911 results about "Remote computing" patented technology

Methods, systems and apparatuses for infant and child monitoring, for changing pads, and for tracking heath. One system is an intelligent changing pad system for infants and children that includes a main body with a changing surface, a scale integrated within the changing surface for measuring weight, a plurality of sensors configured to monitor health-related metrics of a human including temperature and hydration levels, a graphical user interface for displaying the human's health metrics and alerts, and a wireless communication system for transmitting the monitored data to a remote computing device.

The present disclosure relates to a non-invasive cardiac monitoring device that records cardiac data to infer the onset of a human physiological characteristic, such as the onset of cardiac arrhythmia, and recommends treatment / intervention. Some embodiments include clustering patient data history to determine efficacy of treatment based on cluster groups corresponding to the patient data. In further embodiments, processing of detected cardiac heart rate signals can be partially processed in the wearable cardiac monitoring device and partially processed in a remote computing system. Some embodiments include a wearable cardiac monitoring device that is attached to a patient for extended periods of time to enable long-term detection of cardiac heart rate signals.

The present invention relates to a computer implemented method for monitoring the blade (210) of a wind turbine (200), the method comprising fixing a sound acquisition device (110) to an outer surface of a tower (220) of the wind turbine (200), wherein the sound acquisition device (110) comprises a microphone, a sound encoder and a communication unit, acquiring a sound sample of sound emitted by the blade (210) during operation of the wind turbine (200), encoding the sound sample into a raw audio file, sending the raw audio file to a remote computing device (120), preprocessing the raw audio file, generating a spectrogram of the pre-processed audio file, detecting an anomaly by applying an image analysis machine learning model to the spectrogram, classifying the anomaly to a damage type by applying a damage type feature analysis machine learning model to frequency domain features of the audio file at the time and frequency of the anomaly, determining a damage location by applying a damage location feature analysis machine learning model to frequency domain features of the audio file at the time and frequency of the, and tracking of a damage severity by extracting audio features of the audio file at the time and frequency of the anomaly indicative of the damage severity depending on the damage type.

Device, system, and method of autonomous driving and tele-operated vehicles. A vehicular Artificial Intelligence (AI) unit, is configured: to receive inputs from a plurality of vehicular sensors of a vehicle; to locally process within the vehicle at least a first portion of the inputs; to wirelessly transmit via a vehicular wireless transmitter at least a second portion of the inputs to a remote tele-driving processor located externally to the vehicle; to wirelessly receive via a vehicular wireless receiver from the remote tele-driving processor, a remotely-computed processing result that is received from a remote Artificial Intelligence (AI) unit; and to implement a vehicular operating command based on the remotely-computed processing result, via an autonomous driving unit of the vehicle or via a tele-driving unit of the vehicle.

Infusion devices are disclosed herein. The present technology includes, for example, an infusion device for delivering a medicament to a body of a user. The device can comprise an insertion assembly comprising a cannula, a reservoir assembly comprising a reservoir configured to receive a medicament, and a trigger assembly configured to trigger insertion of the cannula into the user in response to a command from a remote computing device communicatively coupled to the infusion device.

Methods and systems are provided for improving remote computing experiences. The methods leverage modified PC or console architectures, which enable both local and remote console connections. The systems operate with multiple devices through a peer-to-peer connection. In the context of gaming, the systems are engineered to address obstacles such as low upstream rates and limited bandwidth or quality of service. An AI trained on play style is used as a substitute for a low bandwidth client. Also, methods are provided for inviting remote players, transferring control to a remote user, managing controller connections, and addressing low bandwidth situations using adaptive bitrate. The enhancement of connection, single encoding, and transmission processes contributes to a superior computing and / or gaming experience for all players, irrespective of their bandwidth or quality of service. Related networks, models, apparatuses, devices, techniques, articles, architectures, packets, manifests, tables, data storages, and graphical user interfaces are provided.

Implementations of this disclosure provide for automated monitoring of configuration parameters of a primary data intake and query system instance operating within a distributed deployment environment. Further implementations provide for automatically generating instructions in response to a detected change in a configuration parameter of the primary data intake and query system instance and transmitting those instructions to one or more secondary data intake and query system instances. The instructions, upon execution by one or more processors, cause the configuration parameters of the one or more secondary data intake and query system instances to be updated in accordance with the detected change in the configuration parameter of the primary data intake and query system instance.

A remote signal-based method and system of performing an authentication of video of a person in order to authorize access to a secured resource. The system and method are configured to cause a visual and / or audio pattern to be displayed in a remote computing device while collecting image data from the same device. The image data is evaluated to determine whether the appropriate response from the person is present. If the response is present, the system determines the image is authentic and can verify an identity of the person, and can further be configured to automatically grant the person access to one or more services, features, or information for which he or she is authorized.

A drive unit adapted for use in farm equipment includes a first transceiver and a processing module. The processing module is configured to receive first data from the farm equipment, including sensor data and / or controller data, and integrate the received first data with additional second data indicating an agricultural prescription for a geographic region to form agricultural data. The processing module is also configured to apply one or more spatial filter constraints and temporal filter constraints to the agricultural data and then compute, from the filtered agricultural data, a difference between actual execution of one or more parameters of the agricultural prescription and expected execution of the one or more parameters. The processing module is further configured to, when the difference exceeds a predefined stored threshold, autonomously generate and transmit to a remote computing device, a settings alert to thereby trigger generation of an updated agricultural prescription.

Systems and methods for on-board selection of data logs for training a machine learning model. The methods include, by an autonomous vehicle, receiving sensor data logs corresponding to surroundings of the autonomous vehicle from a plurality of sensors, identifying one or more events within each sensor data log. The methods also include, for each sensor data log: analyzing features of the identified one or more events within that sensor data log for determining whether that sensor data log satisfies one or more usefulness criteria for training a machine learning model, and transmitting that sensor data log to a remote computing device for training the machine learning model if that sensor data log satisfies one or more usefulness criteria for training the machine learning model. The features can include spatial features, temporal features, bounding box inconsistencies, or map-based features.

A system includes a refuse vehicle, multiple refuse containers, and a remote computing system. The refuse vehicle includes a telematics unit. The refuse containers are positioned at different customer locations. Each of the refuse containers include a sensor configured to measure a fill level and a wireless transceiver. The remote computing system includes processing circuitry configured to obtain a status of the refuse vehicle from the telematics unit. The processing circuitry is also configured to obtain sensor data from the refuse containers indicating the fill level of each of the refuse containers. The processing circuitry is also configured to determine a route for the refuse vehicle based on the status of the refuse vehicle and the sensor data obtained from the refuse containers. The processing circuitry is also configured to transmit the route to the telematics unit of the refuse vehicle.

Turntable control systems are disclosed. A playback device can include an analog audio source component such as a turntable. The playback device is configured to cause playback of first audio based on analog audio signals generated by the analog audio source component. Based on an indication that analog audio signals are no longer being generated, the playback device requests, via a network interface, audio content from one or more remote computing devices. The request can include identifying related content based on the first audio. The playback device receives, via the network interface, second audio content from, and causes playback of second audio based on the second audio content.

A system for criteria evaluation can include a memory device, a data processing platform with an evaluation engine, and a human interface device. The system can include a processor coupled to the memory device and connected to a remote computing device and to the data processing platform. The processor can be configured to an execution request and input data, to convert the input data into a first data format to generate a first data file having multiple data items, to transmit the first data file to the evaluation engine, and to cause the evaluation engine to process the first data file, to generate a set of intermediate scores, a combined score, and a message for the combined score and for each intermediate score, to generate a file having a representation of the combined score, intermediate scores, and corresponding messages, to present the converted file on a user-interface device.

A method includes receiving, by a computing device, first data from a sensor, the first data including a first timestamp and an event that triggered an alarm; receiving, by the computing device, second data from a remote computing environment, the second data including a second timestamp different from the first time stamp and specifying an action taken in response to the alarm; and rendering a screen on a display of a computing device, the screen including the first and second data represented as a sequence of events ordered by time based on the first and second timestamps.

A method of operating a device that interacts with a physical environment includes determining to take an action on the physical environment wherein the action is based on an output of a computing task, generating a risk level that estimates a risk of physical harm associated with taking the action within the physical environment, obtaining a performance indicator of a communication network between the device and a remote computing device, and determining, based on the risk level and the performance indicator, whether to offload the computing task to the remote computing device or to perform the computing task locally. Related devices are also disclosed.

Turntable control systems are disclosed. A playback device can include an analog audio source component such as a turntable. The playback device is configured to cause playback of first audio based on analog audio signals generated by the analog audio source component. Based on an indication that analog audio signals are no longer being generated, the playback device requests, via a network interface, audio content from one or more remote computing devices. The request can include identifying related content based on the first audio. The playback device receives, via the network interface, second audio content from, and causes playback of second audio based on the second audio content.

Described herein are techniques and mechanisms for geographic routing. A database system may store data records corresponding with user accounts and including historical routing information characterizing geographic routes determined in association with the user accounts. A communication interface may receive a request from a remote computing device authenticated to a user account and identifying an initial geographic location and a terminal geographic location. A geographic routing engine may determine a route including turn-by-turn instructions for moving from the initial geographic location to the terminal geographic location. A generative language model interface may complete a navigation prompt to include novel text identifying supplemental route information. A user interface generation interface may transmit an instruction to the remote computing device to present a user interface that includes the turn-by-turn instructions and some or all of the supplemental route information.

The present invention relates to a bearing ball inspection system configured for automated non-destructive testing of spherical components. In an exemplary embodiment, a bearing ball is delivered to an inspection point by a rail guide and supported by a positioning wheel configured to rotate the bearing ball during imaging. Cameras capture images of different surface regions under controlled illumination provided by ultraviolet or white-light sources. A control system comprising a microprocessor and memory executes a machine learning model to analyze the images and detect surface defects without requiring manual interpretation. Based on the analysis, a sorting mechanism directs the bearing ball to a pass or fail location. The system further includes communication interfaces configured to transmit inspection results to a remote computing device and receive control instructions. This integrated architecture enhances inspection reliability, improves throughput, reduces inspection variability, and supports centralized management of inspection systems across distributed production sites.

A measurement system including: a. a sensor system that includes: i. a Light Detection And Ranging (LiDAR) module with a laser emitter configured to generate measurement data representing raw range measurements to measure heights of a crop, and ii. a computing module, including: at least one wireline / wired communications module configured to communicate with the LiDAR module for the computing module to acquire the measurement data from the LiDAR module; and at least one wireless communications module configured for the computing module to communicate using a wireless connection / link with a remote computing system that is configured receive the acquired measurement data and to determine / calculate / estimate phenotypic quantities of the crop based on the measured heights for the purpose of high-throughput plant phenotyping (HTPP); and b. a mobile / vehicle mount configured to hold / support the sensor system above the crop and to direct the laser emitter towards the crop.

A smart parking recommendation system for energy conservation in a vehicle includes a smart parking recommendation application (SPRA) that determines that enabling conditions have been met and obtains from sensors and actuators of the vehicle, information about the vehicle and the vehicle's environment. The SPRA monitors information from the sensors and actuators and obtained from remote computing resources, a vehicle operator's current vehicle usage and determines a typical parking duration for a current parking location, and categorizes the current parking location. The SPRA utilizes an artificial intelligence (AI) or machine learning (ML) model to suggest a parking spot within the parking location that satisfies user and energy consumption passenger compartment thermal quality preferences. The SPRA selectively parks or guides the vehicle to be parked within a parking spot that satisfies the constraints and preferences, and minimizes energy consumption for maintaining passenger compartment and battery thermal qualities.

Systems, methods, and devices relate to a smart sensor usable for monitoring materials within container systems. A smart sensor device may include a base portion provided on an exterior of a tank containing a material, and an internal cavity housing a sensor to detect a level of the material within the tank through an outer surface of the container. The smart sensor device may track readings over time, from one or more container systems, and identify various usage trends. Usage trends and safety alerts may include current supply levels, historical usage rates, and low-level alerts. Such alerts and notifications may be communicated to a dashboard on a remote computing device.

The invention discloses a multi-view three-dimensional target detection method and system for an operation robot, and computer equipment, and the method achieves the fusion of multi-angle information through the installation of an image sensor and the simultaneous collection of multi-view images from different angles. The multi-view-angle image fusion technology can effectively compensate for a recognition blind area caused by shielding or complex object form under a single view angle, so that the accuracy of target detection is improved; the spatial feature extraction module can adaptively process differences of the target objects in size and form, has high robustness in detection of large-size and small-size target objects, and avoids the problem of insufficient sensitivity to different target sizes in other methods. The collected images are transmitted to the remote server in real time through the local area network for calculation processing, the bottleneck that local calculation resources are limited is avoided, and the efficiency of model reasoning and target detection is improved through the powerful remote calculation capacity.

The invention discloses an equipment operation state data self-adaptive processing method based on a cloud-side-end collaborative architecture, and the method comprises the steps: firstly collecting various types of data from different equipment or parts, and evaluating the analysis demands of each type of data based on the collected data, including the needed calculation time, the time delay requirement and the calculation power size; the requirements of different data on real-time performance are understood; according to characteristics and analysis requirements of data, after hardware systems of a cloud end, an edge end and an equipment end are configured in advance and real-time state data of equipment are received, configuration of the cloud end, the edge end and the equipment end is directly called to conduct self-adaptive matching of data processing modes, and the self-adaptive matching comprises a local computing mode, a far-end computing mode and a data uplink / model downlink mode; then the computing tasks are distributed to the cloud end, the edge end and the equipment end; by calculating the execution result of the task, the feedback result is applied to the decision of the monitoring system, and the changing state and requirement are responded in time, so that the requirements of high performance, low time delay and accurate perception of the system are met.

A controller device is configured to (1) transmit, to a first remote computing device associated with a first music service, a request for a session token that is to be used for identifying an audio playback system with the first music service, (2) receive a first token for authenticating communications from the audio playback system to the first music service, (3) receive first user input indicating a query, (4) transmit a request comprising the first token to the first remote computing device to perform a search in accordance with the query, (5) present indications of music content provided by the first music service, (6) receive second user input indicating selection of given music content provided by the first music service, and (6) based on the second user input and a respective identifier for the given music content, cause at least one playback device to play back the given music content.

Systems and methods for using machine-learning techniques to provide risk assessment based on multiple sources of data are described herein. Data about an entity can be received, and the data can be authenticated. Integrated risk data about the entity can be received. The integrated risk data can include traditional risk assessment data and nontraditional risk assessment data. An integrated risk assessment value can be determined based on the integrated risk data by aligning a first output from a first risk assessment model and a second output by a second risk assessment model. A responsive message including at least the integrated risk assessment value and associated information for the entity can be transmitted to a remote computing device for use in controlling access of the entity to one or more interactive computing environments.

Embodiments of the disclosure provide for initiating remote transfers of vehicle data from a vehicle recording system aboard a vehicle. Some embodiments obtain a request to remotely download vehicle data from a vehicle recording system to a remote computing environment without physically accessing the vehicle recording system and while a vehicle containing the vehicle recording system is in motion. Some embodiments initiate, based at least in part on the request, a remote transfer of the vehicle data from the vehicle recording system to the remote computing environment. In some embodiments, the remote transfer occurs without requiring a user to physically access the vehicle recording system. In some embodiments, the remote computing environment is accessible to a user-controlled device to provide the vehicle data.

An example computer-implemented method is provided that includes: determining a remote computing system associated with a task queue comprising a plurality of processing tasks, wherein the remote computing system updates, based on a hidden schedule, prerequisites for the plurality of processing tasks; initiating the plurality of processing tasks according to a test task schedule constructed to probe the hidden schedule of the remote computing system; receiving a plurality of responses respectively for the plurality of processing tasks, wherein a respective response corresponds to at least one of a success indicator or a failure indicator; estimating, based on the plurality of responses, a prerequisite processing time of the hidden schedule; and generating, based on the estimated prerequisite processing time, a main task schedule for the task queue.

A system includes a sensor at a first location proximate a polluting system to collect environmental data of a first type and an energy consumption monitoring platform at the first location to generate energy consumption data associated with the polluting system. The system includes a controller coupled to the sensor and the monitoring platform to direct communication of environmental data and energy consumption data to a remote computing server. A direct air capture (DAC) system at a second location removes a selected pollutant from ambient air and isolates a concentrated form of the pollutant as a raw material. A derivative product creation (DPC) system at a third location produces a derivative product from the raw material. The remote computing system accumulates pollutant credits based on removal of the selected pollutant by the DAC system and dissipates pollutant credits based on some of the energy consumption data.

A system for criteria evaluation can include a memory device, a data processing platform with an evaluation engine, and a human interface device. The system can include a processor coupled to the memory device and connected to a remote computing device and to the data processing platform. The processor can be configured to receive an execution request and input data, to convert the input data into a first data format to generate a first data file, as well as to cause the evaluation engine to process the first data file by converting a plurality of subsets of data items into a corresponding plurality of sets of parameter values, to generate a set of scores and a message for the scores, to generate a file having a representation of the scores, and corresponding messages, to present the converted file on a user-interface device.

Systems, methods, and computer-readable storage media for integrating issuing processor computing systems over a communications network are provided. A connection can be established with a remote computing device over a communications network. One or more parameters of a card program and a pointer to a computing device of a computing system can be received. A data object can be generated. An event regarding an exchange card can be detected. A message regarding the event can be transmitted to the computing device of the computing system using the pointer. The computing device can forward data of the message to an issuing processor computing system.