Prosecution Insights
Last updated: April 19, 2026
Application No. 18/431,738

MACHINE LEARNING AND COMPUTER VISION SOLUTIONS TO SEAMLESS VEHICLE IDENTIFICATION AND ENVIRONMENTAL TRACKING THEREFOR

Non-Final OA §103
Filed
Feb 02, 2024
Examiner
STREGE, JOHN B
Art Unit
2669
Tech Center
2600 — Communications
Assignee
Metropolis Ip Holdings LLC
OA Round
3 (Non-Final)
87%
Grant Probability
Favorable
3-4
OA Rounds
3y 1m
To Grant
99%
With Interview

Examiner Intelligence

Grants 87% — above average
87%
Career Allow Rate
929 granted / 1072 resolved
+24.7% vs TC avg
Moderate +14% lift
Without
With
+14.2%
Interview Lift
resolved cases with interview
Typical timeline
3y 1m
Avg Prosecution
22 currently pending
Career history
1094
Total Applications
across all art units

Statute-Specific Performance

§101
10.9%
-29.1% vs TC avg
§103
41.7%
+1.7% vs TC avg
§102
22.5%
-17.5% vs TC avg
§112
12.0%
-28.0% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1072 resolved cases

Office Action

§103
Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on 12/09/25 has been entered. Response to Amendment The amendment received 12/09/25 has been entered in full. Response to Arguments Applicant’s arguments with respect to the pending claims have been considered but are moot because the new ground of rejection is used to teach the amended limitations of the claims. Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claims 1-5, 7-11, and 13-17 are rejected under 35 U.S.C. 103 as being unpatentable over Tatematsu et al. US 2022/0371512 (hereinafter “Tatematsu”, cited in the IDS) in view Yan et al. US 10,930,151 (hereinafter “Yan”) and further in view of Sharma Banjade et al. US 2025/0128698 (hereinafter “Sharma Banjade”). Regarding claim 1, Tatematsu discloses a method (see paragraph 0047, a passage control system that controls passage of a vehicle by opening and closing a gate, see also figure 1) PNG media_image1.png 126 354 media_image1.png Greyscale PNG media_image2.png 414 521 media_image2.png Greyscale comprising: capturing PNG media_image3.png 303 347 media_image3.png Greyscale determining, model and color can be determined from the images, also see paragraph 0113 where this can be obtained using machine learning) PNG media_image4.png 258 352 media_image4.png Greyscale PNG media_image5.png 231 345 media_image5.png Greyscale ; PNG media_image6.png 77 344 media_image6.png Greyscale PNG media_image7.png 227 345 media_image7.png Greyscale PNG media_image8.png 230 352 media_image8.png Greyscale ; and responsive to PNG media_image8.png 230 352 media_image8.png Greyscale The claimed invention discloses describing attributes of the vehicle and a vehicle identifier whereas Tatematsu discloses first plate recognition and if that fails to recognize the automobile then attributes about the vehicle itself can be found. Thus Tatematsu does not explicitly disclose verifying the status of the vehicle based on the concordance of both the plurality of parameters and the vehicle identifier. Yan discloses a parking management method and as seen in figure 4 detects both a vehicle and a license plate of the vehicle and if both the parameters of vehicle is detected and the license plate number is recognized then tracks the vehicle and the license plate to determine entry/exit of the vehicle parking event information PNG media_image9.png 514 574 media_image9.png Greyscale Tatematsu and Yan are analogous art because they are from the same field of endeavor of monitoring parking events. Before the effective filing date of the invention it would have been obvious to one of ordinary skill in the art to combine Tatematsu with Yan to determine a concordance of the plurality of parameters and the vehicle identifier. Tatematsu discloses that both can be carried out, and by making them in concordance as is done by Yan would make the system more secure. Tatematsu does not explicitly disclose using an edge device in order to capture, process, and transmit instructions to a server, however it is well known to use edge devices in order to speed up processing of local information as taught by Sharma Banjade. Sharma Banjade discloses that a parking facility may contain one or more edged computed devices to monitor that status of a parking facility and allow communication with outside systems to control the parking facility (see paragraphs 0113, 0115, and 0119) PNG media_image10.png 160 360 media_image10.png Greyscale PNG media_image11.png 380 346 media_image11.png Greyscale PNG media_image12.png 224 344 media_image12.png Greyscale Tatematsu and Sharma Banjade are analogous art because they are from the same field of endeavor of monitoring a parking facility. Before the effective filing date of the invention it would have been obvious to one of ordinary skill in the art to combine Tatematsu and Sharma Banjade to use an edge device such as the MEC of Sharma Banjade to carry out the processing of the parking control systems functions. The motivation would be to use the MEC platform to carry out the processing of the computing platform in a faster manner. Regarding claim 2, Tatematsu discloses the plurality of parameters comprise identifying attributes of the vehicle (see paragraph 0111 copied above). Regarding claim 3, Tatematsu discloses wherein the first machine learning model is trained to output the identifying attributes of the vehicle using example data comprising images of vehicles that are labeled with one or more candidate identifying attributes (see paragraph 0111 copied above). Regarding claim 4 Tatematsu discloses the vehicle identifier comprises geographical nomenclature and a string of characters (see paragraph 0050) PNG media_image13.png 140 332 media_image13.png Greyscale . Regarding claim 5, Tatematsu discloses the second machine learning model is trained to identify the geographical nomenclature and the string of characters using training example images of license plates, where each of the training example images is labeled with its corresponding geographical nomenclature and string of characters (see above paragraph 0050 and 0106-0107) PNG media_image14.png 494 351 media_image14.png Greyscale . Claims 7-11 are similarly analyzed to claims 1-5. Claims 13-17 are similarly analyzed to claims 1-5. Claims 6, 12, and 18 are rejected under 35 U.S.C. 103 as being unpatentable over Tatematsu et al. US 2022/0371512 (hereinafter “Tatematsu”, cited in the IDS) in view of Sharma Banjade and further in view of Correnti et al. US 2021/0076010 (hereinafter “Correnti”, cited in the IDS). Regarding claim 6, as discussed above Tatematsu discloses the limitations of claim 1. Tatematsu further discloses wherein determining the vehicle identifier for first data set comprises determining that the vehicle identifier is unknown (see paragraph 0295-0296) PNG media_image15.png 115 349 media_image15.png Greyscale Tatematsu nor Sharma Banjade do not explicitly disclose transmitting an alert to an administrator, the alert associated with at least a portion of the subset of images, and receiving, from the administrator, input that specifies the vehicle identifier. Correnti discloses transmitting an alert to an administrator associated with a portion of the subset of images (see paragraph 0123) with transmitting a notification indicative of an alarm event to alert a monitoring station in which further information can be obtained to determine that inputs specifics about the vehicle and occupants (see paragraphs 0142-0143) PNG media_image16.png 347 271 media_image16.png Greyscale Tatematsu and Correnti are analogous art because they are from the same field of endeavor of monitoring vehicle access. Before the effective filing date of the invention it would have been obvious to one of ordinary skill in the art to combine Tatematsu and Correnti to alert an administrator and determine further information of a vehicle. The motivation would be to problem solve when a vehicle is not properly recognized as authorized. Claim 12 is similarly analyzed to claim 6. Claim 18 is similarly analyzed to claim 6. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to JOHN B STREGE whose telephone number is (571)272-7457. The examiner can normally be reached M-F 9-5 (PST). 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, Chan Park can be reached at (571)272-7409. 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. /JOHN B STREGE/Primary Examiner, Art Unit 2669
Read full office action

Prosecution Timeline

Feb 02, 2024
Application Filed
Jun 03, 2024
Response after Non-Final Action
May 19, 2025
Non-Final Rejection — §103
Aug 20, 2025
Response Filed
Sep 10, 2025
Final Rejection — §103
Dec 09, 2025
Request for Continued Examination
Jan 06, 2026
Response after Non-Final Action
Jan 27, 2026
Non-Final Rejection — §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

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METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR VERIFYING CLASSIFICATION RESULT
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MACHINE LEARNING AND COMPUTER VISION SOLUTIONS TO SEAMLESS VEHICLE IDENTIFICATION AND ENVIRONMENTAL TRACKING THEREFOR
2y 5m to grant Granted Mar 31, 2026
Patent 12591951
SINGLE IMAGE SUPER-RESOLUTION PROCESSING METHOD AND SYSTEM
2y 5m to grant Granted Mar 31, 2026
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2y 5m to grant Granted Feb 17, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
87%
Grant Probability
99%
With Interview (+14.2%)
3y 1m
Median Time to Grant
High
PTA Risk
Based on 1072 resolved cases by this examiner. Grant probability derived from career allow rate.

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