A marine sonar display device comprises a display, a memory element, and a processing element. The display displays sonar images. The memory element stores sonar data. The processing element is configured to transmit a transmit electronic signal to a frequency steered sonar element which transmits an array of sonar beams into a body of water, each sonar beam transmitted in a different angular direction, receive a receive electronic signal from the frequency steered sonar element, the receive electronic signal including a plurality of frequency components, calculate an array of sonar data slices, one sonar data slice for each frequency component, generate an array of sonar image slices, one sonar image slice for each sonar data slice, and control the display to visually present the array of sonar image slices in near real time and a historical sequence of at least one sonar image slice.

Monitoring method and system to monitor the underwater traffic of an area of interest where at least one underwater element is going to operate. The system comprises: a memory, which is configured to store data comprising a representation of the area of interest, and a list of a plurality of types of underwater elements with the relative digital model; a detection unit to detect the position and the orientation of each underwater element present inside said area of interest; a processing unit, which is configured to determine, based on the stored data and on the detection of said detection unit, the type of each underwater element present inside the area of interest, and to generate, based on said data, a representation of the area of interest showing the static obstacles, and the digital model, the position and the orientation of each underwater element present inside said area of interest; and a user interface to display said representation of the area of interest.

Monitoring method and system to monitor the underwater traffic of an area of interest where at least one underwater element is going to operate. The system comprises: a memory, which is configured to store data comprising a representation of the area of interest, and a list of a plurality of types of underwater elements with the relative digital model; a detection unit to detect the position and the orientation of each underwater element present inside said area of interest; a processing unit, which is configured to determine, based on the stored data and on the detection of said detection unit, the type of each underwater element present inside the area of interest, and to generate, based on said data, a representation of the area of interest showing the static obstacles, and the digital model, the position and the orientation of each underwater element present inside said area of interest; and a user interface to display said representation of the area of interest.

An acoustic imaging system includes a controller. The controller may be configured to receive a signal from a microphone and reverberation channel data, update latent variables, latent labels, a source amplitude, and a phase estimation based on an optimization of the signal and reverberation channel data to obtain updated latent variables, updated latent labels, an updated source amplitude, and an updated phase estimation, generate, via a conditional generative adversarial network (cGAN) of the updated latent variables and the updated latent labels, an acoustic source map tuned via the updated source amplitude and the updated phase estimation, optimize the acoustic source map, and output the optimized acoustic source map.

An acoustic imaging system includes a controller. The controller may be configured to receive a signal from a microphone and reverberation channel data, update latent variables, latent labels, a source amplitude, and a phase estimation based on an optimization of the signal and reverberation channel data to obtain updated latent variables, updated latent labels, an updated source amplitude, and an updated phase estimation, generate, via a conditional generative adversarial network (cGAN) of the updated latent variables and the updated latent labels, an acoustic source map tuned via the updated source amplitude and the updated phase estimation, optimize the acoustic source map, and output the optimized acoustic source map.

A deep finger ultrasonic sensor device includes an array of ultrasonic transducers and an array controller configured to control activation of ultrasonic transducers of the array of ultrasonic transducers during an imaging operation for capturing a depth image of a finger, where the depth image includes a plurality of features inside the finger. The array controller is configured to control transmission of ultrasonic signals and receipt of reflected ultrasonic signals during the imaging operation, where the reflected ultrasonic signals are utilized in generating the depth image of the finger.

A system for generating live sonar images is provided having a first and second sonar transducer assembly. The sonar transducer assemblies each have sonar transducer elements configured to transmit sonar beam(s) into an underwater environment to form respective coverage volumes. The sonar transducer assemblies each define a respective facing direction. The system includes bracket(s) having alignment feature(s). The bracket(s) are configured to mount the sonar transducer assemblies to a watercraft, and the alignment feature(s) are configured to position the sonar transducer assemblies so that the facing directions are different and relative to each other so as to create continuous coverage of the underwater environment. Continuous coverage has an overall coverage volume that is greater than either of the coverage volumes individually. Sonar return data from the sonar transducer elements is used to form a live sonar image representative of sonar returns received from the overall coverage volume.

The medical imaging apparatus of the present invention includes a bath tank for accommodating a test subject, the test subject being at least a portion of a body of a human subject; a measurement device movable in a predetermined direction, the measurement device including ab group of elements to emit a radiation wave into the bath tank and receive a scattered radiation wave; and a control unit for measuring by the measurement device when at least one of a location of the test subject within a plane orthogonal to the predetermined direction, a location of the test subject in the predetermined direction, and continuity of data measured by the measurement device satisfies a predetermined condition. Because of this configuration, the medical imaging apparatus is able to acquire data covering the entire measurement target site.

In one implementation, a method includes: obtaining a first depth estimation characterizing a distance between the device and a surface in a real-world environment, wherein the first depth estimation is derived from image data including a representation of the surface; receiving, using the audio transceiver, an acoustic reflection of an acoustic wave, wherein the acoustic wave is transmitted in a known direction relative to the device; and determining a second depth estimation based on the acoustic reflection, wherein the second depth estimation characterizes the distance between the device and the surface in the real-world environment; and determining a confirmed depth estimation characterizing the distance between the device and the surface based on resolving any mismatch between the first depth estimation and the second depth estimation.

In one implementation, a method includes: obtaining a first depth estimation characterizing a distance between the device and a surface in a real-world environment, wherein the first depth estimation is derived from image data including a representation of the surface; receiving, using the audio transceiver, an acoustic reflection of an acoustic wave, wherein the acoustic wave is transmitted in a known direction relative to the device; and determining a second depth estimation based on the acoustic reflection, wherein the second depth estimation characterizes the distance between the device and the surface in the real-world environment; and determining a confirmed depth estimation characterizing the distance between the device and the surface based on resolving any mismatch between the first depth estimation and the second depth estimation.