Abstract: A platform and components for an automated consumer retail utility marketplace are provided, including components for machine learning, components for gamification, and components for supporting a related consumer mobile application that enables improved visibility and control by a consumer over its interaction with energy markets.

Abstract: A sensor kit and associated method configured for monitoring an industrial setting is disclosed. The sensor kit can include an edge device and a plurality of sensors that capture sensor data and transmit the sensor data via a self-configuring sensor kit network. At least one sensor can capture sensor measurements and output instances of sensor data, generate and output reporting packets, and transmit the reporting packets to the edge device via the self-configuring sensor kit network in accordance with a first communication protocol. The edge device receives reporting packets from the plurality of sensors via the self-configuring sensor kit network, generates a data block based on the sensor data, and transmits the data block to one or more node computing devices that collectively store a distributed ledger that is comprised of a plurality of data blocks.

Abstract: According to some embodiments of the disclosure, a method is disclosed. The method includes receiving, by a processing device of an in-ear device, an audio signal from one or more microphones of the in-ear device. The method further includes extracting, by the processing device, one or more features of the audio signal and generating, by the processing device, an in-ear data object based on the one or more features. The method also includes publishing, by the processing device, the in-ear data object to an external system via a network.

Abstract: According to some embodiments of the disclosure, a method is disclosed. The method includes receiving, by a processing device of an in-ear device, an audio signal from one or more microphones of the in-ear device. The method further includes extracting, by the processing device, one or more features of the audio signal and generating, by the processing device, an in-ear data object based on the one or more features. The method also includes publishing, by the processing device, the in-ear data object to an external system via a network.

Abstract: A platform and components for an automated consumer retail utility marketplace are provided, including components for machine learning, components for gamification, and components for supporting a related consumer mobile application that enables improved visibility and control by a consumer over its interaction with energy markets.

Abstract: A method for monitoring an industrial setting using a sensor kit having a plurality of sensors and an edge device including a processing system can include receiving, by the processing system, reporting packets from one or more respective sensors of the plurality of sensors, wherein each reporting packet includes routing data and one or more instances of sensor data; generating, by the processing system, a block of media content frames, wherein each media content frame includes a plurality of frame values, each frame value being indicative of a respective instance of sensor data; compressing, by the processing system, the block of media content frames using a media codec to obtain a compressed block; generating, by the processing system, one or more server kit packets based on the compressed block; and transmitting, by the processing system, the one or more server kit packets to a backend system via a public network.

Abstract: A sensor kit that is configured for monitoring an industrial setting includes an edge device and a plurality of sensors that capture sensor data and transmit the sensor data via a self-configuring sensor kit network. At least one sensor can capture sensor measurements and output instances of sensor data, generate and output reporting packets, and transmit the reporting packets to the edge device via the self-configuring sensor kit network in accordance with a first communication protocol. The edge device receives reporting packets from the plurality of sensors via the self-configuring sensor kit network and transmits sensor kit packets to a backend system via a public network, wherein the sensor kit packets are based on a compressed block of media content frames indicative of the sensor data.

Abstract: A method for monitoring an underwater industrial setting using a sensor kit having a plurality of sensors and an edge device can include receiving, by an edge processing system of the edge device, reporting packets from the plurality of sensors via a self-configuring sensor kit network. Each reporting packet can include routing data and one or more instances of sensor data. The method can further include performing one or more edge operations on the sensor data and generating one or more sensor kit packets based on the edge operations. The method can include transmitting the sensor kit packets to a backend system via a public network.

Abstract: A system can include a backend system and a sensor kit configured to monitor an industrial setting. The sensor kit can include an edge device and a plurality of sensors that capture sensor data and transmit the sensor data via a self-configuring sensor kit network. At least one sensor can capture sensor measurements and output instances of sensor data, generate and output reporting packets, and transmit the reporting packets to the edge device via the self-configuring sensor kit network in accordance with a first communication protocol. The edge device receives reporting packets from the plurality of sensors via the self-configuring sensor kit network and transmits sensor kit packets to the backend system via a public network. The backend system can include a processing system and a storage system, where the processing system performs backend operations on the sensor data and the storage systems stores the sensor data.

Abstract: A system and associated method configured for monitoring an industrial setting is disclosed. The sensor kit can include an edge device and a plurality of sensors that capture sensor data and transmit the sensor data via a self-configuring sensor kit network. At least one sensor can capture sensor measurements and output instances of sensor data, generate and output reporting packets, and transmit the reporting packets to the edge device via the self-configuring sensor kit network in accordance with a first communication protocol. The edge device receives reporting packets from the plurality of sensors via the self-configuring sensor kit network, generates a data block based on the sensor data, and transmits the data block to one or more node computing devices that collectively store a distributed ledger that is comprised of a plurality of data blocks.

Abstract: Systems and associated methods for monitoring an industrial setting using sensor kits in communication with a backend system via a communication gateway are disclosed. Each sensor kit can have a set of sensors that are registered to respective industrial settings and configured to monitor physical characteristics of the industrial settings. The communication gateway can communicate instances of sensor values from the sensor kits to a backend system. The backend system can process the instances of sensor values to monitor the industrial setting, wherein upon receiving registration data for a sensor kit to an industrial setting, the backend system automatically configures and populates a dashboard for an owner or operator of the industrial setting, wherein the dashboard provides monitoring information that is based on the instances of sensor values for the industrial setting.

Abstract: A variety of kits are provided that are configured with components, systems and methods for monitoring various industrial settings, including kits with self-configuring sensor networks, communication gateways, and automatically configured back end systems.

Abstract: A variety of kits are provided that are configured with components, systems and methods for monitoring various industrial settings, including kits with self-configuring sensor networks, communication gateways, and automatically configured back end systems.

Abstract: A variety of kits are provided that are configured with components, systems and methods for monitoring various industrial settings, including kits with self-configuring sensor networks, communication gateways, and automatically configured back end systems.

Abstract: A variety of kits are provided that are configured with components, systems and methods for monitoring various industrial settings, including kits with self-configuring sensor networks, communication gateways, and automatically configured back end systems.

Abstract: This disclosure concerns an interactive head-mounted eyepiece with an integrated processor for handling content for display and an integrated image source for introducing the content to an optical assembly through which the user views a surrounding environment and the displayed content, wherein the eyepiece includes event and user action control of external applications.

Abstract: The present disclosure includes a method for receiving, by the processing system, reporting packets from one or more respective sensors of the plurality of sensors. Each reporting packet is sent from a respective sensor and indicates sensor data captured by the respective sensor; performing, by the processing system, one or more edge operations on one or more instances of sensor data received in the reporting packets. Generating one or more sensor kit packets based on the instances of sensor data. Each sensor kit packet includes at least one instance of sensor data. Outputting the sensor kit packets to the data handling platform. Receiving the sensor kit packets from the edge device. Generating the digital twin of said industrial setting including a digital replica of at least one industrial component of said industrial setting and being at least partially based on the sensor kit packets.

Abstract: Transportation systems have artificial intelligence including neural networks for recognition and classification of objects and behavior including natural language processing and computer vision systems. The transportation systems involve sets of complex chemical processes, mechanical systems, and interactions with behaviors of operators. System-level interactions and behaviors are classified, predicted and optimized using neural networks and other artificial intelligence systems through selective deployment, as well as hybrids and combinations of the artificial intelligence systems, neural networks, expert systems, cognitive systems, genetic algorithms and deep learning.

Abstract: Transportation systems have artificial intelligence including neural networks for recognition and classification of objects and behavior including natural language processing and computer vision systems. The transportation systems involve sets of complex chemical processes, mechanical systems, and interactions with behaviors of operators. System-level interactions and behaviors are classified, predicted and optimized using neural networks and other artificial intelligence systems through selective deployment, as well as hybrids and combinations of the artificial intelligence systems, neural networks, expert systems, cognitive systems, genetic algorithms and deep learning.

Abstract: Transportation systems have artificial intelligence including neural networks for recognition and classification of objects and behavior including natural language processing and computer vision systems. The transportation systems involve sets of complex chemical processes, mechanical systems, and interactions with behaviors of operators. System-level interactions and behaviors are classified, predicted and optimized using neural networks and other artificial intelligence systems through selective deployment, as well as hybrids and combinations of the artificial intelligence systems, neural networks, expert systems, cognitive systems, genetic algorithms and deep learning.