Computing systems for vehicle diagnostics are provided. In accordance with some aspects, a computing system may receive, from a vehicle (e.g., from a computing device installed in and/or at the vehicle), a diagnostic code generated by an on-board diagnostic (OBD) system of the vehicle. The computing system may determine an issue with the vehicle based on the diagnostic code and may determine, based on the issue, a remedial action for addressing the issue and a timeframe for performing the remedial action. The computing system may store data identifying the issue, the remedial action, and the timeframe in a record associated with the vehicle.

A testing system for interfacing with a vehicle diagnostic system and performing a diagnostic test on a vehicle. The testing system includes a housing configured to at least partially retain a processor in circuit communication with test circuitry configured to selectively communicate with vehicle's onboard diagnostic system via a test cable. The test cable retrieves diagnostic data from the onboard diagnostic system, and the processor performs a diagnostic test which is sent to an output device for displaying the test results. Results are transmitted to a computing device comprising an application system having an interpreter for displaying diagnostic data on a display of the computing device.

A method, a device, and a system for processing information of a vehicle are disclosed. In the embodiments, information about a connected vehicle is acquired, and a display image of a virtual vehicle is generated; driving information of the connected vehicle is acquired; whether the vehicle is currently in a driving state is determined according to the driving information; and when the connected vehicle is in the driving state, an orientation of a head of the virtual vehicle is adjusted to keep consistency with an orientation of a head of the connected vehicle; and when the connected vehicle is in a non-driving state, an orientation of a head of the virtual vehicle is adjusted towards a location of the connected vehicle. The present disclosure can feed back a vehicle condition in real time, dynamically and truly, and position a vehicle more accurately.

A system and method for diagnosing connection and communication in an industrial machine. The electronic processing system includes a CAN bus, an ethernet network, and a plurality of devices connected to the CAN bus and the ethernet network. The plurality of devices includes at least one controller programmed to run one or more software applications. A connectivity check is performed to obtain CAN connection status data and ethernet connection status data for the plurality of devices. The CAN connection status data and the ethernet connection status data is analyzed to determine a likely cause of a device connection issue. A solution to the device connection issue is output to a user based on the analyzed data.

The present application discloses a display panel and a display device. The display panel includes: a common electrode layer including a plurality of columns of first common electrodes, wherein each column of the plurality of columns of the first common electrodes includes a plurality of touch electrodes insulated from each other; and a driving module. Each of the plurality of touch electrodes is electrically connected to the driving module through one or more touch leads. A number of the touch leads corresponding to each of or adjacent ones of the plurality of touch electrodes gradually increases along a direction away from the driving module.

A leak detection system is configured to provide vehicle-specific leak detection for a vehicle. The leak detection system includes a memory circuit having a plurality of leak detection instructions matched with vehicle identification information. The system additionally includes an ultraviolet light source and a camera configured to capture an image of an area illuminated by the ultraviolet light source. A processor is in operative communication with the memory circuit and the camera. The processor is configured to facilitate identification of at least one of the plurality of leak detection instructions in response to receipt of vehicle identification information associated with the vehicle, and compare the image captured by the camera to a known image of the vehicle to determine presence and location of a leak.

A diagnostic tool for use in diagnosing a vehicle comprises a data interface for accessing an electronic control unit (ECU) of a vehicle and receiving diagnostic data from the ECU, a processor for generating a barcode encoding at least a portion of the received diagnostic data, and a display for displaying the generated barcode to allow for contactless transmission of the at least a portion of the received diagnostic data to an external device independent of any need for electrical or bidirectional communication with the external device. An external device may capture an image of the barcode, decode the at least a portion of the received diagnostic data based on the captured image of the barcode, transmit the decoded diagnostic data to a server, and receive vehicle condition information from the server based on the decoded diagnostic data.

A diagnostic tool for use in diagnosing a vehicle comprises a data interface for accessing an electronic control unit (ECU) of a vehicle and receiving diagnostic data from the ECU, a processor for generating a barcode encoding at least a portion of the received diagnostic data, and a display for displaying the generated barcode to allow for contactless transmission of the at least a portion of the received diagnostic data to an external device independent of any need for electrical or bidirectional communication with the external device. An external device may capture an image of the barcode, decode the at least a portion of the received diagnostic data based on the captured image of the barcode, transmit the decoded diagnostic data to a server, and receive vehicle condition information from the server based on the decoded diagnostic data.

The present application discloses a remote vehicle diagnostic and detection method based on instant messaging communication, an electronic device, and a storage medium. The process is not only faster to obtain car data, but also to obtain more description information based on instant messaging communication, which improves the efficiency of remote vehicle diagnostic and exclusion.

Apparatuses and methods for predicting a crash using estimated vehicle speed. A set of sensor measurements are received from a mobile device disposed within a vehicle. A set of contiguous windows based on the sensor measurements may be defined. Each contiguous window represents a contiguous portion of the sensor measurements. A set of sensor measurements may be defined for each contiguous window. A trained neural network may execute, using the set of features, to generate one or more speed predictions. A vehicle crash prediction may be generated using the speed prediction. The vehicle crash prediction may then be transmitted to a remote device.