System and method for eye safe detection of unknown targets
First Claim
1. A method comprising:
- targeting at least one region of interest in a sample scene comprising at least one unknown target bygenerating at least one SWIR data set representative of the sample scene, andanalyzing the at least one SWIR data set to identify the region of interest;
surveying the region of interest to determine one or more of human presence in the region of interest and no human presence in the region of interest, wherein if no human presence is detected, the method further comprises identifying the unknown target byilluminating the region of interest to generate a plurality of interacted photons;
assessing the plurality of interacted photons to generate at least one Raman data set of the interacted photons; and
analyzing the at least one Raman data set to identify the unknown target.
2 Assignments
0 Petitions
Accused Products
Abstract
The present disclosure provides for a system and method for detecting and identifying unknown targets. At least one region of interest comprising an unknown target in a sample scene may be targeted using SWIR spectroscopic techniques. A region of interest may be surveyed to thereby determine whether or not a human is present. This surveying may be achieved my assessing LWIR data, data acquired from motion sensors, and combinations thereof. If no human is present in a region of interest, the region may be interrogated using Raman spectroscopic techniques to thereby obtain a Raman data set representative of the region of interest. This Raman data set may be assessed to thereby identify said unknown target. This assessment may be achieved by comparing the Raman data set to a reference data sets in a reference database, where each reference data set is associated with a known target.
139 Citations
22 Claims
-
1. A method comprising:
-
targeting at least one region of interest in a sample scene comprising at least one unknown target by generating at least one SWIR data set representative of the sample scene, and analyzing the at least one SWIR data set to identify the region of interest; surveying the region of interest to determine one or more of human presence in the region of interest and no human presence in the region of interest, wherein if no human presence is detected, the method further comprises identifying the unknown target by illuminating the region of interest to generate a plurality of interacted photons; assessing the plurality of interacted photons to generate at least one Raman data set of the interacted photons; and analyzing the at least one Raman data set to identify the unknown target. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
-
-
18. A non-transitory storage medium containing machine readable program code, which, when executed by a processor, causes the processor to perform the following:
-
identify a sample scene by causing a first detector to generate at least one SWIR data set representative of the sample scene, and analyze the at least one SWIR data set to identify a region of interest within the sample scene, wherein the region of interest comprises an unknown target; survey the region of interest to determine one or more of human presence in the region of interest and no human presence in the region of interest, wherein if no human presence is detected, identify the unknown target by illuminating the region of interest to generate a plurality of interacted photons; causing a second detector to generate at least one Raman data set of the unknown target; and analyzing the Raman data set to identify the unknown target. - View Dependent Claims (19, 20, 21, 22)
-
Specification