System and method for authenticating and classifying products using hyper-spectral imaging

1. A method for authenticating and classifying a set of materials, the method comprising:

determining a set of characteristics of light spectra reflected or transmitted by a set of materials when the set of materials is illuminated by a plurality of light wavelengths;

constructing one or more classifiers configured to classify each material of the set of materials based on the set of characteristics of the light spectra;

using the classifiers to classify, mapping each of the light spectra onto an area of an image sensor;

wherein one or more optical elements filter and focus the light spectra onto one or more elements of a detector array;

wherein each optical element, of the one or more optical elements, focuses onto an area of the detector array;

wherein the mapping is a 1:1 mapping;

wherein each optical element, of the one or more optical elements, uses a Bragg reflection condition to filter the light spectra and to focus the light spectra onto an element of the detector array;

wherein an amplitude of each element of the detector array is read and transmitted to a classifier software application;

wherein the classifier software application determines a class of a material that is illuminated.

2. The method of claim 1 , further comprising:

based on the mapping of each of the light spectra onto the area of the image sensor, generating a holographic optical element that has a plurality of regions, that receives input light reflected or transmitted through a new material, and that filters the input light to a filtered light by each characteristic light spectra, and mapping the filtered light onto the area of the image sensor;

wherein the holographic optical element is recorded and used to determine whether the new material matches any material in the set of materials;

using the holographic optical element to determine whether the new material matches any material in a set of similar materials that are similar to the set of materials.

3. The method of claim 2 , further comprising generating a copy of the holographic optical element by copying the holographic optical element onto the copy of the holographic optical element.

4. The method of claim 3 , further comprising authenticating a new material based on the determining, using the copy of the holographic optical element, whether a match is found between the new material and the set of materials or the set of similar materials.

5. The method of claim 2 , wherein the holographic optical element is generated using a holography approach and a Bragg approach.

6. The method of claim 2 , wherein an input light transmitted through the new material penetrates the new material that is in a liquid form and that is contained within a space between two sheets of glass;

wherein the input light reflected from the new material is reflected off dots included in the holographic optical element; each dot configured to filter a specific wavelength of light;

wherein the input light is recorded by a camera through a lens system of the camera and then recorded onto a charge coupled element of the camera.

7. The method of claim 6 , wherein the camera is a CMOS charge coupled camera and which has a range from a ultraviolet (UV) spectra into a near infrared (NI) spectra;

wherein the camera has a light source that illuminates a light being within the range, and then reads reflection characteristics of the holographic optical element.

8. One or more non-transitory computer readable storage media storing one or more instructions which, when executed by one or more processors, cause the one or more processors to perform:

determining a set of characteristics of light spectra reflected or transmitted by a set of materials when the set of materials is illuminated by a plurality of light wavelengths;

constructing one or more classifiers configured to classify each material of the set of materials based on the set of characteristics of the light spectra;

using the classifiers to classify, mapping each of the light spectra onto an area of an image sensor;

wherein one or more optical elements filter and focus the light spectra onto one or more elements of a detector array;

wherein each optical element, of the one or more optical elements, focuses onto an area of the detector array;

wherein the mapping is a 1:1 mapping;

wherein each optical element, of the one or more optical elements, uses a Bragg reflection condition to filter the light spectra and to focus the light spectra onto an element of the detector array;

wherein an amplitude of each element of the detector array is read and transmitted to a classifier software application;

wherein the classifier software application determines a class of a material that is illuminated.

9. The one or more non-transitory computer readable storage media of claim 8 , storing additional instructions for: based on the mapping of each of the light spectra onto the area of the image sensor, generating a holographic optical element that has a plurality of regions, that receives input light reflected or transmitted through a new material, and that filters the input light to a filtered light by each characteristic light spectra, and mapping the filtered light onto the area of the image sensor;

wherein the holographic optical element is recorded and used to determine whether the new material matches any material in the set of materials;

using the holographic optical element to determine whether the new material matches any material in a set of similar materials that are similar to the set of materials.

10. The one or more non-transitory computer readable storage media of claim 9 , storing additional instructions for: a copy of the holographic optical element by copying the holographic optical element onto the copy of the holographic optical element.

11. The one or more non-transitory computer readable storage media of claim 10 , storing additional instructions for: authenticating a new material based on the determining, using the copy of the holographic optical element, whether a match is found between the new material and the set of materials or the set of similar materials.

12. The one or more non-transitory computer readable storage media of claim 9 , wherein the holographic optical element is generated using a holography approach and a Bragg approach.

13. The one or more non-transitory computer readable storage media of claim 9 , wherein an input light transmitted through the new material penetrates the new material that is in a liquid form and that is contained within a space between two sheets of glass;

wherein the input light reflected from the new material is reflected off dots included in the holographic optical element; each dot configured to filter a specific wavelength of light.

14. The one or more non-transitory computer readable storage media of claim 9 , wherein the input light is recorded by a camera through a lens system of the camera and then recorded onto a charge coupled element of the camera;

wherein the camera is a CMOS charge coupled camera and which has a range from a ultraviolet (UV) spectra into a near infrared (NI) spectra;

wherein the camera has a light source that illuminates a light being within the range, and then reads reflection characteristics of the holographic optical element.

15. A method for authenticating and classifying a set of materials, the method comprising:

determining a set of characteristics of light spectra reflected or transmitted by a set of materials when the set of materials is illuminated by a plurality of light wavelengths;

constructing one or more classifiers configured to classify each material of the set of materials based on the set of characteristics of the light spectra;

using the classifiers to classify, mapping each of the light spectra onto an area of an image sensor;

based on the mapping of each of the light spectra onto the area of the image sensor, generating a holographic optical element that has a plurality of regions, that receives input light scattered from a new material, and that filters the input light to a filtered light by each characteristic light spectra, and mapping the filtered light onto the area of the image sensor;

wherein the holographic optical element is recorded and used to determine whether the new material matches any material in the set of materials.

16. The method of claim 15 , wherein the image sensor is a gallium arsenide detector.

17. The method of claim 16 , further comprising: using the holographic optical element to determine whether the new material matches any material in a set of similar materials that are similar to the set of materials; generating a copy of the holographic optical element by copying the holographic optical element onto the copy of the holographic optical element.

18. The method of claim 17 , further comprising authenticating the new material based on the determining, using the copy of the holographic optical element, whether a match is found between the new material and the set of materials or the set of similar materials.

19. The method of claim 15 , wherein the holographic optical element is generated using a holography approach and a Bragg approach.

20. The method of claim 15 , wherein the input light transmitted through the new material penetrates the new material that is in a liquid form and that is contained within a space between two sheets of glass;

wherein the input light reflected from the new material is reflected off dots included in the holographic optical element; each dot configured to filter a specific wavelength of light;

wherein the input light is recorded by a camera through a lens system of the camera and then recorded onto a charge coupled element of the camera;

wherein the camera is a CMOS charge coupled camera and which has a range from a ultraviolet (UV) spectra into a near infrared (NI) spectra;

wherein the camera has a light source that illuminates a light being within the range, and then reads reflection characteristics of the holographic optical element.