Prosecution Insights
Last updated: April 19, 2026
Application No. 18/593,941

Defect Detection Prediction with a Compact Set of Prediction Channels

Non-Final OA §102§112
Filed
Mar 03, 2024
Examiner
NASHER, AHMED ABDULLALIM-M
Art Unit
2675
Tech Center
2600 — Communications
Assignee
AI Qualisense 2021 Ltd.
OA Round
1 (Non-Final)
81%
Grant Probability
Favorable
1-2
OA Rounds
2y 9m
To Grant
99%
With Interview

Examiner Intelligence

Grants 81% — above average
81%
Career Allow Rate
80 granted / 99 resolved
+18.8% vs TC avg
Strong +34% interview lift
Without
With
+34.4%
Interview Lift
resolved cases with interview
Typical timeline
2y 9m
Avg Prosecution
17 currently pending
Career history
116
Total Applications
across all art units

Statute-Specific Performance

§101
9.0%
-31.0% vs TC avg
§103
63.1%
+23.1% vs TC avg
§102
14.5%
-25.5% vs TC avg
§112
10.7%
-29.3% vs TC avg
Black line = Tech Center average estimate • Based on career data from 99 resolved cases

Office Action

§102 §112
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 . Drawings The drawings are objected to under 37 CFR 1.83(a). The drawings must show every feature of the invention specified in the claims. Therefore, the features that correlate to paragraphs of the specification [0006-0009, 0028-0045, and 0051] relating to clustering techniques must be shown or the feature(s) canceled from the claim(s). No new matter should be entered. Corrected drawing sheets in compliance with 37 CFR 1.121(d) are required in reply to the Office action to avoid abandonment of the application. Any amended replacement drawing sheet should include all of the figures appearing on the immediate prior version of the sheet, even if only one figure is being amended. The figure or figure number of an amended drawing should not be labeled as “amended.” If a drawing figure is to be canceled, the appropriate figure must be removed from the replacement sheet, and where necessary, the remaining figures must be renumbered and appropriate changes made to the brief description of the several views of the drawings for consistency. Additional replacement sheets may be necessary to show the renumbering of the remaining figures. Each drawing sheet submitted after the filing date of an application must be labeled in the top margin as either “Replacement Sheet” or “New Sheet” pursuant to 37 CFR 1.121(d). If the changes are not accepted by the examiner, the applicant will be notified and informed of any required corrective action in the next Office action. The objection to the drawings will not be held in abeyance. 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 1-18 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. The term “some” in claim 1, 6, 8, 10, 15 and 17 is a relative term which renders the claim indefinite. The term “some” 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. The examiner suggests adding a definition to what is considered to be “some”. Claim Rejections - 35 USC § 102 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. (a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention. Claim(s) 1-18 is/are rejected under 35 U.S.C. 102 (a)(2) as being clearly anticipated by Tabak (US 20240290069 A1). Regarding claims 1 and 10, Tabak discloses obtaining a group of untagged images, each untagged image captures an instance of an item ([0029] Method 100 may start by step 110 of obtaining a group of untagged images, each untagged image captures an instance of an item.); wherein at least some of the untagged images capture different instances of the item ([0029] At least some of the untagged images capture different instances of the item.); obtaining multiple sets of item pixels from the untagged images of the group, each set originated from an untagged image of the group and comprises multiple item pixels ([0030] Step 110 may be followed by step 120 of obtaining multiple sets of item pixels from the untagged images of the group, each set originated from an untagged image of the group and may include multiple item pixels.); determining item features of the item for each set, based on the multiple item pixels of the set and ([0031] Step 120 may be followed by step 130 of determining item features of the item for each set, based on the multiple item pixels of the set.); repeating, until reaching an end condition the steps of ("[0032] Step 130 may be followed by step 140 of executing a repetitive clustering process. [0033] Step 140 may include step 141 of repeating, until reaching an end condition, steps 142, 143, and 144."): a. selecting some of the sets as centroids ([0034] Step 142 may include selecting some of the sets as centroids.); b. clustering the item features of the some of the sets to provide clusters, wherein the clustering is based, at least in part, on the centroids ([0035] Step 143 may include clustering the item features of the some of the sets to provide clusters, wherein the clustering is based, at least in part, on the centroids.); and c. removing members of a cluster that has less members than another cluster ([0036] Step 144 may include removing members of a cluster that has less members than another cluster.); defining untagged images that are associated with a member of any remaining cluster as reference images or as reference image candidates ([0037] After completing the repetitions of steps 141-144—jumping to step 145 of defining untagged images that are associated with a member of the remaining cluster as reference images or as reference image candidates.). Regarding claims 2 and 11, Tabak discloses wherein the end condition is fulfilled when a number of remaining members is below a predefined member number threshold ([0038] The end condition may be fulfilled when a number of remaining members is below a predefined member number threshold.). Regarding claims 3 and 12, Tabak discloses wherein the end condition is fulfilled when differences between remaining members are below a difference predefined threshold ([0039] The end condition may be fulfilled when differences between remaining members are below a difference predefined threshold.). Regarding claims 4 and 13, Tabak discloses wherein the end condition is fulfilled when a variance of the remaining members is below a variance predefined threshold ([0040] The end condition may fulfilled when a variance of the remaining members is below a variance predefined threshold.). Regarding claims 5 and 14, Tabak discloses wherein the selecting comprises selecting a first centroid in a random manner and selecting a second centroid based on a distance to the first centroid ([0034] Step 142 may include selecting some of the sets as centroids. Step 142 may include selecting a first centroid in a random manner and selecting a second centroid based on a distance to the first centroid.). Regarding claims 6 and 15, Tabak discloses wherein the determining of the item features is executed by a non-item specific neural network, the non-item specific neural network is pre-trained to perform feature extraction of objects, at least some of the objects differ from the item ([0041] Step 140 may be executed by a non-item specific neural network, the non-item specific neural network is pre-trained to perform feature extraction of objects, at least some of the objects differ from the item.). Regarding claims 7 and 16, Tabak discloses finding reference images out of the reference image candidates ([0043] Method 100 may also include step 150 of finding reference images out of the reference image candidates.). Regarding claims 8 and 17, Tabak discloses wherein the determining of the item features is executed by a non-item specific neural network, the non-item specific neural network is pre-trained to perform feature extraction of objects, at least some of the objects differ from the item ([0041] Step 140 may be executed by a non-item specific neural network, the non-item specific neural network is pre-trained to perform feature extraction of objects, at least some of the objects differ from the item.). Regarding claims 9 and 18, Tabak discloses re-training a non-item specific neural network with the reference images ([0047] Step 140 may include re-training a non-item specific neural network with the reference image candidates.). The examiner also notes that claims 1-18 of the instant application and claims 1-18 of the reference application are the exact same. Therefore, claims 1-18 are rejected under 35 U.S.C. 102 (a)(2) as being clearly anticipated by Tabak. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to AHMED A NASHER whose telephone number is (571)272-1885. The examiner can normally be reached Mon - Fri 0800 - 1700. 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, Andrew Moyer can be reached at (571) 272-9523. 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. /AHMED A NASHER/Examiner, Art Unit 2675 /ANDREW M MOYER/Supervisory Patent Examiner, Art Unit 2675
Read full office action

Prosecution Timeline

Mar 03, 2024
Application Filed
Feb 03, 2026
Examiner Interview (Telephonic)
Feb 03, 2026
Non-Final Rejection — §102, §112 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12601840
TUNING PARAMETER DETERMINATION METHOD FOR TRACKING AN OBJECT, A GROUP DENSITY-BASED CLUSTERING METHOD, AN OBJECT TRACKING METHOD, AND AN OBJECT TRACKING APPARATUS USING A LIDAR SENSOR
2y 5m to grant Granted Apr 14, 2026
Patent 12586329
MODELING METHOD, DEVICE, AND SYSTEM FOR THREE-DIMENSIONAL HEAD MODEL, AND STORAGE MEDIUM
2y 5m to grant Granted Mar 24, 2026
Patent 12582373
GENERATING SYNTHETIC ELECTRON DENSITY IMAGES FROM MAGNETIC RESONANCE IMAGES
2y 5m to grant Granted Mar 24, 2026
Patent 12567255
FEW-SHOT VIDEO CLASSIFICATION
2y 5m to grant Granted Mar 03, 2026
Patent 12561965
NEURAL NETWORK CACHING FOR VIDEO
2y 5m to grant Granted Feb 24, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

AI Strategy Recommendation

Get an AI-powered prosecution strategy using examiner precedents, rejection analysis, and claim mapping.
Powered by AI — typically takes 5-10 seconds

Prosecution Projections

1-2
Expected OA Rounds
81%
Grant Probability
99%
With Interview (+34.4%)
2y 9m
Median Time to Grant
Low
PTA Risk
Based on 99 resolved cases by this examiner. Grant probability derived from career allow rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month