical, biological, radioactive, nuclear, and explosive substances or for any other type of target search using spectroscopy (e.g., by signal-energy, signal-wavelength, etc.) Detect, identify and / or quantify trace substances required in a variety of applications such as national security and biological testing

Although a variety of pattern recognition systems can recognize given sufficient and improved data in a laboratory environment, it is still difficult to recognize in a complex environment with multiple spectral interferences

For example, the current challenge is to detect, identify and verify the presence of radioactive material in the cargo, and to be able to distinguish the presence of normally occurring radioactive material (NORM) (including cargo on the cargo manifest and dangerous or illegal radioactive cargo)

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