RF-based detection device for material identification using a smart frequency selection method
A system for material detection and identification including: an RF transmitter configured for transmitting into an environment an RF signal at a first resonance frequency for a target material, wherein the first resonance frequency is obtained from a material database associating each of a plurality of materials with one or more corresponding resonance frequencies; an RF receiver configured for receiving a resultant response signal from the environment; and a processor configured for: analyzing the resultant response signal for resonance characteristics that indicate a presence of the target material, wherein analyzing includes, if the resonance characteristics are detected and no other material in the material database shares similar resonance characteristics for the first resonance frequency, reporting to a user that the target material has been identified.
1. A method for material detection and identification, the method comprising:
transmitting into an environment an RF signal at a first resonance frequency for a target material, wherein the first resonance frequency is obtained from a material database associating each of a plurality of materials with one or more corresponding resonance frequencies;
receiving a resultant response signal from the environment; and
analyzing the resultant response signal for resonance characteristics that indicate a presence of the target material, wherein analyzing includes:
determining that one or more other materials in the material database share similar resonance characteristics for the first resonance frequency; and
displaying a report on graphical display screen identifying:
the target material; and
the one or more other materials in the material database that share the similar resonance characteristics for the first resonance frequency.
2. The method of claim 1 , further comprising:
repeating transmitting, receiving, analyzing using a second resonance frequency for a material associated with the material of interest either to confirm that the target material is present or to distinguish between the target material and the one or more other materials.
3. The method of claim 2 , further comprising, if the resonance characteristics are not detected in the resultant response signal for either the first resonance frequency or the second resonance frequency, using environmental factors to identify the target material.
4. The method of claim 1 , wherein the material database indicates a priority of detecting at least a subset of the plurality of materials for one or more applications, and wherein transmitting includes transmitting into the environment the RF signal at the first resonance frequency for each material in order of the priority for a specific application.
5. The method of claim 4 , wherein the at least the subset of the plurality of materials is selected by the user.
6. The method of claim 1 , further comprising using machine learning to recognize patterns between one or more materials and one or more resonance characteristics for different frequencies.
7. The method of claim 1 , wherein the first resonance frequency is related to a number of protons in atoms composing the target material.
8. The method of claim 1 , wherein the report further includes:
additional scans conducted; and
a rationale for ruling out specific materials based on unique characteristics.
9. The method of claim 1 , wherein analyzing further includes:
generating a list of frequencies and associated resonance characteristics.
10. The method of claim 1 , wherein transmitting includes transmitting at least one resonance frequency multiple times for particular material to improve a confidence level of detection for the at least one resonance frequency.
11. A system for material detection and identification, the system comprising:
an RF transmitter configured for transmitting into an environment an RF signal at a first resonance frequency for a target material, wherein the first resonance frequency is obtained from a material database associating each of a plurality of materials with one or more corresponding resonance frequencies;
an RF receiver configured for receiving a resultant response signal from the environment; and
a processor configured for:
analyzing the resultant response signal for resonance characteristics that indicate a presence of the target material, wherein analyzing includes:
determining that one or more other materials in the material database share similar resonance characteristics for the first resonance frequency; and
displaying a report on graphical display screen identifying:
the target material; and
the one or more other materials in the material database that share the similar resonance characteristics for the first resonance frequency.
12. The system of claim 11 , wherein the processor is further configured for repeating transmitting, receiving, analyzing using a second resonance frequency for a material associated with the material of interest either to confirm that the target material is present or to distinguish between the target material and the one or more other materials.
13. The system of claim 12 , wherein the processor is further configured for, if the resonance characteristics are not detected in the resultant response signal for either the first resonance frequency or the second resonance frequency, using environmental factors to identify the target material.
14. The system of claim 11 , wherein the material database indicates a priority of detecting at least a subset of the plurality of materials for one or more applications, and wherein transmitting includes transmitting into the environment the RF signal at the first resonance frequency for each material in order of the priority for a specific application.
15. The system of claim 14 , wherein the at least the subset of the plurality of materials is selected by the user.
16. The system of claim 11 , further comprising a machine learning system configured to recognize patterns between one or more materials and one or more resonance characteristics for different frequencies.
17. The system of claim 11 , wherein the first resonance frequency is related to a number of protons in atoms composing the target material.
18. The system of claim 11 , wherein the report further includes:
additional scans conducted; and
a rationale for ruling out specific materials based on unique characteristics.
19. The system of claim 11 , wherein analyzing further includes:
generating a list of frequencies and associated resonance characteristics.
20. The system of claim 11 , wherein transmitting includes transmitting at least one resonance frequency multiple times for particular material to improve a confidence level of detection for the at least one resonance frequency.