Abstract: In a method for facilitating creation of a map of a real-world, process control environment, locations of a mobile device are tracked as a user moves through a mapped environment. A camera of the mobile device captures images of the mapped environment as the user moves through the mapped environment, and the user indicates an intention to add a node to the map. One or more images of the captured images are provided to a machine learning (ML) model, and the ML model is trained to process images to recognize object types. The ML model may predict an object type corresponding to a specific object within a field of view of the camera. A display of the mobile device may then superimpose, on a real-world view presented to the user, an indication of the predicted object type to facilitate user designation of a descriptor for the new node.

Abstract: Apparatus and methods for content fragmentation, distribution, protection, and re-constitution within a content distribution network. In one embodiment, the apparatus and methods enable distribution of content fragments to edge nodes (which may include user or subscriber CPE), thereby enabling edge networks or membership groups to be established wherein content can be shared solely at the edge. In one variant, high data bandwidth, symmetric uplink/downlink, low latency PHY links (e.g., 5G NR-compliant wireless interfaces) between the edge nodes participating in the edge networks or membership groups are used such that particular quality of service/experience performance requirements can be met. Distribution of the fragments also advantageously enhances redundancy and security.

Abstract: Apparatus and methods for content fragmentation, distribution, protection, and re-constitution within a content distribution network. In one embodiment, the apparatus and methods enable distribution of content fragments to edge nodes (which may include user or subscriber CPE), thereby enabling edge networks or membership groups to be established wherein content can be shared solely at the edge. In one variant, high data bandwidth, symmetric uplink/downlink, low latency PHY links (e.g., 5G NR-compliant wireless interfaces) between the edge nodes participating in the edge networks or membership groups are used such that particular quality of service/experience performance requirements can be met. Distribution of the fragments also advantageously enhances redundancy and security.

Abstract: Apparatus and methods for displaying data in an immersive environment wherein sensor (e.g., IoT sensor) data is aggregated via a gateway and various different types of air interfaces depending on application and location (e.g., LoRa, Wi-Fi, 5G NR, C-band, 60 GHz, CBRS, etc.), aggregated at a cloud service, processed through an analytics platform, and transmitted to a UI platform for display on a user interface. One implementation of displaying the sensor data comprises overlaying the sensor data in virtual reality in an immersive video wherein the video is a live stream from a 360-degree 8K camera. A user may interact with the overlaid sensor data within the user interface in a virtual environment to change settings to a desired degree. Artificial intelligence and machine learning may automatically suggest actions to the user or change settings based on sensor data.

Abstract: Apparatus and methods for displaying data in an immersive environment wherein sensor (e.g., IoT sensor) data is aggregated via a gateway and various different types of air interfaces depending on application and location (e.g., LoRa, Wi-Fi, 5G NR, C-band, 60 GHz, CBRS, etc.), aggregated at a cloud service, processed through an analytics platform, and transmitted to a UI platform for display on a user interface. One implementation of displaying the sensor data comprises overlaying the sensor data in virtual reality in an immersive video wherein the video is a live stream from a 360-degree 8K camera. A user may interact with the overlaid sensor data within the user interface in a virtual environment to change settings to a desired degree. Artificial intelligence and machine learning may automatically suggest actions to the user or change settings based on sensor data.

Abstract: In a method for facilitating creation of a map of a real-world, process control environment, locations of a mobile device are tracked as a user moves through a mapped environment. A camera of the mobile device captures images of the mapped environment as the user moves through the mapped environment, and the user indicates an intention to add a node to the map. One or more images of the captured images are provided to a machine learning (ML) model, and the ML model is trained to process images to recognize object types. The ML model may predict an object type corresponding to a specific object within a field of view of the camera. A display of the mobile device may then superimpose, on a real-world view presented to the user, an indication of the predicted object type to facilitate user designation of a descriptor for the new node.

Abstract: In a method for increasing accuracy of augmented reality information presented to a user navigating a real-world mapped environment, a specific object within a field of view of a camera of the user's mobile device is identified, at least by predicting an object type by a machine learning model processing images captured by the camera, and identifying a node that corresponds to the object type within a map database representing the mapped environment. A location associated with the node is retrieved from the map database, and is used to update or confirm one or more estimated locations of the mobile device. Digital information is caused to be superimposed on a real-world view presented to the user via a display of the mobile device, the digital information being selected based at least in part on the updated or confirmed one or more estimated locations of the mobile device.

Abstract: Apparatus and methods for content fragmentation, distribution, protection, and re-constitution within a content distribution network. In one embodiment, the apparatus and methods enable distribution of content fragments to edge nodes (which may include user or subscriber CPE), thereby enabling edge networks or membership groups to be established wherein content can be shared solely at the edge. In one variant, high data bandwidth, symmetric uplink/downlink, low latency PHY links (e.g., 5G NR-compliant wireless interfaces) between the edge nodes participating in the edge networks or membership groups are used such that particular quality of service/experience performance requirements can be met. Distribution of the fragments also advantageously enhances redundancy and security.

Abstract: Apparatus and methods for content fragmentation, distribution, protection, and re-constitution within a content distribution network. In one embodiment, the apparatus and methods enable distribution of content fragments to edge nodes (which may include user or subscriber CPE), thereby enabling edge networks or membership groups to be established wherein content can be shared solely at the edge. In one variant, high data bandwidth, symmetric uplink/downlink, low latency PHY links (e.g., 5G NR-compliant wireless interfaces) between the edge nodes participating in the edge networks or membership groups are used such that particular quality of service/experience performance requirements can be met. Distribution of the fragments also advantageously enhances redundancy and security.

Abstract: Apparatus and methods for displaying data in an immersive environment wherein sensor (e.g., IoT sensor) data is aggregated via a gateway and various different types of air interfaces depending on application and location (e.g., LoRa, Wi-Fi, 5G NR, C-band, 60 GHz, CBRS, etc.), aggregated at a cloud service, processed through an analytics platform, and transmitted to a UI platform for display on a user interface. One implementation of displaying the sensor data comprises overlaying the sensor data in virtual reality in an immersive video wherein the video is a live stream from a 360-degree 8K camera. A user may interact with the overlaid sensor data within the user interface in a virtual environment to change settings to a desired degree. Artificial intelligence and machine learning may automatically suggest actions to the user or change settings based on sensor data.

Abstract: In a method for increasing accuracy of augmented reality information presented to a user navigating a real-world mapped environment, a specific object within a field of view of a camera of the user's mobile device is identified, at least by predicting an object type by a machine learning model processing images captured by the camera, and identifying a node that corresponds to the object type within a map database representing the mapped environment. A location associated with the node is retrieved from the map database, and is used to update or confirm one or more estimated locations of the mobile device. Digital information is caused to be superimposed on a real-world view presented to the user via a display of the mobile device, the digital information being selected based at least in part on the updated or confirmed one or more estimated locations of the mobile device.

Abstract: Apparatus and methods for content fragmentation, distribution, protection, and re-constitution within a content distribution network. In one embodiment, the apparatus and methods enable distribution of content fragments to edge nodes (which may include user or subscriber CPE), thereby enabling edge networks or membership groups to be established wherein content can be shared solely at the edge. In one variant, high data bandwidth, symmetric uplink/downlink, low latency PHY links (e.g., 5G NR-compliant wireless interfaces) between the edge nodes participating in the edge networks or membership groups are used such that particular quality of service/experience performance requirements can be met. Distribution of the fragments also advantageously enhances redundancy and security.