Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for a wearable multimedia device and cloud computing platform with an application ecosystem for processing multimedia data captured by the wearable multimedia device. In an embodiment, a method comprises: receiving, by one or more processors of a cloud computing platform, context data from a wearable multimedia device, the wearable multimedia device including at least one data capture device for capturing the context data; creating a data processing pipeline with one or more applications based on one or more characteristics of the context data and a user request; processing the context data through the data processing pipeline; and sending output of the data processing pipeline to the wearable multimedia device or other device for presentation of the output.

Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for a wearable multimedia device and cloud computing platform with an application ecosystem for processing multimedia data captured by the wearable multimedia device. In an embodiment, a method comprises: receiving, by one or more processors of a cloud computing platform, context data from a wearable multimedia device, the wearable multimedia device including at least one data capture device for capturing the context data; creating a data processing pipeline with one or more applications based on one or more characteristics of the context data and a user request; processing the context data through the data processing pipeline; and sending output of the data processing pipeline to the wearable multimedia device or other device for presentation of the output.

Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for a wearable multimedia device and cloud computing platform with an application ecosystem for processing multimedia data captured by the wearable multimedia device. In an embodiment, a body-worn apparatus comprises: a camera; a depth sensor; a laser projection system; one or more processors; memory storing instructions that when executed by the one or more processors, cause the one or more processors to perform operations comprising: capturing, using the camera, a set of digital images; identifying an object in the set of digital images; capturing, using the depth sensor, depth data; identifying a gesture of a user wearing the apparatus in the depth data; associating the object with the gesture; obtaining data associated with the object; and projecting, using the laser projection system, a laser projection of the data on a surface.

Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for a wearable multimedia device and cloud computing platform with an application ecosystem for processing multimedia data captured by the wearable multimedia device. In an embodiment, a method comprises: receiving, by one or more processors of a cloud computing platform, context data from a wearable multimedia device, the wearable multimedia device including at least one data capture device for capturing the context data; creating a data processing pipeline with one or more applications based on one or more characteristics of the context data and a user request; processing the context data through the data processing pipeline; and sending output of the data processing pipeline to the wearable multimedia device or other device for presentation of the output.

Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for a wearable multimedia device and cloud computing platform with an application ecosystem for processing multimedia data captured by the wearable multimedia device. In an embodiment, a body-worn apparatus comprises: a camera; a depth sensor; a laser projection system; one or more processors; memory storing instructions that when executed by the one or more processors, cause the one or more processors to perform operations comprising: capturing, using the camera, a set of digital images; identifying an object in the set of digital images; capturing, using the depth sensor, depth data; identifying a gesture of a user wearing the apparatus in the depth data; associating the object with the gesture; obtaining data associated with the object; and projecting, using the laser projection system, a laser projection of the data on a surface.

Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for a wearable multimedia device and cloud computing platform with an application ecosystem for processing multimedia data captured by the wearable multimedia device. In an embodiment, a method comprises: receiving, by one or more processors of a cloud computing platform, context data from a wearable multimedia device, the wearable multimedia device including at least one data capture device for capturing the context data; creating a data processing pipeline with one or more applications based on one or more characteristics of the context data and a user request; processing the context data through the data processing pipeline; and sending output of the data processing pipeline to the wearable multimedia device or other device for presentation of the output.

Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for a wearable multimedia device and cloud computing platform with an application ecosystem for processing multimedia data captured by the wearable multimedia device. In an embodiment, a method comprises: receiving, by one or more processors of a cloud computing platform, context data from a wearable multimedia device, the wearable multimedia device including at least one data capture device for capturing the context data; creating a data processing pipeline with one or more applications based on one or more characteristics of the context data and a user request; processing the context data through the data processing pipeline; and sending output of the data processing pipeline to the wearable multimedia device or other device for presentation of the output.

Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for a wearable multimedia device and cloud computing platform with an application ecosystem for processing multimedia data captured by the wearable multimedia device. In an embodiment, a method comprises: receiving, by one or more processors of a cloud computing platform, context data from a wearable multimedia device, the wearable multimedia device including at least one data capture device for capturing the context data; creating a data processing pipeline with one or more applications based on one or more characteristics of the context data and a user request; processing the context data through the data processing pipeline; and sending output of the data processing pipeline to the wearable multimedia device or other device for presentation of the output.

Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for a wearable multimedia device and cloud computing platform with an application ecosystem for processing multimedia data captured by the wearable multimedia device. In an embodiment, a body-worn apparatus comprises: a camera; a depth sensor; a laser projection system; one or more processors; memory storing instructions that when executed by the one or more processors, cause the one or more processors to perform operations comprising: capturing, using the camera, a set of digital images; identifying an object in the set of digital images; capturing, using the depth sensor, depth data; identifying a gesture of a user wearing the apparatus in the depth data; associating the object with the gesture; obtaining data associated with the object; and projecting, using the laser projection system, a laser projection of the data on a surface.

Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for a wearable multimedia device and cloud computing platform with an application ecosystem for processing multimedia data captured by the wearable multimedia device. In an embodiment, a method comprises: receiving, by one or more processors of a cloud computing platform, context data from a wearable multimedia device, the wearable multimedia device including at least one data capture device for capturing the context data; creating a data processing pipeline with one or more applications based on one or more characteristics of the context data and a user request; processing the context data through the data processing pipeline; and sending output of the data processing pipeline to the wearable multimedia device or other device for presentation of the output.

Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for a wearable multimedia device and cloud computing platform with an application ecosystem for processing multimedia data captured by the wearable multimedia device. In an embodiment, a method comprises: receiving, by one or more processors of a cloud computing platform, context data from a wearable multimedia device, the wearable multimedia device including at least one data capture device for capturing the context data; creating a data processing pipeline with one or more applications based on one or more characteristics of the context data and a user request; processing the context data through the data processing pipeline; and sending output of the data processing pipeline to the wearable multimedia device or other device for presentation of the output.

Abstract: New 2xxx aluminum lithium alloys are disclosed. The aluminum alloys include 3.5-4.4 wt. % Cu, 0.45-0.75 wt. % Mg, 0.45-0.75 wt. % Zn, 0.65-1.15 wt. % Li, 0.1-1.0 wt. % Ag, 0.05-0.50 wt. % of at least one grain structure control element, up to 1.0 wt. % Mn, up to 0.15 wt. % Ti, up to 0.12 wt. % Si, up to 0.15 wt. % Fe, up to 0.10 wt. % of any other element, with the total of these other elements not exceeding 0.35 wt. %, the balance being aluminum.

Abstract: Systems and methods for tracking assets are disclosed, where such assets' data exists in disparate and independent asset data sources within and throughout an organization. Assets' data is first assembled and processed, related between asset data sources and to particular assets, and stored in a processed format that allows reporting and monitoring.

Abstract: New 2xxx aluminum lithium alloys are disclosed. The aluminum alloys include 3.5-4.4 wt. % Cu, 0.45-0.75 wt. % Mg, 0.45-0.75 wt. % Zn, 0.65-1.15 wt. % Li, 0.1-1.0 wt. % Ag, 0.05-0.50 wt. % of at least one grain structure control element, up to 1.0 wt. % Mn, up to 0.15 wt. % Ti, up to 0.12 wt. % Si, up to 0.15 wt. % Fe, up to 0.10 wt. % of any other element, with the total of these other elements not exceeding 0.35 wt. %, the balance being aluminum.