Abstract:
A system for transmitting notifications based on image data analysis may comprise: an image registration module to receive, from an unmanned aerial vehicle, current image data of a geographic location; a change detection module to: compare the current image data with previous image data of the geographic location to identify a change in the geographic location; and analyze the change to determine a category of the change in the geographic location; and an action module to: determine at least one party to notify about the change based on the category; and transmit a notification to the at least one party via an unmanned aerial vehicle.
Abstract:
Embodiments of apparatus and methods for providing recommendations based on environmental data and associated contextual information are described. In embodiments, an apparatus may include a data collector to receive environmental data and an analysis module to identify a behavioral model of the first user based at least in part on the environmental data associated contextual information of the first user. The apparatus may further include a recommendation module to provide a recommendation to the first user based at least in part on the behavioral model of the first user and/or environmental data for a second user. Other embodiments may be described and/or claimed.
Abstract:
Technologies for scene reconstruction include a compute system to determine a context of at least one image of a scene captured by a camera of the compute system and generate metadata for the at least one image based on the determined context such that the metadata identifies the determined context of the compute system. The compute system further anonymizes the metadata to generate anonymized data that maintains privacy of the compute system and transmits the anonymized data to a cloud server for multi-dimensional reconstruction of the scene.
Abstract:
This disclosure is directed to a protection system including machine learning snapshot evaluation. A device may comprise a machine learning engine (MLE) to generate snapshots of device operation. The MLE may use active or planned operations in the snapshot to learn user behavior. Once normal user behavior is established for the device, the MLE may be able to determine when snapshots include unusual behavior that may signify a threat to the device. Snapshots determined to include unusual behavior may be transmitted to a remote resource for evaluation. The remote resource may include at least a user behavior classification engine (UBCE) to classify the user behavior by characterizing it as at least one type of use. The snapshot may be analyzed by the UBCE to determine if potential threats exist in the device, and the threat analysis may be provided to the device for evaluation and/or corrective action.
Abstract:
Technologies for assisting vehicles with changing road conditions includes vehicle assistance data based on crowd-sourced road data received from a plurality of vehicles and/or infrastructure sensors. The crowd-sourced road data may be associated with a particular section of roadway and may be used to various characteristics of the roadway such as grade, surface, hazardous conditions, and so forth. The vehicle assistance data may be provided to an in-vehicle computing device to assist or facilitate traversal of the roadway.
Abstract:
In embodiments, apparatuses, methods and storage media (transitory and non-transitory) are described that receive a first 3D model of a 3D object, and determine a second 3D model to replace the first 3D model, wherein the second 3D model is a fuller representation of the 3D object than the first 3D model. In embodiments, the second 3D model may be manipulated, metadata corresponding to a material property of the 3D object may be provided, 3D models of component parts of the 3D object may be provided, or the second 3D model may be used to construct an object with a 3D printer. Other embodiments may be described and/or claimed.
Abstract:
Various systems and methods for automated audio adjustment are described herein. A processing system for automated audio adjustment may include a monitoring module to obtain contextual data of a listening environment; a user profile module to access a user profile of a listener; and an audio module to adjust an audio output characteristic based on the contextual data and the user profile, the audio output characteristic to be used in a media performance on a media playback device.
Abstract:
Technologies are presented that optimize application management on a computing device through contextual application archival and retrieval. A method of managing applications may include: learning contextual relevancy of one or more applications installed on a computing device to a user of the device and determining whether an application is no longer contextually relevant to the user. If the application is no longer contextually relevant, the device may send a request to an application management service to obtain and/or maintain the application; create a placeholder for the application at the device; and remove the application from the device. The device may monitor contextual inputs for relevancy of the archived application. If contextual relevancy is determined, the device may send a request to the service to provide the archived application or a replacement of the archived application to the device; receive the requested application; install the requested application; and remove the placeholder.