RF-based special material detection system with secure multi-dimensional authentication
A method includes accessing a material database associating each of a plurality of materials with one or more corresponding resonance frequencies; for each material of at least a subset of the plurality of materials in the material database: transmitting, via an RF transmitter, an RF signal into a target at a first resonance frequency for each material; receiving, via an RF receiver, a response signal from the target; and analyzing the response signal for resonance characteristics that indicate a presence of each material in the target; generating a report of each material in the target indicated by the resonance characteristics; and integrating the report with at least one of: a timestamp; image or video data from a camera; or geolocation data from a geolocation sensor.
1. A machine-implemented method for detecting and identifying materials within a target object located at a distance from a material detection and identification system including at least one processor, a radio frequency (RF) transmitter, and an RF receiver, the machine-implemented method comprising:
accessing, via the at least one processor, a material database storing previously obtained data associating each of a plurality of materials with one or more corresponding resonance frequencies at which the plurality of materials when exposed to RF signals the one or more corresponding resonance frequencies produce response signals with detectable resonance characteristics, wherein the material database is previously created by transmitting the RF signals into known materials at various frequencies and storing frequencies at which resonance characteristics are detected for the known materials;
for each material of at least a subset of the plurality of materials in the material database:
transmitting, via the RF transmitter, an RF signal into the target object at a first resonance frequency specified in the material database for each material;
receiving, via the RF receiver, a response signal from the target object in response to the RF signal; and
analyzing, via the at least one processor, the response signal for the resonance characteristics that indicate a presence of each material in the target object; and
generating, via the at least one processor for display on a graphical display screen, a report of each material in the target object indicated by the resonance characteristics detected in a corresponding response signal,
wherein generating includes at least one of:
obtaining a timestamp from the at least one processor and including the timestamp in the report;
obtaining image or video data from a camera in communication with the at least one processor and including the image or video data in the report; or
obtaining previously unknown geolocation data from a geolocation sensor in communication with the at least one processor and including the previously unknown geolocation data in the report.
2. The machine-implemented method of claim 1 , further comprising:
encrypting the report using a first encryption method.
3. The machine-implemented method of claim 2 , further comprising:
transmitting the encrypted report to at least one of a security network or one or more third parties.
4. The machine-implemented method of claim 1 , wherein generating the report further comprises including, in the report, data obtained from one or more additional sensors in communication with the at least one processor, the one or more additional sensors including one or more of a motion sensor, a temperature sensor, a microphone, a thermal imager, a radar device, a lidar device, an ultrasound device, a speaker, or a wearable device.
5. The machine-implemented method of claim 1 , wherein the report includes at least one of a signal strength of the response signal, as measured by the RF receiver, or a confidence level of identification, as calculated by the at least one processor.
6. The machine-implemented method of claim 1 , wherein the material database indicates a priority of detecting each material of the at least the subset of the plurality of materials for one or more applications, and wherein transmitting includes transmitting into the target object the RF signal at the first resonance frequency for each material in order of the priority for a specific application.
7. The machine-implemented method of claim 1 , wherein the at least the subset of the plurality of materials is selected by a user.
8. The machine-implemented method of claim 1 , further comprising, if no materials are identified or ambiguous resonance characteristics are detected, repeating the transmitting, receiving, and analyzing using a second resonance frequency for one or more of the materials in the material database.
9. The machine-implemented method of claim 1 , further comprising:
performing facial recognition on the image or video data; and
if a person is positively identified by the facial recognition, storing personal details of the identified person in a security database.
10. The machine-implemented method of claim 9 , wherein, if the identified person is included in a list of individuals, the method further includes initiating an alarm or another automatic action.
11. A material detection and identification system for detecting and identifying materials within a target object located at a distance, comprising:
an interface configured to access a material database storing previously obtained data associating each of a plurality of materials with one or more corresponding resonance frequencies at which the plurality of materials when exposed to radio frequency (RF) signals at the one or more corresponding resonance frequencies produce response signals with detectable resonance characteristics, wherein the material database is previously created by transmitting the RF signals into known materials at various frequencies and storing frequencies at which resonance characteristics are detected for the known materials;
an RF transmitter configured to, for each material of at least a subset of the plurality of materials in the material database, transmit into the target object an RF signal at a first resonance frequency specified in the material database for each material;
an RF receiver configured to receive a response signal from the target object for each RF signal; and
at least one processor configured to:
analyze each response signal for the resonance characteristics that indicate a presence of each material in the target object; and
generate a report for display on a graphical display screen listing each material in the target object indicated by the resonance characteristics in a corresponding response signal,
wherein generating the report includes at least one of:
obtaining a timestamp from the at least one processor and including the timestamp in the report;
obtaining image or video data from a camera in communication with the at least one processor and including the image or video data in the report; or
obtaining previously unknown geolocation data from a geolocation sensor in communication with the at least one processor and including the previously unknown geolocation data in the report.
12. The material detection and identification system of claim 11 , wherein the at least one processor is further configured to encrypt the report using a first encryption method.
13. The material detection and identification system of claim 12 , wherein the at least one processor is further configured to transmit the encrypted report to at least one of a security network or one or more third parties.
14. The material detection and identification system of claim 11 , wherein the at least one processor is further configured to include, in the report, data from one or more additional sensors in communication with the at least one processor, the one or more additional sensors including one or more of a motion sensor, a temperature sensor, a microphones, a thermal imager, a radar device, a lidar device, an ultrasound device, a speaker, or a wearable device.
15. The material detection and identification system of claim 11 , wherein the report includes at least one of a signal strength of the response signal or a confidence level of identification.
16. The material detection and identification system of claim 11 , wherein the material database indicates a priority of detecting each material of the at least the subset of the plurality of materials for one or more applications, and wherein the RF transmitter is configured to transmit into the target object the RF signal at the first resonance frequency for each material in order of the priority for a specific application.
17. The material detection and identification system of claim 11 , wherein the at least the subset of the plurality of materials is selected by a user.
18. The material detection and identification system of claim 11 , further comprising, if no materials are identified or ambiguous resonance characteristics are detected, the at least one processor is further configured to repeat the transmitting, receiving, and analyzing using a second resonance frequency for one or more of the materials in the material database.
19. The material detection and identification system of claim 11 , wherein the at least one processor is further configured to:
perform facial recognition on the image or video data; and
if a person is positively identified by the facial recognition, store personal details of the identified person in a security database.
20. The material detection and identification system of claim 19 , wherein, if the identified person is included in a list of individuals, the at least one processor is further configured to initiate an alarm or another automatic action.