A system, method, and computer-readable medium for detecting a risk of fraud in a vehicle insurance claim by comparing the cost of repair from a treatment facility to a cost estimate for the repair. If the cost of repair from the treatment facility exceeds the cost estimate by a substantial amount, the cost of repair may be flagged as a risk of fraud and a suspicious loss indicator may be generated and transmitted to an insurance agent, a claims center, etc.

Apparatuses, systems, and methods are provided for interfacing a roadway obstacle and navigation system with an obstacle identification and route determination system to identify roadway obstacles based on vehicular data. The roadway obstacle and navigation system may receive vehicular data through sensor utilization and communications with electronic devices. The vehicular data may be analyzed by the roadway obstacle and navigation system in conjunction with the obstacle identification and route determination system to identify roadway obstacles. The roadway obstacle and navigation system may use the roadway obstacles to provide safety alerts to drivers.

Disclosed are methods and devices related to diagnosing a device-under-service (DUS) are disclosed. DUS-related data is received. The DUS-related data is determined to be aggregated into aggregated data based on a determined classification of the DUS-related data. An aggregated-data comparison of the DUS-related data and aggregated data is generated. The aggregated-data comparison can include a statistical analysis of the DUS-related data and/or a differential analysis of DUS-related data taken while the DUS is operating in two or more operating states. A DUS report is generated based on the aggregated-data comparison. The DUS report can include one or more sub-strategies. At least one of the one or more sub-strategies can include a sub-strategy-success estimate. The DUS report can be sent and a DUS-report display can be generated based on the DUS report.

Disclosed are methods and devices related to diagnosing a device-under-service (DUS) are disclosed. DUS-related data is received. The DUS-related data is determined to be aggregated into aggregated data based on a determined classification of the DUS-related data. An aggregated-data comparison of the DUS-related data and aggregated data is generated. The aggregated-data comparison can include a statistical analysis of the DUS-related data and/or a differential analysis of DUS-related data taken while the DUS is operating in two or more operating states. A DUS report is generated based on the aggregated-data comparison. The DUS report can include one or more sub-strategies. At least one of the one or more sub-strategies can include a sub-strategy-success estimate. The DUS report can be sent and a DUS-report display can be generated based on the DUS report.

Methods, computer-readable media, software, and apparatuses provide a system that may facilitate communications so that parents or other superiors may monitor driving behavior of a vehicle carrying children or other subordinates. The system may allow communications to be sent from a parent computing device to a particular child computing device to set conditions for notifying the parent or superior of the driving behavior of a vehicle. Child computing devices may collect drive data (e.g., vehicle telematics data) for the system to evaluate and determine whether conditions are met (e.g., whether parental restrictions, like a geo-fence, are violated). Further, the system may send notifications to child computing devices and parent computing devices indicating whether the drive data meets the conditions of an agreement between a parent and teen. The system may also provide a web portal for use in forming the agreement between parents and their teens.

A system for inspecting an acoustic treatment applied to the hull of a maritime vessel includes an underwater inspection system including at least one signal emitter configured to emit a signal, at least one receiver configured to receive the signal after the signal has come into contact with the acoustic treatment applied to the hull of the maritime vessel, wherein the signal provides information about the integrity of the acoustic treatment and a processor configured to perform signal processing on the received signal and generate an output comprising information about one or more parameters of the acoustic treatment. The inspection system thereby allows for in-water inspection of acoustic treatments applied to a maritime vessel thus avoiding the need for a costly and time-consuming inspection of such a vessel while in dry-dock.

A system for inspecting an acoustic treatment applied to the hull of a maritime vessel includes an underwater inspection system including at least one signal emitter configured to emit a signal, at least one receiver configured to receive the signal after the signal has come into contact with the acoustic treatment applied to the hull of the maritime vessel, wherein the signal provides information about the integrity of the acoustic treatment and a processor configured to perform signal processing on the received signal and generate an output comprising information about one or more parameters of the acoustic treatment. The inspection system thereby allows for in-water inspection of acoustic treatments applied to a maritime vessel thus avoiding the need for a costly and time-consuming inspection of such a vessel while in dry-dock.

A system and method for monitoring a vehicle are presented. The system includes a first imaging subsystem for acquiring a plurality of load-carrying-portion images. A cargo-detection subsystem is configured for analyzing each of the plurality of load-carrying-portion images to determine whether cargo is positioned on the load-carrying portion of the vehicle. A power-detection subsystem is configured for determining when the vehicle is running. A motion-detection subsystem is configured for determining when the vehicle is in motion. An analytics subsystem is configured for calculating at least one of (i) the amount of time that the vehicle is running, (ii) the amount of time that the vehicle is running while cargo is positioned on the load-carrying portion, (iii) the amount of time the vehicle is in motion, and (iv) the amount of time the vehicle is in motion while cargo is positioned on the load-carrying portion.

A computer-implemented method for checking the correct deployment of an airbag device comprises, in a vehicle or test vehicle model, optionally arranging a dummy or model of a vehicle occupant in the vicinity of the airbag device, triggering the deployment of the air chamber of the airbag device, taking at least one image of a scene including the air chamber at a plurality of discrete times following the triggering of its deployment and verifying the volume of inflation and/or deployment of the air chamber at the plurality of discrete times following the triggering of its deployment on the basis of the at least one image.

A new system is described that is able to detect mechanical failures in a rotating shaft or shafts such as those which may be found in an aircraft or other mechanical device or vehicle. The system comprises a first accelerometer provided on the rotating shaft to be monitored and a reference accelerometer provided elsewhere. The system can compensate information received from these accelerometers so as to determine a fault in the rotating shaft that is being monitored.