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.
Abstract: Automated detection of environmental measures within an ocean environment using image data. In a machine-learning phase, image data of an ocean environment are received. In addition, ocean sensor data that represent environmental measure(s) of the ocean environment, collected by ocean sensor(s) contemporaneously with the image data, are received. A predictive model is trained to emulate the ocean sensor(s) based on the image data. Subsequently, in an operational phase, image data is received from ocean-facing camera(s) that capture image data of the ocean environment. The predictive model is used to identify feature(s) within the image data and estimate the environmental measure(s) of the ocean environment based on the identified feature(s). The estimated environmental measure(s) may then be used to generate data in response to user requests.
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.