1805results about "Optical detection" patented technology

The invention discloses a railway tunnel foreign matter detection method based on radar point cloud and RGB image fusion. The method comprises the following steps: acquiring a laser radar point cloud and an RGB image in a railway tunnel; obtaining an RGB image by using an adversarial network model GAN to judge the abnormal occurrence state of the foreign matter in the railway tunnel, and if the abnormal state of the foreign matter occurs, projecting the obtained laser radar point cloud to an image plane to obtain a dense depth map; processing through a sliding window to obtain data slices which are approximately square; and carrying out data feature extraction, fusion and foreign object target detection on the data slices of the RGB image and the dense depth map by using a fusion target detection network based on the OfficientNet-FPN, and outputting a foreign object target information detection result containing a target category, a position, a confidence coefficient and a distance. According to the railway tunnel foreign matter detection method based on radar point cloud and RGB image fusion, high precision, high efficiency and high reliability of railway tunnel foreign matter detection are realized.

The invention provides an underground structure boundary identification method and system based on distributed optical fiber sensing, and relates to the technical field of underground structure detection and boundary identification. The method comprises the following steps: firstly, arranging a sensing array in a to-be-detected area, establishing a channel corresponding to a space coordinate, and collecting a non-excitation base line; medium and noise are estimated through low-energy probe, excitation frequency band, energy and repetition rate are optimized, and the signals are emitted by an adaptive seismic source; reflection and transmission responses are synchronously collected under the unified time reference; performing wavelet denoising, temperature and dispersion compensation and time alignment on the data, and extracting amplitude, phase and frequency characteristics; gradient is calculated on the feature field, non-maximum suppression is carried out, and stable boundary points are obtained by adopting self-adaptive double thresholds based on local statistics and combining time continuity and space connectivity constraints; a two-dimensional section is obtained through spline fitting, a three-dimensional model is reconstructed under the constraint of multi-section consistency, a section map and the three-dimensional model are output, and high-precision, real-time and visual detection of small-size boundaries is achieved.

The invention relates to the technical field of laser heat treatment, and provides a calibration method of a full-automatic circuit board cutting machine. The method comprises the following steps: acquiring physical coordinates of a circuit board of a cutting device through an intelligent sensor, and constructing a reference coordinate system matrix based on the physical coordinates; determining vibration parameters of the cutting device according to coordinates of laser spots emitted by a laser and the reference coordinate system matrix, and generating a nonlinear error component according to the vibration parameters and power information of the laser; generating an error function based on an error matrix formed by the error components, and determining a calibration coefficient vector by solving the error function; closed-loop control is conducted on the laser path of the cutting device through the calibration coefficient vector, the adaptability of the cutting device to complex working conditions is improved by integrating multi-source error factors and establishing a nonlinear mapping relation, and the cutting precision and stability are ensured.

The invention discloses an illumination adaptability rock crack identification and calibration method based on an image identification algorithm, and relates to the technical field of geotechnical engineering intelligent image identification, and the method comprises the following steps: collecting an illumination incident angle, a polarization state and an illumination gradient corresponding to an image frame, building an illumination time sequence observation layer, and obtaining an illumination time sequence observation layer; forming an illumination feature baseline for crack boundary tracking; and performing coherent phase decomposition on the image sequence based on the illumination feature baseline, stripping mirror reflection and enhancing diffuse reflection texture, and generating a crack drift suspicion image. Through construction of an illumination time sequence observation layer and coherent phase decomposition, illumination interference stripping in a crack image is realized, false drift is eliminated by combining anti-fact playback and time reconstruction, and a dynamic threshold control mechanism is constructed by introducing an anti-illumination mask and an anti-phase pattern and linking a polarized light diaphragm and a shading array. And high robustness of crack identification and closed-loop regulation and control of false early warning are realized.

The invention relates to a three-waveband off-axis reflective optical system with view field switching and focusing functions. Belongs to the photoelectric technical field. Multi-band common-caliber imaging is realized by adopting an off-axis two-reflection-path form, imaging information can be continuously obtained day and night all day, laser emitting and receiving capabilities are considered, and the device has functions of positioning aiming, laser guiding and the like. Large and small field-of-view switching imaging is realized through switching-in and switching-out of the secondary mirror, and the system has the capability of carrying out rapid search in a large field-of-view range and carrying out accurate identification and tracking in a small field-of-view range; the auto-collimation focusing of the optical system is realized by switching the position of the focusing mirror and arranging the focusing system, the system is ensured to be clear in imaging under the use conditions of different atmospheric pressures, temperature changes and photographing distances, and the system is suitable for accurate aiming and detection of a target under various complex and severe working conditions. The total reflection optical system is free of chromatic aberration, free of blocking, compact in structure and high in system integration degree, and the requirement for functional diversification of a photoelectric system is met.

The invention relates to a light curtain. The wiring workability under the condition that an operation indicating lamp is arranged on a light curtain of an optical synchronization system is improved. The light curtain includes a synchronization unit (optical axis for timing synchronization) for synchronizing the light projection timing of the light projector and the light reception timing of the light receiver by optical communication. A safety signal generated on the basis of whether or not an optical axis formed between the light projector and the light receiver is in a light-shielding state is output to the outside. The light curtain comprises a first operation indicating lamp arranged in the light projector; the second operation indicating lamp is arranged in the light receiver; an optical element (optical axis) provided in each of the light projector and the light receiver and configured to display the first operation indicator light and the second operation indicator light in conjunction with each other; and a control circuit configured to display the first operation indicating lamp and the second operation indicating lamp in linkage by using at least one group of optical elements.

The invention discloses a laser broken line rapid identification method for a spinning process, relates to the field of spinning detection, and is used for solving the problem of high identification error rate in a multi-material blending and frequent line changing environment. A multi-channel optical behavior characteristic matrix is formed by constructing a broken line recognition mechanism based on material perception and light intensity behavior characteristic collaborative modeling, collecting light intensity response data of yarn channels, constructing a dynamic detection sequence and extracting characteristics such as shielding amplitude gradient and recovery time delay. A yarn material identifier is introduced, a spectral response template is matched, a broken yarn judgment threshold group is generated, whether shielding sudden change and delay recovery characteristics are met or not is judged in combination with a detection sequence, a broken yarn event is accurately recognized, and recognition parameters are corrected in real time according to the shielding edge change rate and fluctuation stability in light intensity changes before and after yarn breakage. The dynamic optimization of the broken line judgment condition is realized, and the recognition precision and the response speed are improved.

According to the single-photon laser multispectral polarization detection method and system under underwater turbulence disturbance provided by the invention, pulse laser is emitted to a target after being scanned, and weak echoes of the pulse laser are received by a double-photon detector and a single-photon detector after being subjected to spectral filtering and spatial polarization beam splitting. A time correlation single photon counting technology is adopted, time, polarization and wavelength information of each photon is recorded synchronously, and a multi-dimensional data set is generated in combination with a scanning angle. After turbulence noise is suppressed through preprocessing, target distance information is extracted to generate a three-dimensional point cloud, and the polarization degree and the depolarization ratio of each pixel point are calculated; and finally, geometric, polarization and spectral data are fused, a high-precision three-dimensional terrain and polarization image is generated, and accurate target identification in a complex underwater environment is realized. According to the invention, a set of multi-dimensional information sensing system capable of carrying out long-distance, high-resolution and high-precision classification and identification on a target in a complex underwater environment with strong attenuation, strong noise and strong turbulence disturbance is constructed.

The invention discloses a low-altitude multi-target TOPSIS threat assessment method based on variable weight VWT-LRA. The method comprises the following steps: 1) selecting five static attributes such as a target type, a damage capability and a protection capability and four dynamic attributes such as a target speed, a target height and a target distance as attribute indexes of an aerial target threat degree assessment system; 2) constructing different membership functions for the dynamic attributes, quantitatively assigning threat degrees of the static attributes, and constructing a target membership matrix; 3) solving a self-adaptive variable weight matrix by adopting a subjective and objective combination weighting method and a variable weight VWT-LRA-based weight adjustment method; and 4) according to the solved target membership degree matrix and the adaptive variable weight matrix, evaluating the target threat degree by using a TOPSIS method based on a relative Euclidean distance, and sorting the target threat degree. According to the invention, the threat degree of the air target can be rapidly and accurately evaluated.

There is provided an object scanning apparatus. The object scanning apparatus may include a THz source emitting a THz beam; an optical system for directing the THz beam; a zone for inspecting objects wherein the optical beam interacts with the object; a motion device for changing the spatial or temporal interaction of the object and optical beam; at least one transducer, the at least one transducer including an imaging transducer for converting the optical beam energy after interaction with the object to an electronic image; and a processor for performing processing of the image for use in characterization of the object or its interior contents or composition.

A sliding cover for a liquid delivery device, such as a cap (100) for a pen injector (200), incorporates a set of sensors including an optical sensor (110) with an output which changes during uncapping or capping motions on passing of a plunger (220) of the pen injector. This output is used together with a position sensor (120) to determine the position of the plunger along a cylinder (210) of the liquid delivery device. By monitoring changes in the plunger position, the quantity of dosages delivered by the liquid delivery device can be determined, displayed, stored and / or transmitted to an external device for further data processing or storage. Preferred implementations of the invention employ optical sensors with a converging beam (115), and / or position sensors employing linear potentiometer strips (132).

The invention discloses a space-based double-satellite asynchronous detection multi-target correlation positioning system and method, the system comprises space-based optical satellites and a central processing unit, each space-based optical satellite is equipped with a large-view-field optical electro-telescope, and the large-view-field optical electro-telescope is used for carrying out image acquisition on a space target; and the central processing unit comprises a computer, the computer is in communication connection with the space-based optical satellite, and an image processing module, an angle measurement data generation module, a data association module and a target positioning module are integrated in the computer. According to the characteristics of space-based double-star asynchronous observation, a complete process from image processing, angle measurement data generation, time series data association to final positioning is designed, and the method is particularly suitable for monitoring and positioning a large number of space non-cooperative moving targets; by introducing time registration and sequence geometric consistency judgment, the association problem caused by asynchronous double-star observation time is effectively solved, and the accuracy and robustness of data association in a multi-target scene are improved.

The invention relates to the technical field of coal conveying safety monitoring, and discloses a method for detecting foreign matters on a coal conveying belt in a coal conveying system. The method comprises the steps that laser scanning point clouds and spectral imaging information are collected from multiple azimuth angles, a multi-dimensional light field model representing belt surface geometric topology and material reflection characteristics is established, and a driving motor power spectrum and a bearing vibration spectrum are synchronously obtained. And associating the multi-source information, carrying out three-dimensional dynamic reconstruction and material marking on the conveying load, and further separating out the non-coal geometry mixed in the coal flow. And performing spectral feature inversion and mechanical response simulation based on material physical attributes on the separated foreign matter geometry, and performing adaptive mode matching on the result and a non-coal substance standard feature library, thereby accurately identifying the foreign matter type and evaluating the confidence coefficient. And the mechanical arm at the designated position is triggered to execute end effector path planning according to the recognition result. According to the invention, accurate and robust detection and positioning of the foreign matters on the coal conveying belt are realized.

The invention discloses a wire nodule detection device. The wire nodule detection device comprises a rotating wheel; the swinging arm comprises a pressing part suitable for pressing the conveyed wire on the rotating wheel; and a sensor for detecting the position of the swing arm. When knots on the conveyed wire rod pass through the space between the rotating wheel and the pressing part of the swing arm, the swing arm swings back and forth once between the first position and the second position, and therefore whether the conveyed wire rod has the knots or not can be judged according to the position detected by the sensor. According to the invention, the wire nodule detection device can detect nodules on the conveyed wire in time, so that the problem of blockage caused by the nodules of the wire can be effectively prevented.

A receiving circuit, a detection method and apparatus, a lidar, and a vehicle are provided. The receiving circuit is used for the laser radar and comprises a first detector and a conversion circuit. The first detector is configured to be in a working state at a first time, and the first time comprises a plurality of first light emitting times of the laser radar or a first working time of the laser radar. The conversion circuit is coupled to the first detector and is configured to convert a plurality of first electric signals output by the first detector at a first time into second electric signals. The second electric signal is used for carrying out shielding detection on a window of the laser radar, and the second electric signal comprises a plurality of accumulated signals of the first electric signals. The accumulation of the plurality of first electric signals output by the detector can increase the waveform difference of the second electric signals under the conditions of shielding and no shielding, so that the accuracy of shielding detection can be improved by using the second electric signals to perform shielding detection.

The invention discloses a microwave substrate defect identification and automatic sorting method, which comprises the following steps of: setting a first machine position to carry out front and back judgment on a microwave substrate, and entering a second machine position when judging that the microwave substrate is the front side; setting a second machine position for front detection and positioning, identifying front defects, and determining to enter a third machine position or move into a waste tank according to an identification result; a third machine position is arranged for reverse side detection and template matching; determining to enter a fourth machine position or move into a waste tank according to a detection result; a fourth machine position is arranged to execute microwave substrate placement and neat sleeving performance detection; determining whether sorting is completed or not according to a detection result; iDs are generated for each microwave substrate, data recording, query and tracing are carried out, and the whole-process processing quality of the microwave substrates is guaranteed. According to the invention, the whole-process treatment of the microwave substrate is realized, the product quality consistency and the production efficiency are improved, and higher economic benefits and quality management guarantee are brought to enterprises.

The embodiment of the invention discloses intelligent glasses, a shielding detection device and electronic equipment, and is characterized in that a sensor assembly is arranged in a mounting cavity of a shell and is aligned with a light hole of the shell, and the sensor assembly comprises an ambient light sensor, a proximity sensor and an infrared light source; at least two visible light sources are arranged in different radial directions of an ambient light sensor, a control circuit controls a visible light source group to emit indication light, controls an infrared light source to emit infrared light, and determines the shielding state of a window according to at least one of a first detection signal of the ambient light sensor and a second detection signal of a proximity sensor. The indication light emergent area and the shielding detection light incident area share the same light hole, the condition that shielding detection fails when only the indication light emergent area is shielded is avoided, and the field angle of the ambient light sensor is relatively symmetrical in all directions through the position arrangement of the visible light source, so that the shielding detection accuracy is improved. And the shielding detection sensitivity and accuracy can be improved.

The invention relates to the technical field of remote sensing prospecting, and discloses a uranium-copper multi-metal remote sensing prospecting method which comprises the following steps: S1, data acquisition and preprocessing; s2, alteration information is extracted; s3, multi-source information comprehensive analysis and prospecting prediction; s4, alteration abnormity verification is carried out; and S5, delineating the prospecting target area. According to the method, vegetation spectrum interference is stripped by carrying out principal component analysis on visible light-short wave infrared of a remote sensing image, weak iron staining and hydroxyl alteration signals are extracted, a geological and remote sensing coupling technology is carried out, alteration anomaly is superposed with a geological map, geochemical data and a construction interpretation result, a comprehensive remote sensing anomaly map is obtained, and the comprehensive remote sensing anomaly map is obtained. According to the method, the multi-parameter grading model GGS is established, and the target region is graded based on the multi-parameter grading model GGS, so that the probability of missed judgment of the target region is reduced.

The utility model discloses a wind and sand prevention surveying instrument which comprises a main body mechanism and a protection mechanism, the protection mechanism comprises a sleeve of which the end part is mounted on the outer side of the lens through threaded connection, a UV mirror fixed on the inner wall of the sleeve, a pipe body which is mounted at the top end of the sleeve and is communicated with an inner cavity of the sleeve, a high-speed fan mounted on the inner wall of the pipe body, and hanging racks symmetrically fixed at the bottom end of the sleeve; an external thread is arranged on the outer side face of the lens, an internal thread is arranged on the inner wall of the end of the sleeve, and the external thread and the internal thread are meshed with each other, so that the sleeve is conveniently installed on the lens, the sleeve is conveniently installed and disassembled, the UV lens is fixed on the inner wall of the sleeve, and the UV lens is fixed on the inner wall of the sleeve. A closed environment is formed on the outer side of the lens in cooperation with the sleeve, wind, sand, dust and the like can be prevented from being attached to the lens, meanwhile, ultraviolet rays are filtered out through the UV lens, distant scenery is clearer, and the wind and sand prevention surveying instrument has the advantages of wind and sand prevention and high practicability.

This invention discloses an intelligent rebar tying robot capable of moving on a rebar mesh. It includes a base, a walking mechanism, a lifting mechanism, a horizontal translation mechanism, and a tying mechanism. The walking mechanism is mounted on the base and can drive the base to move along a first direction on the rebar mesh. The horizontal translation mechanism is mounted on the base, and the lifting mechanism is mounted on the horizontal translation mechanism. The horizontal translation mechanism cooperates with the lifting mechanism to drive the base to move along a second direction on the rebar mesh. The tying mechanism is mounted on the base. This robot has a simple structure, reliable operation, autonomous movement, and can automatically identify the tying position and perform tying operations, thereby automating the tying process.

A safety grating expansion board and a detection circuit and method for the number of lamp beads are provided, the detection circuit comprises a main control module and at least one expansion module, and the main control module comprises a clock output end, a starting output end and a detection end; each expansion module comprises a pulse latch unit, a clock input end, a first data input end, a first data output end, a second data output end and a second data input end, the clock input end is used for receiving a clock pulse signal, the first data output end is used for outputting a first latch level according to a second latch level or a preset starting signal, and the second data output end is used for outputting a second latch level according to a preset starting signal. The second data output end is used for outputting a second latch level according to the first latch level, and the main control module is configured to determine the number of the expansion modules according to the output times of the clock pulse signals when the detection end recovers from the low level to the high level. According to the embodiment of the invention, the number of the expansion boards can be automatically detected in a production link, manual input errors are avoided, and repeated configuration processes are reduced.

The invention discloses a high-risk rockfall monitoring method and system based on 4D millimeter-wave radar and video fusion, through fusion of the 4D millimeter-wave radar and an image acquisition technology and full utilization of the all-weather and all-time monitoring capability of the 4D millimeter-wave radar, the high-risk rockfall monitoring method and system can penetrate through severe weather conditions such as rain, fog, dust and the like; the three-dimensional position, speed and track information of the rockfall target is accurately captured, and the target identification capability is enhanced in combination with video image data, so that the false alarm rate is effectively reduced, and the monitoring precision and reliability are remarkably improved.

The application discloses a kind of iron core processing equipment, to provide a kind of iron core oil hole throughness detection equipment and its control method with good detection effect, the specific position of the efficiency of detection can be accurately blocked, its technical scheme main points are through mechanical structure drive, sensor detection and algorithm determination, form the automatic high-precision oil hole throughness detection process, when lifting mechanism reaches detection mechanism, iron core can pass through detection groove, simultaneously mounting plate and the baffle of detection mechanism are in contact, lifting assembly continues to move, at this time, mounting plate is adhered to bottom plate under the action of the baffle of detection mechanism, detection rod on bottom plate passes through through-hole and enters the oil hole of iron core, if iron core oil hole is blocked, detection rod lifts iron core and blocks the signal of infrared detection device, complete the automatic detection of iron core, after detection is completed, lifting assembly is returned to complete reset, overall process is simple, the application is suitable for iron core oil hole detection technical field.

The invention relates to the technical field of water resource investigation, in particular to a method and system for calculating dynamic surface water reserves in combination with an SWOT satellite.The method comprises the steps that water surface height data are collected, water surface area calculation is conducted, dynamic weight distribution sensitive to environmental factors and multi-source fusion are conducted, and the water surface area of a target surface water body is obtained; performing water level measurement; fusing and correcting all the water level measurement data obtained by calculation to obtain a corrected water level elevation; acquiring underwater topographic data, and performing feature-level fusion and error minimization optimization on the underwater topographic data by adopting a multi-modal deep learning framework to obtain the underwater topographic data; and calculating the water reserves of the target surface water body. The method solves the problems of single observation data source and susceptibility to environmental interference in the prior art, and has the characteristics of high robustness and all-weather adaptability.

The invention discloses a signal processing method for quantum enhanced distributed optical fiber monitoring, and belongs to the technical field of optical fiber water seepage detection. The method comprises the following steps: firstly, injecting quantum enhanced probe light into an optical fiber, collecting echo signals, and subtracting signal values at adjacent moments to obtain echo differential signals; performing normalization processing on the echo differential signal and the echo signal, and completing signal enhancement in combination with a signal enhancement coefficient to obtain a differential enhancement signal and an original enhancement signal; dividing the two types of enhanced signals into a plurality of sub-signals, marking normal sub-signals, and obtaining four variation vectors based on the difference between the difference main amplitude, the original main amplitude and the difference between the difference high-frequency energy and the original high-frequency energy; and finally, processing the four variation vectors by adopting a penetration recognition neural network, and outputting a water penetration state result. Through a signal processing strategy of quantum enhancement and multi-dimensional variation feature fusion, the accuracy of water seepage detection in distributed optical fiber monitoring is improved.

This invention provides a method and apparatus for detecting termite nests in earthen embankments. The method involves mounting a high-definition camera and / or an infrared thermal imager and / or an infrared gas imager and / or a plant spectrometer on a drone. The high-definition camera captures images of the embankment surface and its surroundings. An AI model trained using artificial intelligence training methods identifies natural phenomena in the high-definition images that reflect the living habits of termites. The infrared thermal imager utilizes the temperature difference between the inside of the termite nest and the surface of the embankment to locate anomalies in the embankment surface temperature. The infrared gas imager detects the CO2 distribution on the embankment surface to identify areas with abnormal carbon dioxide levels. The plant spectrometer searches for changes in the spectral composition of plants on the embankment surface to locate possible fungi growing above termite nests. By mounting two, three, or four of these devices on the drone, the same area is scanned simultaneously using multiple devices to screen for abnormal areas and determine the termite nest area. This is then combined with manual and physical detection methods to pinpoint the termite nest.

The invention discloses a super-surface sub-terahertz inversion imaging method and system, and relates to the field of multi-dimensional electromagnetic imaging. The problems of view field mismatching, output delay, large-size imaging and the like existing in a directional aperture sharing TR framework of an existing APCI based on the metasurface are solved, synchronous extraction of sub-terahertz frequency band active scattering and passive radiation data is achieved through spatial staggered layout and related average processing technologies, and the system has the advantages that the system is simple in structure and convenient to operate, and the system is easy to popularize and use. And a solution is provided for single-region information decoupling and multi-target fusion imaging. The highly integrated and high-throughput sub-terahertz APCI technology promotes the development of the detection system towards the direction of miniaturized deployment and real-time data reading. Besides, a non-imaging security check scheme is also introduced, non-interactive autonomous identification and hidden monitoring of hidden objects in public scenes are realized, and the method is also suitable for the application fields of aircraft navigation positioning, abnormity monitoring, non-interactive hidden security check and the like.

A device 100 for development of concentration, the device 100 comprising: an optical sensing unit, the optical sensing unit comprising a plurality of one or more lenses 201, 202 capable of holding sensitive elements, wherein the plurality of sensitive elements are configured to sense a biological signal provided by a user in at least three operational modes, three switches for switching between the plurality of operation modes; a plurality of lightning units configured to indicate each of the plurality of operation modes by emitting a predetermined light signal; a processing unit for processing information using artificial intelligence.