Prosecution Insights
Last updated: May 29, 2026
Application No. 19/258,296

SYSTEMS AND METHODS FOR HIGH-SPEED, HIGH-ACCURACY SYMBOL PROCESSING

Non-Final OA §102
Filed
Jul 02, 2025
Priority
Jul 03, 2024 — provisional 63/667,644
Examiner
MIKELS, MATTHEW
Art Unit
2876
Tech Center
2800 — Semiconductors & Electrical Systems
Assignee
Cognex Corporation
OA Round
2 (Non-Final)
81%
Grant Probability
Favorable
2-3
OA Rounds
1y 3m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 81% — above average
81%
Career Allowance Rate
1053 granted / 1303 resolved
+12.8% vs TC avg
Strong +20% interview lift
Without
With
+20.4%
Interview Lift
resolved cases with interview
Fast prosecutor
2y 2m
Avg Prosecution
24 currently pending
Career history
1326
Total Applications
across all art units

Statute-Specific Performance

§101
0.3%
-39.7% vs TC avg
§103
61.2%
+21.2% vs TC avg
§102
24.1%
-15.9% vs TC avg
§112
0.7%
-39.3% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1303 resolved cases

Office Action

§102
DETAILED ACTION 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 . Applicant’s response dated 2/20/26 is acknowledged and entered. Claims 1-20 are pending. This action is non-final. Claim Rejections - 35 USC § 102 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. Claims 1-9 and 19-20 are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Li, et al. (US 11,875,259, herein Li).1 2 Regarding claims 1 and 19-20, Li teaches a method, system, and computer readable medium for processing symbols, the method comprising: accessing an image of a symbol comprising embedded information (column 8, lines 13-15: step 210); inputting the image of the symbol into a deep learning module (column 8, lines 17-23: step 230); and generating, with the deep learning module (column 8, lines 46-58), predicted embedded information based on the image of the symbol (column 8, lines 24-34: enhanced barcode 250). Regarding claim 2, Li teaches generating the embedded information based on the predicted embedded information (column 8, lines 24-34: enhanced barcode 250). Regarding claim 3, Li teaches generating the embedded information comprises determining errors in the predicted embedded information (column 8, lines 24-34: step 270, see also column 9, lines 22-46). Regarding claim 4, Li teaches generating the embedded information comprises correcting any determined errors in the predicted embedded information (column 10, lines 16-38). Regarding claim 5, Li teaches the predicted embedded information comprises a plurality of codewords or intermediate digital representations of the plurality of codewords (column 5, lines 4-25). Regarding claim 6, Li teaches generating the embedded information comprises determining errors in the plurality of codewords (column 8, lines 24-34: step 270, see also column 9, lines 22-46). Regarding claim 7, Li teaches generating the embedded information comprises correcting any determined errors in the plurality of codewords (column 9, lines 50-64). Regarding claim 8, Li teaches generating a candidate barcode region in the image of the symbol (column 9, lines 50-64); and cropping the candidate barcode region from the image of the symbol (column 9, lines 50-64). Regarding claim 9, Li teaches generating, with the deep learning module, the predicted embedded information comprises: determining whether the candidate barcode region is a barcode region or a non-barcode region (column 9, lines 50-64); and if it is determined that the candidate barcode region is a barcode region, determining a type and/or symbology of a barcode in the barcode region (column 9, lines 50-64). Allowable Subject Matter Claims 10-18 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims. Response to Arguments Applicant’s arguments, see Remarks, filed 2/20/26, with respect to the rejection(s) of claim(s) 1-8 and 19-20 under Yoda (“Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding”, published in arXiv on June 21, 2025, previously cited),3 have been fully considered and are persuasive.4 Therefore, the rejection has been withdrawn. However, upon further consideration, a new grounds of rejection is made in view of Li. See above. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to MATTHEW MIKELS whose telephone number is (571)270-5470. The examiner can normally be reached Monday to Thursday 7:00 AM ET - 4:30 PM ET, Friday 7:00 AM ET - 11:00 AM ET, the Examiner is on central time.5 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, Michael G Lee can be reached at 571-272-2398. 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. /MATTHEW MIKELS/Primary Examiner, Art Unit 2876 1 In addition to the cited portions, please see also the associated figures. 2 Note the publication date of Li is 1/16/24. The provisional application priority date for the instant application is 7/3/24. Note also that even if the § 102(a)(1) is incorrect, the filing date of Li is 10/4/23, making Li eligible as prior art under § 102(a)(2) as well. The rationale supporting the rejection in either case would be the same, as discussed herein. 3 See Non-patent literature dated 12/23/25. 4 Yoda did not antedate the priority date of the instant application. 5 The Examiner can also be reached at matthew.mikels@uspto.gov.
Read full office action

Prosecution Timeline

Jul 02, 2025
Application Filed
Dec 23, 2025
Non-Final Rejection mailed — §102
Feb 20, 2026
Response Filed
Mar 04, 2026
Non-Final Rejection mailed — §102
May 04, 2026
Interview Requested
May 13, 2026
Examiner Interview Summary
May 13, 2026
Applicant Interview (Telephonic)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

2-3
Expected OA Rounds
81%
Grant Probability
99%
With Interview (+20.4%)
2y 2m (~1y 3m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 1303 resolved cases by this examiner. Grant probability derived from career allowance rate.

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