Abstract: A method and system for advanced flare analytics in a flare operation monitoring and control system is disclosed that contains a data acquisition and augmentation mechanism whereby data is aquired through a plant network including images of the flare operations from single or multi-camera hubs. A machine learning-based self-adaptive industrial automation system process the images and data and assigns pixels to the images according to categories selected from smoke, flame and steam. The results of the analysis are displayed and a notice is issued when the percentage of pixles in a specific category falls outside a predeterminmed range.

Abstract: An augmented-reality head-mounted display is configured to display an indication of a location of an unmanned aerial vehicle with respect to the field-of-view of the head-mounted display, in order to assist a UAV operator to maintain line-of-sight with the UAV.

Abstract: An augmented-reality head-mounted display is configured to display an indication of a location of an unmanned aerial vehicle with respect to the field-of-view of the head-mounted display, in order to assist a UAV operator to maintain line-of-sight with the UAV.

Abstract: A method and system for advanced flare analytics in a flare operation monitoring and control system is disclosed that contains a data acquisition and augmentation mechanism whereby data is aquired through a plant network including images of the flare operations from single or multi-camera hubs. A machine learning-based self-adaptive industrial automation system process the images and data and assigns pixels to the images according to categories selected from smoke, flame and steam. The results of the analysis are displayed and a notice is issued when the percentage of pixles in a specific category falls outside a predeterminmed range.

Abstract: A method of supplementing high design assurance level system information for an aircraft is provided. The method includes dynamically gathering low design assurance level information from the internet with a communication system based on a requests by a cockpit browser. The low design assurance level information is parsed with the high design assurance level information with a parser of the cockpit browser to generate combined assurance level information. The combined assurance level information is displayed on a display.

Abstract: Methods and systems are provided for displaying information on a heads up display (HUD). A background image is captured with a camera. A plurality of regions of the background image are analyzed to determine a region-wise image attribute for each of the plurality of regions. A symbology having a symbology attribute is generated and overlaid on an overlay region of the background image to generate a heads up display image. The overlay region is one of the plurality of regions of the background image. The symbology attribute is adjusted based on the region-wise image attribute of the overlay region to generate an adjusted heads up display image. The adjusted heads up display image is displayed on the HUD.

Abstract: Methods and systems are provided for displaying information on a heads up display (HUD). A background image is captured with a camera. A plurality of regions of the background image are analyzed to determine a region-wise image attribute for each of the plurality of regions. A symbology having a symbology attribute is generated and overlaid on an overlay region of the background image to generate a heads up display image. The overlay region is one of the plurality of regions of the background image. The symbology attribute is adjusted based on the region-wise image attribute of the overlay region to generate an adjusted heads up display image. The adjusted heads up display image is displayed on the HUD.