IP Library Granted Patent US 12,613,229
Granted Patent B2
US 12,613,229 · App. 18/453,799 · Granted Apr 28, 2026

Mobile communications device with electronic nose

Inventors: Alexander Himanshu Amin (Solon, OH); Himanshu Subhash Amin (Solon, OH)
G01N33/0031G06F16/951H04W4/02H04W4/029H04W88/02
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Quick Facts
Patent No.
US 12,613,229
App. No.
18/453,799
Granted
Apr 28, 2026
Kind
B2
Abstract

Systems and methods for a mobile electronic system that gathers and analyzes odors, airborne chemicals and/or compounds. The system includes a sample delivery component that can gather airborne substances and/or gaseous substances. A detection component can detect the presences of chemicals, substances, and/or visual gases in a sample. Analyzed samples can be compared with known substance and/or odor analysis. In addition, the source of the sample can be determined. Accordingly, odor, gas, and/or airborne substance identification can be accomplished.

Claims (51)

1 . A mobile device comprising:

a processor operatively coupled to an electronic nose, wherein the processor executes computer-executable components stored in memory, the computer-executable components comprising at least:

an image detection component that comprises a camera configured to capture a digital image of a physical source emitting the airborne sample and generate a digital signal representing the image;

an analysis component that processes the digital signal to identify characteristics associated with the physical source;

an input component that accesses stored representations of known sources maintained in memory, each stored representation comprising a digital signal corresponding to a known source, and compares the digital signal and stored representations to determine a degree of correspondence between the digital signal and the stored representations;

an inference component that determines a probability of a match between the analyzed digital signal and at least one stored representation of a known source and outputs an identification of the physical source based on the probability of a match; and

a detection component that includes a sensor array of polymer films or transistors configured to detect the airborne sample and output signal data associated with the sample, wherein the detection component further comprises one or more visual detectors.

2 . The mobile device of claim 1 , wherein the inference component infers actions or conclusions in connection with the identification of the source.

3 . The mobile device of claim 1 , further comprising:

a filter component that filters information related to the source, received from various sensors employed by the mobile device, to facilitate quick convergence on the identification of the source by ruling out null items as potential candidates.

4 . The mobile device of claim 1 , wherein the memory includes volatile memory and non-volatile memory.

5 . The mobile device of claim 1 , further comprising:

A filtering component that employs and filters information to facilitate quickly converging on identification of the source.

6 . The mobile device of claim 1 , wherein the inference component generates a probability distribution pertaining to potential candidate matches.

7 . The mobile device of claim 1 , further comprising:

A search component that performs an internet-based search to further facilitate the identification of the source.

8 . The mobile device of claim 1 , further comprising:

A Global Positioning System (GPS) component that detects a geographical location of the source.

9 . The mobile device of claim 1 , wherein the detection component converts changes in physical or electrical properties of the sensor array into a digital headspace signature, and the analysis component performs a pattern recognition operation selected from principal component analysis, multiple linear regression, discriminant function analysis, or cluster analysis to assist in identifying the physical source.

10 . A method, comprising:

capturing, by a system operatively coupled to a processor, a digital image of a physical source emitting an airborne sample using a camera to generate a digital signal representing the image;

analyzing, by the system, the digital signal to identify characteristics associated with the physical source;

accessing, by the system, stored representations of known sources maintained in memory, each stored representation comprising a digital signal corresponding to a known source;

comparing, by the system, the digital signal and the stored representations to determine a degree of correspondence between the digital signal and the stored representations;

detecting, by the system, the airborne sample using a detection component comprising a sensor array of polymer films or transistors configured to output signal data associated with the airborne sample, the detection component further comprising one or more visual detectors;

determining, by the system, a probability of a match between the analyzed digital signal and at least one stored representation of a known source; and

outputting, by the system, an identification of the physical source based on the probability of a match.

11 . The method of claim 10 , further comprising:

Filtering, by the system, information related to the source.

12 . The method of claim 11 , wherein the information related to the source is received from various sensors employed by the mobile device.

13 . The method of claim 10 , further comprising:

Inferring actions or conclusions in connection with the identification of the source.

14 . The method of claim 10 , further comprising:

Analyzing, by the system, a visual aspect of the sample using a light-based detection sensor configured to output signal data associated with the sample.

15 . The method of claim 10 , further comprising:

Generating, by the system, a probability distribution pertaining to potential candidate matches.

16 . The method of claim 10 , wherein the analyses performed by the system includes selecting the best candidate match among images stored in memory.

17 . The method of claim 10 , further comprising:

Performing, by the system, an internet-based search to further facilitate the identification of the source.

18 . A non-transitory computer-readable medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:

capturing, by the processor, a digital image of a physical source emitting an airborne sample using a camera to generate a digital signal representing the image;

analyzing, by the processor, the digital signal to identify characteristics associated with the physical source;

accessing, by the processor, stored representations of known sources maintained in memory, each stored representation comprising a digital signal corresponding to a known source;

comparing, by the processor, the digital signal and the stored representations to determine a degree of correspondence between the digital signal and the stored representations;

detecting, by the processor, the airborne sample using a detection component comprising a sensor array of polymer films or transistors configured to output signal data associated with the airborne sample, the detection component further comprising one or more visual detectors;

determining, by the processor, a probability of a match between the analyzed digital signal and at least one stored representation of a known source; and

outputting, by the processor, an identification of the physical source based on the probability of a match.

19 . The non-transitory computer-readable medium of claim 18 , wherein the operations further comprise:

Performing, by the processor, an internet-based search to further facilitate the identification of the source.

20 . The non-transitory computer-readable medium of claim 18 , wherein the operations further comprise:

Identifying, by the processor, sources of audio, related to the source of the airborne sample, received by a mobile device.

Continuity (7)
Continuation 17539589 · Dec 1, 2021
Continuation 16875453 · May 15, 2020
Continuation 16290330 · Mar 1, 2019
Continuation 15460124 · Mar 15, 2017
Continuation 13839206 · Mar 15, 2013
Provisional Application 61643781 · May 7, 2012
Related Publication 20230393110A1 · Dec 7, 2023
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