Abstract: An overdose of opioids can cause the user to stop breathing, resulting in death. A physiological monitoring system monitors respiration based on oxygen saturation readings from a fingertip pulse oximeter in communication with a smart mobile device and sends opioid monitoring information from the smart mobile device to an opioid overdose monitoring service. The opioid overdose monitoring service notifies a first set of contacts when the opioid monitoring information.

Abstract: A vehicle includes a processing device that detects an authentication device approaching the vehicle, determines a user's impaired state based on user condition information acquired using at least one device mounted on the vehicle, and performs a safe driving assistance service. The safe driving assistance service can prevent an impaired user from operating the vehicle.

Abstract: Systems, methods, and techniques for assessing driver safety based on noise levels or sounds associated with the interior of a vehicle are provided. Noise levels or sounds associated with the interior of a vehicle over a first interval of time may be compared to indications of vehicle motion over the first interval of time to identify noise levels or sounds at times when the indications of vehicle motion indicate unsafe driving. The identified noise levels or sounds may be analyzed to determine noise levels, sources, and/or characteristics of sounds associated with unsafe driving. Noise levels or sounds associated with the interior of the vehicle over a second interval of time may be analyzed to determine instances in which the noise levels, sources, and/or characteristics of sounds associated with unsafe driving occur over the second interval of time. Alerts may be generated for vehicle operators based on the determined instances.

Abstract: A wearable device and a system that includes the wearable device is provided. The wearable device includes at least one sensor configured to sense a characteristic of a user, a communication interface configured to obtain a first identifier of a vehicle or equipment, and a controller. The controller is configured to monitor the user based on the first identifier or send the first identifier to a monitoring system; determine whether there is a harm possibly occurring to the user of the wearable device based on at least one output from the at least one sensor, or send the at least one output to the monitoring system via the communication interface; and output, after the harm is determined to be possibly occurring, an alarm based on receiving confirmation from the user, or based on not receiving any confirmation from the user within a predetermined amount of time.

Abstract: An industrial machine startup control system for controlling startup of an industrial machine, the industrial machine startup control system including: a vital data measurement device that measures vital data of a worker; a health state analysis device that acquires the vital data of the worker measured by the vital data measurement device, and that determines a health state of the worker based on the acquired vital data; and a startup control device that controls whether or not to allow startup of the industrial machine based on the determination result from the health state analysis device.

Abstract: A vehicle control apparatus to be applied to a vehicle includes an abnormality detection unit, a notification control unit, and an automatic stop control unit. The abnormality detection unit detects an abnormal condition of a driver who drives the vehicle while the vehicle is traveling. The notification control unit performs notification control to make a notification of the abnormal condition detected by the abnormality detection unit. The automatic stop control unit starts first vehicle stop control of the vehicle when detecting no operation to cancel the notification control within a predetermined period of time after the notification control unit starts the notification control. The automatic stop control unit starts second vehicle stop control of the vehicle without waiting for an elapse of the predetermined period of time when detecting a vehicle stop request operation performed by a passenger in the vehicle within the predetermined period of time.

Abstract: A system includes a tracking system, a controller-circuit, and a device. The tracking system is configured to detect and track an object, and includes one or more of a computer vision system, a radar system, and a LIDAR system. The controller-circuit is disposed in a host vehicle, and is configured to receive detection signals from the tracking system, process the detection signals, determine, whether an object is detected based on the processed detecting signals, and in accordance with a determination that an object is detected, output command signals. The device is adapted to be mounted to the host vehicle, and is configured to receive the command signals and thereby provide a dynamic visual indication adapted to change in accordance with orientation changes between the host vehicle and the object. The dynamic visual indication is viewable from outside of the host vehicle.

Abstract: A vehicle is provided and includes a gesture detector that detects a gesture of a driver to designate a manipulation target object and a voice recognizer that recognizes a voice command generated by the driver to operate the designated manipulation target object. A controller is configured to transmit a control signal corresponding to the voice command to the manipulation target object, and to operate the manipulation target object to perform an operation corresponding to the voice command.

Abstract: The present disclosure provides a method and system to operationalize driver eye movement data analysis based on moving objects of interest. Correlation and/or regression analyses between indirect (e.g., eye-tracking) and/or direct measures of driver awareness may identify variables that feature spatial and/or temporal aspects of driver eye glance behavior relative to objects of interest. The proposed systems and methods may be further combined with computer-vision techniques such as object recognition to (e.g., fully) automate eye movement data processing as well as machine learning approaches to improve the accuracy of driver awareness estimation.

Abstract: The present disclosure relates to systems and processes for limiting notifications on an electronic device. In one example process, data representing a user input can be received by an electronic device. The data representing the user input can include touch data from the touch-sensitive device, ambient light data from an ambient light sensor, intensity data from a contact intensity sensor, and/or motion data from one or more motion sensors. Based on the data, it can be determined whether the user input is a cover gesture over a touch-sensitive display of the electronic device. In response to determining that the user input is a cover gesture over the touch-sensitive display, the electronic device can be put into a DND mode for a predetermined amount of time. While in the DND mode, the electronic device can cease to output some or all notifications.

Abstract: A vehicle includes: a driver assistance system; an accelerator configured to perform acceleration of the vehicle; a braking device configured to perform deceleration of the vehicle; a velocity sensor configured to detect a current velocity of the vehicle; a driver status sensor configured to acquire a driver's behavioral data; and a controller. The controller is configured to identify a carelessness status of the driver based on the driver's behavioral data and to activate a velocity control mode when the carelessness status of the driver is detected in the activation status of the driver assistance system.

Abstract: A distracted driving analysis system for identifying distracted driving events is provided. The system includes a processor in communication with a memory device programmed to: (i) receive driving event records including phone usage by a user that occurred within a time period of a driving event, (ii) divide the driving event records into at least two clusters based at least in part upon common features of one or more driving event records of the plurality of driving event records by processing the driving event records using an unsupervised machine learning algorithm, (iii) generate a trained model based at least in part upon the at least two clusters including cluster labels, (iv) process a new driving event using the trained model, (v) assign the new driving event to one of the at least two clusters using the trained model, and (vi) based at least in part upon the cluster labels for the assigned cluster, determine whether the new driving event is an actual distracted driving event or a passenger event.

Abstract: A method is provided for danger prediction. The method includes generating fully-annotated simulated training data for a machine learning model responsive to receiving a set of computer-selected simulator-adjusting parameters. The method further includes training the machine learning model using reinforcement learning on the fully-annotated simulated training data. The method also includes measuring an accuracy of the trained machine learning model relative to learning a discriminative function for a given task. The discriminative function predicts a given label for a given image from the fully-annotated simulated training data. The method additionally includes adjusting the computer-selected simulator-adjusting parameters and repeating said training and measuring steps responsive to the accuracy being below a threshold accuracy.

Abstract: A machine-implemented method for automated detection of drowsiness, which includes receiving from an imaging device directed at the face of an operator a series of images of the face of the operator onto processing hardware, on the processor detecting facial landmarks of the operator from the series of images to determine the level of talking by the operator, the level of yawning of the operator, the PERCLOS of the operator, on the processor detecting the facial pose of the operator from the series of images to determine the level of gaze fixation by the operator, on the processor calculating the level of drowsiness of the operator by ensembling the level of talking by the operator, the level of yawning of the operator, the PERCLOS of the operator and the level of gaze fixation by the operator, and generating an alarm when the calculated level of drowsiness of the operator exceeds a predefined value.

Abstract: A technique is provided for determining a loss risk assessment score for a vehicle trip. The technique includes, at a vehicle, a computing device receiving first information indicative of operation of the vehicle. The technique also includes, at the vehicle, the computing device receiving second information indicative of an environment at a particular location and time. The computing device correlates the first information and the second information to generate a data set. The technique also includes determining a score for the vehicle trip based at least in part upon the generated data set.

Abstract: A machine is configured to identify a media file that, when played to a user, is likely to modify an emotional or physical state of the user to or towards a target emotional or physical state. The machine accesses play counts that quantify playbacks of media files for the user. The playbacks may be locally performed or detected by the machine from ambient sound. The machine accesses arousal scores of the media files and determines a distribution of the play counts over the arousal scores. The machine uses one or more relative maxima in the distribution in selecting a target arousal score for the user based on contextual data that describes an activity of the user. The machine selects one or more media files based on the target arousal score. The machine may then cause the selected media file to be played to the user.

Abstract: Vehicles may have the capability to navigate according to various levels of autonomous capabilities, the vehicle having a different set of autonomous competencies at each level. In certain situations, the vehicle may shift from one level of autonomous capability to another. The shift may require more or less driving responsibility from a human operator. Sensors inside the vehicle collect human operator parameters to determine an alertness level of the human operator. An alertness level is determined based on the human operator parameters and other data including historical data or human operator-specific data. Notifications are presented to the user based on the determined alertness level that are more or less intrusive based on the alertness level of the human operator and on the urgency of an impending change to autonomous capabilities. Notifications may be tailored to specific human operators based on human operator preference and historical performance.

Abstract: A pacification method based on emotion recognition, includes: acquiring at least one of a voice and an image of a user; determining whether the user has abnormal emotion, according to the at least one of the voice and the image of a user; and in response to the user having abnormal emotion, determining a pacification manner according to the emotion of the user, and performing emotional pacification on the user. An apparatus, a device and a storage medium are also provided.

Abstract: A method for operating a system to continuously validating and authenticating a host and sensor pair involves defining a sensor-host pairing and context metadata. The system receives a plurality of sensor spatiotemporal sighting events of a sensor-host pair from a plurality of collection devices. The system records the identifier, signal strength, location and time of the sighting events as sensor spatiotemporal sighting events in a controlled memory data structure. The system collects a plurality of application events related to each sensor-host pair and stores the events in the controlled memory data structure. The system constructs a behavioral model from the sensor spatiotemporal sighting events through operation of spatiotemporal tracking logic. The system receives real time sighting events and compares it to the behavioral model to identify inconsistent behavior through operation of a behavior comparator.

Abstract: An information processing system includes a vehicle and an information processing device configured to transmit and receive information to and from the vehicle. The vehicle is configured to acquire information on an occupant in a cabin of the vehicle, and operate to affect a perception of the occupant. The information processing device is configured to store a cause of an accident caused by a passenger of the vehicle and control information for operating the operating unit to eliminate the cause of the accident, and transmit the control information to the operating unit of the vehicle when determination is made that the cause of the accident occurs based on the information on the occupant. The vehicle is configured to operate to eliminate the cause of the accident when the control information is received.

Abstract: This technology relates to dynamically detecting, managing and mitigating driver fatigue in autonomous systems. For instance, interactions of a driver in a vehicle may be monitored to determine a distance or time when primary tasks associated with operation of the vehicle or secondary tasks issued by the vehicle computing were last performed. If primary tasks or secondary tasks are not performed within given distance thresholds or time limits, then one or more secondary tasks are initiated by the computing device of the vehicle. In another instance, potential driver fatigue, driver distraction or overreliance on an automated driving system is detected based on gaze direction or pattern of a driver. For example, a detected gaze direction or pattern may be compared to an expected gaze direction or pattern given the surrounding environment in a vicinity of the vehicle.

Abstract: A driver monitoring system includes an automated driving controller that allows hands-off operation in which a driver releases hands from a steering wheel of a vehicle, and controls an automated steering driving in which the vehicle is automatically steered, and a request notification controller that notifies a hands-on request for prompting the driver of the vehicle to perform a hands-on operation to hold the steering wheel, or a surrounding confirmation request for prompting the driver to perform a surrounding confirmation operation to confirm a surrounding condition. During the automated steering driving, the request notification controller is configured to notify the hands-on request or the surrounding confirmation request again when an elapsed time from notification of the hands-on request or the surrounding confirmation request exceeds a criterion time.

Abstract: An occupant posture control method is provided that can suppress motion sickness. The occupant posture control method predicts a vehicle motion based on information relating to the vehicle motion, and imparts a stimulus that generates a muscle tension such that the occupant assumes a posture corresponding to the vehicle motion, when a predicted vehicle motion occurs.

Abstract: Technologies for monitoring vehicle traffic include a traffic analysis server that receives infrastructure data from infrastructure sensors positioned along a road segment of a road and vehicle data from one or more vehicles travelling along the road segment. The traffic analysis server determines whether anomalies are present in the traffic data through the road segment based on an expected traffic behavior for the road segment. The traffic analysis server determines the expected traffic behavior for the road segment in a particular time window based on a historical traffic pattern associated with the road segment, based on historical vehicle data and historical infrastructure data captured during a prior time window corresponding to the particular time window for that road segment. Other embodiments are described and claimed.

Abstract: An apparatus and method for monitoring a vehicle driver having at least one sensor for measuring pressure and/or humidity. The sensor includes at least one capacitor having at least two electrodes, which may be arranged horizontally on a flexible support material. At least one dielectric layer may be arranged between the electrodes. At least one electrode, and/or the dielectric layer, and at least one, at least partially liquid-permeable and/or liquid-absorbing moisture layer may be arranged on a side facing away from a support material. At least one electrode and/or the dielectric layer may be arranged transversely between the support material and the moisture layer. A capacitance may be changed by liquid on the dielectric layer, and a processing unit measures and/or stores values from the sensor, creating a capacitive humidity sensor. The processing unit may send the to a central CPU, wherein this data may be processed by the processing unit.

Abstract: An integrated stage for holding rapid test reagent cards includes two U-shaped sidewalls opposite to each other, a first receiving space, a second receiving space, and an elastic sheet. The U-shaped sidewalls cooperatively define the first receiving space. The second receiving space is formed in the first receiving space and is lower than the first receiving space. The elastic sheet is arranged on a short side of the first receiving space. The first receiving space is used for allowing the integrated stage to hold a first rapid test reagent card. The second receiving space is used for allowing the integrated stage to hold a second rapid test reagent card. The integrated stage utilizes the elastic sheet to hold and fix the first rapid test reagent card or the second rapid test reagent card.

Abstract: The Vehicle Alert System has an RF transmitter system which is activated by a steering wheel switch which in turn signals matching receivers in other nearby vehicles. Upon activation, multiple receivers on other so equipped vehicles will detect the originating direction of the alert. A single board computer (SBC) will then activate a respective speaker on the interior of the receiving vehicle to indicate the direction of the alert. A dash mounted panel with LED indicators may also be provided. The device is also capable of disabling any audio entertainment systems in the receiving vehicle thereby ensuring that the warning signal is heard. A bright front mounted purple light would alert pedestrians to potential danger.

Abstract: A method for adapting a driving strategy of a transportation vehicle driving in at least semi-automated state, wherein the adapting takes place based on at least one occupant condition, captured by at least one sensor system, of an occupant, wherein a sleep phase is determined by the at least one sensor system during a sleeping condition of the occupant, wherein the driving strategy is adapted by a control device based on the determined sleep phase. An apparatus for adapting a driving strategy of a transportation vehicle driving in at least semi-automated state having at least one sensor system for capturing an occupant condition of an occupant, and a control device for adapting the driving strategy, wherein the at least one sensor system determines a sleep phase during a sleeping condition of the occupant, and wherein the control device adapts a driving strategy based on the determined sleep phase.

Abstract: A driver monitor method and system for mitigating cognitive tunneling in a vehicle includes in-cabin video cameras, a heart rate monitor, an audio-visual device, and processing circuitry that detects eye gaze direction, eye lid position, and head position using images from the in-cabin video cameras, and measures heart rate variability using the heart rate monitor. A machine learning device uses the eye gaze direction, eye lid position, head position, and heart rate variability to predict whether a driver is transitioning into a cognitive tunneling state or a fatigue state. The audio-visual device outputs one audio-visual cue to mitigate the cognitive tunneling state and outputs a different cue to mitigate the fatigue state. The machine learning device learns by performing a reinforcement learning algorithm in which the audio-video device outputs a verification request and receives a response to the verification request that is fed back to the machine learning device.

Abstract: A driver monitoring system for a vehicle includes a camera and an ECU. The camera is disposed at an interior of the vehicle so as to view the face of a driver of the vehicle. The camera captures image data and the captured image data includes image data representative of the face of the driver. The ECU includes electronic circuitry and associated software, with the electronic circuitry including an image processor that processes image data captured by the camera. The ECU, responsive to processing by the image processor of image data captured by the camera, determines a heart rate of the driver.

Abstract: A system to generate an alert to wake a driver of a vehicle comprises at least one camera configured to sense EEG signals from the driver and a processing module, connected to the at least one camera, to process the EEG signals and to generate alarms.

Abstract: The present invention relates to a breath tester. The breath tester includes a sensor for sensing a mind-altering substance in breath from a blower (i.e., person blowing and providing a sample). A breath guide is provided for guiding the breath so that it is not returned to the blower. Advantageously, the guide guides the breath so that it is not returned to the blower to thereby minimise the likelihood of spread of infectious disease.

Abstract: A facial information detecting unit detects facial information related to facial features of a driver of a vehicle. A physical information detecting unit detects physical information related to physical features of the driver. A driving capability estimating unit estimates a driving capability of the driver on the basis of the facial information and the physical information. A facial expression estimating unit estimates the facial expression of the driver on the basis of the facial information. An emotion estimating unit estimates the emotion of the driver represented by the degree of comfort and the degree of activeness on the basis of temporal changes in the driving capability of the driver and the facial expression of the driver.

Abstract: Systems and methods monitor driver behavior for vehicular fleet management in a fleet of vehicles using driver-facing imaging device. The systems and methods herein relate generally to vehicular fleet management for enhancing safety of the fleet and improving the performance of the fleet drivers, and further relate to monitoring the operation of fleet vehicles using one or more driver-facing imaging devices disposed in the fleet vehicles for recording activities of the fleet drivers and their passengers, storing information relating to the monitored activities, selectively generating warnings related to the monitored activities, and reporting the monitored activities to a central fleet management system for use in enhancing the safety of the vehicles of the fleet and for helping to improve the performance of the fleet drivers.

Abstract: Technologies for providing a cognitive capacity test for autonomous driving include a compute device. The compute device includes circuitry that is configured to display content to a user, prompt a message to the user to turn user's attention to another activity that needs situational awareness, receive a user response, and analyze the user response to determine an accuracy of the user response and a response time, wherein the accuracy and response time are indicative of a cognitive capacity of the user to assume control of an autonomous vehicle when the autonomous vehicle encounters a situation that the vehicle is unable to navigate.

Abstract: A method and apparatus for detecting an on-duty state of a driver, a device, and a computer storage medium are provided. The method includes: determining that a vehicle-mounted image acquisition device is not blocked; extracting a face image from an image acquired by the vehicle-mounted image acquisition device when a vehicle is in a starting state, where the vehicle-mounted image acquisition device is mounted on the vehicle and is at least configured to acquire an image of a driving position region of the vehicle; and in response to the case that no face image is extracted from the acquired image, determining that the driver is off duty.

Abstract: A vehicle system is provided. The vehicle system includes a first driving input device, a second driving input device, and an autonomous vehicle control module. The autonomous vehicle control module is configured to monitor a driving behavior of a first driver operating the first driving input and to automatically transfer vehicle control of a vehicle from the first driver to the second driver when one or more requirements are met based on the driving behavior of the first driver. The autonomous vehicle control module is further configured to analyze switching of vehicle control between the first driver and the second driver.

Abstract: A number of illustrative variations may include a method or product for alerting or refocusing an inattentive driver.

Abstract: Systems and methods for driving. A driving data set for each of plurality of human-driven vehicles is determined. For each driving data set, exterior scene features of an exterior scene of the respective vehicle are extracted from the exterior image data. A driving response model is trained based on the exterior scene features and the vehicle control inputs from the selected driving data sets.

Abstract: A power consumption of a screen can be lowered while a motor vehicle is traveling, based on a line of vision of a user of the motor vehicle. An image of a surrounding area of the motor vehicle is captured, and a line of vision of the user of the motor vehicle is determined. The screen is switched to a normal mode of operation or a power-saving mode based on the determined line of vision. The power consumption of the screen in the power-saving mode is less than a power consumption of the screen in the normal mode of operation. The image of the surrounding area is displayed by use of the screen, at least while the screen is operated in the normal mode of operation.

Abstract: The embodiments of the present disclosure disclose a driving state analysis method. The driving state analysis method includes: performing fatigue state detection and distraction state detection for a driver on a driver image to obtain a fatigue state detection result and a distraction state detection result; in response to one of the fatigue state detection result and the distraction state detection result satisfying a predetermined alarm condition, outputting alarm information of a corresponding detection result that satisfies the predetermined alarm condition; and/or, in response to both the fatigue state detection result and the distraction state detection result satisfying the predetermined alarm condition, outputting alarm information of the fatigue state detection result that satisfies the predetermined alarm condition.

Abstract: Methods of assessing driver behavior include monitoring vehicle systems and driver monitoring systems to accommodate for a driver's slow reaction time, attention lapse and/or alertness. When it is determined that a driver is drowsy, for example, the response system may modify the operation of one or more vehicle systems. The systems that may be modified include: visual devices, audio devices, tactile devices, antilock brake systems, automatic brake prefill systems, brake assist systems, auto cruise control systems, electronic stability control systems, collision warning systems, lane keep assist systems, blind spot indicator systems, electronic pretensioning systems and climate control systems.

Abstract: A detection system may include a first sleeve shaped to receive and retain a buckle of a child safety seat. The first sleeve may include a first body portion shaped to receive and retain the buckle, a male connector portion integrally formed with the first body portion, and a transmitter electrically coupled to the male connector portion. The detection system may include a second sleeve shaped to receive and retain a buckle connector. The second sleeve may include a second body portion shaped to receive and retain the buckle connector, a female connector portion connected to the second body portion, and a battery electrically coupled to the female connector portion and configured to provide energy to the transmitter when the male connector portion communicates with the female connector portion. The transmitter may generate a signal, indicating a presence of a child, when the transmitter receives energy from the battery.

Abstract: A vehicle alert apparatus includes: a drowse detector that detects drowse of a driver; an inattention detector that detects inattention of the driver; a vehicle speed detector that detects the vehicle speed; a notification portion that executes alert for the driver; and an alert controller that controls the alert executed by the notification portion based on a detection result of the drowse of the driver, a detection result of the inattention of the driver, or a detection result of the vehicle speed.

Abstract: A system for visual awareness confirmation may include an image capture device, a global positioning system, a processor, and an input/output device. The image capture device may capture an image of an operating environment through which a vehicle is travelling. The GPS may determine an associated position of the vehicle and an orientation of the image capture device, and associate the position of the vehicle with the image captured by the image capture device. The processor may identify a feature of the operating environment and formulate a question related to the feature. The I/O device may present the question to an occupant of the vehicle and receive a response to the question from the occupant of the vehicle. The processor may cross-reference data associated with the feature and the response and update an object recognition database based on the cross-referencing.

Abstract: Systems and methods for verifying whether vehicle operators are paying attention are disclosed. Exemplary implementations may: generate output signals conveying information related to a first vehicle operator; make a first type of determination of at least one of an object on which attention of the first vehicle operator is focused and/or a direction in which attention of the first vehicle operator is focused; make a second type of determination regarding fatigue of the first vehicle operator; make a third type of determination of at least one of a distraction level of the first vehicle operator and/or a fatigue level of the first vehicle operator; and effectuate a notification regarding the third type of determination to at least one of the first vehicle operator and/or a remote computing server.

Abstract: A structured light assurance system for a head tracking system is disclosed. In embodiments, the structured lighting system includes structured light projectors mountable in an aircraft cockpit or other mobile platform, the projectors oriented toward a pilot or operator of the mobile platform for capturing three-dimensional (3D) imagery of the pilot (e.g., via offset imaging sensors) and determining from the captured 3D imagery a position and orientation (pose) of the pilot's head relative to the mobile platform and independent of the main headtracking system. The structured lighting system verifies the determined head pose (and may also self-calibrate) by identifying within the captured imagery static fiducial markers fixed to the cockpit in known locations. The structured lighting system forwards the determined head pose to the main headtracker for drift correction or initial head pose updating by the latter system.

Abstract: A method of controlling an aircraft includes tracking, using at least one sensor, one of an input by a pilot or a biometric parameter of a first pilot during flight of the aircraft. The method also includes determining a lack of attention by the pilot or a depth of sleep of the pilot based on the biometric parameter.

Abstract: The disclosure provides a method and an apparatus for determining coping capability boundary information of an unmanned vehicle and an electronic device. A set of indicator combination for evaluating a coping capability of an unmanned vehicle to be tested in a preset driving scenario is obtained, where the indicator combination includes at least one indicator item and an expected value range of the indicator item; historical driving behavior information of the unmanned vehicle to be tested is obtained according to a scenario feature corresponding to the preset driving scenario and the indicator item; and coping capability boundary information corresponding to the indicator combination of the unmanned vehicle to be tested in the preset driving scenario is obtained according to the historical driving behavior information, which realizes the coping capability boundary of the unmanned vehicle corresponding to the indicator combination that need to be tested.

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.