Vehicle information photo overlay
US-10818042-B1 · Oct 27, 2020 · US
US12223563B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12223563-B2 |
| Application number | US-202217935717-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 27, 2022 |
| Priority date | Sep 27, 2022 |
| Publication date | Feb 11, 2025 |
| Grant date | Feb 11, 2025 |
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Systems and methods for dynamically generating artwork from vehicle sensor data are disclosed. In one embodiment, a method of generating an artwork includes receiving vehicle sensor data from a vehicle, inputting the vehicle sensor data into a trained model, and generating, by the trained model, the artwork based at least in part on the vehicle sensor data.
Opening claim text (preview).
The invention claimed is: 1. A method of generating an artwork comprising: receiving vehicle sensor data from a vehicle; receiving user preference data; inputting the vehicle sensor data and the user preference data into a trained model; generating, by the trained model, the artwork based at least in part on the vehicle sensor data and the user preference data; and generating a non-fungible token from the artwork. 2. The method of claim 1 , further comprising inputting external data into the trained model, wherein the artwork is further based at least in part on the external data. 3. The method of claim 2 , wherein the external data comprises at least one of location data, temporal data, weather data and race result data. 4. The method of claim 2 , wherein the artwork depicts a lighting corresponding to one or more of the external data and the vehicle sensor data. 5. The method of claim 1 , wherein the vehicle sensor data comprises at least one of speed data, acceleration data and camera data. 6. The method of claim 1 , wherein the artwork includes one or more vehicle performance attributes derived from the vehicle sensor data. 7. The method of claim 1 , further comprising applying a filter to the artwork. 8. The method of claim 1 , wherein the trained model is a generative adversarial network. 9. The method of claim 1 , wherein the user preference data includes an artwork style. 10. A system for generating an artwork comprising: one or more processors: a non-transitory computer-readable medium storing instructions that, when executed by the one or more processors, cause the one or more processors to: receive vehicle sensor data from a vehicle; receive user preference data; input the vehicle sensor data and the user preference data into a trained model; generate, by the trained model, the artwork based at least in part on the vehicle sensor data and the user preference data; and generating a non-fungible token from the artwork. 11. The system of claim 10 , wherein the instructions further cause the one or more processors to input external data into the trained model, wherein the artwork is further based at least in part on the external data. 12. The system of claim 11 , wherein the external data comprises at least one of location data, temporal data, weather data and race result data. 13. The system of claim 11 , wherein the artwork depicts a lighting corresponding to one or more of the external data and the vehicle sensor data. 14. The system of claim 10 , wherein the vehicle sensor data comprises at least one of speed data, acceleration data and camera data. 15. The system of claim 10 , wherein the artwork includes one or more vehicle performance attributes derived from the vehicle sensor data. 16. The system of claim 10 , wherein the instructions further cause the one or more processors to apply a filter to the artwork. 17. The system of claim 10 , wherein the user preference data includes an artwork style. 18. A computer-implement method of generating an artwork comprising: receiving vehicle sensor data from a vehicle; receiving external data; inputting the vehicle sensor data, external data, and user preferences into a trained model; generating, by the trained model, the artwork based at least in part on the vehicle sensor data, wherein the artwork depicts a lighting corresponding to one or more of the external data and the vehicle sensor data; and generating a non-fungible token from the artwork.
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