26 results about "Ambient sensing" patented technology

A digital-physical twin system and method for environmental process modeling and forecasting are disclosed. The system includes a digital twin server configured to receive environmental data from a real-world environment, including hyperspectral and spectroscopic imaging, simulate environmental process transitions using a predictive model based on the environmental data, and generate parameters for a physical experiment designed to validate or refine the predictive model. A physical twin device, comprising a scaled and instrumented representation of the real-world environment, is configured to execute the physical experiment under controlled conditions. Experimental data is returned to the digital twin to iteratively refine the predictive model in a closed-loop learning cycle using self-supervised and reinforcement learning. The system supports spatially-spectrally selective experimentation, including fluorescence spectroscopy, to enhance environmental sensing. This architecture enables scalable, sample-efficient modeling of processes such as post-wildfire hydrology, vegetation regrowth, and soil change.

The invention relates to the technical field of multi-parameter physiological signal monitoring, in particular to an intelligent laryngeal mask and respiration monitoring system which comprises a laryngeal mask body and a multi-parameter optical fiber measuring system. The optical fiber sensing unit is embedded into the laryngeal mask main body and comprises an acoustic sensing part and an environment sensing part with a functional coating; the signal processing unit demodulates and couples an original signal, combines physical parameters of the coating and inputs the original signal into a multi-parameter coupling correction model, and decouples independent and accurate multiple parameters; and the target thickness of the coating is determined through acoustic correction error minimization and comprehensive calculation that the sensitivity of each environmental parameter reaches the standard. The system can generate an abnormal ventilation alarm and feed back to control the breathing machine. Multi-parameter synchronous monitoring can be achieved, coating interference is eliminated, and breathing management safety and practicability are improved. In the actual application process, the abnormal breathing function caused by abnormal breathing machine state or abnormal laryngeal mask position of a user can be found in time, the purpose of early discovery and early intervention can be achieved, and malignant events are avoided.

The present application relates to a neural network system, including at least: a multi-modal input neural network, configured to perform first encoding on multiple pieces of acquired environment sensing data corresponding to multiple input modalities to obtain multiple pieces of feature data for the multiple pieces of environment sensing data and perform first fusion on the multiple pieces of feature data to obtain fused multi-modal feature data; an encoder neural network, configured to at least perform second encoding on the multi-modal feature data to obtain multi-scale feature data, wherein the encoder neural network includes, for the multi-modal feature data, multiple stages respectively including at least two parallel branches for different resolutions; a decoder neural network, configured to decode the multi-scale feature data to obtain decoder output data; and a multi-modal output neural network, configured to obtain an environment sensing result when the decoder output data is used. The present application further relates to a training method, an environment sensing system and method, and a computer program product.

A control device may be configured to control an electrical load (e.g., an exhaust fan) for controlling an environmental characteristic (e.g., a humidity level) in a space. The control device an actuator received in an opening in a front surface of a bezel, which may comprise first and second side portions on each side of the actuator. The control device may comprise an environmental sensing circuit for sensing the environmental characteristic in the space, and a control circuit configured to control the electrical load in response to actuations of the actuator and / or the environmental sensing circuit. The bezel may comprise a ventilation portion on the first or second side portion of the front surface. The ventilation portion may have apertures extending from the front surface to a cavity in the bezel. The environmental sensing circuit may be configured to receive air from outside of the bezel via the cavity.

A headlight is provided for a motor vehicle. The headlight includes: a light module, which includes a cornering light or illuminated lettering; an environment sensing element, which includes an optical environment sensor, a radar, or a camera; a housing; and a changing device. The housing has a region into which the light module or the environment sensing element is displaceable, and the changing device is configured to carry out a change between the light module and the environment sensing element in the region.

The present application relates to the field of intelligent control and photoelectric detection of aviation obstruction light, in particular to an aviation obstruction light adaptive dimming system based on wireless networking; the system comprises an environment sensing module, a feature coupling module, a control solving module and an adaptive driving module; the ambient light intensity value, the background environment color temperature value and the space scattering evaluation value are collected, the multi-dimensional light feature coupling compensation coefficient is solved, the background environment light comprehensive interference value is corrected and generated, and the target light source effective light intensity and its ratio are set as the dynamic ambient light signal-to-noise ratio; then the preset visual compensation model is input, the visual saliency maintenance index is solved and the dimming control instruction is generated, the driving current and the pulse duty cycle are adjusted, so that the visual contrast of the target light source is maintained within the preset safety interval, the present application can ensure the long-distance warning and recognition ability, suppress the near-distance glare and halo aggravation, and take into account the warning effect, thermal stability and device life.

The invention relates to a method and a device for online calibration of an environmental sensing system in a motor vehicle, the method comprising the following steps: during the vehicle's journey, the environmental sensing system continuously senses positioning data of objects in its surroundings and transmits them wirelessly to a calibration service, together with motion data of the vehicle; the calibration service has access to a road signature in the form of a digital map in which the positions of permanent stationary signature objects that can be sensed by the environmental sensing system are recorded along the road traveled by the vehicle, and filters the positioning data transmitted by the environmental sensing system according to the signature objects; based on the signature object positioning data and on the motion data, the calibration service tracks the vehicle's motion on the digital map; by comparing the signature object positioning data with the positions of the signature objects relative to the vehicle on the digital map, the calibration service calculates correction data that are indicative of calibration errors of the environmental sensing system and transmits them to the vehicle; the environmental sensing system recalibrates based on the correction data.

An mmWave radar system includes an mmWave radar sensor, an interactive device, and a control unit. The mmWave radar sensor is used to detect environmental data. The control unit is coupled to the mmWave radar sensor and the interactive device, and used to process the environmental data, and operate the interactive device according to the environmental data.

The application relates to a power generation equipment detection method and system based on a large model, which comprises the following steps: generating a power generation equipment detection task and an equipment detection time period in sequence through a preset power generation detection large model, selecting a power generation equipment detection personnel, setting a test detection task, and acquiring real-time environment sensing data; an estimated environment interference value of a target detection area in the equipment detection time period is generated according to the real-time environment sensing data; it is judged whether the estimated environment interference value is greater than or equal to a preset environment interference safety threshold value; if the judgment is yes, a detection task correction instruction is generated, and the power generation equipment detection personnel is prompted to adjust the detection time according to the detection task correction instruction. The application realizes the judgment of detection interference based on the actual environment, thereby improving the safety and feasibility of the detection task execution, and realizing efficient and high-safety power generation equipment maintenance.

Apparatuses and methods for an ambient sensing operation. A method of a network entity for the ambient sensing operation includes: receiving, from at least two sensor nodes comprising a first sensor node and a second sensor node, first information from the first sensor node and second information from the second sensor node; identifying a data model included in the first and second information, respectively; aggregating each of the data model included in the first and second information into a single data model, wherein the data model includes zone information, ambient context detection information, and sensor information; generating an event report based on the single data model; and transmitting the event report to a sensing analyzer.

A system and method for distributed fiber-optic sensing (DFOS) event classification utilizing an energy-based generative artificial intelligence model. The method leverages a joint energy-based model (JEM) to ingest both human-annotated labeled sensing data and abundant unlabeled ambient sensing data collected from a DFOS interrogator. The joint energy-based model models the data distribution of high-dimensional spatial-temporal sensing signals, enabling semi-supervised classification that improves generalization, provides calibrated uncertainty estimates, and avoids domain-specific data augmentation constraints. The system further provides a test-time refinement mechanism utilizing Stochastic Gradient Langevin Dynamics (SGLD) updates in the input data space to remove the effects of sensor noise and recover discriminative classification accuracy upon deployment in pre-existing telecom cable networks.

A sensor module for environmental sensing in an electronic system with a PCB. The sensor module includes a connector for mounting to the PCB that forms a pivotable connection to an interconnect. A sensor may be coupled to the interconnect at an end opposite the connector such that, by pivoting the interconnect relative to the connector, the height of the sensor above the PCB can be adjusted. The sensor module may include features that facilitate ease of use, including receptacles that each securely engages one or more leads of a sensor, a separable cover with openings sized to dictate the number of leads inserted into each opening; features that allow the interconnect to engage the connector in a single orientation and / or features that set the tilt angle of the interconnect relative to the connector.

A method for detecting surgical information is to be implemented by a wearable detection device. The wearable detection device is configured to detect a sensor chip that is disposed in a suture button for surgery. The method includes: detecting an ambient noise so as to generate an ambient sensing signal; detecting the sensor chip so as to generate a tension sensing signal; subtracting the ambient sensing signal from the tension sensing signal so as to generate a plurality of tension differences corresponding respectively to a plurality of scanning frequencies; and selecting one of the plurality of scanning frequencies that corresponds to a largest one of the plurality of tension differences as a resonance frequency, and obtaining a suture tension value based on the resonance frequency.

The embodiment of the invention provides a method for executing repositioning, a positioning device and a computer readable storage medium. The method comprises the following steps: executing SLAM (Simultaneous Localization and Mapping) to obtain a plurality of first key frames, and sensing first environment sensing information corresponding to each first key frame when each first key frame is obtained; when the positioning device executes the repositioning mechanism, sensing current environment sensing information, and at least comparing the current environment sensing information with the first environment sensing information corresponding to each first key frame to find out at least one second key frame from the plurality of first key frames; and performing a relocation mechanism based on the at least one second key frame.

The invention provides an air conditioning box detection system and an operation method thereof, and the operation method comprises the following steps: an arithmetic device obtains a set target value, and the value domain of the set target value comprises a plurality of intervals; the environment sensor collects an actual target value of an operating environment of the air conditioning cabinet. The calculation device calculates a control target value on the basis of one of the plurality of sections corresponding to the actual target value and the conversion function, and sets an adjustable element of the air conditioning cabinet on the basis of the control target value. The element sensor collects an actual control value when the air conditioning cabinet operates. The arithmetic device generates data points of a two-dimensional residual analysis chart according to a difference between a set target value and an actual target value and a difference between a control target value and an actual control value. When the data point is located in the warning range, the arithmetic device sends out warning information.

A Live Inventory System and Process for use with an active object storage structure, such as a refrigerator (11 A, 11 B). The disclosed System and Process includes a method for dynamically identifying an object being placed in or taken out of a refrigerator, the method comprising: detecting a motion of an object at the refrigerator using one or more sensors coupled with the refrigerator or sensing a refrigerator open condition (11 A, 11 B); acquiring one or more images of at least a part of the object as the object is being placed inside the refrigerator or removed from the refrigerator (11 A, 11 B); and using the acquired images, tracking the motion of the object, determining a direction of the motion of the object, and identifying the object using a trained ML (Machine Learning) model, the ML model trained, at least in part, using a crowd-based training method including acquisition of images from other refrigerators (36).

Implementations can determine an ambient state that reflects a state of a user and / or an environment of the user based on an instance of sensor data. The ambient state can be processed, using an ambient sensing machine learning (ML) model, to generate suggested action(s) that are suggested to be performed, on behalf of the user, by an automated assistant. In some implementations, a corresponding representation of the suggested action(s) can be provided for presentation to the user, and the suggested action(s) can be performed by the automated assistant in response to a user selection of the suggested action(s). In additional or alternative implementations, the suggested action(s) can be automatically performed by the automated assistant. Implementations can additionally or alternatively generate training instances for training the ambient sensing ML model based on interactions with the automated assistant.

The invention discloses a telemetry fishing ground prediction system, which is used for transmitting information of at least one on-demand fishing ground in an on-demand field to terminal equipment of a user, and comprises a plurality of sensing data acquisition units, a storage unit and an operation device, the sensing data acquisition units are arranged in the on-demand field and used for sensing environment, and the storage unit is used for storing the sensing data in the on-demand field and used for storing the sensing data in the on-demand field. And generating a plurality of current sensing data of the plurality of positions. The storage unit stores a plurality of current sensing data and a plurality of historical sensing data of a plurality of positions. The arithmetic device establishes a fishery prediction model of the on-demand field according to the plurality of historical sensing data, predicts a fish school distribution probability model of the on-demand field within a specific time by using the fishery prediction model according to the plurality of current sensing data, and then generates on-demand fishery information to the terminal device of the user according to the fish school distribution probability model.

The invention provides a multi-mode-based positioning early warning method, system and device and a medium, and belongs to the technical field of personnel safety early warning, and the method comprises the steps: receiving position sensing data, visual sensing data, motion posture data and environment sensing data in real time; processing the position sensing data, the visual sensing data, the motion posture data and the environment sensing data to realize time alignment and coordinate unification; establishing a three-dimensional motion track of the person according to the processed position sensing data, visual sensing data and motion posture data; based on a risk assessment model, generating a risk assessment result according to the three-dimensional motion track and the processed data; generating a corresponding risk early warning scheme according to the risk assessment result; and sending the risk early warning scheme to a terminal device to carry out early warning prompt, uploading the processed data to a cloud platform, and receiving an optimized algorithm and an optimized model sent by the cloud platform. According to the invention, high-precision positioning and dynamic real-time early warning are realized.

A control device may be configured to control an electrical load (e.g., an exhaust fan) for controlling an environmental characteristic (e.g., a humidity level) in a space. The control device an actuator received in an opening in a front surface of a bezel, which may comprise first and second side portions on each side of the actuator. The control device may comprise an environmental sensing circuit for sensing the environmental characteristic in the space, and a control circuit configured to control the electrical load in response to actuations of the actuator and / or the environmental sensing circuit. The bezel may comprise a ventilation portion on the first or second side portion of the front surface. The ventilation portion may have apertures extending from the front surface to a cavity in the bezel. The environmental sensing circuit may be configured to receive air from outside of the bezel via the cavity.

The invention discloses a display device, which belongs to the technical field of display and comprises a power supply manager used for providing a power supply signal for the display device, a light sensor used for generating an environment sensing signal according to the illumination intensity of ambient light, and a processor used for determining the environment where the display device is located according to the environment sensing signal, when it is determined that the display device is in the outdoor environment, a system-on-chip in an outdoor mode is started, and in the outdoor mode, the initial gamma value is adjusted to be an outdoor gamma value through the system-on-chip according to the environment sensing signal; and a backlight driver adjusts the initial backlight brightness value to be an outdoor backlight brightness value according to an electric quantity signal monitored by the power manager and the environment sensing signal, and then a display device displays an outdoor picture according to the outdoor backlight brightness value and the outdoor gamma value. Therefore, the readability of a display picture is improved while the power consumption and the heat surge of the display device are reduced.

The present disclosure provides an integrated system designed for the dynamic optimization of HVAC efficiency and lifestyle improvement based on real-time biomarker and environmental data. Incorporating a smart ring with biomarker sensors and an always-plugged-in environment sensing device, the system provides intelligent suggestions for HVAC settings and identifies potential causes of discomfort, enhancing comfort, health, and overall well-being.

Computing systems, computing devices, and computer-implemented methods are provided. In one aspect, a mobile computing device includes a laser-based sensor such as a laser detect auto-focus sensor of an image capture assembly having an image capture device. The mobile computing device further includes one or more computing devices configured to perform one or more operations. For instance, the operations may include generating, with one or more laser-based sensors of a mobile computing device over a period of time, sensor data indicative of a distance between the mobile computing device and at least one surface, and generating, with one or more machine-learned models based on the sensor data, ambient sensing data including at least one biometric associated with a user of the mobile computing device.

A headlight (100) for a motor vehicle, wherein the headlight (100) comprises: a light module (104), in particular a turn light or a luminous sign; the invention relates to a headlight (100) comprising a light module (101), and an environment sensing element (105), in particular an optical environment sensor, radar or camera, in which the headlight (100) comprises a housing (101), in which the headlight (100) comprises an area in which the light module or the environment sensing element (105) can be displaced, in which the headlight (100) comprises a replacement device, in which the light module or the environment sensing element (105) can be displaced. Wherein a replacement between the light module (104) and the environment sensing element (105) can be carried out in this region by means of the replacement device. A method for operating a headlamp (100). A motor vehicle comprising a headlamp (100).

A method of processing wireless signals suggests separately optimising analogue and digital beamformers, notably first optimising the analogue beamformer in a conventional manner, and afterwards optimising the digital beamformer by mapping the optimisation problem into a least squares problem with quadratic constraints, which is convex and thus open to an algebraic solution. When designing the beamformers the target is to maintain the SI leakage below a predetermined threshold, such that the residual leakage can be satisfyingly cancelled in a conventional manner in the receiver's analogue and digital SI cancellers. The beamformer design further targets to optimise for maximum SNR. Designing the digital beamformer may comprise applying numerical methods or applying a CVX process. The combined efforts of optimising the beamformers for minimum SI leakage and maximum SNR result in optimised sensing and communication metrics.

The present disclosure provides an integrated system designed for the dynamic optimization of HVAC efficiency and lifestyle improvement based on real-time biomarker and environmental data. Incorporating a smart ring with biomarker sensors and an always-plugged-in environment sensing device, the system provides intelligent suggestions for HVAC settings and identifies potential causes of discomfort, enhancing comfort, health, and overall well-being.