53 results about "Active optics" patented technology

The invention discloses an active optical alignment method based on a local lightweight language model, and particularly relates to the technical field of precision installation and adjustment, comprising the following steps: extracting image indexes and platform attitude information through image acquisition, constructing a unified input format, verifying and inputting the language model; generating a six-degree-of-freedom pose adjustment strategy and a credibility score; the strategy is executed by the platform control device after being verified by a preset criterion; scoring is performed again after execution, and whether a feature posture is recorded or error compensation is triggered is judged according to a scoring result, so that subsequent input and strategy generation are optimized, and alignment precision and stability are improved; according to the method, the data consistency is guaranteed through a unified input format and a verification mechanism, the alignment precision is improved in combination with a dynamic scoring strategy, and the stability and fault tolerance of the system are enhanced by introducing a feature attitude recording and error back-filling mechanism, so that a strategy generation and execution process with high reliability, high adaptation and high robustness in an active optical alignment task is realized.

The invention discloses a robot for automatically cleaning water surface garbage, which comprises the following steps: S1, collecting water surface garbage distribution and obstacle data by using an active optical detection technology and a CMOS (Complementary Metal Oxide Semiconductor) photosensitive device, and constructing a water surface environment data model; s2, performing path planning based on an A * path planning algorithm in combination with a GBFS algorithm and a Dijkstra algorithm, and generating a candidate path set; s3, optimizing a path by using a particle swarm hybrid Poisson jump algorithm, and outputting an optimal path; s4, transmitting the optimal path to an STM32 single-chip microcomputer, and controlling the robot to move through a PWM motor driving module; s5, monitoring and adjusting a path in real time through an ultrasonic obstacle avoidance system; s6, a garbage collection device is started, garbage and oil dirt are collected through a double-roller adsorption system, and water is filtered; s7, detecting the storage amount based on a pressure sensor, and triggering an automatic return path; and S8, the operation report is fed back through the remote monitoring module. Intelligent and automatic water surface garbage cleaning is achieved, and the cleaning efficiency and the environmental adaptability are effectively improved.

A kind of telescope active optical correction system correction accuracy testing device, including laser interferometer, multidimensional adjusting table, wave aberration measurement component and plane mirror, laser interferometer is placed in the outside of optical telescope for emitting test light to the inside of optical telescope, to detect the wave aberration data of multiple fields of view;Multidimensional adjusting table is used to adjust the position, angle of optical element in optical telescope, to simulate the situation that telescope imaging quality drops;Wave aberration measurement component is set at the image plane of telescope for measuring the wave aberration after optical telescope imaging quality drops, and plane mirror is used to reflect test light.The present application relates to a kind of telescope active optical correction system correction accuracy testing method, the displacement amount and rotation angle of optical element when comparing when simulating image quality drop and when correcting judge the correction accuracy of active optical correction system, compare wave aberration before simulating image quality drop and after correction, judge whether the image quality after correction reaches the image quality before simulating image quality drop.

In an aspect of the present invention, a new active optic is provided, namely, a photo-magnetically actuated deformable mirror (PMADM) made of a magnetic composite structure and an optical quality substrate layer. The magnetic layer is composed of Polydimethylsiloxane (PDMS) and powdered ferromagnetic CrO2. A magnet may be used to deform the mirror surface. The powdered CrO2 has a low Curie temperature (preferably around 395 K) which allows changing the magnetization of the magnetic layer using a laser heating source, thus providing control over the deformation. In one embodiment, the structure has an overall dimension of 1.2 inch 1.2 inch 175 μm with an optical pupil diameter of 8 mm. The PMADM is estimated to deform to a maximum stroke of 8.7731 μm before failure with a 3 safety factor.

The application provides an automatic resonant frequency-doubled laser based on an injection-locked semiconductor seed source, which forms injection locking by injecting the fundamental frequency light transmitted when the resonant frequency-doubled cavity resonates into the semiconductor seed source through the coupling light path, so that the seed light emitted by the semiconductor seed source and the resonant frequency-doubled cavity are always in a resonant state, and automatic resonant frequency doubling is realized. Compared with a traditional resonant frequency-doubled laser, the laser of the application can realize automatic resonance of the seed light and the resonant frequency-doubled cavity without an additional active optical and electrical control link, realize continuous and efficient transmission laser output, has a simple structure, and in the traditional resonant frequency-doubled laser scheme which needs active locking, the fundamental frequency light is required to be single-frequency laser, and the application does not have this requirement, and the fundamental frequency light transmitted by the resonant frequency-doubled cavity can also operate in multiple modes which are resonant with the resonant frequency-doubled cavity by injection locking in the semiconductor seed source.

The invention relates to a segmented mirror surface channel spectrum determination method, belongs to the technical field of optical measurement, and solves the problems that most of the existing co-phase detection technologies cannot meet the detection requirements of high precision, wide range, real-time performance and the like at the same time, and the difficulty and complexity of a primary mirror system for realizing co-phase are further increased along with the increase of the number of spliced sub-mirrors. The method comprises the following steps that an optical fiber beam combiner is adopted for light source input, coherent light with different wavelengths is combined, and the combined light enters a segmented mirror system; constructing an interference intensity distribution template of the sub-channel spectrum by using the theoretical model; obtaining the central stripe position of each section of channel spectrum; and the step difference of the segmented mirror is obtained by combining the dispersion constant and the spectral center position. According to the method, the spectral side of the segmented mirror surface channel can be accurately measured, and a basis is provided for correction of an active optical system, so that a high-precision spliced mirror in a global coplanar state is obtained.

The invention discloses an optical transparent adhesive tape with an electric tuning refractive index and a preparation method thereof. The optical transparent adhesive tape comprises a polymer matrix; the core-shell structure liquid crystal microcapsule is dispersed in the polymer matrix, the core of the core-shell structure liquid crystal microcapsule contains nematic phase liquid crystals and polymerizable monomers, the shell of the core-shell structure liquid crystal microcapsule is a cross-linked polymer layer, and an ion trapping agent is distributed in the shell; the transparent electrodes are arranged on the two sides of the polymer matrix; wherein the orientation of liquid crystal molecules in the inner core is changed by applying voltage to the transparent electrode, so that the dynamic regulation and control of the overall refractive index of the electrically tuned refractive index optical transparent adhesive tape are realized. According to the electrically tuned refractive index optical transparent adhesive tape provided by the invention, the OCA is successfully upgraded from a passive bonding material to an active optical regulation and control element, low-voltage, rapid and stable regulation and control of the refractive index are realized while excellent bonding performance and optical performance are maintained, and a brand new technical path is opened up for improving the display quality and realizing a novel display function.

The invention discloses an active optical element temperature field and surface shape adjusting device and system and a control method thereof, and the device comprises an optical element which is provided with an optical surface and a side surface; the bracket is arranged on the side surface of the optical element; the semiconductor coolers are arranged on the support, and the semiconductor coolers are used for heating or cooling the optical element and adjusting the curvature or the surface height of the optical surface when a control signal is applied to the semiconductor coolers; and the heat transfer layer is arranged between the optical element and the bracket. The semiconductor cooler on the side face of the optical element is used for accurately controlling the temperature change, the temperature of the local area of the optical element can be accurately controlled, high-precision adjustment of the surface shape of the optical surface of the optical element can be achieved, and compared with a traditional piezoelectric technology or a mechanical adjustment means, the adjustment precision is higher, and the adjustment precision is higher. And the cost is lower, and the device is more suitable for miniaturization and integration design.

A plant sensor device that suppresses the influence of external light from the surrounding environment and determine highly accurate parameters relating to the leaf biomass of a plant with a simple and low-cost configuration for quantifying the degree of plant growth, which is a plant sensor device 100, including: a light source 11 that intermittently irradiates a plant with near-infrared light (NIR); a radiation sensor 21 that is disposed on a side opposite to the light source 11 with respect to the plant, receives transmitted light of the near-infrared light that has passed through the plant, and outputs a photoelectrically converted output value; and a recording unit 31 that records the output value from the radiation sensor 21, in which the recording unit 31 records an irradiation period and an extinction period of the near-infrared light in the light source 11, and the recording unit 31 classifies output values from the radiation sensor into the following: (1) NIR output values during the irradiation period of the near-infrared light; and (2) non-irradiated output values during the extinction period of the near-infrared light; and a method for active optical sensing of plants.

This invention discloses a method for detecting load sway in bridge cranes based on dual-channel vision. The invention employs an active optical filtering strategy, utilizing short exposure combined with infrared illumination and reflective markers to suppress ambient light interference. At the algorithm level, a dual-channel detection architecture is constructed: the high-speed channel uses a classic vision algorithm based on region of interest (ROI) prediction and sub-pixel localization to ensure real-time performance; the redundant channel uses a quantized lightweight deep learning network to ensure robustness under complex operating conditions. An adaptive fusion strategy based on confidence evaluation dynamically coordinates the outputs of the two channels, and the redundant channel is used to update the prior information of the high-speed channel. This invention achieves high-precision, high-real-time, and high-reliability load sway detection on an embedded edge computing platform, effectively solving the detection challenges caused by changes in lighting, occlusion, and strong interference sources in industrial environments.

The invention relates to the technical field of active optics, and particularly provides a time sequence filtering-based wave-front correction method for a patrol telescope, which comprises the following steps of: firstly, acquiring time sequence wave-front data of the telescope through a wave-front curvature sensor, decomposing the time sequence wave-front data in a spatial domain through a Zernike polynomial, forming a time sequence coefficient sequence by coefficients of each item of the Zernike polynomial in a time domain, and correcting the time sequence coefficient sequence according to the time sequence coefficient sequence; and carrying out frequency domain analysis on each time sequence coefficient sequence, calculating a power spectrum, identifying static aberration by using a Greenwood frequency as a threshold value, filtering dynamic aberration, and then carrying out wavefront correction. According to the method, Zernike polynomial decomposition and frequency domain filtering are combined, high-frequency disturbance introduced by atmospheric turbulence is effectively separated and filtered out, and low-frequency aberration wavefront correction is accurately achieved through active optics.

The present invention relates to a closed-loop solution method for active optical correction based on iterative updating of influence functions. The method collects the initial influence functions of each actuating unit and replaces outliers. A wavefront sensing system detects and obtains the system wavefront aberration. The voltage to be applied to each actuating unit is calculated based on the relationship between the system wavefront aberration and the initial standard influence function under an ideal state, and the voltage is applied to the corresponding actuating unit. The system wavefront aberration is detected again, and the offset coefficient of each influence function is calculated based on the difference between the control surface shape residual under an actual state and the control surface shape residual under an ideal state. Each influence function is updated once according to the offset coefficient to obtain a new influence function. The new influence function is used as the initial standard influence function in the next round of regulation to achieve closed-loop solution of the correction amount of the wavefront corrector. The present invention realizes real-time iterative updating of the influence function and improves the accuracy of solving the active optical correction amount.

The invention provides a film device comprising a first transparent conductive electrode (1), a second transparent conductive electrode (2) and an active optic material (3) arranged between the first transparent conductive electrode (1) and the second transparent conductive electrode (2), wherein the active optic material (3) is configured to change at least one optical property when subject to an electrical voltage. The first transparent conductive electrode (1) comprises a first electric contact (4) configured to receive an electric supply and a second electric contact (5) configured to receive an electric supply. The first transparent conductive electrode (1) is etched to form an electric path (6) that starts in the first electric contact (4) and ends in the second electric contact (5), wherein the electric path covers all the surface of the first transparent conductive electrode (1).

The application relates to a computer-implemented method for object detection in a point cloud (28) generated by means of an active optical sensor system (10), wherein points of the point cloud (28) have a respective intensity signal (30) of a respective received reflection, wherein the method comprises: • Transforming the respective intensity signal (30) so that the optical power of the respective intensity signal (30) can be determined from the transformed (32) and • Performing object detection using the transformed intensity signals (32). The application also concerns an electronic vehicle system and a computer program product.

A method (M1) for processing a point cloud (5) from sample points of an active optical sensor system (4) is proposed, by means of which a complete point cloud (5) without potentially dynamic objects can be provided in a global system. For this purpose, a computing unit (3) is provided, by means of which - the sample points are classified according to at least two predetermined classes, wherein the at least two classes include at least one class for potentially moving objects; - the sampling points (6) of the class for potentially moving objects are removed from the point cloud (5) so that at least one gap (8) is created in the point cloud (5); - replacement points (9) are generated and added to at least one gap (8) in the point cloud (5) so that the point cloud (5) is completed.

The application relates to a computer-implemented method (200) for detecting artifacts (60.A) in a point cloud (28) of an environment (22) of a vehicle (20) generated by means of an active optical sensor system (10), wherein the point cloud (28) contains point information relating to reflection points, the point information depending on the position of the reflection point in a two-dimensional field of view (50), the distance of the respective reflection point and the optical intensity of the respective received reflection, wherein the field of view (50) has vertical columns (SP) in relation to the detected environment (22), wherein the method comprises: • Column-wise evaluation of the point information, • Column-wise detection of optical artifacts (60.A), especially depending on the result of the evaluation of a respective preceding column (SP). The application further relates to a method for at least partially autonomous driving of a vehicle (20), an electronic vehicle system, a vehicle (20), a computer program product, a computing unit (24) and a data carrier.

Provided are a plant sensor device that can suppress the influence of external light from the surrounding environment and determine highly accurate parameters relating to the leaf biomass of a plant with a simple and low-cost configuration for quantifying the degree of plant growth, which is a plant sensor device 100, including: a light source 11 that intermittently irradiates a plant with near-infrared light (NIR); a radiation sensor 21 that is disposed on a side opposite to the light source 11 with respect to the plant, receives transmitted light of the near-infrared light that has passed through the plant, and outputs a photoelectrically converted output value; and a recording unit 31 that records the output value from the radiation sensor 21, in which the recording unit 31 records an irradiation period and an extinction period of the near-infrared light in the light source 11, and the recording unit 31 classifies output values from the radiation sensor into the following: (1) NIR output values during the irradiation period of the near-infrared light; and (2) non-irradiated output values during the extinction period of the near-infrared light; and a method for active optical sensing of plants.

This invention relates to the field of mineral conveying technology, and more particularly to a machine vision-based system for detecting and separating impurities in quartz glass raw materials. The system employs a data acquisition module to obtain image datasets of the quartz glass raw materials and synchronous environmental parameters. A raw material feature extraction module extracts particle size distribution and transmittance characteristics to determine the raw material's feature values. A raw material feature classification module classifies the raw materials into coarse-grained, high-transmittance or fine-grained, low-transmittance types based on the feature values, synchronous environmental parameters, and classification thresholds. An active optical modulation module applies polarization-modulated light or wavelength-selective modulation light based on the raw material type. A modulation analysis and processing module acquires the modulated light image, analyzes it, and outputs impurity information and early warnings. This invention achieves adaptive selection of optical modulation strategies based on the particle size and transmittance characteristics of the raw materials, overcoming the problem of missed detection caused by optical interference, improving the accuracy of impurity detection and system adaptability, and meeting the technical requirements for continuous and stable production of high-purity quartz sand.

The invention relates to a computer-implemented method for determining object information in a point cloud (28) generated by means of an active optical sensor system (10), wherein the point cloud (28) comprises point information for reflection points, the point information being dependent on the corresponding distance (di) of the reflection point, the method comprising: • determining an object (O) in the point cloud (28), • determining a ghost object (GO) associated with the object (O) in the point cloud (28), and • determining object information relating to the object (O) using the ghost object (GO). The invention also relates to: a method for at least partially autonomous driving of a vehicle (20); an electronic vehicle system; a vehicle (20); a computer program product; a processing unit (24); and a data carrier.

In an embodiment, an apparatus is disclosed that includes at least one processor configured to determine a target coupling-out facet, identify an optical path to the target coupling-out facet, identify an active wave plate corresponding to the optical path, determine a target state of the active wave plate that corresponds to the optical path, set the active wave plate to the identified target state and cause a projection device to project a light beam comprising an image field of view component along the identified optical path.

The invention relates to the technical field of optical communication, and discloses an optical assembly adopting optical system-in-package and photon lead bonding, which comprises a shell, a TX O-SiP optical engine, an RX O-SiP optical engine, a DSP chip and a PCBA, the TX O-SiP optical engine and the RX O-SiP optical engine are arranged in the shell, and the TX O-SiP optical engine and the RX O-SiP optical engine are directly arranged on the PCBA through SMT; an electric chip and an optical chip are integrated into a semiconductor package in a heterogeneous mode through optical system-level packaging, a traditional active optical coupling optical chip is replaced by photon wire bonding (PWB), large-scale wafer-level packaging production can be achieved through O-SiP and PWB, mass production efficiency is greatly improved, and packaging consistency is guaranteed.

This invention relates to a robot path planning method and system based on optical vision, comprising the following steps: acquiring environmental images of the robot's environment and robot motion information; obtaining a dense 3D point cloud map based on the environmental image through contrast enhancement, signal extraction, decoding, and interpolation optimization; generating a semantically labeled 3D point cloud map based on the dense 3D point cloud map and a color RGB visible light environmental image through background culling, image tracking, semantic recognition, and clustering; estimating the robot's motion state based on the semantically labeled 3D point cloud map and robot motion information, performing global and local path planning, and obtaining a local path after trajectory smoothing; and converting the local path into the robot's actual actions by combining the robot's motion state. This invention effectively achieves a balance between cost control and performance improvement through an active optical vision perception architecture and multi-algorithm collaborative design.

The invention discloses a to-be-measured object surface multi-angle data output device, method and system and a medium, and the device comprises at least one camera which is installed above a to-be-measured object; the first spectroscope is mounted outside the visual field of the camera and is used for dividing the laser beam into at least two sub-beams; the beam splitter is mounted on a propagation path of the sub-beams and is used for splitting the sub-beams and then enabling the sub-beams to reach the first reflectors at different positions, so that reflected light of the first reflectors is modulated through corresponding gratings to form stripe light, and the stripe light is projected to the surface of an object to be measured; the second spectroscope is mounted between the first reflector and the corresponding grating; according to the invention, the pointing stability of each projection light path is maintained in real time through active optical feedback compensation, the system drift error is fundamentally suppressed, long-term and reliable multi-angle phase deflection measurement is realized, and the pollution of low signal-to-noise ratio data is effectively suppressed by introducing a self-adaptive weighted fusion mechanism based on pixel-level contrast.

An active optical compressive sensing system includes an optical source to generate light for illuminating a target and a pattern generator to generate a pattern. A pattern controller controls an operation of the pattern generator to cause generation of a desired pattern. The pattern is a spatial filtering pattern that enables data compression by generating sparse scattered data. Applying the pattern allows a logarithmic resource scaling.

The invention provides a smart film comprising a first transparent conductive electrode (1), a second transparent conductive electrode (2) and an active optic material (3) arranged between the first and the second transparent conductive electrodes (1, 2) in electric contact with the first and the second transparent conductive electrodes (1, 2). The active optic material (3) is configured to change at least one optical property when subject to an electrical voltage. The first transparent conductive electrode (1) is divided into a plurality of sections (11-16), the plurality of sections comprising a first section (11) and a plurality of intermediate sections (12-16), wherein the first section (11) only neighbours with one intermediate section (12). The smart film further comprises a frame (7), wherein the frame (7) covers at least a portion of the first section (11).

The application relates to a computer-implemented method for determining object information in a point cloud (28) generated by means of an active optical sensor system (10), wherein the point cloud (28) contains point information for reflection points which depends on the respective distance (di) of the reflection point, wherein the method comprises: • Identifying an object (O) in the point cloud (28), • Determining a ghost object (GO) belonging to the object (O) in the point cloud (28), • Determining object information about the object (O) using the ghost object (GO). The application further relates to a method for at least partially autonomous driving of a vehicle (20), an electronic vehicle system, a vehicle (20), a computer program product, a computing unit (24) and a data carrier.

A space domain awareness (SDA) system includes several sensor spacecraft, some in Earth orbit and others in cislunar space. Each sensor spacecraft can include a sensor payload of an active optical sensor (e.g., a laser emitter and laser detector) and an SDA processor. The processor detects, tracks, and characterizes resident space objects (RSOs) using the output from the active optical sensor. In some embodiments, the sensor payload also includes a passive optical sensor, an electromagnetic sensor, and / or a plasma sensor; the SDA processor can use the outputs of these optional additional sensors to detect, track, and characterize RSOs as well. It is also contemplated that the SDA system can include a plurality of debris capture spacecraft, each of which includes a debris impact pad that includes a series of shield and stuffing layers that respectively increase in density along an intercept direction.

The invention provides a convolutional neural network image preprocessing method for curvature wavefront detection, a medium and equipment, and belongs to the technical field of active optics and astronomical image processing. The method comprises the following steps: constructing a training data set comprising a single source, an overlapping source and background noise based on an actual observation image of a curvature wavefront sensor; extracting a candidate source list through a template matching algorithm; classifying the candidate sources by using a convolutional neural network to obtain a discrimination model capable of accurately identifying overlapped sources; and on the basis, in combination with a signal-to-noise ratio calculation method, carrying out quantitative evaluation and screening on the classified candidate sources to obtain a final high-quality source. According to the method, source extraction and identification are realized completely based on image information, external prior dependence is avoided, high-precision preprocessing can be completed under a low-delay condition, and the method has the advantages of high real-time performance, high robustness and iterative optimization, and is suitable for an active optical correction system of a large-view-field patrol telescope and other wavefront sensing preprocessing scenes.