Techniques for positioning speakers within a venue
AssigneeHarman International Industries, Incorporated
InventorsSambuddha Saha, Vipul Sharma, George Georgallis
Life of this patent
Estimating the term…
Abstract
Various embodiments set forth techniques for positioning speakers within a venue. The techniques include generating, via a machine learning model, at least one of a two-dimensional (2D) representation or a three-dimensional (3D) representation of a venue based on one or more images of the venue. The techniques further include determining one or more parameters associated with one or more speakers to be placed within the venue based on the at least one of the 2D representation or the 3D representation.
Claims23
A computer-implemented method for positioning one or more physical speakers within a venue, the method comprising:
- generating, via a machine learning model, at least one of a two-dimensional (2D) representation or a three-dimensional (3D) representation of a venue based on one or more images of the venue captured from a position on a stage in the venue showing one or more audience seating areas of the venue, the 2D representation or the 3D representation comprising a plurality of lines associated with a plurality of slopes, the plurality of lines representing the one or more audience seating areas of the venue;
- determining, via at least one computing device, a head line based on the plurality of lines, the plurality of slopes, and an average height parameter associated with members of an audience;
- and
- determining, via one or more models, one or more parameters for placing one or more physical speakers within the venue based on the head line and at least one of the 2D representation or the 3D representation.
One or more non-transitory computer-readable storage media including instructions that, when executed by one or more processing units, cause the one or more processing units to position one or more physical speakers within a venue, by performing the steps of:
- generating, via a machine learning model, at least one of a two-dimensional (2D) representation or a three-dimensional (3D) representation of a venue based on one or more images of the venue captured from a position on a stage in the venue showing one or more audience seating areas of the venue, the 2D representation or the 3D representation comprising a plurality of lines associated with a plurality of slopes, the plurality of lines representing the one or more audience seating areas of the venue;
- determining, via at least one computing device, a head line based on the plurality of lines, the plurality of slopes, and an average height parameter associated with members of an audience;
- and
- determining, via one or more models, one or more parameters for placing one or more physical speakers within the venue based on the head line and at least one of the 2D representation or the 3D representation.
A system, comprising:
- one or more memories that include instructions;
- and
- one or more processors that are coupled to the one or more memories and, when executing the instructions:
- generate, via a machine learning model, at least one of a two-dimensional (2D) representation or a three-dimensional (3D) representation of a venue based on one or more images of the venue captured from a position on a stage in the venue showing one or more audience seating areas of the venue, the 2D representation or the 3D representation comprising a plurality of lines associated with a plurality of slopes, the plurality of lines representing the one or more audience seating areas of the venue;
- determine, via at least one computing device, a head line based on the plurality of lines, the plurality of slopes, and an average height parameter associated with members of an audience;
- and
- determine, via one or more models, one or more parameters for placing one or more physical speakers within the venue based on the head line and at least one of the 2D representation or the 3D representation.
Dependencies are inferred from the claim text.