3307 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 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.

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.

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.

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 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 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 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.

The invention discloses a flocculation treatment device and method for removing high turbidity of a water sample. The method comprises the following steps: monitoring an inflow turbidity parameter in real time, continuously collecting original optical characteristic data of water through an optical sensor array, and calculating a turbidity fluctuation rate parameter after noise reduction treatment; carrying out graded rotational flow mixing treatment, forming a pressure gradient through three stages of tapered rotational flow pipes in sequence, activating an ultrasonic frequency field, and synchronously adding main and auxiliary flocculants; the method comprises the following steps: introducing a water sample into a multi-stage gradient flocculation reaction zone, and sequentially executing turbulent flow enhanced flocculation, slow stirring flocculation and pulsed electric field assisted flocculation to form a floc structure with different particle size distribution; running parameters of a sedimentation module are adjusted according to real-time effluent turbidity feedback, and the inclination angle of an inclined plate assembly and the opening degree of a mud discharging valve are dynamically adjusted; a parameter set is updated through a prediction model based on periodically collected system operation data, a closed-loop optimization control strategy is formed, the adaptability to extreme turbidity is enhanced, the solid-liquid separation efficiency is improved, the overall energy consumption is reduced, and the efficient and stable requirements of emergency treatment are met.

The invention provides a water quality monitoring method and system based on an AI optical sensor, relates to the field of water quality monitoring, and tracks water body environment conditions which cause spectral signal interference and change along with time by monitoring water body parameters. In addition, the space-time decoupling of the interference components is realized by establishing the dynamic mapping of the spectral characteristics and the environmental time sequence characteristics. That is to say, environmental interference analysis is carried out in a feature matching mode by learning the mapping relation between the water body parameter time sequence features and the spectral interference, so that the problem of time delay caused by the influence of environmental parameters on the spectrum is solved, the spectral interference at the current moment is predicted more accurately, and the accuracy of spectral interference prediction is improved. And interference of water body environment factors on spectral signals is eliminated or weakened from the original spectral data, so that purer water body component spectral characteristic information and water quality category information are obtained.

The invention relates to the technical field of industrial laser precision measurement, in particular to a laser centering device for a coupler and a using method of the laser centering device for the coupler. Light spot displacement signals and environment vibration signals are synchronously collected through a laser transmitter and an optical sensor array, and a frequency domain feature decoupling module is adopted to separate a shafting displacement component and an interference component; the time domain correlation verification module is used for calculating signal time sequence correlation and generating a deviation vector, and finally the adaptive compensation decision module is used for analyzing the deviation vector and outputting an adjustment instruction. According to the invention, effective separation of real misalignment and transient noise in a dynamic environment is realized, the technical problem of measurement misalignment of an existing laser centering device in a complex industrial environment is solved, and the coupling installation precision and the equipment operation stability are improved.

An apparatus for monitoring an apparatus for the inductive heating of a metal material including a detection device and an evaluation device. In order to automate the loading of the inductive heating apparatus with bulk material or metal material, according to the invention the detection device is an optical sensor for detecting distance and the evaluation device is designed to determine, on the basis of the distance detected by the detection device, the fill level of the inductive heating apparatus and to output a corresponding signal, the signal being suitable for further use in a control process for the feeding of metal material to the inductive heating apparatus. The invention also relates to a method for automatically loading an apparatus for the inductive heating of a metal material and to a control system for an apparatus for the inductive heating of a metal material.

A detection device includes: a housing having a first surface with a light-shielding property and a second surface with a light-transmitting property; a light source provided inside a first area of the housing and configured to emit light from the second surface contacting a measurement target such that the light travels toward the measurement target; a first optical sensor provided inside the first area and capable of receiving light from the second surface; and a second optical sensor provided inside a second area different from the first area of the housing. The housing has an opening formed in the first surface of the second area and that allows light from an outside of the housing to pass therethrough to an inside of the housing. The second optical sensor configured to receive light from the opening and has a side that faces the second surface and is shielded from light.

An optoelectronic device (20, 50, 120, 320, 500, 540, 560, 600) includes an array (32, 72, 124) of optical transceiver cells (34, 74, 90, 126, 522) disposed on a planar substrate (30). Each transceiver cell includes an optical transducer (36) configured to couple optical radiation between the transceiver cell and a target. An optical distribution tree (122) including a network (38, 76, 428, 518, 524) of waveguides (142, 150) and switches (146, 429), is disposed on the substrate and coupled to convey coherent radiation from a radiation source (52, 128, 130, 426, 510, 606) to the optical transceiver cells. A controller (48) is configured to actuate the switches so as to select different subsets of the optical transceiver cells that are to receive the coherent radiation from the optical distribution tree and to transmit the coherent radiation toward the target at different times during a scan of the target.

The invention discloses a wearable optical sensor glove, a system, a gesture recognition method and an article recognition method. Comprising a customized flexible glove body, a flexible circuit board, a photoelectric detector, a flexible force-induced luminescence optical fiber, a multipath gating device and a single-chip microcomputer control module. Wherein the customized flexible glove body is made of a flexible material; the flexible circuit boards are arranged on finger parts and a hand back part of the glove; the photoelectric detector is mounted in the finger region and is electrically connected with the multi-path gating device; the flexible force-induced luminescence optical fiber is fixed on the photoelectric detector in each finger region; the multi-channel gating device and the single-chip microcomputer control module are also integrated on the flexible circuit board on the back of the hand and are electrically communicated with each other. The system has good anti-interference performance, and can realize the functions of high-speed dynamic detection, article identification and the like.

The invention relates to the technical field of unmanned aerial vehicle control, and particularly discloses a wrist-worn unmanned aerial vehicle countering control method and system, through cooperative work of a radar sensor, an infrared sensor, an optical sensor and a GPS sensor, flight state data of an unmanned aerial vehicle can be obtained, and state prediction and target tracking are performed on the unmanned aerial vehicle by using a particle filtering algorithm; a deviation coefficient between an actual flight trajectory and a preset trajectory is calculated through a dynamic time warping algorithm, and the system can judge whether the unmanned aerial vehicle deviates from the trajectory and adjust an interference strategy in time; the frequency, the intensity and the transmitting direction of the interference signal are dynamically optimized according to the flight state of the unmanned aerial vehicle so as to form an efficient countering strategy; and by comprehensively evaluating the countering response time and the success rate, a countering precision coefficient is calculated, so that data support is provided for optimization of a subsequent countering strategy.

The invention relates to the crossing field of biothermodynamics and dynamic environment control, and discloses a space thermal microclimate multi-target regulation and control method, device and system, a medium and a product. The method comprises the following steps: acquiring physiological parameters (including effective dressing thermal resistance and local sweat gland density of posture correction) of a passenger, environment space-time parameters and light environment parameters through a biological characteristic sensor, an environment sensor and an optical sensor; constructing a dynamic human body thermal comfort model library, and adopting a feature coding-parameter decoding mechanism to match a target thermal comfort model; generating a hierarchical regulation strategy based on the difference between the local comfortable temperature and humidity interval and the real-time thermal environment sensing parameter; and the refrigerant circulation system, the fluid circulation system and the optical radiation system are cooperatively controlled to realize local microclimate regulation and control. According to the method, the problems of inaccurate thermal comfort modeling and low multi-system cooperation efficiency in a transient environment are solved, the energy efficiency ratio is improved, and the comfort of passengers in a cabin is remarkably improved.

An automated resolution and sharpness calibration system for target scanning includes an imaging reference located on a scanner's scanning stage and an optical sensor configured to capture reference images before and after scanning a target. The system comprises a processor and a memory with instructions that enable the processor to receive the captured reference images, determine image metrics based on reference features, and detect deviations in these metrics between the images. The processor classifies the detected deviation to identify its cause and generates an alert signal accordingly. This system ensures precise calibration by analyzing deviations in image metrics, thereby maintaining optimal scanning performance and accuracy.

Provided are an optical element capable of more easily detecting a change in refractive index of an object to be measured without sweeping a wavelength of incidence light, and an optical sensor using the optical element. An optical element includes a liquid crystal layer that is formed of a composition including a liquid crystal compound, in which the liquid crystal layer has a liquid crystal alignment pattern in which an orientation of an optical axis derived from the liquid crystal compound changes while continuously rotating toward at least one direction of in-plane directions, in a case where a length over which the orientation of the optical axis derived from the liquid crystal compound rotates by 180° in a plane is set as a single period, a length of the single period in the liquid crystal alignment pattern gradually changes in the one direction, and the liquid crystal layer has a resonance structure.

Systems and methods of conducting frictionless shopping are provided. In one exemplary embodiment, a method is performed by a network node device operationally coupled over a network to optical sensor devices positioned throughout a retail space having shelf structures. Each shelf structure has display devices with each display device being associated with and proximate a certain stocked item of the set of stocked items that is disposed on that shelf structure. The method includes sending, to a first display device that is associated with and proximate a certain stocked item that is electronically requested, over the network, an indication that includes a request to enable an auditory or visual indication so that the certain stocked item can be located on the corresponding shelf structure of the set of shelf structures in the retail space based on the auditory or visual indication.

A diffractive optical neural network device includes a plurality of diffractive substrate layers arranged in an optical path. The substrate layers are formed with physical features across surfaces thereof that collectively define a trained mapping function between an optical input and an optical output. A plurality of groups of optical sensors are configured to sense and detect the optical output, wherein each group of optical sensors has at least one optical sensor configured to capture a positive signal from the optical output and at least one optical sensor configured to capture a negative signal from the optical output. Circuitry and / or computer software receives signals or data from the optical sensors and identifies a group of optical sensors in which a normalized differential signal calculated from the positive and negative optical sensors within each group is the largest or the smallest of among all the groups.