Tag reading using targeted spatial spectral detection

Abstract

A system for determining a spectrum includes an interface and a processor. The interface is configured to receive a sample set of intensity data for an array of spatial locations and a set of spectral configurations. The processor is configured to determine a region of interest using the sample set of intensity data and determine a spectral peak for the region of interest.

What is claimed is: 
     
         1 . A system for determining a spectrum, comprising:
 an interface configured to receive a sample set of intensity data for an array of spatial locations, wherein the sample set of intensity data for the array of spatial locations comprises an imaging measurement at each location in the array of spatial locations, wherein each location in the array of spatial locations corresponds to a sample location, wherein the sample comprises an optical tag, and wherein the optical tag reflects light with a recognizable spectrum;   a processor configured to:
 determine a first region of interest using the sample set of intensity data, comprising:
 determining a set of locations of the array of spatial locations corresponding to a maxima; 
 ranking the set of locations based on a likelihood that a location corresponds to the optical tag; and 
 determining the first region of interest to include a fixed range around the location of the set of locations, wherein the location is ranked most likely to correspond to the optical tag, wherein the fixed range is based at least in part on the predetermined size of the optical tag; 
 
 determine first color data for the first region of interest from the sample set of intensity data; and 
 in response to the first color data for the first region of interest being not identified as the recognizable spectrum, determine a second region of interest using the sample set of intensity data and determine second color data for the second region of interest. 
   
     
     
         2 . The system of  claim 1 , wherein the first color data and the second color data comprises three color data. 
     
     
         3 . The system of  claim 1 , wherein the array of spatial locations comprises a two dimensional array of spatial locations. 
     
     
         4 . The system of  claim 1 , wherein the set of locations of the array of spatial locations is determined using a filter. 
     
     
         5 . The system of  claim 1 , wherein the set of locations of the array of spatial locations is determined using a threshold. 
     
     
         6 . The system of  claim 1 , wherein the set of locations of the array of spatial locations is determined using a calculation of a standard deviation. 
     
     
         7 . The system of  claim 1 , wherein the first region of interest comprises one of a plurality of regions of interest. 
     
     
         8 . The system of  claim 1 , wherein the interface is further configured to receive a calibration data. 
     
     
         9 . The system of  claim 8 , wherein the calibration data comprises a calibration set of intensity data for a calibration array of spatial locations and a calibration set of spectral configurations for a monochromatic source. 
     
     
         10 . The system of  claim 1 , wherein determining the first color data for the first region of is interest comprises providing an indication to capture further intensity data for the first region of interest. 
     
     
         11 . The system of  claim 1 , wherein determining the first color data for the first region of interest comprises:
 transforming the intensity data into a parameter space; and   determining a difference between the intensity data in the parameter space and a calibration data in the parameter space.   
     
     
         12 . The system of  claim 1 , wherein the first region of interest comprises one of a set of regions of interest. 
     
     
         13 . The system of  claim 1 , wherein the processor is further configured to decode a signature. 
     
     
         14 . The system of  claim 13 , wherein the signature comprises a tag signature. 
     
     
         15 . A method for determining a spectrum, comprising:
 receiving a sample set of intensity data for an array of spatial locations, wherein the sample set of intensity data for the array of spatial locations comprises an imaging measurement at each location in the array of spatial locations, wherein each location in the array of spatial locations corresponds to a sample location, wherein the sample comprises an optical tag, and wherein the optical tag reflects light with a recognizable spectrum;   determining, using a processor, a first region of interest using the sample set of intensity data, comprising:
 determining a set of locations of the array of spatial locations corresponding to a maxima; 
 ranking the set of locations based on a likelihood that a location corresponds to the optical tag; and 
 determining the first region of interest to include a fixed range around the location of the set of locations, wherein the location is ranked most likely to correspond to the optical tag, wherein the fixed range is based at least in part on the predetermined size of the optical tag; 
   determine first color data for the first region of interest from the sample set of intensity data; and   in response to the first color data for the first region of interest being not identified as the recognizable spectrum, determine a second region of interest using the sample set of intensity data and determine second color data for the second region of interest.   
     
     
         16 . A computer program product for determining a spectrum, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
 receiving a sample set of intensity data for an array of spatial locations, wherein the sample set of intensity data for the array of spatial locations comprises an imaging measurement at each location in the array of spatial locations, wherein each location in the array of spatial locations corresponds to a sample location, wherein the sample comprises an optical tag, and wherein the optical tag reflects light with a recognizable spectrum;   determining, using a processor, a first region of interest using the sample set of intensity data, comprising:
 determining a set of locations of the array of spatial locations corresponding to a maxima; 
 ranking the set of locations based on a likelihood that a location corresponds to the optical tag; and 
 determining the first region of interest to include a fixed range around the location of the set of locations, wherein the location is ranked most likely to correspond to the optical tag, wherein the fixed range is based at least in part on the predetermined size of the optical tag; 
   determine first color data for the first region of interest from the sample set of intensity data; and   in response to the first color data for the first region of interest being not identified as the recognizable spectrum, determine a second region of interest using the sample set of intensity data and determine second color data for the second region of interest.