Abstract: A method for placing content in an augmented reality system. A notification is received regarding availability of new content to display in the augmented reality system. A confirmation is received that indicates acceptance of the new content. Three dimensional information that describes the physical environment is provided, to an external computing device, to enable the external computing device to be used for selecting an assigned location in the physical environment for the new content. Location information is received, from the external computing device, that indicates the assigned location. A display location on a display system of the augmented reality system at which to display the new content so that the new content appears to the user to be displayed as an overlay at the assigned location in the physical environment is determined, based on the location information. The new content is displayed on the display system at the display location.

Abstract: Systems and methods for automatically detecting, classifying, and processing objects captured in an images or videos are provided. In one embodiment, the system receives an image from an image source and detects one or more objects in the image. The system performs a high-level classification of the one or more objects in the image. The system performs a specific classification of the one or more objects, determines a price of the one or more objects, and generates a pricing report comprising a price of the one or more objects. In another embodiment, the system captures at least one image or video frame and classifies an object present in the image or video frame using a neural network. The system adds the classified object and an assigned object code to an inventory and processes the inventory to assign the classified object a price.

Abstract: Computer vision systems and methods for property scene understanding from digital images, videos, media and/or sensor information are provided. The system obtains media content indicative of an asset, performs feature segmentation and material recognition, performs object detection on the features, performs hazard detection to detect one or more safety hazards, and performs damage detection to detect any visible damage, to develop a better understanding of the property using one or more features in the media content. The system can output the feature segmentation and material detection, the hazard detection, the content feature detection, and the damage detection, and all other available models to an adjuster or other user on a user interface.

Abstract: Computer vision systems and methods for hazard detection from digital images and videos are provided. The system obtains media content indicative of an asset, preprocesses the media content, and extracts, based at least in part on one or more feature extractors, features from the preprocessed media content. The system determines, based at least in part on one or more classifiers, a value associated with a hazard, which can indicate the likelihood of a media content having the hazard. The system determines that the media content includes the hazard based at least in part on a comparison of the value to a threshold value. The system can generate a visual indication in the image indicative of the hazard.

Abstract: The present invention relates to a battery failure prediction method and system. The invention has particular application to the prediction of vehicle battery failure and will be described with particular reference to that application. However, the invention has more general application.

Abstract: The present invention relates to a battery failure prediction method and system. The invention has particular application to the prediction of vehicle battery failure and will be described with particular reference to that application. However, the invention has more general application.

Abstract: An oven range appliance including a chamber liner defining a cooking chamber, as well as a cabinet enclosing the chamber liner in cooking chamber, is provided. The cabinet includes a side panel positioned at a first side of the cabinet defining a cooling channel between the chamber liner and the side panel of the cabinet. A diverter panel is provided extending from the side panel towards the chamber liner. The diverter panel blocks a flow of cooling air from the cooling channel at a location proximate a back side of the cabinet to increase a flow of cooling air from the cooling channel at a location proximate the front side of the cabinet.

Abstract: An oven range appliance including a chamber liner defining a cooking chamber, as well as a cabinet enclosing the chamber liner in cooking chamber, is provided. The cabinet includes a side panel positioned at a first side of the cabinet defining a cooling channel between the chamber liner and the side panel of the cabinet. A diverter panel is provided extending from the side panel towards the chamber liner. The diverter panel blocks a flow of cooling air from the cooling channel at a location proximate a back side of the cabinet to increase a flow of cooling air from the cooling channel at a location proximate the front side of the cabinet.

Abstract: A system and method for monitoring a communications network having a plurality of wired communication cables is characterized by a central computer and a plurality of remote sensors connected with the cables at spaced locations for sampling data at the locations and providing an indication when a fault occurs. The central computer transmits measurement request signals to each remote sensor. In response to a request, the remote sensor samples data on the network at the unit location and sends a measurement of the sample to the central computer where the measurement is compared with baseline measurements for the location. If the measured data from the unit deviates from the baseline measurement, a fault is indicated.

Abstract: A system and method for monitoring a communications network having a plurality of wired communication cables is characterized by a central computer and a plurality of remote sensors connected with the cables at spaced locations for sampling data at the locations and providing an indication when a fault occurs. The central computer transmits measurement request signals to each remote sensor. In response to a request, the remote sensor samples data on the network at the unit location and sends a measurement of the sample to the central computer where the measurement is compared with baseline measurements for the location. If the measured data from the unit deviates from the baseline measurement, a fault is indicated.