Technology areas: Communications • Semiconductors, Circuits & Optics • Transportation, E-Commerce & Mechanical Systems
7 pending office actions • 7 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 25 patents granted in the last 365 days
Fluke Corporation has 7 pending office actions in Semiconductors, Circuits & Optics. Each matter is assigned to a distinct examiner and a distinct art unit, producing seven separate examination relationships across the portfolio.
HON, MING Y is the busiest examiner, with 1 pending matter. Since responsibility is fully distributed, counsel should emphasize centralized docket control and consistent treatment of recurring technology, while preparing claim amendments and arguments for each examiner and art unit. The separate assignments make matter-specific prior-art analysis essential.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 1 (14%) |
| §101 + other | 1 (14%) |
| §103 only | 2 (29%) |
| §102 only | 1 (14%) |
| Multi-statute (no §101) | 2 (29%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| HON, MING Y | 1 | 82.5% | +12.9% |
| ZHANG, WAYNE | 1 | 59.3% | +43.3% |
| BARRON, JEREMIAH JOHN | 1 | 79.4% | +3.6% |
| HA, NGUYEN Q | 1 | 80.5% | +4.1% |
| HARRISON, MICHAEL A | 1 | 89.0% | +2.5% |
| GARFT, CHRISTOPHER | 1 | 59.0% | +23.2% |
| NELSON, FREDA ANN | 1 | 42.8% | +7.7% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19029986 | IMPLEMENTING MACHINE-LEARNED MODELS DURING IMAGE ANALYSIS TO EVALUATE TEMPERATURES OF OBJECTS ASSOCIATED WITH A STRUCTURE | HON, MING Y | — |
| 18912006 | SYSTEM AND METHOD FOR GENERATING PANORAMIC ACOUSTIC IMAGES AND VIRTUALIZING ACOUSTIC IMAGING DEVICES BY SEGMENTATION | HA, NGUYEN Q | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18790839 | Implementing Machine-Learned Models to Perform a Construction Project Associated with a Structure | NELSON, FREDA ANN | 38d overdue |
| 19005588 | WALLBOARD DEFECT DETECTION VIA MACHINE LEARNING | ZHANG, WAYNE | — |
| 18949667 | MULTIPLE OUTPUT INSTRUMENT CALIBRATOR | BARRON, JEREMIAH JOHN | — |
| 18821535 | MEASUREMENT DEVICE HAVING LIMIT GAUGES | HARRISON, MICHAEL A | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19029986 | IMPLEMENTING MACHINE-LEARNED MODELS DURING IMAGE ANALYSIS TO EVALUATE TEMPERATURES OF OBJECTS ASSOCIATED WITH A STRUCTURE | HON, MING Y | — |
| 19005588 | WALLBOARD DEFECT DETECTION VIA MACHINE LEARNING | ZHANG, WAYNE | — |
| 18791902 | HOLDER AND METHOD FOR HOLDING AN OBJECT | GARFT, CHRISTOPHER | — |
| Art Unit | Apps |
|---|---|
| 2666 | 1 |
| 2672 | 1 |
| 2858 | 1 |
| 2853 | 1 |
| 2852 | 1 |
| 3632 | 1 |
| 3628 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19029986 | IMPLEMENTING MACHINE-LEARNED MODELS DURING IMAGE ANALYSIS TO EVALUATE TEMPERATURES OF OBJECTS ASSOCIATED WITH A STRUCTURE | HON, MING Y | 2666 | §103 | Non-Final OA | — | Pending | Jan 17, 2025 |
| 19005588 | WALLBOARD DEFECT DETECTION VIA MACHINE LEARNING | ZHANG, WAYNE | 2672 | §101§102§103§112 | Non-Final OA | — | Pending | Dec 30, 2024 |
| 18949667 | MULTIPLE OUTPUT INSTRUMENT CALIBRATOR | BARRON, JEREMIAH JOHN | 2858 | §102§103 | Non-Final OA | — | Pending | Nov 15, 2024 |
| 18912006 | SYSTEM AND METHOD FOR GENERATING PANORAMIC ACOUSTIC IMAGES AND VIRTUALIZING ACOUSTIC IMAGING DEVICES BY SEGMENTATION | HA, NGUYEN Q | 2853 | §102 | Non-Final OA | — | Pending | Oct 10, 2024 |
| 18821535 | MEASUREMENT DEVICE HAVING LIMIT GAUGES | HARRISON, MICHAEL A | 2852 | §102§103 | Final Rejection | — | Pending | Aug 30, 2024 |
| 18791902 | HOLDER AND METHOD FOR HOLDING AN OBJECT | GARFT, CHRISTOPHER | 3632 | §103 | Non-Final OA | — | Pending | Aug 01, 2024 |
| 18790839 | Implementing Machine-Learned Models to Perform a Construction Project Associated with a Structure | NELSON, FREDA ANN | 3628 | §101 | Final Rejection | 38d overdue | Pending | Jul 31, 2024 |
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Start Free TrialFluke Corporation has 7 pending office actions as of October 2026, spread across 7 art units and 7 examiners.
Ming Y Hon has the most, with 1 of Fluke Corporation's pending office actions.
Mostly Semiconductors, Circuits & Optics (USPTO Tech Center 2800), based on where its pending office actions are examined.
