Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18644586 | IMAGE ANALYSIS APPARATUS AND METHOD FOR DETERMINING SHAPE OF PARTICLE INCLUDED IN IMAGE OF OBJECT | April 2024 | August 2025 | Allow | 16 | 1 | 0 | Yes | No |
| 18641880 | THREE-DIMENSIONAL OBJECT TRACKING USING UNVERIFIED DETECTIONS REGISTERED BY ONE OR MORE SENSORS | April 2024 | June 2025 | Allow | 13 | 1 | 0 | Yes | No |
| 18505139 | MULTI-CAMERA PEOPLE MATCHING AND SELECTION METHOD | November 2023 | February 2026 | Allow | 27 | 1 | 0 | No | No |
| 18380786 | EYE TRACKING | October 2023 | January 2026 | Allow | 27 | 1 | 0 | No | No |
| 18235122 | SUBSTRATE DEFECT-DETECTION AND COMPARISON | August 2023 | February 2026 | Allow | 30 | 1 | 0 | No | No |
| 18270402 | METHOD AND SYSTEM FOR TRACKING A STATE OF A CAMERA | June 2023 | March 2026 | Allow | 32 | 1 | 0 | No | No |
| 18258312 | METHOD AND DEVICE FOR DETECTING VIOLATIONS | June 2023 | January 2026 | Allow | 31 | 1 | 0 | No | No |
| 18137237 | METHOD FOR DETECTING AND LOCALIZING A FALSIFIED AREA IN JPEG IMAGES | April 2023 | March 2026 | Allow | 35 | 1 | 0 | Yes | No |
| 18177091 | QUALITY MEASUREMENT BETWEEN MISMATCHED VIDEOS | March 2023 | February 2026 | Allow | 35 | 2 | 0 | Yes | No |
| 18172765 | OBJECT DETECTION DEVICE AND METHOD | February 2023 | November 2025 | Abandon | 33 | 1 | 0 | No | No |
| 18171868 | MINING UNLABELED IMAGES WITH VISION AND LANGUAGE MODELS FOR IMPROVING OBJECT DETECTION | February 2023 | October 2025 | Allow | 32 | 1 | 0 | Yes | No |
| 18099994 | MOVING OBJECT DETECTION DEVICE, MOVING OBJECT DETECTION METHOD, SYSTEM, AND STORAGE MEDIUM | January 2023 | September 2025 | Allow | 32 | 1 | 0 | Yes | No |
| 18006229 | SEMI-SUPERVISED KEYPOINT BASED MODELS | January 2023 | December 2025 | Allow | 35 | 1 | 0 | No | No |
| 18006312 | Appearance Analysis Method and Electronic Device | January 2023 | September 2025 | Allow | 32 | 1 | 0 | No | No |
| 18087312 | SYSTEMS AND METHODS FOR DEFECT DETECTION ON DISPLAYS | December 2022 | June 2025 | Allow | 30 | 0 | 0 | No | No |
| 18075406 | METHOD AND APPARATUS FOR IMPROVING OBJECT IMAGE | December 2022 | January 2026 | Allow | 37 | 2 | 0 | No | No |
| 18074297 | SYSTEMS AND METHODS FOR PROCESSING MAMMOGRAPHY IMAGES | December 2022 | January 2026 | Abandon | 37 | 2 | 0 | No | No |
| 18073376 | SYSTEM AND METHOD FOR AI SEGMENTATION-BASED REGISTRATION FOR MULTI-FRAME PROCESSING | December 2022 | November 2025 | Allow | 36 | 2 | 0 | Yes | No |
| 18058897 | SYSTEM AND METHOD FOR DYNAMIC REDACTION | November 2022 | September 2025 | Allow | 34 | 1 | 0 | No | No |
| 17983923 | METHOD AND PROCESS FOR AUTOMATED AUDITING OF INLINE QUALITY INSPECTION | November 2022 | July 2025 | Allow | 33 | 1 | 0 | No | No |
| 17955841 | HARDWARE-BASED FEATURE TRACKER FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | September 2022 | July 2025 | Allow | 33 | 1 | 0 | Yes | No |
| 17910020 | METHOD FOR TRAINING IMAGE PROCESSING MODEL, AND METHOD FOR GENERATING HIGH DYNAMIC RANGE IMAGE | September 2022 | July 2025 | Allow | 34 | 1 | 0 | No | No |
| 17939256 | CLUSTERING VIDEOS USING A SELF-SUPERVISED DNN | September 2022 | May 2025 | Allow | 32 | 1 | 0 | No | No |
| 17802699 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM | August 2022 | March 2026 | Allow | 42 | 3 | 0 | Yes | No |
| 17904493 | IMAGE PROCESSING DEVICE, MOUNTING DEVICE, AND IMAGE PROCESSING METHOD | August 2022 | April 2025 | Allow | 32 | 1 | 1 | Yes | No |
| 17817328 | DYNAMIC PIXEL DENSITY RESTORATION AND CLARITY RETRIEVAL FOR SCALED IMAGERY | August 2022 | February 2026 | Abandon | 42 | 2 | 0 | Yes | No |
| 17790911 | SURVEILLANCE SYSTEM, SURVEILLANCE APPARATUS, SURVEILLANCE METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM | July 2022 | May 2025 | Allow | 35 | 1 | 0 | Yes | No |
| 17783767 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD FOR IDENTIFYING EXTERIOR ENVIRONMENT OF VEHICLE | June 2022 | April 2025 | Allow | 34 | 1 | 0 | Yes | No |
| 17836467 | APPARATUS AND METHOD FOR GAZE TRACKING BASED ON MACHINE LEARNING | June 2022 | May 2025 | Allow | 35 | 1 | 0 | No | No |
| 17736332 | METHOD AND APPARATUS FOR ESTIMATING SIZE OF DAMAGE IN THE DISASTER AFFECTED AREAS | May 2022 | February 2025 | Allow | 33 | 1 | 0 | No | No |
| 17727469 | DUAL-NEIGHBORHOOD WEAR ANGLE AUTOMATIC DETECTION METHOD | April 2022 | March 2025 | Allow | 35 | 1 | 0 | No | No |
| 17725334 | TONE MAPPING METHOD AND ELECTRONIC DEVICE | April 2022 | September 2025 | Abandon | 41 | 3 | 0 | No | No |
| 17714197 | ARTIFICIAL INTELLIGENCE (AI)-BASED SYSTEM AND METHOD FOR MANAGING EDUCATION OF STUDENTS IN REAL-TIME | April 2022 | January 2025 | Abandon | 34 | 1 | 0 | No | No |
| 17765468 | MAGNETIC RESONANCE (MR) IMAGE ARTIFACT DETERMINATION USING TEXTURE ANALYSIS FOR IMAGE QUALITY (IQ) STANDARDIZATION AND SYSTEM HEALTH PREDICTION | March 2022 | November 2024 | Allow | 31 | 1 | 0 | No | No |
| 17709616 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM | March 2022 | November 2024 | Allow | 32 | 1 | 0 | Yes | No |
| 17762289 | Systems and Techniques for Retraining Models for Video Quality Assessment and for Transcoding Using the Retrained Models | March 2022 | October 2024 | Allow | 31 | 1 | 0 | Yes | No |
| 17639926 | ENHANCEMENT OF MEDICAL IMAGES | March 2022 | August 2025 | Allow | 42 | 2 | 0 | No | No |
| 17671934 | OPHTHALMOLOGIC IMAGE PROCESSING METHOD AND OPHTHALMOLOGIC IMAGE PROCESSING DEVICE | February 2022 | August 2025 | Abandon | 42 | 3 | 0 | No | No |
| 17635539 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, PROGRAM, AND IMAGE PROCESSING SYSTEM | February 2022 | August 2025 | Abandon | 42 | 2 | 0 | No | No |
| 17665355 | IMAGE PROCESSING APPARATUS SUPPORTING OBSERVATION OF OBJECT USING MICROSCOPE, CONTROL METHOD THEREFOR, AND STORAGE MEDIUM STORING CONTROL PROGRAM THEREFOR | February 2022 | November 2025 | Allow | 45 | 3 | 1 | No | No |
| 17588103 | SYSTEMS AND METHODS FOR ADJUSTABLE IMAGE RESCALING | January 2022 | October 2024 | Allow | 32 | 1 | 0 | No | No |
| 17573780 | REMOVAL OF ARTIFACTS FROM IMAGES CAPTURED BY SENSORS | January 2022 | October 2024 | Allow | 33 | 1 | 0 | No | No |
| 17556288 | INFRARED DATA ANALYSIS FOR FOREGOING IMAGE PROCESSING | December 2021 | November 2024 | Abandon | 35 | 1 | 0 | No | No |
| 17556662 | SYSTEM AND METHOD FOR TWO-STAGE OBJECT DETECTION AND CLASSIFICATION | December 2021 | April 2025 | Abandon | 40 | 2 | 0 | No | No |
| 17615571 | PANORAMIC IMAGE AND VIDEO SPLICING METHOD, COMPUTER-READABLE STORAGE MEDIUM, AND PANORAMIC CAMERA | November 2021 | September 2024 | Allow | 33 | 1 | 0 | Yes | No |
| 17615502 | SYSTEM FOR DETERMINING THE EFFECT OF ACTIVE INGREDIENTS ON ACARIFORMES, INSECTS AND OTHER ORGANISMS IN AN ASSAY PLATE CONTAINING WELLS | November 2021 | July 2025 | Allow | 43 | 3 | 0 | Yes | No |
| 17615442 | SUBSTRATE INSPECTION DEVICE, SUBSTRATE INSPECTION SYSTEM, AND SUBSTRATE INSPECTION METHOD | November 2021 | July 2024 | Allow | 32 | 1 | 0 | Yes | No |
| 17452680 | AUTOMATICALLY DETERMINING THE PROPER FRAMING AND SPACING FOR A MOVING PRESENTER | October 2021 | November 2024 | Abandon | 37 | 2 | 0 | No | No |
| 17602080 | SYSTEM FOR IN-LINE INSPECTION OF SEAL INTEGRITY | October 2021 | June 2025 | Allow | 44 | 3 | 0 | Yes | No |
| 17491213 | METHODS FOR AUTOMATICALLY GENERATING A COMMON MEASUREMENT ACROSS MULTIPLE ASSEMBLY UNITS | September 2021 | August 2024 | Allow | 35 | 1 | 0 | No | No |
| 17434096 | CONTROL METHOD, LEARNING DEVICE, DISCRIMINATION DEVICE AND PROGRAM | August 2021 | July 2024 | Allow | 34 | 2 | 0 | Yes | No |
| 17360841 | DATA CLASSIFICATION BASED ON RECURSIVE CLUSTERING | June 2021 | September 2024 | Allow | 39 | 2 | 0 | Yes | No |
| 17353534 | TECHNIQUES FOR IMPROVING AN IMAGE READABILITY USING ONE OR MORE PATTERNS | June 2021 | May 2025 | Allow | 47 | 4 | 0 | No | No |
| 17344935 | INSPECTION DEVICE, IMAGE FORMING APPARATUS, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING INSPECTION PROGRAM | June 2021 | June 2024 | Allow | 37 | 2 | 0 | No | No |
| 17337413 | PROCESSING OF TRACTOGRAPHY RESULTS USING AN AUTOENCODER | June 2021 | December 2025 | Allow | 54 | 3 | 0 | Yes | Yes |
| 17316446 | METHODS AND APPARATUS FOR IDENTIFYING SURFACE FEATURES IN THREE-DIMENSIONAL IMAGES | May 2021 | December 2024 | Allow | 43 | 2 | 0 | Yes | No |
| 17160080 | METHOD AND SYSTEM FOR EXTRACTION OF DATA FROM DOCUMENTS FOR ROBOTIC PROCESS AUTOMATION | January 2021 | November 2025 | Allow | 57 | 6 | 0 | Yes | Yes |
| 17260096 | AUTOMATED PRE-OPERATIVE ASSESSMENT OF IMPLANT PLACEMENT IN HUMAN BONE | January 2021 | March 2025 | Allow | 50 | 3 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner DARDANO, STEFANO ANTHONY.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 50.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the top 25% across the USPTO, indicating that filing appeals is particularly effective here. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner DARDANO, STEFANO ANTHONY works in Art Unit 2663 and has examined 16 patent applications in our dataset. With an allowance rate of 81.2%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 40 months.
Examiner DARDANO, STEFANO ANTHONY's allowance rate of 81.2% places them in the 52% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.
On average, applications examined by DARDANO, STEFANO ANTHONY receive 2.38 office actions before reaching final disposition. This places the examiner in the 68% percentile for office actions issued. This examiner issues a slightly above-average number of office actions.
The median time to disposition (half-life) for applications examined by DARDANO, STEFANO ANTHONY is 40 months. This places the examiner in the 24% percentile for prosecution speed. Applications take longer to reach final disposition with this examiner compared to most others.
Conducting an examiner interview provides a +50.0% benefit to allowance rate for applications examined by DARDANO, STEFANO ANTHONY. This interview benefit is in the 93% percentile among all examiners. Recommendation: Interviews are highly effective with this examiner and should be strongly considered as a prosecution strategy. Per MPEP § 713.10, interviews are available at any time before the Notice of Allowance is mailed or jurisdiction transfers to the PTAB.
When applicants file an RCE with this examiner, 29.2% of applications are subsequently allowed. This success rate is in the 55% percentile among all examiners. Strategic Insight: RCEs show above-average effectiveness with this examiner. Consider whether your amendments or new arguments are strong enough to warrant an RCE versus filing a continuation.
This examiner enters after-final amendments leading to allowance in 14.3% of cases where such amendments are filed. This entry rate is in the 15% percentile among all examiners. Strategic Recommendation: This examiner rarely enters after-final amendments compared to other examiners. You should generally plan to file an RCE or appeal rather than relying on after-final amendment entry. Per MPEP § 714.12, primary examiners have discretion in entering after-final amendments, and this examiner exercises that discretion conservatively.
When applicants request a pre-appeal conference (PAC) with this examiner, 0.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 11% percentile among all examiners. Note: Pre-appeal conferences show limited success with this examiner compared to others. While still worth considering, be prepared to proceed with a full appeal brief if the PAC does not result in favorable action.
This examiner withdraws rejections or reopens prosecution in 100.0% of appeals filed. This is in the 91% percentile among all examiners. Strategic Insight: This examiner frequently reconsiders rejections during the appeal process compared to other examiners. Per MPEP § 1207.01, all appeals must go through a mandatory appeal conference. Filing a Notice of Appeal may prompt favorable reconsideration even before you file an Appeal Brief.
When applicants file petitions regarding this examiner's actions, 0.0% are granted (fully or in part). This grant rate is in the 3% percentile among all examiners. Strategic Note: Petitions are rarely granted regarding this examiner's actions compared to other examiners. Ensure you have a strong procedural basis before filing a petition, as the Technology Center Director typically upholds this examiner's decisions.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 21% percentile). This examiner rarely makes examiner's amendments compared to other examiners. You should expect to make all necessary claim amendments yourself through formal amendment practice.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 28% percentile). This examiner issues Quayle actions less often than average. Allowances may come directly without a separate action for formal matters.
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.