Prosecution Insights
Prosecution Insights
5 pending office actions • 3 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 18 patents granted in the last 365 days
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 + other | 1 (20%) |
| §103 only | 3 (60%) |
| Double-patenting only | 1 (20%) |
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 |
|---|---|---|---|
| LI, TRACY Y | 1 | 80.5% | +16.7% |
| GAMMON, MATTHEW CHRISTOPHER | 1 | 67.6% | +21.5% |
| HONG, DUNG | 1 | 83.7% | +14.3% |
| SATTI, HUMAM M | 1 | 63.5% | +17.8% |
| CAI, PHUONG HAU | 1 | 78.3% | +24.1% |
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 |
|---|---|---|---|
| 19303938 | USING IMPLICIT EVENT GROUND TRUTH FOR VIDEO CAMERAS | LI, TRACY Y | — |
| 18920005 | MONITORING STANDING WATER AND DRAINAGE PROBLEMS | HONG, DUNG | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19024291 | ROBOT FLOORPLAN NAVIGATION | GAMMON, MATTHEW CHRISTOPHER | — |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18654391 | ADJUSTING AREAS OF INTEREST FOR MOTION DETECTION IN CAMERA SCENES | SATTI, HUMAM M | 34d |
| 19303938 | USING IMPLICIT EVENT GROUND TRUTH FOR VIDEO CAMERAS | LI, TRACY Y | — |
| 19024291 | ROBOT FLOORPLAN NAVIGATION | GAMMON, MATTHEW CHRISTOPHER | — |
| 18920005 | MONITORING STANDING WATER AND DRAINAGE PROBLEMS | HONG, DUNG | — |
| 18220330 | OBJECT EMBEDDING LEARNING | CAI, PHUONG HAU | — |
| Art Unit | Apps |
|---|---|
| 3657 | 1 |
| 2422 | 1 |
| 2673 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19303938 | USING IMPLICIT EVENT GROUND TRUTH FOR VIDEO CAMERAS | LI, TRACY Y | — | §103 | Non-Final OA | — | Pending | Aug 19, 2025 |
| 19024291 | ROBOT FLOORPLAN NAVIGATION | GAMMON, MATTHEW CHRISTOPHER | 3657 | §101§103§112 | Final Rejection | — | Pending | Jan 16, 2025 |
| 18920005 | MONITORING STANDING WATER AND DRAINAGE PROBLEMS | HONG, DUNG | — | DP | Non-Final OA | — | Pending | Oct 18, 2024 |
| 18654391 | ADJUSTING AREAS OF INTEREST FOR MOTION DETECTION IN CAMERA SCENES | SATTI, HUMAM M | 2422 | §103 | Non-Final OA | 34d | Pending | May 03, 2024 |
| 18220330 | OBJECT EMBEDDING LEARNING | CAI, PHUONG HAU | 2673 | §103 | Non-Final OA | — | Pending | Jul 11, 2023 |
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