4800 results about "Optical transducers" patented technology

The invention discloses an LCD display screen display fault judgment method, and relates to the related technical field of LCD display screen detection. Comprising the steps of synchronous acquisition and preprocessing of multi-source signals, feature extraction, establishment of a fault judgment model, generation of a dynamic test mode, dynamic generation of a targeted test image according to a preliminary detection result to excite a potential fault, iterative optimization of a test sequence by a Q-learning algorithm, and fault diagnosis. The invention also discloses a system for judging the display fault of the LCD screen. The system comprises a multi-source data acquisition module, a central processing unit, a memory and a user interface. Various data including display data, driving voltage / current monitoring data, temperature distribution, environment parameters and the like are synchronously collected through the optical sensor, the electric signal probe, the thermal imaging module and the environment sensor, all-directional information of the LCD display screen in the operation process can be obtained, and limitation and misjudgment possibly caused by a single data source are avoided.

The invention discloses a dynamic weight correction and path deviation probability prediction method for a vehicle track, which comprises the following steps of: acquiring vehicle data and multi-source dynamic data of the vehicle track in real time through an optical sensor, a radio wave sensor and an inertial navigation sensor, carrying out space-time calibration, extracting obstacle characteristics and road structure characteristics, and predicting the path deviation probability of the vehicle track. The obstacle movement trend is quickly captured through a space-time diagram sequence and a diagram convolutional neural network, real-time obstacle avoidance is realized in combination with dynamic weight adjustment, a driving intention is predicted by using a Bayesian neural network, a trajectory planning strategy is adjusted through weight correction, and uncertainty is reduced by using multi-source data fusion and probabilistic prediction. A closed-loop feedback mechanism continuously optimizes the model, and efficient operation is kept in complex scenes such as intersections and roundabout through real-time weight adjustment and closed-loop feedback, so that the purpose of quickly responding to dynamic obstacles or driving behavior changes can be achieved, and the precision of the path deviation prediction probability is improved.

The invention discloses a metal 3D printing forming precision monitoring method and device and electronic equipment thereof, and relates to the technical field of metal 3D printing, and the method comprises the following steps: obtaining multi-modal sensor data, collecting multi-dimensional data in the metal 3D printing process based on the multi-modal sensor data, determining an optical sensor to record the molten pool form and powder distribution, and determining the metal 3D printing forming precision. The thermal infrared camera is determined to monitor temperature field distribution, the acoustic sensor is determined to collect and print medium-high frequency sound wave signals, and defect signals are identified; extracting boundary and geometric features from the optical image based on a convolutional neural network according to local preprocessing data of an edge computing device, and extracting a key temperature change area in response to thermal field gradient analysis; spectral features are extracted from the acoustic data based on time-frequency analysis. According to the invention, through synchronous acquisition of optical, thermal and acoustic multi-modal data, data fusion and defect detection are realized by using an advanced deep learning technology.

The invention provides a high-precision motion capture real-time calibration method based on multi-sensor fusion, and the method comprises the steps: obtaining motion data and environmental parameters collected by multiple sensors, the multiple sensors comprising an inertial measurement unit and an optical sensor; constructing a dynamic calibration model based on the action data and the environmental parameters, and performing real-time error compensation and fusion processing on the sensor data; and establishing a time-varying error dynamic model, and performing real-time compensation on zero offset drift, vibration noise and electromagnetic interference of the inertial measurement unit based on the environmental parameters. According to the invention, the IMU and the optical sensor are fused, respective advantages are exerted, and motion data are comprehensively collected. And meanwhile, the time-varying error dynamic model compensates errors generated by environmental interference in real time, so that real actions can be accurately restored through action capture.

A ring for photoplethysmographic (PPG) sensing performs transmissive PPG and / or reflective PPG. In particular, a ring and assembly methods therefor are described including for example connecting a rim to an inner ring via a bonding process, laying a printed circuit board (PCB) on the inner ring, aligning optical sensors of the PCB with ports of the inner ring, providing electrical connections between contact points on the PCB and the rim, and inserting an assembly including the ring, inner ring and PCB into an outer shell.

The invention relates to the technical field of metal defect detection, and discloses an aluminum alloy round aluminum rod surface defect image super-resolution method. The method comprises the following steps: acquiring a low-resolution original image sequence of surface defects of the aluminum alloy round aluminum rod, and synchronously acquiring gray value distribution at different illumination angles through a multi-channel optical sensor; constructing a dynamic degradation model according to pixel displacement of adjacent frames in the original image sequence, extracting cross-scale defect features in the original image sequence, and taking output parameters of the dynamic degradation model as spatial constraint conditions of a feature extraction network; and a high-resolution defect image is generated through the multi-stage residual error reconstruction network, the high-resolution image output by the reconstruction network is fed back to the dynamic degradation model, and the frequency domain response coefficient of the spatial fuzzy kernel function is updated to form closed-loop optimization. The identification degree of defect features is improved, and a reliable image data basis is provided for accurate detection of the surface defects of the aluminum alloy round aluminum rod.

Co-manipulation robotic systems are described herein that may be used for assisting with laparoscopic surgical procedures. The co-manipulation robotic systems allow a surgeon to use commercially-available surgical tools while providing benefits associated with surgical robotics. Advantageously, the surgical tools may be seamlessly coupled to the robot arms using a disposable coupler while the reusable portions of the robot arm remain in a sterile drape. Further, the co-manipulation robotic system may operate in multiple modes to enhance usability and safety, while allowing the surgeon to position the instrument directly with the instrument handle and further maintain the desired position of the instrument using the robot arm.

A robotic post includes a memory and a processor in communication with the memory, an optical sensor, a support holder and a securable hook. The robotic post is configured to secure an item container by coupling it to the securable hook and further adjusting the support holder. An optional robotic arm manipulates items in or out the item container based on particular semantics of interest inferred based on inputs from the optical sensor.

The invention discloses a visual precise plastic mold surface milling system and method, and the method comprises the steps: obtaining and analyzing the surface topography data of a milling region and a tool displacement track in real time through an optical sensor, and extracting wear-related micro-deformation features through multi-band filtering processing; generating a deviation vector matrix through three-dimensional mapping of the deviation vector matrix and a reference curved surface, and realizing dynamic calculation and path correction of the cutter offset; the high efficiency and stability of the compensation cutting process are ensured by combining the self-adaptive adjustment of the rotating speed and the feeding rate of the main shaft; meanwhile, the compensation effect is projected to a visual interface in real time to form a comparison layer, hardware acceleration is started to maintain the system response speed when the frame rate fluctuates, and finally the material removal volume is evaluated according to the deviation vector matrix to intelligently control the machining cycle termination time. Therefore, the problem of microtopography deviation caused by tool abrasion in the milling process of the complex curved surface mold is effectively solved, and the machining precision and efficiency as well as the robustness and the automation level of the system are remarkably improved.

A hair styling appliance comprising an optical sensor configured to make two or more measurements of light received from a section of hair being styled by the hair styling appliance, and a processor configured to determine a speed of movement of the section of hair relative to the hair styling appliance based on the two or more measurements. The measurements produce successive images of the section of hair (figs. 12a-12b). The times at which the images were generated are obtained and used with determined displacements of the section of hair in the images to determine a relative speed of movement of the hair. The optical sensor may be e.g. a camera or an array of photosensors. The appliance may be a hair straightener, curler or brush.

The invention discloses an environmental monitoring system based on an optical sensor, and relates to the technical field of environmental monitoring, and the system comprises the following components: a quantum entanglement module, an optical sensor integration module, a quantum measurement and data processing module, and a data transmission and sharing module. By integrating the quantum entanglement module, the optical sensor integration module and the quantum measurement and data processing module, high-precision and real-time monitoring of environmental parameters is realized, the quantum entanglement technology provides measurement precision and anti-interference capability superior to those of a traditional optical sensor for the system, the accuracy and reliability of data are ensured, and meanwhile, the quantum entanglement technology can be used for monitoring the environmental parameters in real time. Due to the design of high sensitivity and wide dynamic range of the optical sensor, the system can stably work under various complex environment conditions, and the efficiency and accuracy of environment monitoring are effectively improved.

Embodiments of the present invention provide a therapeutic device. The therapeutic device includes an inner layer including a plurality of sensing locations and a plurality of stimulating locations constructed therewithin. Furthermore, the therapeutic device includes a plurality of stimulation elements located within the plurality of stimulating locations. The therapeutic device further includes a plurality of optical fibers including a plurality of respective first optical endpoints and a plurality of respective second optical endpoints, the plurality of first optical endpoints located within the plurality of sensing locations. Furthermore, the therapeutic device includes an optical sensor configured to receive electromagnetic radiation from the plurality of second optical endpoints. The therapeutic device also includes a control module configured to determine radiation characteristics of the electromagnetic radiation received by the optical sensor and activate one or more of the plurality of stimulation elements in correlation with the determined radiation characteristics.

Systems and methods for automated interaction with a touch-screen device are described. A system for automated interaction with a touch-screen device may include at least one optical sensor configured to sense at least a first portion of a touch-screen of the touch-screen device; at least one solenoid including an end effector that is tactilely detectable by the touch-screen, wherein operation of the at least one solenoid causes the end effector to tactilely engage with a second portion of the touch-screen; and a controller that is operatively connected to the at least one optical sensor and the at least one solenoid, and that is configured to operate the at least one solenoid in response to detecting a predetermined characteristic of the touch-screen via the at least one sensor.

The invention provides an integrated dynamic drug metabolism monitoring and early warning system, and relates to the technical field of drug metabolism monitoring and early warning, the integrated dynamic drug metabolism monitoring and early warning system comprises a data acquisition module, a data processing module, a model construction module, an early warning mechanism module and a user interaction module, the data acquisition module is composed of an optical sensor, a chemical sensor and an electrophysiological sensor, according to the system, the concentration of drugs and related physiological parameters are monitored in real time, different types of biological signals are captured, and the sensitivity and selectivity of the sensors are considered in the design of the data acquisition module so as to ensure the stability and accuracy in different physiological states. Drug concentration and physiological parameters are monitored in real time from multiple dimensions, sensors select and cooperate to form an efficient acquisition network according to performance expression, data quality is optimized in combination with a multi-source data fusion algorithm (such as Kalman filtering and a weighted average method), and a data processing module adopts a statistical analysis algorithm to clean standardized data.

A method for detecting a state of an energy storage device (e.g. lithium-ion battery) is provided, which includes acquiring at least one of a change signal of a temperature or a change signal of a pressure inside the energy storage device, and determining the state of the energy storage device based thereon. The method may further include triggering a warning when the state of the energy storage device meets a preset condition, such as when the energy storage device is determined to be in an irreversible state, an internal short circuit state, a safety valve opening state, or a thermal runaway state. A detection device implementing the detection method is also provided, which comprises a sensing module and an analyzing module. The sensing module is arranged at an interior position of the energy storage device, and can include an optical sensor and / or an electrical sensor.

A system for acquiring data regarding a wound in tissue comprises at least one excitation light source configured to directly illuminate a wound with excitation light; a spectral filtering mechanism configured to permit passage of optical signals responsive to illumination of the wound and having at least one wavelength corresponding to bacterial, fungal, and / or other microorganism autofluorescence and / or bacterial, fungal, viral, and / or microbial fluorescence, the spectral filtering mechanism including a plurality of selectable filters respectively corresponding to different discrete spectral bandwidths; an optical sensor configured to detect the spectrally filtered signals; and a processor configured to receive the detected, filtered signals and to identify a fluorescent signature of bacteria in the wound based at least in part on the detected, filtered signals and to output data regarding the bacterial, fungal, viral, and / or microbial fluorescent signature.

According to an aspect, a detection device includes: an annular housing; a first flexible substrate provided along a shape of the annular housing; a battery provided on the first flexible substrate; a light source provided on the first flexible substrate; and an optical sensor including a second flexible substrate and a plurality of photodiodes provided in a detection area of the second flexible substrate. One end of the second flexible substrate of the optical sensor overlaps one end of the first flexible substrate, and the second flexible substrate is electrically coupled to the first flexible substrate.

The invention relates to the technical field of machining, and discloses a lathe tool wear self-inspection alarm system which comprises a multi-source sensing module, an intelligent analysis module, a dynamic response module, an interactive display module and a self-adaptive energy supply module. The multi-source sensing module synchronously acquires the surface abrasion loss, the vibration spectrum and the acoustic emission signal of the cutter through an optical sensor, a capacitive sensor and an MEMS triaxial accelerometer, and outputs the surface abrasion loss, the vibration spectrum and the acoustic emission signal to the intelligent analysis module; and the intelligent analysis module performs fusion analysis on the multi-source data by adopting a mixed feature extraction and double-model decision mechanism. High-precision monitoring and dynamic evaluation of lathe tool wear are realized through optical, vibration and acoustic emission sensors of the multi-source sensing module in combination with mixed feature extraction and a double-model decision mechanism of the intelligent analysis module. By means of the mode of combining multi-dimensional monitoring and intelligent analysis, machining defects and equipment failure risks caused by tool abrasion can be reduced.

The invention relates to the technical field of wall-hanging stoves, in particular to a wall-hanging stove gas safety monitoring and alarming system based on an optical sensor, which comprises a spectrum sensor calibration module, a gas spectrum analysis module, a leakage dynamic monitoring module and a leakage type identification module. According to the invention, by finely adjusting the sensitivity of the spectrum sensor and optimizing the calibration of the optical element, the detection capability on key gases such as methane and carbon monoxide is improved, and the absorption peak value in multi-wavelength spectrum data can be accurately captured and analyzed, so that the system is more accurate in monitoring gas concentration and composition; by analyzing the time sequence distribution of the absorption peak value and combining the correlation between the spectrum peak value and the energy, the system can effectively identify key energy characteristics, the real-time performance of monitoring and the accuracy of early warning are further enhanced, the system monitors the change trend of the energy value in real time and is matched with threshold value setting, and the accuracy of early warning is improved. It is ensured that an alarm is triggered quickly when any abnormal leakage is detected.

A sensor system detects activity at a fiber optic closure, including whether the fiber optic closure has been opened, or whether movable components within the closure are moved. An optical sensor capable of sensing mechanical movement, and an OTDR signal communicates the sensed movement to a remote location, such as a central office.

A receiver-in-canal (RIC) hearing device comprises a housing configured for deployment behind an ear of a user of the hearing device. A power source, audio components, a communication device, and a controller are respectively disposed in the housing. A cable assembly comprises a cable, a receiver disposed at a distal end of the cable, and a connector disposed at a proximal end of the cable and configured to attach to the housing. An optical sensor is disposed in the connector and configured to generate a proximity signal based on proximity of the optical sensor to skin at or near the user's ear. The controller is configured to operate the hearing device in a nominal power mode in response to the proximity signal exceeding a threshold and to operate the hearing device in a low power mode in response to the proximity signal falling below the threshold.

An organic light emitting display device includes: a display panel configured to display an image on a first surface of the display panel, and including: a first display area including a first sub-pixel area, and having a first resolution; and a second display area including a second sub-pixel area and a first transmission area, and having a second resolution that is lower than the first resolution; and a first optical sensor on a second surface of the display panel opposite to the first surface to overlap with the second display area. Accordingly, an image may be displayed at a portion where the first optical module is disposed.

Implementations disclosed describe an inspection device capable of being transferred by a robot blade into a processing chamber of a manufacturing machine, the inspection device comprising an optical sensor to detect light reflected from a target located within the processing chamber, wherein the optical sensor is to output, to a processing device, a signal representative of a state of a region of a surface of the target.

An apparatus (20) for carrying out a quality control on industrial production lines (10), comprising one or more apparatuses (30, 40, 50) for the measurement of properties of a product sample (C) of the aforesaid industrial production lines (10), which supply respective one or more measurement signals, the apparatus (20) comprising a processing module configured for processing the one or more measurement signals and obtaining properties of the product sample (C), the quality control being carried out as a function of said properties of the product sample (C), said one or more apparatuses (30, 40, 50) for the measurement of properties of a product sample (C) comprising: an x-ray fluorescence apparatus (30) that comprises an x-ray source (331), which emits a first x-ray beam (XB, XBC) towards the product sample (C) in a measurement environment, and a particle detector (335), which is configured for receiving a second x-ray beam (XBR) scattered by the product sample (C) and generating a first received signal supplied within the set of said respective one or more measurement signals. The apparatus (20) further comprises an optical-spectroscopy apparatus, preferably operating in the near infrared (40), which comprises a radiation source operating in the near infrared (NIR), which emits a first optleal-radiation beam towards a product sample (C), and an optical sensor for receiving a second optleal-radiation beam scattered by the product sample (C) and generating a second received signal supplied within the set of said respective one or more measurement signals.

An applicator for treating acne including one or more microneedles, an optical sensor configured to detect acne, a removal system including a suction mechanism configured to remove acne material, and a chamber for containing the acne material, a remedy system configured apply one or more acne remedies, a light source configured to apply a light therapy to skin, and a processor configured to detect acne at one or more affected areas on skin, and direct the applicator to apply treatment, where the treatment includes penetrating the skin at the one or more affected areas with the one or more microneedles, removing acne material with suction mechanism, applying the light therapy to the one or more affected areas, and applying one or more acne remedies to the one or more affected areas.

The invention proposes an underwater target intelligent recognition system based on multi-sensor fusion, and relates to the technical field of underwater target recognition, and the system comprises an underwater robot which is provided with an optical sensor, an acoustic sensor, a three-dimensional laser sensor, and a water quality environment sensor; the data acquisition module is used for synchronously acquiring original multi-modal data and water quality parameters from the underwater robot; the data preprocessing module is used for generating preprocessed multi-modal data; the multi-modal feature fusion module is used for extracting each modal feature from the preprocessed multi-modal data and generating a fusion feature; the target recognition and positioning module is used for processing the fusion features by adopting a target detection network and outputting the category, the position and the confidence of the underwater target; and the intelligent analysis output module is used for comprehensively analyzing the information of the underwater target and generating an analysis result and visual data. According to the invention, the limitation of a single sensor can be overcome, and the underwater target can be accurately and stably identified by combining an intelligent algorithm.

The invention discloses a landscape lighting intelligent control system based on distributed optical sensor data fusion, and relates to the technical field of intelligent control, and the system comprises a data collection module which is used for obtaining environment data in real time; the processing fusion module is used for performing Bayesian fusion on the environmental data to obtain final environmental data estimation; the on-off control module is used for controlling light on-off of the landscape lighting system; the brightness adjusting module is used for adjusting the brightness of light of the landscape lighting system based on a fuzzy reasoning process according to the illumination intensity data and the personnel activity state; and the system evaluation module is used for evaluating the effect of the landscape intelligent adjustment control system according to the light on-off control response analysis of the landscape illumination system and in combination with the energy-saving effect realized through brightness adjustment. According to the method, the problems that the response environment change is not rapid, and system data processing and real-time control are not efficient are solved. Therefore, the purposes of saving energy, improving the lighting effect and enhancing the user experience are achieved.

The invention relates to the technical field of laser cutting, and discloses a high-power laser cutting light path system, a laser cutting head and a using method of the laser cutting head. The system comprises a dynamic cutting path accounting module, a multi-dimensional cutting difference analysis module, an abnormal region association positioning module and a self-adaptive cutting strategy generation module. The dynamic cutting path accounting module builds a model based on laser cutting historical data, and collects laser power fluctuation, light beam quality distribution and cutting speed sequence data of current cutting in real time. The multi-dimensional cutting difference analysis module receives the information and performs three-dimensional difference analysis with an actual measurement path of the optical sensor to generate a workpiece-level difference coefficient matrix; and the abnormal region association positioning module inputs the matrix into a space geometric analysis network, generates an abnormal probability thermal distribution diagram of a cutting defect propagation path, and positions an abnormal cutting region. And the adaptive cutting strategy generation module configures parameters according to the thermodynamic diagram, and applies multi-band impedance disturbance to the adjacent node cutting head with the maximum abnormal probability gradient change.

The invention discloses a method and equipment for double-ultrasonic cooperative in-situ auxiliary electric arc additive manufacturing of a large metal component, an electric arc additive manufacturing system and an ultrasonic vibration auxiliary electric arc additive manufacturing system. The ultrasonic vibration auxiliary electric arc additive manufacturing system comprises two ultrasonic impact guns, an optical sensor, a temperature sensor and a calculation control system. The optical sensor collects optical characteristics of the deposition channel and the molten pool and converts the optical characteristics into electric signals to be transmitted to the calculation control system, and the temperature sensor is used for monitoring and collecting temperature information of the deposition channel and transmitting the temperature information to the calculation control system to draw an isotherm; the calculation control system adjusts the distance between the ultrasonic impact gun and the center of the molten pool according to the isotherm and the optical characteristics of the optical sensor mobile phone, and the ultrasonic power is adjusted; one of the ultrasonic peening guns applies ultrasound from the component side edge as materials are added to the component edge. By means of the multi-axis freedom degree and accuracy of the mechanical arm, double-ultrasonic vibration is applied to all positions of a large metal component in the material adding process, and the mechanical property is improved.