Prosecution Insights
Last updated: April 19, 2026
Application No. 18/052,033

Optical Fraud Detector for Automated Detection Of Fraud In Digital Imaginary-Based Automobile Claims, Automated Damage Recognition, and Method Thereof

Final Rejection §101§112
Filed
Nov 02, 2022
Examiner
HAMILTON, SARA CHANDLER
Art Unit
3695
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Swiss Reinsurance Company Ltd.
OA Round
4 (Final)
64%
Grant Probability
Moderate
5-6
OA Rounds
3y 9m
To Grant
99%
With Interview

Examiner Intelligence

Grants 64% of resolved cases
64%
Career Allow Rate
321 granted / 500 resolved
+12.2% vs TC avg
Strong +53% interview lift
Without
With
+53.3%
Interview Lift
resolved cases with interview
Typical timeline
3y 9m
Avg Prosecution
35 currently pending
Career history
535
Total Applications
across all art units

Statute-Specific Performance

§101
30.9%
-9.1% vs TC avg
§103
27.7%
-12.3% vs TC avg
§102
8.7%
-31.3% vs TC avg
§112
24.5%
-15.5% vs TC avg
Black line = Tech Center average estimate • Based on career data from 500 resolved cases

Office Action

§101 §112
DETAILED ACTION Response to Amendment This Office Action is responsive to Applicant’s arguments and request for reconsideration of application 18/052,033 (11/02/22) filed on 10/27/27. Claim Objections Claim 1 is objected to because of the following informalities: Claim 1 refers to “one or more digital images” and “digital images” interchangeably. Singular/ plural problem. Appropriate correction is required. Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 1, 2, 12 - 14 and 16 are rejected under 35 U.S.C. 101 because the claimed invention is directed to non-statutory subject matter. ALICE/ MAYO: TWO-PART ANALYSIS 2A. First, a determination whether the claim is directed to a judicial exception (i.e., abstract idea). Prong 1: A determination whether the claim recites a judicial exception (i.e., abstract idea). Groupings of abstract ideas enumerated in the 2019 Revised Patent Subject Matter Eligibility Guidance. Mathematical concepts- mathematical relationships, mathematical formulas or equations, mathematical calculations. Certain methods of organizing human activity- fundamental economic principles or practices (including hedging, insurance, mitigating risk); commercial or legal interactions (including agreements in the form of contracts; legal obligations; advertising, marketing or sales activities or behaviors; business relations); managing personal behavior or relationships or interactions between people (including social activities, teaching, and following rules or instructions). Mental processes- concepts performed in the human mind (including an observation, evaluation, judgement, opinion). Prong 2: A determination whether the judicial exception (i.e., abstract idea) is integrated into a practical application. Considerations indicative of integration into a practical application enumerated in the 2019 Revised Patent Subject Matter Eligibility Guidance. Improvement to the functioning of a computer, or an improvement to any other technology or technical field Applying or using a judicial exception to effect a particular treatment or prophylaxis for a disease or medical condition Applying the judicial exception with, or by use of a particular machine. Effecting a transformation or reduction of a particular article to a different state or thing Applying or using the judicial exception in some other meaningful way beyond generally linking the use of the judicial exception to a particular technological environment, such that the claim as a whole is more than a drafting effort designed to monopolize the exception Considerations that are not indicative of integration into a practical application enumerated in the 2019 Revised Patent Subject Matter Eligibility Guidance. Merely reciting the words “apply it” (or an equivalent) with the judicial exception, or merely including instructions to implement an abstract idea on a computer, or merely using a computer as a tool to perform an abstract idea. Adding insignificant extra-solution activity to the judicial exception. Generally linking the use of the judicial exception to a particular technological environment or field of use. 2B. Second, a determination whether the claim provides an inventive concept (i.e., Whether the claim(s) include additional elements, or combinations of elements, that are sufficient to amount to significantly more than the judicial exception (i.e., abstract idea)). Considerations indicative of an inventive concept (aka “significantly more”) enumerated in the 2019 Revised Patent Subject Matter Eligibility Guidance. Improvement to the functioning of a computer, or an improvement to any other technology or technical field Applying the judicial exception with, or by use of a particular machine. Effecting a transformation or reduction of a particular article to a different state or thing Applying or using the judicial exception in some other meaningful way beyond generally linking the use of the judicial exception to a particular technological environment, such that the claim as a whole is more than a drafting effort designed to monopolize the exception NOTE: The only consideration that does not overlap with the considerations indicative of integration into a practical application associated with step 2A: Prong 2. Considerations that are not indicative of an inventive concept (aka “significantly more”) enumerated in the 2019 Revised Patent Subject Matter Eligibility Guidance. Merely reciting the words “apply it” (or an equivalent) with the judicial exception, or merely including instructions to implement an abstract idea on a computer, or merely using a computer as a tool to perform an abstract idea. Adding insignificant extra-solution activity to the judicial exception. Generally linking the use of the judicial exception to a particular technological environment or field of use. Simply appending well-understood, routine, conventional activities previously known to the industry, specified at a high level of generality, to the judicial exception. NOTE: The only consideration that does not overlap with the considerations that are not indicative of integration into a practical application associated with step 2A: Prong 2. See also, 2010 Revised Patent Subject Matter Eligibility Guidance; Federal Register; Vol. 84, No. 4; Monday, January 7, 2019 Claims 1, 2, 12 - 14 and 16 is/are rejected under 35 U.S.C. 101 because the claimed invention is directed to a judicial exception (i.e., a law of nature, a natural phenomenon, or an abstract idea) without significantly more. 1: Statutory Category Applicant’s claimed invention, as described in independent claim 1, is/are directed to a machine (i.e., automated optical fraud detector). 2(A): The claim(s) are directed to a judicial exception (i.e., an abstract idea). PRONG 1: The claim(s) recite a judicial exception (i.e., an abstract idea). Certain Method of Organizing Human Activity The claim as a whole recites a method of organizing human activity. The claimed invention involves capture one or more digital images, the one or more digital images at least comprising digital images associated with one or more damaged objects of a motor vehicle, and the digital images being processed by determining a first set of attributes at least comprising damage location zones of the motor vehicle and an incident geographic location and an incident date and an incident time by processing user-provided text associated with the digital images by natural language processing, determining a second set of attributes by digital image processing of the one or more digital images, the second set of attributes being at least indicative of at least one zone of the motor vehicle and a damage to the at least one zone, the at least one zone including at least a front center zone and/or a front left zone and/or a front right zone and/or a left zone and/or a right zone and/or a rear left zone and/or a rear right zone and/or a rear center zone and/or a wind-shield zone, and the damage including at least a dent and/or a glass shatter and/or a broken front lamp and/or a broken tail lamp and/or a scratch and/or a smash and/or a hailstone dent, and determining a third set of attributes by digital image processing of the one or more digital images, the third set of attributes being indicative of a roof of the motor vehicle, process mobile sensor data to obtain floating car data from a driver driving the motor vehicle, the floating car data comprising time-stamped geo-localization and speed data obtained from mobiles of the motor vehicle, and determine a fourth set of attributes from the floating car data, the fourth set of attributes indicative of at least one of a passenger's route and/or trip travel time and/or estimate traffic state and/or global positioning system (GPS) data, process said one or more digital images and the sets of attributes for existing image alteration by using an unusual pattern identification structure as a first fraud detection, to detect an unusual damage pattern of the motor vehicle, which is associated with a damage to a motor vehicle that is unlikely to have happened to the motor vehicle due to an accident or natural calamities, based on determining whether damages are to one or more zones on opposite sides of the motor vehicle and whether damage is to the zone representing the roof of the motor vehicle, wherein a rule-based fraud identifier is set in response to the unusual damage pattern being detected, process said one or more digital images for optical fraud detection using an RGB image input, RGB values of the RGB image input, and provide output, trigger an ML-based fraud identifier providing a second fraud detection by having as input, wherein the ML-based fraud identifier is set in response to a fraud being indicated by the second fraud detection, and generate a fraud signaling output based upon detecting the rule-based fraud identifier and/or the ML-based fraud identifier, wherein process, in a second data processing cycle, the one or more digital images, which is a fundamental economic principles or practices (fraud detection); commercial or legal interactions (fraud detection); and managing personal behavior or relationships or interactions between people (capture, determining, process, trigger, generate). The mere nominal recitation of technology (e.g., “circuitry”) does not take the claim out of the method of organizing human activity grouping. Thus, the claim recites an abstract idea. PRONG 2: The judicial exception (i.e., an abstract idea). Is not integrated into a practical application. The claim recites the combination of additional elements of “circuitry” of an “automated optical fraud detector” performing the positively recites steps or acts. The claim recites the combination of additional elements of “determining a second set of attributes …..” by “using machine language (ML)-based convolutional neural network processing”. The claim recites the combination of additional elements of “determining a third set of attributes …..” by “using the ML-based convolutional neural network processing”. The claim recites the combination of additional elements of “process ….. said one or more digital images for optical fraud detection …..” occurring “via an RGB recognition module”, the “RGB values of the RGB image input being used for convolutional neural network (CNN)-based detection including (i) CNN-based pre-existing damage detection, (ii) parallel CNN-based color matching, and (iii) double JPEG compression detection using custom CNN” and “provide output of the CNN-based detection”. The claim recites the combination of additional elements of “trigger an ML-based fraud identifier providing a second fraud detection” occurs by “having as input the output of the CNN-based detection”. The claim recites the combination of additional elements of “process, in a second data processing cycle, the one or more digital images” occurs “by a gradient boosted decision tree model”. The additional element(s) is/ are recited at a high level of generality (i.e., as a generic computer being used as a tool to perform the generic computer functions of (a) data receipt/ transmission (e.g., “capture”, etc. step(s) as claimed); and (b) data processing (e.g., “determining”, “process”, “trigger”, “generate”, etc. step(s) as claimed)). The additional element(s) is/ are recited at a high level of generality (i.e., as general means of gathering damaged object of a motor vehicle data and digital image data), and amounts to mere data gathering, which is a form of insignificant extra-solution activity. The language is no more than mere instructions to apply the exception using generic computer components. Accordingly, the additional element(s) does not integrate the abstract idea into a practical application because it does not impose any meaningful limitations on practicing the abstract idea. The claim is directed to an abstract idea. Since the claim(s) recite a judicial exception and fails to integrate the judicial exception into a practical application, the claim(s) is/are “directed to” the judicial exception. Thus, the claim(s) must be reviewed under the second step of the Alice/ Mayo analysis to determine whether the abstract idea has been applied in an eligible manner. 2(B): The claims do not provide an inventive concept (i.e., The claim(s) do not include additional elements, or combinations of elements, that are sufficient to amount to significantly more than the judicial exception (i.e., abstract idea)). As discussed with respect to Step 2A Prong Two, the additional element(s) in the claim amounts to no more than mere instructions to apply the exception using a generic computer component. The same analysis applies here in 2B, i.e., mere instructions to apply an exception using a generic computer component cannot integrate a judicial exception into a practical application at Step 2A or provide an inventive concept in Step 2B. Furthermore, the additional element(s) under STEP 2A Prong 2 have been evaluated in STEP 2B to determine if it is more than what is well-understood, routine conventional activity in the field. Applicant’s specification as filed 11/02/22 does not provide any indication there is anything other than generic, off-the-shelf computer components. Furthermore, the prosecution history of the instant application provides Campbell, Dong, Howe, Chen and Xu operating in a similar environment, suggesting performing tasks such as (a) data receipt/ transmission (e.g., “capture”, etc. step(s) as claimed); and (b) data processing (e.g., “determining”, “process”, “trigger”, “generate”, etc. step(s) as claimed) are well understood, routine and conventional. Furthermore, the courts have recognized that computer functions or tasks analogous to those claimed by applicant such as (a) data receipt/ transmission (e.g., “capture”, etc. step(s) as claimed); and (b) data processing (e.g., “determining”, “process”, “trigger”, “generate”, etc. step(s) as claimed) are well understood, routine and conventional. Symantec, TLI, OIP Techs and buySAFE court decisions cited in MPEP § 2106.05(D) (ii) indicate that mere collection or receipt of data over a network is a well-understood, routine, and conventional function when it is claimed in a merely generic manner (as here). Flook, Bancorp court decisions cited in MPEP § 2106.05(D) (ii) indicate performing repetitive calculations is a well-understood, routine, and conventional function when it is claimed in a merely generic manner (as here). Accordingly, a conclusion that the additional elements are well-understood, routine, conventional activity is supported under Berkheimer. For these reasons, there is no invention concept in the claim, and thus the claim is ineligible. Dependent claims 2, 12 - 14 and 16 are rejected as ineligible subject matter under 35 U.S.C. 101 based on a rationale similar to the claims from which they depend. Claim Rejections - 35 USC § 112 The following is a quotation of 35 U.S.C. 112(b): (b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention. The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph: The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention. Claim 1 is rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor (or for applications subject to pre-AIA 35 U.S.C. 112, the applicant), regards as the invention. Claim 1 recites, “process said one or more digital images and the sets of attributes for existing image alteration by using an unusual pattern identification structure as a first fraud detection, to detect an unusual damage pattern of the motor vehicle, which is associated with a damage to a motor vehicle that is unlikely to have happened to the motor vehicle due to an accident or natural calamities, based on determining whether damages are to one or more zones on opposite sides of the motor vehicle and whether damage is to the zone representing the roof of the motor vehicle, wherein a rule-based fraud identifier is set in response to the unusual damage pattern being detected,” The term “unlikely” is a relative term which renders the claim indefinite. The term “unlikely” is not defined by the claim, the specification does not provide a standard for ascertaining the requisite degree, and one of ordinary skill in the art would not be reasonably apprised of the scope of the invention. NOTE: The specific language used is not required, but intended as an aide to the applicant in overcoming one or more of the objections and/ or rejections noted in this office action. Alternative language may be proposed. Please indicate where support may be found in the specification for any amendments made. Response to Arguments Objections Please note the objections withdrawn and maintained in light of applicant’s arguments and/ or amendments. 101 Applicant's arguments have been fully considered but they are not persuasive. (1)Applicant argues the claimed invention is not directed to a judicial exception (i.e., an abstract idea). Certain Method of Organizing Human Activity The claimed invention is directed to certain methods of organizing human activity. Fundamental economic principles or practices relate to the economy and commerce. The claimed invention encompasses fundamental economic principles or practices as it relates to insurance and mitigating risk (e.g., fraud detection). This interpretation is consistent with the prosecution history of the instant application. For example, pg. 1 of applicant’s specification as filed 11/02/22 states: The present invention relates to devices, systems, and methods for automated detecting and/or assessing damage to an object such as, for example, a vehicle, wherein possible fraudulent manipulations of digital image and/or fraudulent claims are automatically detected. Thus, it relates to an optical fraud detector and detection device for automated detection of fraud in digital imaginary-based automobile claim processing and automated damage recognition systems. In addition, it relates to devices, systems, and methods for detecting / analyzing / assessing damage to an object such as, for example, a vehicle providing estimates on repair / replacement cost well as, in addition to the evaluation on potential image manipulation and fraud. In particular, the present invention relates to a fully automated method for detecting and/or assessing damage to an object from image data provided by a user. Further, the present invention relates to a recognition apparatus and a recognition method based on image processing for automated damage identification for vehicle or property damages. Furthermore, the present invention also generally relates to image based damage recognition for processing damage claims by an insurance system. See also, at least claim 1 as filed 10/27/25. The claimed invention encompasses commercial or legal interactions. The claimed invention relates to insurance and mitigating risk (e.g., fraud detection). Insurance and mitigating risk, in the instant scenario, pertains to agreements in the form of “contracts”, “legal obligations”, and “business relations”. The claimed invention encompasses managing personal behavior or relationships or interactions (e.g., capture, determining, process, trigger, generate). See also, MPEP §2106.04(a)(2)(II). Mental Processes The “mental processes” rationale has been withdrawn in light of applicant’s arguments and/ or amendments. (2)Applicant argues the judicial exception (i.e., an abstract idea) is integrated into a practical application. Applicant suggests the claimed invention presents a “practical application” because it provides a technical solution to a technical problem; and provides improvements in the functioning of a computer, or to any other technology or technical field (e.g., “The claimed invention provides an improvement of the technical means required to perform the automated detection.” See pg. 11 of applicant’s arguments/remarks as filed 10/27/25. “The technical task or object is the automatic detection of human induced manipulations of digital images, providing automated prevention of fraud, in particular fraudulent damage reports in connection with motor vehicles.” See pg. 11 of applicant’s arguments/remarks as filed 10/08/25.). The Examiner disagrees. Applicant’s arguments suggesting the claimed invention provides a technical solution to a technical problem; and provides improvements in the functioning of a computer, or to any other technology or technical field suggests the applicant believes the technical aspects of the invention are substantial. There exists alternative perspectives however. Insurance and mitigating risk (e.g., fraud detection) is directed to the underlying abstract idea, not the functioning of the computer itself. The claimed invention invokes computers or other machinery (e.g., “circuitry” of an “automated optical fraud detector”) merely as a tool to perform an existing process (e.g., fraud detection) or uses a computer or other machinery (e.g., “circuitry” of an “automated optical fraud detector”) in its ordinary capacity for economic or other tasks (e.g., fraud detection). Adding the words “apply it” (or an equivalent) with the judicial exception is not not indicative of integration into a practical application. See also, MPEP § 2106.05(f). Merely using a computer as a tool to perform an abstract idea; and mere instructions to implement an abstract idea on a computer are not indicative of integration into a practical application. See also, MPEP §2106.05(f). Many of the features applicant relies upon are “insignificant”. For example, they amount to “necessary data gathering and outputting” (e.g., “capture one or more digital images, the one or more digital images at least comprising digital images associated with one or more damaged objects of a motor vehicle,”). Adding insignificant extra-solution activity to the judicial exception is not indicative of integration into a practical application. See also, MPEP §2106.05 (g). Collecting information (e.g., “capture one or more digital images, the one or more digital images at least comprising digital images associated with one or more damaged objects of a motor vehicle,”); analyzing it (e.g., “the digital images being processed by determining a first set of attributes at least comprising damage location zones of the motor vehicle and an incident geographic location and an incident date and an incident time by processing user-provided text associated with the digital images by natural language processing, determining a second set of attributes by digital image processing of the one or more digital images using machine language (ML)-based convolutional neural network processing, the second set of attributes being at least indicative of at least one zone of the motor vehicle and a damage to the at least one zone, the at least one zone including at least a front center zone and/or a front left zone and/or a front right zone and/or a left zone and/or a right zone and/or a rear left zone and/or a rear right zone and/or a rear center zone and/or a wind-shield zone, and the damage including at least a dent and/or a glass shatter and/or a broken front lamp and/or a broken tail lamp and/or a scratch and/or a smash and/or a hailstone dent, and determining a third set of attributes by digital image processing of the one or more digital images using the ML-based convolutional neural network processing, the third set of attributes being indicative of a roof of the motor vehicle, process mobile sensor data to obtain floating car data from a driver driving the motor vehicle, the floating car data comprising time-stamped geo-localization and speed data obtained from mobiles of the motor vehicle, and determine a fourth set of attributes from the floating car data, the fourth set of attributes indicative of at least one of a passenger's route and/or trip travel time and/or estimate traffic state and/or global positioning system (GPS) data, process said one or more digital images and the sets of attributes for existing image alteration by using an unusual pattern identification structure as a first fraud detection, to detect an unusual damage pattern of the motor vehicle, which is associated with a damage to a motor vehicle that is unlikely to have happened to the motor vehicle due to an accident or natural calamities, based on determining whether damages are to one or more zones on opposite sides of the motor vehicle and whether damage is to the zone representing the roof of the motor vehicle, wherein a rule-based fraud identifier is set in response to the unusual damage pattern being detected, process, via an RGB recognition module, said one or more digital images for optical fraud detection using an RGB image input, RGB values of the RGB image input being used for convolutional neural network (CNN)-based detection including (i) CNN-based pre-existing damage detection, (ii) parallel CNN-based color matching, and (iii) double JPEG compression detection using custom CNN, and provide output of the CNN-based detection, trigger an ML-based fraud identifier providing a second fraud detection by having as input the output of the CNN-based detection, wherein the ML-based fraud identifier is set in response to a fraud being indicated by the second fraud detection, and generate a fraud signaling output based upon detecting the rule-based fraud identifier and/or the ML-based fraud identifier,” and “process, in a second data processing cycle, the one or more digital images by a gradient boosted decision tree model.”); and displaying certain results of the collection and analysis merely indicates a field of use or technical environment in which to apply the judicial exception. Generally linking the use of the judicial exception to a particular technological environment or field of use is not indicative of integration into a practical application. See also, MPEP §2106.05 (h). The court in Recentive Analytics concluded, “patents that do no more than claim the application of generic machine learning to new data environments, without disclosing improvements to the machine learning models to be applied are patent ineligible under § 101.” See pg. 18 of Recentive Analytics. See Recentive Analytics, Inc. v. Fox Corp. United States Cour of Appeals for the Federal Circuit. 2023-2437. (3)Applicant argues the claims provide an inventive concept (i.e., The claim(s) do not include additional elements, or combinations of elements, that are sufficient to amount to significantly more than the judicial exception (i.e., abstract idea)). Applicant argues the claimed invention is not “well-understood, routine or conventional”. As discussed with respect to Step 2A Prong Two, the additional element(s) in the claim amounts to no more than mere instructions to apply the exception using a generic computer component. The same analysis applies here in 2B, i.e., mere instructions to apply an exception using a generic computer component cannot integrate a judicial exception into a practical application at Step 2A or provide an inventive concept in Step 2B. Furthermore, the additional element(s) under STEP 2A Prong 2 have been evaluated in STEP 2B to determine if it is more than what is well-understood, routine conventional activity in the field. Applicant’s specification as filed 11/02/22 does not provide any indication there is anything other than generic, off-the-shelf computer components. Furthermore, the prosecution history of the instant application provides Campbell, Dong, Howe, Chen and Xu operating in a similar environment, suggesting performing tasks such as (a) data receipt/ transmission (e.g., “capture”, etc. step(s) as claimed); and (b) data processing (e.g., “determining”, “process”, “trigger”, “generate”, etc. step(s) as claimed) are well understood, routine and conventional. Furthermore, the courts have recognized that computer functions or tasks analogous to those claimed by applicant such as (a) data receipt/ transmission (e.g., “capture”, etc. step(s) as claimed); and (b) data processing (e.g., “determining”, “process”, “trigger”, “generate”, etc. step(s) as claimed) are well understood, routine and conventional. Symantec, TLI, OIP Techs and buySAFE court decisions cited in MPEP § 2106.05(D) (ii) indicate that mere collection or receipt of data over a network is a well-understood, routine, and conventional function when it is claimed in a merely generic manner (as here). Flook, Bancorp court decisions cited in MPEP § 2106.05(D) (ii) indicate performing repetitive calculations is a well-understood, routine, and conventional function when it is claimed in a merely generic manner (as here). Accordingly, a conclusion that the additional elements are well-understood, routine, conventional activity is supported under Berkheimer. For these reasons, there is no invention concept in the claim, and thus the claim is ineligible. Dependent claims 2, 12 - 14 and 16 are rejected as ineligible subject matter under 35 U.S.C. 101 based on a rationale similar to the claims from which they depend. 112 Applicant's arguments have been fully considered but they are not persuasive. Pg. 12 - 13, of applicant’s remarks as filed 10/27/25 have provided an example from para. [0088] of the specification as filed 11/02/22 regarding what may be “unlikely”, but an example is not a definition. Furthermore, the explicit example described in applicant’s specification as filed 11/02/22 has not actually been claimed. See also, MPEP §2111.01. Prior Art Withdrawn in light of applicant’s arguments and/ or amendments. Conclusion Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to SARA C HAMILTON whose telephone number is (571)272-1186. The examiner can normally be reached Monday-Thursday, 8-5, EST. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Christine Tran can be reached at 571-272-8103. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. SARA CHANDLER HAMILTON Primary Examiner Art Unit 3695 /SARA C HAMILTON/Primary Examiner, Art Unit 3695
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Prosecution Timeline

Nov 02, 2022
Application Filed
Jun 10, 2024
Non-Final Rejection — §101, §112
Sep 13, 2024
Response Filed
Nov 18, 2024
Final Rejection — §101, §112
Feb 24, 2025
Response after Non-Final Action
Mar 13, 2025
Request for Continued Examination
Mar 14, 2025
Response after Non-Final Action
Jun 23, 2025
Non-Final Rejection — §101, §112
Oct 27, 2025
Response Filed
Jan 12, 2026
Final Rejection — §101, §112
Apr 14, 2026
Response after Non-Final Action

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Prosecution Projections

5-6
Expected OA Rounds
64%
Grant Probability
99%
With Interview (+53.3%)
3y 9m
Median Time to Grant
High
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