225 results about "Contactless sensor" patented technology

The invention discloses a sleep state monitoring and analyzing system based on multi-sensor fusion, and relates to the technical field of health monitoring, the sleep state monitoring and analyzing system comprises a multi-modal sensor module used for collecting multi-dimensional data related to a sleep state, the multi-dimensional data comprises a bio-electricity signal, a physiological parameter, body movement data and an environment parameter, and the multi-modal sensor module is used for collecting the multi-dimensional data; the multi-modal sensor module comprises a non-contact sensor, a flexible electronic skin sensor and a bio-electricity signal sensor, and the data fusion and processing module is used for carrying out preprocessing, dynamic self-adaptive fusion and federal learning modeling on collected original data. According to an existing contact type sleep state monitoring scheme, more flexible and accurate sleep state data are realized through a non-contact type monitoring sensor in cooperation with dynamic adjustment of sleep monitoring content and adjustment of weights of various sensors for monitoring the sleep state; and a more accurate and intuitive reference report is provided for the sleep state and the health state of the subsequent user.

A header height sensor and adjustment system capable of differentiating between the ground and object above the ground. The system is able to differentiate between lodged / downed stalks and the ground. The system includes one or more non-contact sensors, such as Time-of-Flight (ToF) sensor and / or radar sensors. The system may optionally include a contact sensor. The disclosed header height sensor and adjustment system is able to automatically or semi-automatically adjust the height of the header in response to detected objects and terrain in order to maximize yield (e.g., lowering to harvest lodged stalks) and avoid header damage (e.g., raising to avoid debris or contour terrain).

The invention particularly relates to a quartered sleep state monitoring method and a quartered sleep state monitoring system based on a non-contact vibration sensor. The quartered sleep state monitoring method and the quartered sleep state monitoring system are particularly suitable for realizing non-sensitive sleep quality evaluation through an intelligent bed in a family environment. Comprising the following steps that 1, vibration signals of a human body in the sleep process are continuously collected through a non-contact vibration sensor; step 2, preprocessing the vibration signal, including denoising and segmentation processing, to obtain time domain vibration data; step 3, performing frequency domain transformation on the time domain vibration data, and extracting frequency domain features including respiratory rate, heart rate and heart variability parameters; 4, time alignment is carried out on the frequency domain features and sleep staging labels synchronously obtained through a polysomnography, and a training data set is constructed; an XGBoost classification model based on time-frequency domain feature fusion is provided, fundamental frequency and harmonic energy proportions of respiratory signals are extracted through short-time Fourier transform, and quartering classification is achieved in combination with the LF / HF ratio of heart rate variability.

The invention provides an ink-jet method of a Micro OLED, and relates to the technical field of ink-jet printing of Micro OLEDs, the ink-jet method comprises an ink-jet unit and a laser following unit, the ink-jet unit comprises an ink-jet head, an ink-jet platform and an ink-jet control system, the laser following unit comprises a first non-contact sensor fixedly connected with the ink jet head, a second non-contact sensor fixed on the ink jet platform and a laser following control system, and the ink jet platform comprises an operation area and a correction area. Laser follows dynamic calibration and drawn patterns and is transmitted to the ink jet control system to control the ink jet head to jet ink, and the problems that in the prior art, the height of the ink jet head and the wafer target ink jet area is difficult to control, the glue amount precision is insufficient, and glue overflows or is not fully filled are effectively solved.

The invention discloses a rotating blade vibration measurement method based on vision, and relates to the technical field of measurement. In order to solve the technical defect that circumferential and radial vibration displacements of a blade cannot be simultaneously and synchronously obtained in a high-speed rotating state in the prior art, the technical scheme provided by the invention is as follows: calculating the time when the blade reaches a preset measurement position based on a non-contact sensor, and respectively triggering a high-speed camera to collect circumferential and radial original images; the method comprises the following steps: performing micro motion amplification processing on an image, tracking pixel movement by using a sparse optical flow algorithm and converting the pixel movement into vibration displacement, and finally performing time domain and frequency domain feature extraction on circumferential and radial vibration data to obtain vibration feature parameters. The method is suitable for online vibration monitoring and analysis work of rotating blades of wind driven generators or aero-engines and the like under the condition of high-speed rotation.

A sensor system according to an embodiment includes: a noncontact sensor module arranged on a display module; and a processor configured to drive the sensor module, wherein the sensor module is configured to detect a first coordinate and a second coordinate of a detection target, the second coordinate is detected before the first coordinate is detected, the processor is configured to calculate move information indicating a moving direction of the detection target in the first coordinate based on the first coordinate and the second coordinate detected by the sensor module, and calculate a correction amount in the first coordinate based on the move information when the detection target approaches the sensor module and a distance between the sensor module and the detection target reaches a correction start distance.

The invention relates to the technical field of intelligent health monitoring, and particularly discloses a multi-modal AI-fused senior non-inductive assessment method and system and electronic device.The method comprises the following steps that in the daily living environment of the senior, original multi-modal data reflecting the physiological and behavior states of the senior are collected in a non-inductive mode through at least two non-contact sensors; and preprocessing the original multi-modal data, and extracting a single-modal health feature vector from the data of each modal by using a preset feature extraction model. According to the invention, non-inductive data acquisition is realized by deploying the non-contact multi-mode sensor in the daily environment of the elderly, the elderly does not need to cooperate deliberately, and the use convenience and acceptability are effectively improved; through preprocessing and feature extraction of multi-modal data, multi-dimensional health features can be mined from visual, audio and radar data, the limitation of single data dimension in the traditional technology is broken through, and comprehensive representation of physiological and behavior states of old people is realized.

The invention relates to the technical field of personnel state monitoring, in particular to a non-contact intelligent monitoring method for a fatigue state of an operator, which comprises the following steps of: a, acquiring a face heat distribution image and a dynamic behavior video stream through a non-contact sensor array; b, extracting facial thermal features based on a multispectral fusion algorithm; c, analyzing behavior characteristics through a space-time attention neural network; d, fusing physiological and behavior characteristics, and outputting a fatigue level; and e, triggering a multi-level linkage early warning mechanism according to the fatigue level. A common direct contact type sensor brings discomfort to operators and affects normal work, manual observation has subjectivity, misjudgment is prone to occurring, and real-time and comprehensive monitoring cannot be achieved. Compared with the prior art, the non-contact physiological feature sensor and the non-contact behavior feature sensor can be used for detecting a worker together, direct contact with the worker is not needed, interference to the working state of the worker is reduced, long-time continuous monitoring can be achieved, and misjudgment is avoided.

The present invention relates to a fitting arrangement for doors or windows, as well as for lift-and-slide elements, such as lift-and-slide doors or lift-and-slide windows, comprising a faceplate for covering a fitting groove formed in a door or window, and a drive rod guided so as to be translationally displaceable along the faceplate. The drive rod comprises a first section that rests against a surface of the faceplate and a second section that projects beyond one end of the faceplate. The fitting arrangement further comprises a sensor board, coupled at least indirectly to the faceplate, with at least one contactless sensor for detecting the position of the drive rod. The sensor board is located at the end of the faceplate and flanks the second section of the drive rod. The at least one sensor is located on the side of the sensor board facing the second section of the drive rod.

The invention, which relates to the technical field of audio experience, discloses an immersive audio experience-oriented sound sound field orientation system comprising a position sensing module, a sound field modeling module, a characteristic sound wave generation module, an array control module and a space feedback adjustment module. The position and orientation information of a target user in a three-dimensional space is obtained in real time through a non-contact sensor, a real-time acoustic propagation model containing reflection surface distribution and material characteristics is constructed, a multi-channel acoustic signal is generated based on the model, a loudspeaker array is driven to produce sound through a beam control parameter set, and the sound transmission effect is achieved. According to the invention, the spatial focusing of the sound beam in the target direction is realized, the sound production delay and phase difference of each loudspeaker unit are dynamically adjusted based on the direction deviation information of the received sound pressure, and a closed-loop control path is formed. The method is suitable for various scenes such as virtual reality, intelligent cinemas and voice interaction.

The invention discloses a car coupler state detection and execution control circuit and a car coupler automatic picking and hanging system and method, and relates to the technical field of railway vehicle automation control, and the car coupler state detection and execution control circuit comprises a state detection unit which comprises a plurality of non-contact sensors arranged at different detection positions of a car coupler; the safety execution unit comprises a 2oo2 interlocking structure formed by a first relay and a second relay which are connected in series, a through-type Hall current sensor arranged on a main loop between the first relay and the second relay, and a third relay for controlling the extension and retraction directions of an electric push rod; the power supply management unit comprises a 24VDC power supply input terminal, a fuse, a reverse connection protection diode and a surge suppression TVS (Transient Voltage Suppressor) tube; wherein the output end of the state detection unit is connected to the input port of the controller, and the output port of the controller is connected to the control end of the safety execution unit. The safety of the system is improved through a hardware-level redundant architecture, and the reliability of coupler state detection is improved through multi-sensor fusion.

According to the fault early warning system for the wind power booster station provided by the invention, the limitation of traditional single-point monitoring is broken through by fusing the infrared ultrasonic technology and the ultrahigh frequency technology through the non-contact sensor, so that the early fault detection rate is greatly improved; the composite heat dissipation system suppresses the temperature rise of a transformer hot spot based on a dynamic heat management mechanism of a phase change material and a heat pipe, and the energy-saving efficiency is improved; the edge calculation early warning center converts temperature, partial discharge, strain and other multi-source heterogeneous data into a unified health degree index through a weighted fusion algorithm, and in combination with an equipment topology correlation analysis model, the positioning accuracy of a fault source is greatly improved, and the early warning response time delay is greatly reduced.

To provide a head-mounted lighting unit that can readily perform ON / OFF operation of a lighting member.SOLUTION: A head-mounted lighting unit includes a switch device 6 for switching between an ON state of supplying power from a battery to a lighting member 3 mounted to a head belt 2 and an OFF state of stopping the supplying power. The switch device 6 includes: a non-contact sensor 31 for detecting an object moving within a detection range 35 in a non-contact manner; and a switching circuit for switching between the ON state and the OFF state for each detection by the non-contact sensor 31. With this configuration, the lighting member 3 can be operated to be turned on and off by moving a hand of a wearer within the detection range 35.SELECTED DRAWING: Figure 4

The invention discloses a photovoltaic power station operation state monitoring management system and method, and relates to the technical field of power systems and automatic control, and the method comprises the steps that a dual-mode temperature monitoring module is combined with a ceramic packaging contact sensor and a multispectral filtering non-contact sensor, and a correction temperature value is output through adaptive weight fusion; the environment adaptive calibration unit dynamically corrects the drifting of the sensor based on a CNN-BiLSTM model; the edge computing node detects early symptoms of the hot spots in real time and uploads abnormal data preferentially; the multi-protocol gateway can automatically switch communication channels, and is matched with LZW compression and CRC32 verification to guarantee data transmission; the above modules establish cooperative interaction through an industrial Ethernet, an RS485 bus and the like, and are in bidirectional communication with a cloud management platform. The temperature monitoring precision in a severe environment is improved, the hot spot response time is shortened, the communication bottleneck in a remote area is solved, and stable operation of a power station is guaranteed.

The invention discloses a non-contact multi-source sensing fusion pet health assessment system and method. The system comprises a data acquisition module, a central processing module, a communication module, a terminal module and a pet wearing device. Some basic data are collected through the pet wearing device, data are collected through a plurality of non-contact sensors of the collection module, all the collected data are fused and integrated through the central processing module, a preset health calculation formula is input, a pet health score is output, and an owner is helped to know the health state of the pet in time.

The utility model discloses a thrust bearing bush capable of detecting the thickness of an oil film, which relates to the field of bearing oil film thickness monitoring and comprises a thrust bush and a non-contact sensor, a plurality of counter bores are arranged on the bush surface of the thrust bush, and through holes for mounting the non-contact sensor are respectively arranged in the thrust bush corresponding to the counter bores on the bush surface. The non-contact sensor comprises a probe, a sensor body and a signal line, the end face of the probe of the non-contact sensor is located between the tile face of the thrust tile and the bottom face of the counter bore, the sensor body is installed in the through hole, and the counter bore is arranged on the two sides of the symmetry axis of the tile face of the thrust tile in an annular array mode with the center of the outer circle of the thrust tile as the center. And the thrust pads are uniformly distributed along the radial direction by taking the excircle center of the thrust pad as a reference. According to the utility model, more comprehensive oil film thickness data can be obtained, the lubrication state of the whole thrust pad working surface can be accurately reflected, and the monitoring accuracy and reliability are enhanced.

The invention relates to the technical field of commercial kitchen oil fume purification, in particular to a purification system and purification method of a commercial oil fume purification all-in-one machine, and the purification system comprises an electric field monitoring unit, a self-adaptive regulation and control unit and a prediction maintenance unit, an electric field monitoring unit collects electric field intensity data of parallel polar plates through a distributed non-contact sensor array, injects spatial position codes to generate a three-dimensional matrix, and combines a polarization drift feature analysis method to identify a local abnormal region and generate an abnormal feature vector; the self-adaptive regulation and control unit dynamically modulates high-voltage power supply output parameters based on the vector, converges the field intensity of an abnormal area to a safety range, stabilizes an edge electric field synchronously through an edge auxiliary electrode array, and the prediction maintenance unit constructs an oil contamination accumulation prediction model by combining the electric field abnormal accumulation duration and the diffusion trend; and when the risk reaches a threshold value, gradient depressurization cleaning in a low-load period is triggered, the problems of unstable purification efficiency and untimely maintenance are solved, and the operation and maintenance cost is reduced.

A smart system comprising a contact or contactless PPG sensor to output a PPG signal; and an electronic processing system in communication with the PPG sensor to acquire the PPG signal therefrom and analyse the PPG signal in one or both of time and frequency domains to real-time predict transitions between awake and sleep phases of a subject based on an output of the analysis, either wearing the smart wearable system equipped with the contact PPG sensor or remotely monitored by the contactless PPG sensor.

To efficiently dispose a power supply device and a non-contact sensor.SOLUTION: A drive device comprises a stator, a wound field rotor around which a coil wire is wound, a non-contact power supply device which is electrically connected between a power source and the wound field rotor and supplies power to the wound field rotor in a non-contact manner, and a non-contact sensor which generates sensor information relating to the wound field rotor. The non-contact power supply device and the non-contact sensor include coils which are wound around a common core member.SELECTED DRAWING: Figure 3

The invention provides a vital sign prediction and anomaly detection system and method based on a non-contact sensor. The system comprises a non-contact sensor receiving subsystem used for receiving and extracting vital sign data such as respiration and heart rate; the data storage subsystem is used for constructing a database to store multiple types of data; the data preprocessing subsystem is used for extracting key information and adding noise to simulate a real environment; the multi-dimensional feature extraction subsystem is used for generating a feature sequence for model training; the prediction and anomaly detection model subsystem is used for realizing prediction and anomaly detection; and the visual user system is used for pushing health suggestions and abnormal alarm information through a WeChat applet and an AI agent. According to the method, the vital signs can be predicted in real time and the abnormal values can be detected only through a small amount of user data, and compared with a traditional method, the method has higher flexibility, accuracy, real-time performance and privacy and can serve as an effective solution for vital sign prediction and abnormal detection in the field of sensor Internet of Things.

The embodiment of the invention provides an automatic sleep staging method and system based on a sleep signal. The method comprises the steps that the sleep signal collected by a non-contact sensor is acquired; preprocessing the sleep signal to obtain a plurality of signal segments, and calculating signal features of the signal segments, the signal features including heart rate features, breathing features, body movement features and snore features; calculating quality indexes of the signal features, calculating feature scores of the signal features based on the quality indexes and corresponding preset index weights, and performing feature screening on the signal features in combination with feature thresholds of the signal features; and inputting the signal segments after feature screening into the sleep staging models of the corresponding features, and outputting staging results of the sleep staging models.

We provide an anomaly detection system capable of detecting abnormalities in humans. [Solution] An anomaly detection system comprising: a first motion detection unit 301 that detects movements of a person 20 that are greater than a motion threshold using a non-contact sensor 10; a presence location determination unit 302 that, if it has detected movements greater than the motion threshold, determines whether a person is present in a location 30 where the non-contact sensor 10 can detect movements of a person 20 that are less than the motion threshold; a second motion detection unit 303 that detects movements of a person 20 that are less than the motion threshold if it has determined that a person is present in a location 30 where it can detect movements of a person 20 that are less than the motion threshold; and an anomaly determination unit 304 that, if it has not detected movements less than the motion threshold, determines that something is wrong with the person 20.

A system for monitoring health of a patient includes a touchless sensing device disposed within a sensing range of the patient. The touchless sensing device includes at least one touchless sensor configured to receive raw data relating to the health status of the patient. The system also includes at least one processor configured to receive the raw data from the touchless sensor or sensors, compute physiological data from the raw data, compute health metrics from the physiological data, and display the health metrics or the physiological data on a display device in communication with the at least one processor.

An example method for determining cognitive load is described herein. The method includes receiving a cardiac signal measured by a non-contact sensor; determining a heart rate variability (HRV) metric based on the cardiac signal; and determining a cognitive load of a subject based on the HRV metric. An example system for determining cognitive load is also described herein. The system includes a non-contact sensor; a computing device operably coupled to non-contact sensor, the computing device including a processor and a memory, the memory having instructions thereon, that, when executed, cause the processor to: receive a cardiac signal measured by a non-contact sensor; determine a heart rate variability (HRV) metric based on the cardiac signal; and determine a cognitive load of a subject based on the HRV metric.

A system, and the like, capable of improving user-friendliness when a work machine is diagnosed in a form intended by a user using a terminal device having a wireless communication function, are provided. A second external request signal based on a designated attribute regarding a designated work machine 200 designated through a terminal input interface 101 and a unique identifier read in non-contact manner from a designated component 222 with a non-contact sensor mounted on a terminal device 100 is transmitted to a real machine communication station 210 mounted on the designated work machine 200. Then, a second external response signal representing information regarding the designated component 222 in response to the second external request signal is transmitted from the real machine communication station 210 to the terminal device 100, and the information that is a diagnostic result of the designated component is output to a terminal output interface 102.

To provide a rotation transmission device capable of efficiently arranging a non-contact sensor as an example.SOLUTION: A rotation transmission device according to an embodiment includes, for example, a rotation body configured to rotate around a first rotation axis, a first gear separated from the rotation body in one axial direction along the first rotation axis, configured to rotate integrally with the rotation body around the first rotation axis, and having an outer diameter smaller than that of the rotation body, a second gear rotatable around a second rotation axis parallel to the first rotation axis, meshing with the first gear, and having an outer diameter different from that of the first gear, and a non-contact sensor having a detection unit separated from the first rotation axis by more than half of the outer diameter of the first gear in a direction orthogonal to the first rotation axis and separated from the rotation body in the axial direction, and configured to detect a rotation angle of the rotation body by the detection unit.SELECTED DRAWING: Figure 2

A touchless sensor includes a printed circuit assembly, a light guide and a sensor lens that are carried by a housing. The sensor lens is of hand shape. The housing corresponds in size and shape to a standard 19 mm push-button housing to allow for retrofitting to convert an electronic device from push-button operation to touchless operation.

The present application relates to the field of respiratory heart rate monitoring, and discloses a non-contact heart rate and respiration recorder, which comprises a host computer, a wireless charging base, a charging cable and a terminal device, wherein the host computer is internally provided with a non-contact sensor module, a processor, a battery and a wireless communication module, and the shell adopts a waterproof sealing structure. In use, the host computer is placed under a pillow, and a heart beat and respiration channel signal is collected through the non-contact sensor, and after filtering, normalization and artifact removal, the signal forms a heart beat observation and a respiration observation under the action of parameters such as a sampling rate, a time window length, a vertical offset and a coupling stiffness, and is subjected to joint optimization under the constraints of spectral matching and cross-modal coherence, and finally outputs a heart rate and a respiration rate. The device does not need to wear an electrode, is stable in detection, and is suitable for long-term home health monitoring and clinical assistance.

The present invention provides a robot control device that can suppress false detections in non-contact sensors. [Solution] The robot control device is a robot control device for a robot equipped with a plurality of non-contact sensors 2e, 2b, and comprises: an identification unit that identifies the position of each non-contact sensor 2e, 2b in accordance with the posture of the robot; and a determination unit that identifies one of the plurality of non-contact sensors 2e, 2b as a target sensor and determines, based on the identified position, whether a non-contact sensor 2b other than the target sensor is interfering with the detection range 37e of the target sensor which has been set in advance.

The invention relates to the technical field of physiological index data processing, in particular to a user feedback driven physiological index adaptive health assessment method and device. The method comprises the following steps: acquiring a BCG signal of a user based on a non-contact sensor, and acquiring index monitoring data of a plurality of indexes based on the BCG signal; the user inputs a user feedback text representing the abnormal state of the body, matching is conducted on the basis of the user feedback text and the disease words in the lexicon, and if the disease words are matched, indexes corresponding to the disease words serve as final monitoring indexes; if the disease word cannot be matched, screening out an initial monitoring index based on the user feedback text, and determining a final monitoring index based on the initial monitoring index; and obtaining daily index monitoring data based on the final monitoring index. In this way, mapping from coarse-grained subjective perception to refined objective indexes can be realized, and monitoring blind areas and misjudgment risks are remarkably reduced while the early-stage anomaly detection rate is increased.