Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for managing diagnostics and malfunctions of a vehicle. A route management system detects an event representing an improper operation of an electronic logging device (ELD) of a vehicle; in response to detecting the event: generates, for display, a notification representing the event to a driver of the vehicle; retrieves instructions for resolving the improper operation of the ELD; presents the instructions as part of the notification; and coordinates communicating the event and resolution status of the event to a fleet manager of the vehicle.

Abstract: Methods, systems, and computer programs are presented for immobilizing a vehicle based on the detection of threats, such as tampering or jamming. The method includes configuring a vehicle for tamper and jamming detection, installing a communication device and an engine immobilizer in the vehicle, and providing a user interface for configuring the communication device to activate the engine immobilizer. The method further includes parallel paths for tampering detection, which immobilizes the vehicle and notifies the server upon detection, and for jamming detection, which similarly immobilizes the vehicle and notifies the server, including the vehicle's GPS position. Optionally, image information from the vehicle may be included in the notification or to trigger immobilization upon detecting multiple occupants, indicating a potential carjacking. This solution enables fleet managers to react to thefts and maximize vehicle recovery rates quickly.

Abstract: A system receives historical vehicle battery data from a gateway device connected to a vehicle. Some vehicles with plug-in rechargeable batteries recommend/require that the vehicle computer be turned off when recharging. Thus, obtaining a current state of charge while a vehicle is charging can be difficult because the vehicle computer can be off. While the vehicle/gateway device is unable to transmit current battery data, the systems estimate a battery charge from the historical data.

Abstract: In various implementations, an asset gateway service receives log messages comprising asset data captured by a gateway device associated with an asset. The log messages each include a first identifier corresponding to a first representation of the gateway device, which itself is associated with a first organization. The service persists data from the log to a first datastore accessible by the first organization. The service also determines whether a second representation of the gateway device (i.e., a clone) exists. If so, the service persists at least some of the data from the log message to a second datastore, which itself may be associated with a second organization, thereby allowing both organizations to access the data in a secure yet convenient manner.

Abstract: Techniques are presented to provide an event review dashboard. One method relates to a user interface (UI) for the event review dashboard that provides customers with a comprehensive view of their event engagement over time. The UI includes interactive elements, information fields, and filters to assist in the analysis and review of customer actions in response to behavioral events detected in vehicles. These actions may include coaching or dismissal. The UI provides filters for date range selection, customer selection, dismissal rate visualization, and minimum event thresholds, enabling customers to assess the relevance and effectiveness of specific event types and their coaching program performance. Additionally, the UI also includes a table and panel for detailed analysis of event dismissal by type and direct access to dismissed event details. The UI is designed for ease of use and efficient analysis, with feedback mechanisms to improve the AI model learning process.

Abstract: A system receives vehicle metric data from a gateway device connected to a vehicle. The vehicle gateway device gathers data related to operation of the vehicle and/or location data. The system receives data from multiple vehicles and multiple fleets. The system uses machine learning to identify cohorts for fleets. The system calculates metrics for fleets and benchmarks for the cohorts. The system presents the metrics and benchmarks in a graphical user interface.

Abstract: A method performed by an Internet of Things (IoT) device is disclosed. The method includes connecting to an access point of a network, transmitting data to a management server via the access point according to a first schedule, wherein the management server is separate from the access point, receiving a configuration parameter from the management server via the access point, wherein the configuration parameter defines a second schedule that is different from the first schedule, and responsive to receiving the configuration parameter transmitting data to the management server via the access point according to the second schedule, wherein the second schedule was determined by the management server such that when the IoT transmits data to the management server according to the second schedule, a number of connections with the access point by IoT devices that occur at a same time does not exceed a threshold number of connections.

Abstract: A vehicle device may execute one or more neural networks (and/or other artificial intelligence), such as based on input from one or more of the cameras and/or other sensors associated with the dash cam, to intelligently detect safety events in real-time. The vehicle device may further pass the input to a backend server for further analysis and the backend server can detect safety events based on the input. The vehicle device may analyze the output of the vehicle device and the output of the backend server to determine whether the output of the vehicle device is correct. If the output of the vehicle device is incorrect, the vehicle device can adjust how the vehicle device identifies safety events.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for route tracking overlapping geofences. A route management system provides for route tracking of overlapping geofences. For example, the route management system tracks the amount of time that a vehicle is within geofence, even when the vehicle has not departed a previous scheduled stop and/or is within multiple overlapping geofences. The route management system determines that the vehicle has arrived at the scheduled stop when the amount of time that the vehicle has been within the geofence encompassing the scheduled stop meets a threshold period of time. As a result, the route management system accurately logs a vehicle as having arrived at multiple scheduled stops that have overlapping geofences.

Abstract: Example embodiments described herein therefore relate to an object-model based event detection system that comprises a plurality of sensor devices, to perform operations that include: generating sensor data at the plurality of sensor devices; accessing the sensor data generated by the plurality of sensor devices; detecting an event, or precursor to an event, based on the sensor data, wherein the detected event corresponds to an event category; accessing an object model associated with the event type in response to detecting the event, wherein the object model defines a procedure to be applied by the event detection system to the sensor data; and streaming at least a portion of a plurality of data streams generated by the plurality of sensor devices to a server system based on the procedure, wherein the server system may perform further analysis or visualization based on the portion of the plurality of data streams.

Abstract: Methods, systems, and computer programs are presented for the management of lane-departure (LD) events. One method includes training a classifier for LD events and loading the classifier into a vehicle. LD events are detected based on outward images using the classifier, while the turn signal is monitored to prevent false triggers. If an LD event is detected, rules are checked for alerting the driver and deciding whether to alert the driver or not. Subsequently, additional rules are checked for reporting the event and deciding whether to report the event to a Behavior Monitoring System (BMS) or to discard it. The method also includes a solid line departure model that identifies crossing dashed, solid-white, and solid-yellow lanes, delaying alerts and event generation until a significant portion of the vehicle crosses over the lane. The model also outputs a confidence score reflecting the amount of vehicle deviation from the driving lane.

Abstract: Machine vision devices may be configured to automatically connect to a remote management server (e.g., a “cloud”-based management server), and may offload and/or communicate images and analyses to the remote management server via wired or wireless communications. The machine vision devices may further communicate with the management server, user computing devices, and/or human machine interface devices, e.g., to provide remote access to the machine vision device, provide real-time information from the machine vision device, receive configurations/updates, provide interactive graphical user interfaces, and/or the like.

Abstract: Methods for improving compliance with regulations pertaining to vehicle driving records are disclosed. One or more digital images from a camera mounted in a vehicle are received. Based on a determination that the vehicle has hours of service that have not been assigned to a driver, a subset of the one or more digital images corresponding to the hours of service are identified based on the timestamps. The subset of the one or more digital images are processed to identify a correspondence between a face of a person included in the one or more digital images and a face of a known person. Based on the correspondence transgressing a threshold level of correspondence, a user interface is generated for presentation on a device. The user interface includes an interactive user interface element for accepting a recommendation to assign the known person as the driver for the unassigned hours of service.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for variable termination in a vehicle communication bus. To provide compatibility with multiple vehicles, a device may include a software selectable terminator resistor that can be programmatically enabled or disabled to add or remove resistance as needed. For example, the software selectable terminator resistor may be enabled when the device is added as an end node in a high-speed communication bus and operates as a terminator resistor. Alternatively, the software selectable terminator resistor may be disabled when the device is added as an intermediate node positioned between terminator resistors in the high-speed communication bus.

Abstract: Systems and methods are described for connection throttling between peripherals and centrals. Connections may enable bi-directional communication between a peripheral and a central to allow for updates to or configuration of the peripheral. The peripheral can send broadcasts to centrals. The broadcasts may contain metadata indicating a time period since the peripheral last connected to a central, a maximum connection distance, and a transmit power or signal strength indicator. The central may use the transmit power or signal strength indicator to determine a distance from the central to the peripheral and may determine whether the distance is within the maximum connection distance. The central may determine to connect to the peripheral based on time and distance thresholds being satisfied. Upon establishing of a successful connection, the central can update or configure the peripheral.

Abstract: A quick action menu system may be configured to perform operations that include: causing display of a graphical user interface (GUI) at a client device, the GUI comprising a display of a persistent icon at a position within the GUI; receiving a selection of the persistent icon from the client device; accessing user profile data associated with a user of the client device responsive to the input that selects the persistent icon; and causing display of a quick actions menu to display content associated with the user profile data.

Abstract: A system receives vehicle metric data from a gateway device connected to a vehicle. The vehicle gateway device gathers data related to operation of the vehicle and/or location data. The system receives data from multiple vehicles. The vehicle gateway device gathers vehicle metric data and correlates the metric data with location data. The system presents the correlated data in an interactive map graphical user interface.

Abstract: A method performed by a wireless sensing device to send sensor data to a gateway device using a dynamic connection setting. The method includes establishing a connection with the gateway device, wherein the connection is configured to have a first connection setting that allows for higher data throughput compared to a second connection setting, upon the connection being established, sending backlogged sensor data stored in a data storage of the wireless sensing device to the gateway device over the connection using the first connection setting, configuring the connection to have the second connection setting in response to a determination that the backlogged sensor data has been sent to the gateway device, and sending new sensor data generated after the backlogged sensor data to the gateway device over the connection using the second connection setting.

Abstract: Example embodiments described herein therefore relate to an event detection system that comprises a plurality of sensor devices, to perform operations that include: generating sensor data at the plurality of sensor devices; accessing the sensor data generated by the plurality of sensor devices; detecting an event, or precursor to an event, based on the sensor data, wherein the detected event corresponds to an event category; accessing an object model associated with the event type in response to detecting the event, wherein the object model defines a procedure to be applied by the event detection system to the sensor data; and streaming at least a portion of a plurality of data streams generated by the plurality of sensor devices to a server system based on the procedure, wherein the server system may perform further analysis or visualization based on the portion of the plurality of data streams.

Abstract: A vehicle dash cam may be configured to execute one or more neural networks (and/or other artificial intelligence), such as based on input from one or more of the cameras and/or other sensors associated with the dash cam, to intelligently detect safety events in real-time. Detection of a safety event may trigger an in-cab alert to make the driver aware of the safety risk. The dash cam may include logic for determining which asset data to transmit to a backend server in response to detection of a safety event, as well as which asset data to transmit to the backend server in response to analysis of sensor data that did not trigger a safety event. The asset data transmitted to the backend server may be further analyzed to determine if further alerts should be provided to the driver and/or to a safety manager.