Abstract: Systems and methods that can automatically generate synthetic videos depicting alternative scenarios that may be consistent with recorded video. Systems and methods leverage machine learning systems that can generate synthetic video information using autoencoders and generative adversarial networks that have been trained on previous video data. Systems and methods further include a scenario dashboard that allows users of the system to select recorded videos and other settings that serve as inputs, or constraints, on the synthetically generated videos.

Abstract: A user score of a test for assessing a risk of a user of having or developing a contagious illness may be obtained, for each user of a plurality of users entering in a group setting. A group score based on the user scores associated with the plurality of users in the group setting may be generated. The group score indicating a group risk of a presence or development of the contagious illness in the group setting may be communicated for display. Group scores associated with a plurality of group settings may be obtained and communicated for display. A message may be communicated to a mobile user device indicating a group setting as a current high risk group setting, being associated with a score that is outside a limit set by a threshold value and with a location in proximity to a current location of the mobile user device.

Abstract: The present embodiments relate to automatic claim value generation. Particularly, the present embodiments include retrieving information from various sources and processing the data to derive an overview of damage to vehicles incurred during a vehicle accident, deriving an estimated value (or “cost”) to rectify the damage, and a client-specific claim value to be presented to the client representing a value to rectify the damage based on a policy corresponding to the client. The present embodiments provide an automated (or “touchless”) claim value payout system to provide a claim value specific to the client and the accident incurred by the client that is performed by a computing device without intervention by an operator.

Abstract: Insurance and warranty cataloging, detection and evaluation techniques are described for a micro insurance or warranty system. An example method for an insurance or warranty system includes receiving, at a server, an error code from a device of a user, processing the error code to extract sensor data related to one or more failed components of the device, determining the one or more failed components is covered within an insurance policy or warranty based on the sensor data, and issuing an insurance claim or warranty claim based on the one or more failed components being covered. In some embodiments, the micro insurance or warranty system includes analyzing the sensor data to determine the cause of the one or more failed components.

Abstract: A system and method facilitate interactive collaboration using an extended reality (XR) environment. The XR environment provides an electronic whiteboard to users of the XR environment. The XR environment provides an electronic notepad to the first user at a device of the first user. The XR environment receives a note of the electronic notepad from the first user, then receives an input to detach the note from the electronic notepad and to attach the note to the electronic whiteboard. Finally, the XR environment provides a view of the note on the electronic whiteboard to the second user.

Abstract: A memory storing processor executable instructions, and a processor configured to execute the processor executable instructions, wherein execution of the processor executable instructions causes the processor to perform operations including receiving image data from an image sensor configured to acquire images in a home, identifying objects in the image data, accessing one or more databases storing risk data associated with the objects in the image data, and, in response to risk data of a particular object in the image data exceeding a threshold, sending, to a device, a notification comprising an indication of the particular object as a high-risk object.

Abstract: A smart glasses system includes smart glasses configured to be worn by an individual. The smart glasses include a display and a camera configured to obtain one or more images. One or more processors are communicatively coupled to the smart glasses and are configured to receive the one or more images and to process the one or more images to identify characteristics of damage to a property. The one or more processors are also configured to generate, based on the characteristics of the damage to the property, a mitigation protocol. The one or more processors are further configured to provide an output indicative of one or more steps of the mitigation protocol to the smart glasses for presentation to the individual via the display.

Abstract: A system includes a processor and a database having first data indexed therein and indicative of a plurality of online websites. The processor is configured to receive, via a search engine account, second data indicative of a search string. The processor is also configured to determine an additional online account linked with the search engine account, and locate, in the additional online account and based on the second data, third data correlated to the search string. The processor is also configured to search the database to locate a subset of the first data by identifying a correspondence between the subset of the first data and a combination of the second data and the third data. The processor is also configured to format, based on the subset of the first data, search results displayable on a display of a user device.

Abstract: The present embodiments relate to an Augmented Reality (AR) vehicle buying experience. A client can provide a series of client information, such as characteristics of a desired vehicle. A specified vehicle can be identified and characteristics of that vehicle can be identified. The characteristics of the vehicle can then be compared with the desired vehicle characteristics provided by the client to determine whether the vehicle corresponds to the desired vehicle of the client. Responsive to determining that the specified vehicle corresponds to the desired vehicle of the client, the client AR display can be updated to highlight the specified vehicle depicted in the display. Alternatively, responsive to determining that the specified vehicle does not correspond to the desired vehicle of the client, the client AR display can be updated to obfuscate (e.g., grey out) the specified vehicle in the display.

Abstract: A user device may obtain access control data which is derived based on a test result or score of a test for assessing a risk of a user of having or developing a contagious illness. The access control data may be communicated from the user device to an access control system in response to a reading of the user device by the access control system. The access control system may permit or deny entry of the user into an area based on the access control data. In some aspects, the user device is an identity (ID) or access badge. In other aspects, the user device is a mobile user device having one or more illness risk factor assessment functions, where the test result or score is obtained based on resulting data from executing the one or more illness risk factor assessment functions.