Systems and methods are described for using data collected by unmanned aerial vehicles (UAVs) to generate insurance claim estimates that an insured individual may quickly review, approve, or modify. When an insurance-related event occurs, such as a vehicle collision, crash, or disaster, one or more UAVs are dispatched to the scene of the event to collect various data, including data related to vehicle or real property (insured asset) damage. With the insured's permission or consent, the data collected by the UAVs may then be analyzed to generate an estimated insurance claim for the insured. The estimated insurance claim may be sent to the insured individual, such as to their mobile device via wireless communication or data transmission, for subsequent review and approval. As a result, insurance claim handling and/or the online customer experience may be enhanced.

Systems and methods are described for using data collected by unmanned aerial vehicles (UAVs) to generate insurance claim estimates that an insured individual may quickly review, approve, or modify. When an insurance-related event occurs, such as a vehicle collision, crash, or disaster, one or more UAVs are dispatched to the scene of the event to collect various data, including data related to vehicle or real property (insured asset) damage. With the insured's permission or consent, the data collected by the UAVs may then be analyzed to generate an estimated insurance claim for the insured. The estimated insurance claim may be sent to the insured individual, such as to their mobile device via wireless communication or data transmission, for subsequent review and approval. As a result, insurance claim handling and/or the online customer experience may be enhanced.

The present disclosure is intended to provide a smart television and a method for displaying a graphical user interface of a television screen shot. The method includes while a display device is displaying currently-played content, in response to receiving an input instruction for capturing a screen shot, acquiring a screen shot image comprising at least one object; and while the display device continues playing, displaying a screen shot content display layer on the display device. The screen shot content display layer is configured to present the screen shot image. The method further includes in response to receiving an input for selecting an object or a keyword matched with the object, displaying recommended content related to the object; in response to receiving a selection for a different object on the screen shot image by moving a focus frame, updating presentation of recommended content based on the selected different object.

Disclosed are a drinking under influence (DUI) detection system and a DUI detection method based on an MQ3 sensor and an ultra wide band (UWB) radar. The system includes an alcohol detection module, a respiratory detection module, a signal matching module and a drunk driving alarm module, and each module cooperates to complete a detection. The MQ3 sensor-based alcohol detection module is used for alcohol signal capture, alcohol sequence processing and DUI threshold detection; the UWB radar-based respiratory detection module is used for respiratory signal capture, respiratory signal processing and passenger separation and positioning; the signal matching module is used for periodic signal alignment, sequence feature matching and drinker identity confirmation; and the DUI alarm module is used for a system alarm prompt, a data visualization interface and a DUI information uploading.

Example vehicle security systems and methods are described. In one implementation, a method receives a destination and a driving route to the destination for an autonomous vehicle to follow. A vehicle security system identifies a passkey associated with the driving route and communicates the passkey to a user designated to meet the autonomous vehicle at the destination. The vehicle security system confirms that the user designated to meet the autonomous vehicle possesses the passkey.

A parking assist system includes a control device. The control device continues an automatic parking process as a driver releases an operation on a brake pedal in a case where an obstacle is detected in a suspension area and an operation amount of the brake pedal has been equal to or more than a second threshold. The control device causes a brake device to stop a vehicle with a second brake force and suspends the automatic parking process in a case where the obstacle is detected in the suspension area and the operation amount of the brake pedal is less than the second threshold. The control device causes the brake device to stop the vehicle and cancels the automatic parking process in a case where the obstacle is detected in a cancellation area and the operation amount of the brake pedal is less than a first threshold.

An automatic parking method includes: acquiring a panoramic image near a vehicle, and recognizing a parking space line in the panoramic image; determining whether a parking space exists near the vehicle according to a recognition result; in response to the recognition result indicating that no parking space exists near the vehicle, generating a virtual parking space; and controlling the vehicle to park automatically according to the virtual parking space.

An apparatus and a method to detect a crash type of a vehicle provides a front acceleration sensor configured to sense a left front acceleration and a right front acceleration in the front of a vehicle; a center acceleration sensor configured to sense a center left acceleration and a center right acceleration in the center of the vehicle; a collision direction detection unit configured to detect a collision direction of the vehicle using the accelerations; a high frequency component detection unit configured to detect high frequency components by filtering the accelerations; and a crash type detection unit configured to detect a crash type of the vehicle using the accelerations of the high frequency components in accordance with the collision direction.

A parking assistance method is provided. The method includes recognizing image features of a traffic line corresponding to a parking position of a vehicle. A category of the parking position of the vehicle is determined based on the image features of the traffic line. Once the vehicle is determined to be parking illegally based on the category of the parking position of the vehicle; a warning is issued.

A managed notification system compares image(s) and/or indicia relating to the image(s) and where there is a match selectively provides a notification of the same.