Abstract: A risk management system that includes an internet of things (IoT) integrated logic engine connected to IoT-capable sensors and devices and autonomous entity sensors and devices. The logic engine processes and analyzes in real-time the data from the plurality of IoT-capable sensors and the autonomous entity sensors. The logic engine further identifies novel patterns and pre-defined data patterns in the data from the plurality of IoT-capable sensors and the autonomous entity sensors to determine that a risk is occurring or imminent. The logic engine further sends real-time notifications to a set of subscribers of the risk management system about the risk that is occurring or imminent and provide inter-device communications to provide real-time warnings between one or more of the plurality of sensor-enabled devices and the autonomous entity devices.

Abstract: Systems, devices, and methods provide an augmented reality visualization of a real world accident scene. The system may comprise an augmented reality visualization device in communication with a display interface. The display interface may be configured to present a graphical user interface including an accident scene that corresponds to a real world location. The augmented reality visualization device (and/or system) may comprise one or more data stores configured to store accident scene information corresponding to the real world location, such as vehicles, motorcycles, trees, road objects, etc. Additionally, the one or more data stores may also store participant information corresponding to details about other multiple participants, such as witnesses, other drivers, and/or police officers.

Abstract: A risk management system that includes an internet of things (IoT) integrated logic engine connected to IoT-capable sensors and devices and autonomous entity sensors and devices. The logic engine processes and analyzes in real-time the data from the plurality of IoT-capable sensors and the autonomous entity sensors. The logic engine further identifies novel patterns and pre-defined data patterns in the data from the plurality of IoT-capable sensors and the autonomous entity sensors to determine that a risk is occurring or imminent. The logic engine further sends real-time notifications to a set of subscribers of the risk management system about the risk that is occurring or imminent and provide inter-device communications to provide real-time warnings between one or more of the plurality of sensor-enabled devices and the autonomous entity devices.

Abstract: A risk management system that includes an internet of things (IoT) integrated logic engine connected to IoT-capable sensors and devices and autonomous entity sensors and devices. The logic engine processes and analyzes in real-time the data from the plurality of IoT-capable sensors and the autonomous entity sensors. The logic engine further identifies novel patterns and pre-defined data patterns in the data from the plurality of IoT-capable sensors and the autonomous entity sensors to determine that a risk is occurring or imminent. The logic engine further sends real-time notifications to a set of subscribers of the risk management system about the risk that is occurring or imminent and provide inter-device communications to provide real-time warnings between one or more of the plurality of sensor-enabled devices and the autonomous entity devices.

Abstract: A risk management system that includes an internet of things (IoT) integrated logic engine connected to IoT-capable sensors and devices and autonomous entity sensors and devices. The logic engine processes and analyzes in real-time the data from the plurality of IoT-capable sensors and the autonomous entity sensors. The logic engine further identifies novel patterns and pre-defined data patterns in the data from the plurality of IoT-capable sensors and the autonomous entity sensors to determine that a risk is occurring or imminent. The logic engine further sends real-time notifications to a set of subscribers of the risk management system about the risk that is occurring or imminent and provide inter-device communications to provide real-time warnings between one or more of the plurality of sensor-enabled devices and the autonomous entity devices.

Abstract: Systems, devices, and methods provide an augmented reality visualization of a real world accident scene. The system may comprise an augmented reality visualization device in communication with a display interface. The display interface may be configured to present a graphical user interface including an accident scene that corresponds to a real world location. The augmented reality visualization device (and/or system) may comprise one or more data stores configured to store accident scene information corresponding to the real world location, such as vehicles, motorcycles, trees, road objects, etc. Additionally, the one or more data stores may also store participant information corresponding to details about other multiple participants, such as witnesses, other drivers, and/or police officers.

Abstract: Methods, computer-readable media, software, and apparatuses provide a system for implementing a tool that allows users to test a webpage. The system may include a computing device configured to use the tool to parse a request that is transmitted in response to, for example, a selection to load the webpage. The tool may also generate a user interface comprising variables of the request. The variables may be displayed so that they may be selected by a user. For each selected variable, the computing device may generate a column within a table. The table may include the values for each selected variable. The computing device may also generate a second table with corresponding values for corresponding variables. Further, the computing device may compare corresponding values to execute regression testing. Also, the computing device may allow a user to select criteria for certain variables to generate rules and apply rules against requests.

Abstract: Systems, devices, and methods provide an augmented reality visualization of a real world accident scene. The system may comprise an augmented reality visualization device in communication with a display interface. The display interface may be configured to present a graphical user interface including an accident scene that corresponds to a real world location. The augmented reality visualization device (and/or system) may comprise one or more data stores configured to store accident scene information corresponding to the real world location, such as vehicles, motorcycles, trees, road objects, etc. Additionally, the one or more data stores may also store participant information corresponding to details about other multiple participants, such as witnesses, other drivers, and/or police officers.

Abstract: A system for implementing a tool that allows users to test a webpage. The system may include a computing device that uses the tool to parse a request transmitted in response to, for example, a selection to load the webpage. The tool may also generate a user interface comprising variables of the request. The variables may be displayed for selection by a user. For each selected variable, the computing device may generate a column within a table. The table may include values for each selected variable. The computing device may also generate another table with values for corresponding variables. Further, the computing device may compare values to execute regression testing. The computing device may allow a user to select criteria for certain variables to generate rules and apply rules against requests. The computing device may also allow users to export data to be analyzed and reported in another tool.

Abstract: Systems, devices, and methods provide an augmented reality visualization of a real world accident scene. The system may comprise an augmented reality visualization device in communication with a display interface. The display interface may be configured to present a graphical user interface including an accident scene that corresponds to a real world location. The augmented reality visualization device (and/or system) may comprise one or more data stores configured to store accident scene information corresponding to the real world location, such as vehicles, motorcycles, trees, road objects, etc. Additionally, the one or more data stores may also store participant information corresponding to details about other multiple participants, such as witnesses, other drivers, and/or police officers.

Abstract: Methods, computer-readable media, software, and apparatuses provide a system for implementing a tool that allows users to test a webpage. The system may include a computing device configured to use the tool to parse a request that is transmitted in response to, for example, a selection to load the webpage. The tool may also generate a user interface comprising variables of the request. The variables may be displayed so that they may be selected by a user. For each selected variable, the computing device may generate a column within a table. The table may include the values for each selected variable. The computing device may also generate a second table with corresponding values for corresponding variables. Further, the computing device may compare corresponding values to execute regression testing. Also, the computing device may allow a user to select criteria for certain variables to generate rules and apply rules against requests.