A method and apparatus for adjusting drag on a trailing air vehicle flying behind a leading air vehicle
US-2017315564-A1 · Nov 2, 2017 · US
US12062228B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12062228-B2 |
| Application number | US-202318386410-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 2, 2023 |
| Priority date | Jun 16, 2022 |
| Publication date | Aug 13, 2024 |
| Grant date | Aug 13, 2024 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
Systems and methods of detecting a vortex made by a travelling object is disclosed. In some configurations, a graphic recognition algorithm and vortex similarity engine are used to determine whether a visual media file captured by a media collector contains a vortex. The vortex similarity engine may be configured to determine or identify certain properties about the travelling object based on the travelling object vortex. In some configurations, a computer may trigger an alert if a travelling object vortex is not expected to be in the visual media file.
Opening claim text (preview).
What is claimed is: 1. A system for determining properties about a travelling object; the system comprising: a visual media file database comprising a first visual media file depicting an image of a travelling object vortex made by the travelling object; a vortex similarity engine configured to determine certain properties about the travelling object based on graphic properties of the first visual media file; a travelling object identifier configured to identify the traveling object that generated travelling object vortex depicted in the image; and a graphics recognition algorithm configured to determine graphics data of the first visual media file. 2. The system of claim 1 comprising a confidence interval to indicate a probability that the vortex engine's determination of the certain properties about the travelling object are correct. 3. The system of claim 2 comprising a machine learning algorithm configured to improve accuracy of the travelling object identifier. 4. The system of claim 1 wherein the vortex similarity engine is configured to utilize the graphics recognition algorithm to identify a specific category of the travelling object that formed the travelling object vortex depicted in the visual media file. 5. The system of claim 1 comprising a category identifier configured to determine what category of travelling object made the travelling object vortex. 6. The system of claim 5 wherein categories of travelling objects are selected from the list consisting essentially of: fixed wing aircraft, rotorcraft, submerged watercraft, surface watercraft, ground vehicles, and drones. 7. The system of claim 5 wherein categories of travelling objects are based on propulsion type, engine type, size, weight, and production year. 8. The system of claim 1 comprising an alert generator configured to generate an alert when the travelling object identifier determines the travelling object matches a specific category. 9. The system of claim 1 comprising an alert generator configured to accept a user-specified category to program the alert generator to generate an alert when the vortex similarity engine identifies a travelling object matching the user-specified category. 10. The system of claim 1 comprising an alert generator configured to accept a user specified category to program the alert generator to generate an alert when the vortex similarity engine identifies a travelling object matching that the user specified category within a specified confidence interval. 11. The system of claim 1 comprising a type identifier configured to identify a specific type of the travelling object that formed the travelling object vortex depicted in the visual media file. 12. The system of claim 1 comprising an alert generator configured to accept a user-specified type to program the alert generator to generate an alert when the vortex similarity engine identifies a travelling object matching the user-specified type. 13. The system of claim 1 comprising a class identifier configured to identify a specific class of the travelling object that formed the travelling object vortex depicted in the visual media file. 14. The system of claim 1 comprising an alert generator configured to accept a user-specified class to program the alert generator to generate an alert when the vortex similarity engine identifies a travelling object matching the user-specified class. 15. The system of claim 1 comprising a manufacturer identifier configured to identify a specific manufacturer of the travelling object that formed the travelling object vortex depicted in the visual media file. 16. The system of claim 1 comprising an alert generator configured to accept a user-specified manufacturer to program the alert generator to generate an alert when the vortex similarity engine identifies a travelling object matching the user-specified manufacturer. 17. The system of claim 1 comprising a model identifier configured to identify a specific model of the travelling object that formed the travelling object vortex depicted in the visual media file. 18. The system of claim 1 comprising an alert generator configured to accept a user-specified model to program the alert generator to generate an alert when the vortex similarity engine identifies a travelling object matching the user-specified model. 19. The system of claim 1 comprises a unit identifier configured to determine a specific unit of a model line of a travelling object by analyzing a travelling object vortex depicted in a visual media file.
Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69) · CPC title
Proximity, similarity or dissimilarity measures · CPC title
Detecting or categorising vehicles · CPC title
taken from planes or by drones · CPC title
Validation; Performance evaluation · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.