Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19242011 | Activity-Based Person Identification Using Biometric Disentanglement | June 2025 | October 2025 | Allow | 4 | 0 | 1 | No | No |
| 19206128 | INTELLIGENT IDENTIFICATION METHOD AND SYSTEM FOR CREEPING LANDSLIDE HAZARDS BASED ON WRAPPED INTERFEROGRAMS | May 2025 | October 2025 | Allow | 5 | 1 | 0 | No | No |
| 19185713 | IMAGE RECOGNITION METHOD, DEVICE, ELECTRONIC DEVICE, AND STORAGE MEDIUM | April 2025 | August 2025 | Allow | 4 | 1 | 0 | No | No |
| 19103653 | RELEVANCE FACTOR VARIATION AUTOENCODER ARCHITECTURE FOR ANALYZING COGNITIVE DRAWING TESTS | February 2025 | September 2025 | Allow | 7 | 1 | 0 | Yes | No |
| 19044857 | POST-PROCESSING UNIT FOR NEURAL PROCESSING UNIT | February 2025 | February 2026 | Allow | 12 | 2 | 0 | No | No |
| 19026529 | INTELLIGENT FUSION AND PROCESSING METHOD FOR REMOTE SENSING PRODUCTS FOR WATER QUALITY MONITORING OF ESTUARIES AND BAYS | January 2025 | August 2025 | Allow | 7 | 1 | 0 | No | No |
| 19025418 | SMALL TARGET DETECTION METHOD BASED ON IMPROVED YOLOv8 | January 2025 | October 2025 | Allow | 9 | 2 | 0 | No | No |
| 18862292 | ASYNCHRONOUSLY UPDATING OBJECT DETECTIONS WITHIN A VIDEO STREAM | November 2024 | March 2025 | Allow | 5 | 0 | 0 | No | No |
| 18888670 | Microscopy System and Associated Methods | September 2024 | May 2025 | Allow | 8 | 1 | 0 | No | No |
| 18785841 | COMMODITY IMAGE INFORMATION ACQUISITION SYSTEM, METHOD AND APPARATUS | July 2024 | March 2025 | Allow | 7 | 1 | 0 | No | No |
| 18744440 | MACHINE-LEARNING-BASED DETECTION OF FAKE VIDEOS | June 2024 | May 2025 | Allow | 11 | 2 | 0 | Yes | No |
| 18674711 | SYSTEMS, METHODS, AND DEVICES FOR IMAGE-BASED PLAQUE ANALYSIS AND RISK DETERMINATION | May 2024 | April 2025 | Allow | 11 | 2 | 0 | No | No |
| 18653425 | SYSTEMS AND METHODS FOR SIGNAL DIGITIZATION | May 2024 | March 2025 | Allow | 10 | 1 | 0 | No | No |
| 18639695 | BEHAVIOR RECOGNITION METHOD AND DEVICE USING DEEP LEARNING | April 2024 | November 2025 | Allow | 19 | 0 | 0 | No | No |
| 18605847 | METHOD FOR IN-SITU MONITORING OF FULL CYCLE OF SPATTER FORMATION, EJECTION, AND FALLING IN LASER ADDITIVE MANUFACTURING | March 2024 | November 2024 | Allow | 8 | 2 | 0 | No | No |
| 18601971 | Image rotation | March 2024 | August 2025 | Allow | 17 | 2 | 0 | Yes | No |
| 18595099 | APPARATUS AND SYSTEM FOR EDGE TUNING | March 2024 | November 2024 | Allow | 8 | 1 | 0 | Yes | No |
| 18421825 | DETECTING AND MONITORING UNAUTHORIZED USES OF VISUAL CONTENT | January 2024 | December 2024 | Allow | 10 | 2 | 0 | Yes | No |
| 18528434 | SYSTEMS AND METHODS FOR IDENTIFYING SUBSURFACE HYDROGEN ACCUMULATION | December 2023 | August 2024 | Allow | 9 | 2 | 0 | Yes | No |
| 18492351 | METHOD AND SYSTEM FOR VISUALIZATION OF HEART TISSUE AT RISK | October 2023 | November 2025 | Allow | 24 | 2 | 0 | No | No |
| 18483427 | INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD | October 2023 | January 2026 | Allow | 28 | 1 | 0 | Yes | No |
| 18370758 | SYSTEM AND METHOD FOR PROPERTY TYPICALITY DETERMINATION | September 2023 | November 2025 | Allow | 26 | 1 | 0 | No | No |
| 18244840 | FILTERING METHOD AND APPARATUS, COMPUTER-READABLE MEDIUM | September 2023 | December 2025 | Allow | 27 | 1 | 0 | Yes | No |
| 18356461 | AUTOMATIC IMAGE VARIETY SIMULATION FOR IMPROVED DEEP LEARNING PERFORMANCE | July 2023 | November 2025 | Allow | 28 | 0 | 0 | No | No |
| 18341664 | Child Seat Detection for a Seat Occupancy Classification System | June 2023 | December 2025 | Allow | 30 | 1 | 0 | No | No |
| 18039479 | METHOD AND SYSTEM FOR OPTIMIZING CONVOLUTIONAL RESIDUAL STRUCTURE OF NEURAL NETWORK, DEVICE, AND MEDIUM | May 2023 | July 2025 | Allow | 26 | 1 | 0 | No | No |
| 18200822 | METHOD AND DEVICE FOR HEADING ESTIMATION | May 2023 | December 2025 | Abandon | 31 | 3 | 0 | Yes | No |
| 18188618 | TEACHER DATA COLLECTING METHOD AND COLLECTING DEVICE | March 2023 | November 2025 | Allow | 32 | 1 | 0 | Yes | No |
| 18188565 | System and Method for Communications Beam Recovery | March 2023 | December 2025 | Allow | 33 | 2 | 0 | Yes | No |
| 18165358 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM | February 2023 | August 2025 | Allow | 30 | 1 | 0 | No | No |
| 18019450 | METHOD AND SYSTEM OF MULTIPLE FACIAL ATTRIBUTES RECOGNITION USING HIGHLY EFFICIENT NEURAL NETWORKS | February 2023 | October 2025 | Allow | 32 | 1 | 0 | No | No |
| 18162498 | TRAINING METHOD | January 2023 | September 2025 | Allow | 32 | 1 | 0 | Yes | No |
| 18082930 | FACE VERIFICATION METHOD AND APPARATUS | December 2022 | September 2025 | Allow | 33 | 1 | 0 | No | No |
| 18058884 | CROSS DOMAIN SEGMENTATION WITH UNCERTAINTY-GUIDED CURRICULUM LEARNING | November 2022 | July 2025 | Allow | 31 | 2 | 0 | No | No |
| 18053348 | SYSTEMS AND METHODS FOR IMAGE RECONSTRUCTION | November 2022 | November 2025 | Allow | 36 | 1 | 0 | No | No |
| 17960303 | METHODS AND SYSTEMS FOR AUTOMATED THREE-DIMENSIONAL OBJECT DETECTION AND EXTRACTION | October 2022 | June 2025 | Allow | 33 | 3 | 0 | No | No |
| 17947576 | METHODS AND SYSTEMS FOR AUTOMATED TABLE DETECTION WITHIN DOCUMENTS | September 2022 | February 2025 | Abandon | 29 | 2 | 0 | No | Yes |
| 17871536 | METHODS AND SYSTEMS FOR DETERMINING BUILDING INTERNAL FRAMEWORK FROM EXTERNAL IMAGERY | July 2022 | April 2025 | Allow | 33 | 1 | 0 | No | No |
| 17855763 | METHODS AND APPARATUS TO PERFORM DENSE PREDICTION USING TRANSFORMER BLOCKS | June 2022 | February 2026 | Allow | 43 | 3 | 0 | Yes | No |
| 17829228 | PREDICTING TOTAL NUCLEIC ACID YIELD AND DISSECTION BOUNDARIES FOR HISTOLOGY SLIDES | May 2022 | January 2024 | Allow | 19 | 1 | 0 | No | No |
| 17658924 | IMAGE ANALYSIS SYSTEM FOR IDENTIFYING LUNG FEATURES | April 2022 | February 2026 | Allow | 46 | 3 | 0 | No | Yes |
| 17684191 | DETERMINING BIOMARKERS FROM HISTOPATHOLOGY SLIDE IMAGES | March 2022 | August 2025 | Allow | 42 | 2 | 0 | Yes | No |
| 17574139 | SEQUENCE STABILIZATION OF 3D POINT CLOUD FRAMES USING MOTION INFORMATION | January 2022 | July 2025 | Allow | 42 | 2 | 0 | No | No |
| 17573491 | IMAGE PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM | January 2022 | January 2025 | Allow | 36 | 1 | 0 | No | No |
| 17616544 | HIGHLIGHT RECOVERY FOR IMAGE PROCESSING PIPELINE | December 2021 | October 2024 | Allow | 34 | 1 | 0 | No | No |
| 17454029 | DEVICE FOR DETECTING AN OBJECT USING FEATURE TRANSFORMATION AND METHOD THEREOF | November 2021 | August 2024 | Allow | 33 | 1 | 0 | No | No |
| 17604647 | METHOD FOR DETECTING GLASS-CERAMIC MATERIALS | October 2021 | November 2024 | Allow | 37 | 2 | 0 | No | No |
| 17485736 | CHROMA CORRECTION OF INVERSE GAMUT MAPPING FOR STANDARD DYNAMIC RANGE TO HIGH DYNAMIC RANGE IMAGE CONVERSION | September 2021 | March 2025 | Allow | 42 | 3 | 0 | Yes | No |
| 17485349 | METHODS AND APPARATUS TO PERFORM DENSE PREDICTION USING TRANSFORMER BLOCKS | September 2021 | April 2025 | Allow | 43 | 3 | 0 | Yes | No |
| 17593337 | METHOD FOR CHARACTERIZING AND IDENTIFYING SUBSTANCES | September 2021 | June 2025 | Allow | 45 | 2 | 1 | No | No |
| 17471940 | MACHINE LEARNING TECHNIQUES TO CREATE HIGHER RESOLUTION COMPRESSED DATA STRUCTURES REPRESENTING TEXTURES FROM LOWER RESOLUTION COMPRESSED DATA STRUCTURES AND TRAINING THEREFOR | September 2021 | February 2026 | Allow | 53 | 2 | 0 | No | Yes |
| 17433084 | DEVICE AND METHOD FOR INSPECTING A HAIR SAMPLE | August 2021 | September 2025 | Allow | 48 | 2 | 1 | No | No |
| 17402312 | METHODS AND SYSTEMS FOR OBTAINING IMAGE DATA OF A VEHICLE FOR AUTOMATIC DAMAGE ASSESSMENT | August 2021 | October 2024 | Allow | 38 | 4 | 0 | Yes | No |
| 17413759 | LEARNED MODEL GENERATION METHOD, LEARNED MODEL, SURFACE DEFECT INSPECTION METHOD, STEEL MANUFACTURING METHOD, PASS/FAIL DETERMINATION METHOD, GRADE DETERMINATION METHOD, SURFACE DEFECT DETERMINATION PROGRAM, PASS/FAIL DETERMINATION PROGRAM, DETERMINATION SYSTEM, AND STEEL MANUFACTURING EQUIPMENT | June 2021 | January 2025 | Allow | 43 | 2 | 1 | Yes | No |
| 17312204 | EXTRACTION AND COMPARISON OF ACTUAL AND TARGET SURFACE ATTRIBUTE VALUES | June 2021 | March 2025 | Abandon | 45 | 2 | 1 | Yes | No |
| 17319028 | METHOD FOR LOCATING IMAGE REGION, MODEL TRAINING METHOD, AND RELATED APPARATUS | May 2021 | October 2024 | Allow | 41 | 2 | 0 | No | No |
| 17233807 | WORKFLOW MANAGEMENT FOR LABELING THE SUBJECT ANATOMY | April 2021 | April 2025 | Allow | 48 | 5 | 0 | No | No |
| 17217799 | MODEL BASED DYNAMIC POSITIONAL CORRECTION FOR DIGITAL LITHOGRAPHY TOOLS | March 2021 | April 2025 | Allow | 49 | 4 | 0 | Yes | No |
| 17277966 | ENCODING DEVICE, ENCODING METHOD, AND DECODING DEVICE | March 2021 | December 2024 | Abandon | 45 | 2 | 0 | Yes | No |
| 17250432 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD | January 2021 | October 2024 | Abandon | 45 | 2 | 0 | No | No |
| 16359754 | NEW AUTONOMOUS ELECTRO-OPTICAL SYSTEM TO MONITOR IN REAL-TIME THE FULL SPATIAL MOTION (ROTATION AND DISPLACEMENT) OF CIVIL STRUCTURES | March 2019 | July 2025 | Allow | 60 | 8 | 1 | No | No |
| 16018328 | System and Method for Generating High-Resolution Stereo Image and Depth Map | June 2018 | January 2020 | Allow | 18 | 1 | 0 | No | No |
| 15777725 | DEVICE AND METHOD FOR CONTROLLING ANTENNA ELEMENTS OF AN ANTENNA ARRAY | May 2018 | April 2019 | Allow | 11 | 2 | 0 | No | No |
| 15883526 | Method for Beam Training in Multiuser Scenario and Apparatus | January 2018 | February 2019 | Allow | 12 | 1 | 0 | No | No |
| 15745034 | Image Processing Method and Electronic Device | January 2018 | January 2020 | Allow | 24 | 1 | 0 | No | No |
| 15868374 | SYSTEMS AND METHODS FOR GENERATING THREE DIMENSIONAL SKELETON REPRESENTATIONS | January 2018 | November 2019 | Allow | 22 | 1 | 0 | Yes | No |
| 15529077 | METHOD AND DEVICE FOR EFFICIENT PRECODER SEARCH | May 2017 | November 2018 | Allow | 18 | 1 | 1 | Yes | No |
| 13255902 | DATA JUDGMENT/PHASE COMPARISON CIRCUIT | January 2012 | March 2013 | Allow | 19 | 1 | 0 | Yes | No |
| 12666777 | METHOD OF TRANSMITTING OF DATA AND CONFIGURING A CODEBOOK IN MULTI ANTENNA SYSTEM | November 2010 | July 2013 | Allow | 42 | 1 | 0 | Yes | No |
| 12842503 | METHOD FOR PROCESSING RECEIVED SIGNAL BY APPLYING CHANNEL STATUS INFORMATION BASED ON ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING | July 2010 | January 2013 | Allow | 30 | 1 | 0 | No | No |
| 12408226 | MULTI-ANTENNA WIRELESS COMMUNICATIONS METHOD AND APPARATUS WITH VECTOR PERTURBATION WITH A REDUCED LATTICE | March 2009 | August 2012 | Allow | 40 | 2 | 0 | Yes | No |
| 12406868 | SYSTEMS AND METHODS FOR APPROXIMATING LOG LIKELIHOOD RATIOS IN A COMMUNICATION SYSTEM | March 2009 | February 2014 | Allow | 59 | 3 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner VARNDELL, ROSS E.
With a 100.0% reversal rate, the PTAB has reversed the examiner's rejections more often than affirming them. This reversal rate is in the top 25% across the USPTO, indicating that appeals are more successful here than in most other areas.
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, 100.0% 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.
✓ Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner VARNDELL, ROSS E works in Art Unit 2674 and has examined 28 patent applications in our dataset. With an allowance rate of 89.3%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 42 months.
Examiner VARNDELL, ROSS E's allowance rate of 89.3% places them in the 71% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.
On average, applications examined by VARNDELL, ROSS E receive 2.21 office actions before reaching final disposition. This places the examiner in the 61% 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 VARNDELL, ROSS E is 42 months. This places the examiner in the 19% percentile for prosecution speed. Applications take longer to reach final disposition with this examiner compared to most others.
Conducting an examiner interview provides a -10.4% benefit to allowance rate for applications examined by VARNDELL, ROSS E. This interview benefit is in the 3% percentile among all examiners. Note: Interviews show limited statistical benefit with this examiner compared to others, though they may still be valuable for clarifying issues.
When applicants file an RCE with this examiner, 34.4% of applications are subsequently allowed. This success rate is in the 76% percentile among all examiners. Strategic Insight: RCEs are highly effective with this examiner compared to others. If you receive a final rejection, filing an RCE with substantive amendments or arguments has a strong likelihood of success.
This examiner enters after-final amendments leading to allowance in 22.2% of cases where such amendments are filed. This entry rate is in the 29% percentile among all examiners. Strategic Recommendation: This examiner shows below-average receptiveness to after-final amendments. You may need to file an RCE or appeal rather than relying on after-final amendment entry.
This examiner withdraws rejections or reopens prosecution in 50.0% of appeals filed. This is in the 17% percentile among all examiners. Strategic Insight: This examiner rarely withdraws rejections during the appeal process compared to other examiners. If you file an appeal, be prepared to fully prosecute it to a PTAB decision. Per MPEP § 1207, the examiner will prepare an Examiner's Answer maintaining the rejections.
When applicants file petitions regarding this examiner's actions, 0.0% are granted (fully or in part). This grant rate is in the 4% 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 3.6% of allowed cases (in the 82% percentile). Per MPEP § 1302.04, examiner's amendments are used to place applications in condition for allowance when only minor changes are needed. This examiner frequently uses this tool compared to other examiners, indicating a cooperative approach to getting applications allowed. Strategic Insight: If you are close to allowance but minor claim amendments are needed, this examiner may be willing to make an examiner's amendment rather than requiring another round of prosecution.
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.