Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for customized vehicle operator workflows. A vehicle operator workflow includes a set of tasks to be completed by a vehicle operator. The vehicle operator workflow may be presented to the vehicle operator upon satisfaction of a triggering event, such as upon the vehicle operator logging into an account or the vehicle entering a specified geographic region. The vehicle operator workflow may enable the vehicle operator to complete the individual tasks as well as submit evidence that the tasks have been completed.

Abstract: A computer-implemented method for machine learning model operation can include, by one or more processors executing program instructions: providing a first training dataset comprising a plurality of images and associated object detection labels, providing a second training dataset comprising a plurality of images and associated classification labels, and providing a machine learning model comprising a model backbone, an object detection task head, and a classification task head. The method can further include training the machine learning model by training the object detection task head using the first training dataset and training the classification task head using the second training dataset. The method can further include deploying the trained machine learning model that includes the trained model backbone and the trained object detection task head but does not include the trained classification task head.

Abstract: Systems and methods are described for transmitting broadcasts by Peripherals, receiving the broadcasts by Centrals, and communicating with a Backend by Centrals. Specifically, a Peripheral may generate and transmit an encrypted broadcast packet to a Central, the Central may transmit the encrypted observation information to the Backend, which may decrypt the broadcast packet. Additionally, a Central may transmit a request for authorization to connect to a Peripheral to the Backend. If authorized by the Backend, the Central may connect to the Peripheral. Further, a Central may receive a plurality of broadcasts over a period of time. The Central may store information about the broadcasts and, at the conclusion of the period of time, transmit the information about the broadcasts and the last-received broadcast to the Backend.

Abstract: Systems and methods are described for determining a peripheral's location based on observations from a plurality of centrals. A central may periodically transmit its location and observations of peripherals to a backend. The backend may match the location of the central with one or more observations of a peripheral to estimate a location of the peripheral. The backend may receive observations of the same peripheral from a plurality of centrals. The backend may aggregate estimated locations to triangulate a more precise location of the peripheral.

Abstract: Methods, systems, and programs are presented for detecting impaired views in monitoring cameras. One method includes training a rotation classifier with unsupervised learning utilizing a first set of images. The rotation classifier is configured to receive an input image and generate a rotation feature embedding for the input image. In addition, the method includes training an impairment classifier with supervised learning utilizing a second set of images, impairment labels for each of the second set of images, and the rotation feature embedding, generated by the rotation classifier, for each of the second set of images. The method further includes accessing a vehicle image captured by a camera on a vehicle, and providing the vehicle image to the impairment classifier as input, and the impairment classifier outputs a camera impairment from a set of camera impairment categories. Further, the vehicle image and the camera impairment are presented on a user interface.

Abstract: An air quality notification system to perform operations that include: causing a sensor device to sample an air quality associated with a location at a predefined sampling interval; determining, at the sensor device, that a value corresponding with the air quality sampled by the sensor device transgresses a threshold value; causing the sensor device to transmit an alert to a server system responsive to the determining that the value corresponding with the air quality transgresses a threshold value; and causing the server system to present a notification at a client device responsive to the sensor device transmitting the alert, the notification including at least a display of an identifier associated with the location.

Abstract: A management server system may obtain sensor data generated by a plurality of sensors from a plurality of gateway devices. The sensor data may be associated with a plurality of physical assets. The management server system may generate a user interface for display by a user computing device based on the sensor data. The user interface may include visualizations of the plurality of physical assets and filters. The management server system can obtain a selection of a filter from the user computing device. Based on the selection of the filter, the management server system may filter the sensor data to identify a portion of sensor data. The management server system can filter the plurality of physical assets to identify a portion of the physical assets associated with the portion of sensor data. The management server system may generate a user interface including visualizations of the portion of physical assets.

Abstract: The technology disclosed herein enables configuration and sharing of a coverage map which displays asset data. In various implementations, an asset owner provides access to select portions of asset data, such as vehicle performance data, to an end-user. The asset owner configures a coverage map to display the selected data according to the type of asset data to be displayed, the scope of the data to be displayed, and other map attributes. Once configured, a URL is generated which the fleet operator provides to the end-user.

Abstract: Methods for performing operations for improving driver safety across a fleet of vehicles are disclosed. A plurality of safety events pertaining to a driving of a fleet of vehicles by a plurality of drivers are detected. A subset of the events is identified. The subset corresponds to one or more safety events of the plurality of safety events involving one or more vehicles of the fleet of vehicles to which drivers have not been assigned. A user interface is generated for presentation on a client device, the user interface including an interactive user interface element for accessing the subset of the events. One or more user interface elements are provided for accepting or rejecting recommendations for assignments of one of the plurality of drivers to each of the vehicles. The recommendations are generated based on an application of a machine-learned model to images of faces captured.

Abstract: A system receives vehicle metric data from a gateway device connected to a vehicle via a network connection. In a first power mode, the vehicle gateway device gathers vehicle metric data related to operation of the vehicle and/or location data and sends requested vehicle metric data to the system. Based on a lack of input, the vehicle gateway device enters a standby power mode to reduce the power consumption of the vehicle gateway device. The vehicle gateway device reduces the power consumption by reducing activity of the vehicle gateway device. Instead of reinitiating a network connection periodically to receive requests for vehicle metric data from the system, the vehicle gateway device maintains the network connection by sending keep alive messages between the vehicle gateway device and the system. The system uses the maintained network connection to request vehicle metric data.

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: A driver monitoring system includes internal and external cameras attached to a vehicle. The cameras capture video of the vehicle's driver and the area surrounding the vehicle for later review by a coach or supervisor. To ensure privacy of people who appear in video, portions of the video may be processed to blur faces, license plates, and/or other features. Furthermore, access control mechanisms exist so that only users in specific roles have access to review certain types of video.

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: 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: 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: 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: 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: 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.