Position Imaging, Inc.

Navico Holding As

Navico, Inc.

Shahzad Farooq Kirmani

Alex Seiger

Matthew Hunt

Edward L Hill

Jeremiah D Clark

Methods and systems for tracking an object comprise a horizontal surface upon which objects are to be placed, a weight sensor disposed on one side of the horizontal surface, and a processor in communication with the weight sensor. The processor is adapted to detect a change in weight measured by the weight sensor, to associate the detected weight change with an identified object and with a location on the horizontal surface, and to confirm whether a cause of the weight change at the location on the horizontal surface corresponds to a proper handling of the identified object.

System and method of object tracking using weight confirmation

Methods and systems for tracking an object comprise a horizontal surface upon which objects are to be placed, a weight sensor disposed on one side of the horizontal surface, and a processor in communication with the weight sensor. The processor is adapted to detect a change in weight measured by e weight sensor, to associate the detected weight change with an identified object and with a location on the horizontal surface, and to confirm whether a cause of the weight change at the location on the horizontal surface corresponds to a proper handling of the identified object.

A sonar system is provided including a display screen, a transducer assembly including at least one transducer that is configured to emit one or more sonar signals into an underwater environment and receive sonar return data reflected from one or more objects, and a sonar module configured to generate a 3D matrix based on the sonar return data including a plurality of sonar returns that are each defined by a 3D positional value, determine a group of the plurality of sonar returns associated with an object, assign a predetermined icon to the determined group, and generate and display 3D image of the sonar return data. The predetermined icon is positioned within the 3D image at a position that corresponds to the position of the determined group such that the position of the predetermined icon corresponds to the position of the object.

Presenting objects in a sonar image of an underwater environment

A shelving system has at least one shelf, a camera fixed at a distance from the at least one shelf such that a field of view of the camera faces the at least one shelf and closely encompasses the at least one shelf, and a controller in communication with the camera. The controller has a processor adapted to receive images captured by the camera within the camera's field of view and to determine from the images whether a particular object has been placed on, moved, or removed from the at least one shelf.

Modular shelving systems for package tracking

Methods, apparatuses, and computer program products are therefore provided for producing a 3D image of an underwater environment. An example method for providing an image of an underwater environment includes analyzing sonar returns to identify and display objects, such as fish or debris, in a 3D view. Such an image allows for differentiation between the sea floor and objects in a 3D sonar view. Some example methods provide for real-time tracking of fish. Further, the fish or other objects may be displayed over a continuous surface geometry based on sonar returns from a lake, sea, or river 'floor.'

Methods and apparatuses for constructing a 3D sonar image of objects in an underwater environment

Methods, apparatuses, and computer program products are provided for producing a 3D image of an underwater environment. 2D sonar return data that defines an angle and distance value may be taken from a theoretical 2D slice of the underwater environment. Multiple sets of 2D sonar return data are taken from corresponding 2D slices of the underwater environment during travel. The multiple sets of 2D sonar return data can be inputted into a 3D point cloud/matrix based on the distance value and angle and the corresponding 2D slice associated with each sonar return. The 3D point cloud/matrix can then be processed to determine a cluster of sonar returns that correspond to the bottom surface. Additional filtering may be performed and the bottom surface can be reconstructed to form a 3D image for display to a user.

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Scarborough, ME, United States of America

Shahzad Farooq Kirmani