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US 2026/0170826 A1Published application
Automated detection of features and/or parameters within an ocean environment using image data
AssigneeSurfline\Wavetrak, Inc.
InventorBenjamin FREESTON
Life of this patent
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Abstract
Automated detection of features and/or parameters within an ocean environment using image data. In an embodiment, captured image data is received from ocean-facing camera(s) that are positioned to capture a region of an ocean environment. Feature(s) are identified within the captured image data, and parameter(s) are measured based on the identified feature(s). Then, when a request for data is received from a user system, the requested data is generated based on the parameter(s) and sent to the user system.
Claims20
A system comprising:
- at least one hardware processor;
- and
- at least one non-transitory computer-readable medium storing instructions that, when executed by the at least one hardware processor, cause the at least one hardware processor to:
- receive image data of a water environment, captured by one or more cameras facing the water environment, the image data comprising a first plurality of sequential images, each of the first plurality of sequential images having a timestamp;
- analyze the image data to identify an individual engaging in a recreational activity within the image data using an object-detection engine;
- track the individual within the image data as the individual engages in the recreational activity in the water environment;
- generate a video of the individual engaging in the recreational activity, wherein the video comprises a first time period corresponding to a timestamp of a first image in the plurality of sequential images and a timestamp of a second image in the plurality of sequential images;
- and
- push the video to one or more user systems via at least one network.
6 more elements
A method comprising using at least one hardware processor to:
- receive image data of a water environment in real time, captured by one or more cameras facing the water environment, the image data comprising a first plurality of sequential images, each of the first plurality of sequential images having a timestamp;
- analyze the image data to identify an individual engaging in a recreational activity within the image data using an object-detection engine;
- track the individual within the image data as the individual engages in the recreational activity in the water environment;
- generate a video of the individual engaging in the recreational activity, wherein the video comprises a first time period corresponding to a timestamp of a first image in the plurality of sequential images and a timestamp of a second image in the plurality of sequential images;
- and
- push the video to one or more user systems via at least one network.
3 more elements
Dependencies are inferred from the claim text.