A communication system and method are provided to conduct waterway searches for the detection and identification of objects and the generation of law enforcement agency alerts and pre-approved external agency notifications. A water body surveillance apparatus, under control of a law enforcement agency, surveys above and below a water surface to detect objects and collect data pertaining to the detected objects. The communication system identifies the detected object and generates an alert to the law enforcement agency identifying the object. A notification is sent to pre-approved external agencies based on object type. The pre-approved external agencies may include other law enforcement agencies different from the law enforcement agency and non-law enforcement agencies, such as pre-approved insurance agencies, and vehicle repossession companies, environmental agencies.

A communication system and method are provided to conduct waterway searches for the detection and identification of objects and the generation of law enforcement agency alerts and pre-approved external agency notifications. A water body surveillance apparatus, under control of a law enforcement agency, surveys above and below a water surface to detect objects and collect data pertaining to the detected objects. The communication system identifies the detected object and generates an alert to the law enforcement agency identifying the object. A notification is sent to pre-approved external agencies based on object type. The pre-approved external agencies may include other law enforcement agencies different from the law enforcement agency and non-law enforcement agencies, such as pre-approved insurance agencies, and vehicle repossession companies, environmental agencies.

The present disclosure provides an automatic berthing image ranging system for vessels and operation method thereof, the method comprising: obtaining a reference image around a position in which a vessel is located, the reference image comprises a first pattern and at least two second patterns; the reference image is projected to a reference plane to generate projection coordinates corresponding to the first pattern and the at least two patterns; determining a positional relationship between the vessel and a port by a predetermined distance, and the positional relationship is represented by an angle value.

The present disclosure provides an automatic berthing image ranging system for vessels and operation method thereof, the method comprising: obtaining a reference image around a position in which a vessel is located, the reference image comprises a first pattern and at least two second patterns; the reference image is projected to a reference plane to generate projection coordinates corresponding to the first pattern and the at least two patterns; determining a positional relationship between the vessel and a port by a predetermined distance, and the positional relationship is represented by an angle value.

An image capture device may include a touchscreen display, which may be used to receive user input. The image capture device may determine whether it is under water based on analysis of visual content captured by the image capture device. Responsive to determination that it is under water, the image capture device may change operation with respect to the touchscreen display.

This disclosure is directed to initiating adjustment of an operation associated with an underwater drilling system, which may include receiving at least one underwater image; identifying the reference object in the at least one underwater image, wherein a position of the reference object is fixed relative to an underwater borehole or an underwater cloud; determining a first parameter associated with the reference object; identifying the underwater cloud in the at least one underwater image; determining a second parameter associated with the underwater cloud; adjusting the second parameter associated with the underwater cloud based on the first parameter associated with the reference object; and initiating an adjustment of the operation associated with the underwater drilling system based on the adjusted second parameter associated with the underwater cloud.

This disclosure is directed to initiating adjustment of an operation associated with an underwater drilling system, which may include receiving at least one underwater image; identifying the reference object in the at least one underwater image, wherein a position of the reference object is fixed relative to an underwater borehole or an underwater cloud; determining a first parameter associated with the reference object; identifying the underwater cloud in the at least one underwater image; determining a second parameter associated with the underwater cloud; adjusting the second parameter associated with the underwater cloud based on the first parameter associated with the reference object; and initiating an adjustment of the operation associated with the underwater drilling system based on the adjusted second parameter associated with the underwater cloud.

Image analysis includes obtaining, from an image signal processor, image processing information corresponding to a previously processed image, obtaining scene classification information for an input image based on the image processing information, generating a processed image by processing the input image based on the scene classification information, and outputting the processed image. The image processing information includes automatic white balance correction information and obtaining the scene classification information includes obtaining the scene classification information based on the automatic white balance correction information.

The invention discloses a depth estimation and color correction method for monocular underwater images based on deep neural network, which belongs to the field of image processing and computer vision. The framework consists of two parts: style transfer subnetwork and task subnetwork. The style transfer subnetwork is constructed based on generative adversarial network, which is used to transfer the apparent information of underwater images to land images and obtain abundant and effective synthetic labeled data, while the task subnetwork combines the underwater depth estimation and color correction tasks with the stack network structure, carries out collaborative learning to improve their respective accuracies, and reduces the gap between the synthetic underwater image and the real underwater image through the domain adaptation strategy, so as to improve the network's ability to process the real underwater image.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for sorting fish in aquaculture. In some implementations, one or more images are obtained of a particular fish within a population of fish. Based on the one or more images of the fish, a data element is determined. The data element can include a first value that reflects a physical characteristic of the particular fish, and a second value that reflects a condition factor of the particular fish. Based on the data element, the fish is classified as a member of a particular subpopulation of the population of fish. An actuator of an automated fish sorter is controlled based on classifying the particular fish as a member of the particular subpopulation of the population of fish.