Kepler Vision Technologies B.V.
Held is read from USPTO's recorded assignments; a transfer never recorded there does not appear.
0
Ending by 2030
Jun 2036
Next term end
When these terms end
Held patents by the year their term ends
20262027202820292030203120322033203420352036203720382039204020412042204320442045
Fee deadlines
Maintenance fees fall due 3.5, 7.5 and 11.5 years after grant. A missed fee ends a patent at the end of the six month grace period that follows, not on the due date.
- 2 fees due Dec 20 to 27, 2026 · next Dec 20
- 1 fee due Aug 20, 2027The maintenance fee for Monitoring and analyzing body language with machine learning, using artificial intelligence systems for improving interaction between humans, and humans and robots (US 11,908,245) comes due Aug 20, 2027. Unpaid by Feb 22, 2028, it lapses early.
- 1 fee due Sep 30, 2027The maintenance fee for Deep receptive field networks (US 10,607,117) comes due Sep 30, 2027. Unpaid by Mar 31, 2028, it lapses early.
- 2 fees due Oct 16, 2027
Recent changes
- 1 of the patents on this record was granted since Aug 16, 2026
Patents held now
Soonest term end first. Each date below is computed on that patent's own page, which shows the rule, the adjustments and the fee history it was derived from.
| Patent | Title | Status | Expires | Confidence |
|---|---|---|---|---|
| US 10,607,117 | Deep receptive field networks In force · From the USPTO record | In force | From the USPTO record | |
| US 11,210,499 | Determining a social group to which customers belong from appearance and using artificial intelligence, machine learning, and computer vision, for estimating customer preferences and intent, and for improving customer services In force · From the USPTO record | In force | From the USPTO record | |
| US 12,079,698 | Method for categorizing a scene comprising a sub-scene with machine learning In force · Medium confidence | In force | Medium confidence | |
| US 12,694,342 | Method for Categorizing a Scene Comprising a Sub-Scene with Machine Learning In force · High confidence | In force | High confidence | |
| US 10,839,220 | Method for categorizing a scene comprising a sub-scene with machine learning In force · High confidence | In force | High confidence | |
| US 11,908,245 | Monitoring and analyzing body language with machine learning, using artificial intelligence systems for improving interaction between humans, and humans and robots In force · High confidence | In force | High confidence | |
| US 12,749,345 | Monitoring and Analyzing Body Language with Machine Learning, Using Artificial Intelligence Systems for Improving Interaction Between Humans, and Humans and Robots In force · Medium confidence | In force | Medium confidence | |
| US 11,961,320 | Method and system for automatically annotating and identifying a living being or an object with an identifier providing a subject identification In force · From the USPTO record | In force | From the USPTO record | |
| US 11,681,950 | Method for categorizing a scene comprising a sub-scene with machine learning In force · Medium confidence | In force | Medium confidence | |
| US 11,308,358 | Method and system for automatically annotating and identifying a living being or an object with an identifier providing a subject identification In force · From the USPTO record | In force | From the USPTO record |
Sources and methods
Compiled from the USPTO record, grants, published applications and recorded assignments, not yet reviewed by hand.
How this record was built
Computed patent terms end on the dates shown. Related patents and pending applications may cover overlapping subject matter.
Published applications
US patent applications published under this name that have not become patents. An application is published about eighteen months after its earliest filing; one that has not been published is in no public record.
2 pending · 2 no status recorded