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.

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.

A wearable digital video camera (10) is equipped with wireless connection protocol and global navigation and location positioning system technology to provide remote image acquisition control and viewing. The Bluetooth® packet-based open wireless technology standard protocol (400) is preferred for use in providing control signals or streaming data to the digital video camera and for accessing image content stored on or streaming from the digital video camera. The GPS technology (402) is preferred for use in tracking of the location of the digital video camera as it records image information. A rotating mount (300) with a locking member (330) on the camera housing (22) allows adjustment of the pointing angle of the wearable digital video camera when it is attached to a mounting surface.

A wearable digital video camera (10) is equipped with wireless connection protocol and global navigation and location positioning system technology to provide remote image acquisition control and viewing. The Bluetooth® packet-based open wireless technology standard protocol (400) is preferred for use in providing control signals or streaming data to the digital video camera and for accessing image content stored on or streaming from the digital video camera. The GPS technology (402) is preferred for use in tracking of the location of the digital video camera as it records image information. A rotating mount (300) with a locking member (330) on the camera housing (22) allows adjustment of the pointing angle of the wearable digital video camera when it is attached to a mounting surface.

Systems and methods are provided for weapon system monitoring, historical usage analysis, and performance evaluation of a plurality of assets within a deployment location, where each asset of the plurality includes one or more sensors that record operational information of each asset and are used to produce at least one signal, including a server device running application software that uses the signal received from each asset to detect and store situational state data of each asset and performance level data of a party associated with each asset, and a machine learning system that uses the situational state data and the performance level data to determine an operational profile of the party.

Systems and methods are provided for weapon system monitoring, historical usage analysis, and performance evaluation of a plurality of assets within a deployment location, where each asset of the plurality includes one or more sensors that record operational information of each asset and are used to produce at least one signal, including a server device running application software that uses the signal received from each asset to detect and store situational state data of each asset and performance level data of a party associated with each asset, and a machine learning system that uses the situational state data and the performance level data to determine an operational profile of the party.

Provided herein is a system on a vehicle, the system comprising one or more sensors, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform: receiving one or more ride requests for ridesharing from one or more users; receiving respective preferences from each of the one or more users; selecting a ride request of a user from the one or more ride requests based on the respective preferences; notifying the user of the selecting of the ride request; sending at least one of the images or videos of the interior of the vehicle to the user; in response to the sending, determining whether the user confirms the ride request; and in response to determining that the user confirms the ride request, selecting a route to the user and driving, according to the route, to the user.

Provided herein is a system on a vehicle, the system comprising one or more sensors, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform: receiving one or more ride requests for ridesharing from one or more users; receiving respective preferences from each of the one or more users; selecting a ride request of a user from the one or more ride requests based on the respective preferences; notifying the user of the selecting of the ride request; sending at least one of the images or videos of the interior of the vehicle to the user; in response to the sending, determining whether the user confirms the ride request; and in response to determining that the user confirms the ride request, selecting a route to the user and driving, according to the route, to the user.

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.

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.