5265 results about "Light detection" patented technology

An agricultural vehicle may include a propulsion system, a steering system, and a vehicle controller. An agricultural vehicle may include a camera sensor having a camera field of view (CFOV), a light detection and ranging (LiDAR) sensor having a LiDAR field of view (LFOV), and an imaging controller in operable communication with the camera sensor and the LiDAR sensor. The imaging controller may include a processor and at least one non-transitory computer-readable storage medium having instructions store thereon that, when executed by the at least one processor cause the imaging controller to, at least, receive image data, segment the image data, fuse LiDAR data and the image data, create a fused instance including depth information; and provide at least the fused instance to the vehicle controller, wherein the vehicle controller is configured to provide at least one navigational command based at least partially on the fused instance.

The invention, which relates to the technical field of unmanned aerial vehicle detection and countering, discloses a thunder-magnetic fusion linkage unmanned aerial vehicle detection countering system comprising a low-altitude radar module, an omnidirectional electromagnetic detection module, a dual-light detection tracking module, an information fusion module, a positioning tracking module and a countering module. The unmanned aerial vehicle detection countering system is complete in function and covers a detection means from target search, discovery, identification and confirmation of the unmanned aerial vehicle to positioning and tracking, a strike means from electromagnetic suppression interference and navigation deception and finally evaluation and confirmation of a target countering effect, and a detection countering closed-loop system of the whole process of'detection, control, strike and evaluation 'is achieved; the advantages of the low-altitude radar, the omnidirectional electromagnetic detection device and the dual-light detection tracking device are fully exerted, the defects of each single-machine device are made up, the target discovery accuracy of the unmanned aerial vehicle is greatly improved, and the false alarm rate is reduced.

To solve the problem in which: electric charges generated by a tunnel effect increase in proportion to the area of a region where the electric charges are detected; and when the area of the region where the electric charges are detected is reduced, light detection efficiency may be reduced.SOLUTION: The magnitude of the potential of a fourth semiconductor region is lower than the magnitude of the potential of a portion between the fourth semiconductor region and a third semiconductor region, and the difference between the magnitude of the potential of a first semiconductor region and the magnitude of the potential of a second semiconductor region is larger than the difference between the magnitude of the potential of the fourth semiconductor region and the magnitude of the potential of the portion between the fourth semiconductor region and the third semiconductor region. The magnitude of the potential of the third semiconductor region is lower than the magnitude of the potential of the fourth semiconductor region, and the difference between the magnitude of the potential of the first semiconductor region and the magnitude of the potential of the third semiconductor region is larger than the difference between the magnitude of the potential of the second semiconductor region and the magnitude of the potential of the fourth semiconductor region.SELECTED DRAWING: Figure 1

Disclosed herein is a sensor device for volumetric capnography. The sensor device is coupled to an adapter comprising a housing that encloses a measurement volume. The adapter is configured for gas flow along a first length axis, which aligns with a second length axis of the sensor device. The device includes an IR light source and an IR light detector, positioned on opposite sides of the housing. The IR light source emits IR light toward the detector across the measurement volume. The sensor device also includes a first ultrasonic transceiver in contact with the adapter and configured to emit ultrasound centered at a first position along the second length axis, directed partly along the axis and partly transversely. A second ultrasonic transceiver, also in contact with the adapter, emits ultrasound centered at a second position along the second length axis, directed partly opposite to the first direction and partly transversely.

The invention discloses a multi-mode end point detection system and method for a semiconductor dry process, and relates to the field of gas concentration detection. A gas absorption cell; the reference light path adjusting unit comprises an adjustable attenuator used for adjusting signals; the first photoelectric detector is used for detecting a transmission signal; the second photoelectric detector is used for detecting a reference signal; the lateral scattered light detector is used for detecting a scattered signal of the particulate matters in the gas absorption tank; and the signal processing unit is in signal connection with the first photoelectric detector, the second photoelectric detector and the lateral scattering light detector and is used for performing compensation calculation on the transmission signal based on the reference signal and the scattering signal so as to obtain a corrected gas absorption signal. By adopting the scheme, measurement signal distortion caused by optical mirror surface pollution and particulate matter scattering interference in a semiconductor tail gas optical detection technology is avoided.

The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives LIDAR data generated from a LIDAR camera; measures plurality of dimensions of the home based upon processor analysis of the LIDAR data; builds a 3D model of the home based upon the measured plurality of dimensions; and displays a representation of the 3D model by visually navigating through the 3D model.

The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives LIDAR data generated from a LIDAR camera; measures a plurality of dimensions of a room of the home based upon processor analysis of the LIDAR data; builds a 3D model of the room based upon the measured plurality of dimensions; receives an indication of a proposed change to the room; modifies the 3D model to include the proposed change to the room; and displays a representation of the modified 3D model.

The invention provides a road surface defect detection method and system based on multi-sensor fusion, and the method comprises the steps: 1, capturing a road surface image through an RGB camera, and obtaining the three-dimensional point cloud data of a road surface through LiDAR; 2, performing feature extraction on the road surface image captured by the RGB camera by using a YOLOv5 network; step 3, processing the road surface three-dimensional point cloud data acquired by the LiDAR by using a Point Net + + network; step 4, carrying out deep fusion on the image features extracted by the YOLOv5 and the point cloud features extracted by the Point Net + +; and 5, detecting and classifying the road surface defects by adopting a quantitative and qualitative combined method. According to the method, an RGB camera and LiDAR (light detection and distance measurement) are adopted, a YOLOv5 network is combined with PointNet + +, high-precision and real-time detection and classification of road surface defects are achieved, and the defects of a traditional method are overcome.

The invention discloses a wiring auxiliary structure of a screen FPC end and a screen lightening detection process, the structure comprises an epitaxial bearing platform, a base, a wiring platform, a needle die, a pressing module, a jacking module and a beating and aligning assembly, the pressing module comprises a pressing die strip and a power device, the needle die and the wiring platform are in butt joint to form a stepped matching surface, and the needle die is also provided with an air leakage channel. On one hand, the FPC end is flattened on the basis of negative pressure adsorption force formed by the downward pressing die strip in combination with movement in the up-down and front-back directions, meanwhile, position calibration of the flattened FPC end is conducted on the basis of left-right patting, and under the matched pressing fit of a matching face and the screen FPC end, accurate butt joint of an interface and a needle die is achieved, the butt joint dislocation rate is reduced, and potential safety hazards are eliminated; and on the other hand, the air flow formed by lamination is discharged based on the air leakage channel, lamination hollowing is avoided, the butt joint stability of the interface and the needle mold is improved, the displacement rate of the interface and the needle mold is reduced, and therefore the accuracy rate of the screen lightening test is improved.

The invention discloses an energy-saving illumination control system and method for an urban illumination LED lamp group, and relates to the technical field of illumination control, and the system comprises an ambient light detection module, a traffic flow monitoring module, a time period division module, a weather information acquisition module, a weather information control module, an LED lamp group driving module, a wireless communication module, a high-precision photosensitive sensor for the ambient light detection module, a filtering and temperature compensation module, and an intensity measurement accurate data transmission module. The traffic flow monitoring module depends on geomagnetism or camera shooting, is high in precision and strong in recognition, and facilitates regulation and control through data; the time period division module accurately times and corrects time according to a clock chip, and sets illumination measures according to the time; the weather information acquisition module is networked to acquire meteorological data, and lamps are adjusted according to day conditions; and the control module multi-core microprocessor calculates illumination levels and brightness according to multi-source data to control lamp groups. According to multi-factor intelligent lamp control, energy saving is remarkable, lighting quality is good, comfort and safety are improved, remote monitoring and management can be achieved, troubleshooting is accurate and efficient, maintenance is convenient and fast, intelligent and green development of urban lighting is promoted, and the intelligent city construction requirement is met.

Aspects of the present disclosure include methods for spectrally resolving light from fluorophores in a sample. Methods according to certain embodiments include detecting light with a light detection system from a sample having a plurality of fluorophores having overlapping fluorescence spectra and spectrally resolving light from each fluorophore in the sample with a generalized least squares algorithm. In some embodiments, methods include estimating the abundance of one or more of the fluorophores in the sample, such as on a particle. In certain instances, methods include identifying the particle in the sample based on the abundance of each fluorophore and sorting the particle. Methods according to some embodiments includes spectrally resolving the light from each fluorophore by calculating a spectral unmixing matrix for the fluorescence spectra of each fluorophore. Systems and integrated circuit devices (e.g., a field programmable gate array) for practicing the subject methods are also provided.

The invention relates to the technical field of display, and particularly discloses an intelligent self-adaptive eye protection display system which sequentially comprises a content analysis module, an ambient light detection module, an eye protection parameter calculation module, a display parameter adjustment module and a user feedback module. The system identifies the screen content type and the dynamic degree in real time, synchronously detects the ambient light intensity and the color temperature, obtains the optimal combination of the blue light proportion, the brightness, the contrast ratio, the color temperature and the sharpness through a multi-target optimization model, and smoothly adjusts the display through driving; a user can score, finely adjust and mark a scene, and feedback data enters a self-learning engine to iteratively update a parameter weight so as to form a content-environment-user closed loop. The system can significantly reduce blue light harm and improve visual comfort without external hardware.

A system including at least one memory and at least one processor configured to: (i) identify a set of hyperparameters affecting a wavefront and a pipeline processing a signal corresponding to a pulse received at a detector of a light detection and ranging (LiDAR) sensor; (ii) identify a set of 3-dimensional (3D) objects for detection using a neural network with the set of hyperparameters optimized based at least in part on a Covariance Matrix Adaptation-Evolution Strategy (CMA-ES) and a square root of covariance matrix scale factor; (iii) detect the set of 3D objects from a plurality of LiDAR point clouds using the neural network with the optimized set of hyperparameters and using a manually tuned set of hyperparameters; and (iv) validate the neural network optimized set of hyperparameters and the manually tuned set of hyperparameters using an average precision based upon the detected set of 3D objects, is disclosed.

The invention relates to the technical field of optical nondestructive testing equipment for the sealing performance of a blueberry bottle opening, in particular to an optical nondestructive testing device and method for the sealing performance of the blueberry bottle opening. According to the technical scheme, the optical nondestructive testing device for the sealing performance of the blueberry bottle opening comprises an optical testing device, mounting grooves, a lead screw, a mounting support, a mounting ring, a Fresnel lens, a micrometer caliper, a double-color laser line light source and a rotating motor, and the mounting grooves are formed in the two sides of the interior of the optical testing device; compared with a traditional optical nondestructive testing device for the sealing performance of the blueberry bottle opening, a single light source or a simple lens group is mostly adopted, a 360-degree annular area of the bottle opening is difficult to cover, illumination on the edge of the bottle opening or a complex curved surface area is insufficient, and tiny defects are prone to being omitted; according to the optical nondestructive testing device for the sealing performance of the blueberry bottle opening, the double-color laser line light source is matched with the Fresnel lens array, multispectral reflection data are synchronously collected, the surface micro-mark contrast is enhanced by utilizing wavelength difference, and the monochromatic light detection sensitivity is effectively improved.

The invention provides a power transmission line windage yaw galloping monitoring and three-dimensional imaging system based on a laser triangulation method, and relates to the technical field of laser ranging, and the system comprises a windage yaw galloping excavation assembly which is used for carrying out windage yaw galloping partition division and windage yaw galloping relation excavation; the windage yaw galloping monitoring module configuration assembly is used for configuring a windage yaw galloping monitoring module; the laser detection data determination assembly is used for determining laser detection data; the three-dimensional imaging module construction component is used for constructing a three-dimensional imaging module; the three-dimensional windage yaw galloping model determining assembly is used for determining a three-dimensional windage yaw galloping model; and the monitoring and early warning assembly is used for carrying out power transmission line monitoring feedback and windage yaw galloping early warning. The technical problems that the power transmission line windage yaw galloping monitoring precision is low and the three-dimensional motion information of the power transmission line cannot be accurately obtained can be solved, and the technical effects of improving the power transmission line windage yaw galloping monitoring precision and ensuring the accuracy of windage yaw galloping early warning by obtaining the dynamic three-dimensional image of the power transmission line are achieved.

The invention discloses an ultra-weak light detection system and method based on an SPAD array and time correlation photon counting, and belongs to the technical field of ultra-weak light detection. A multi-channel SPAD array detection unit; a time-to-digital conversion module; the photon arrival time analysis unit comprises a TCSPC model, a noise modeling and suppression module and a self-adaptive convolution filter; a data compression and fitting module; a spatial denoising filter; an output unit; and a master control processing unit. Based on a multi-channel SPAD array detection unit, a time-to-digital conversion module, a TCSPC model, a noise modeling and suppression module, a self-adaptive convolution filter and the like, high-sensitivity imaging and quantitative detection of materials (such as black silicon) with extremely low reflectivity are realized. The system has the advantages of being good in real-time performance, high in time resolution, high in signal-to-noise ratio, high in on-chip processing capacity, high in integration and the like, and meanwhile the bottleneck of a traditional TCSPC method for large-scale photon data processing is solved.

The invention relates to a hazardous substance identification method fusing multi-source information collected by an unmanned aerial vehicle, and belongs to the technical field of hazardous substance detection. Optical detection data and magnetic detection data collected by the unmanned aerial vehicle for the first time are identified, invalid data are eliminated, and an optical detection position point and confidence and a magnetic detection position point and confidence are obtained; corresponding target points are obtained through matching on the basis that all distance combinations of the optical detection position points and the magnetic detection position points are smaller than a first distance threshold value, a batch of hazardous object target points are found out through a first preset threshold value, secondary detection within a narrowing range is carried out on the other target points, and the remaining hazardous object target points are found out; the problems that in the prior art, existing detection efficiency and reliability are not high, and analysis and processing of detection results are complex are solved.

The invention belongs to the technical field of laser flatness testing, and particularly relates to a modularized box room installation flatness testing device which comprises a fixed frame and a laser detector located in the fixed frame, and further comprises a moving mechanism arranged on the inner side wall of the fixed frame, and the laser detector is arranged on the moving mechanism. The motor is used for driving the laser detector to move multidirectionally; the first electric push rod is fixedly arranged at the bottom of the moving mechanism, a mounting plate is fixedly arranged at the moving end of the first electric push rod, and the laser detector is fixedly mounted on the lower surface of the mounting plate. Through multi-dimensional innovation of optical protection, a self-adaptive mechanical structure, intelligent environment control, automatic marking and the like, the precision and efficiency of modular box room installation flatness detection are remarkably improved, and manual dependence and environment interference are reduced through intelligent design.

The invention relates to the technical field of focus testing, and particularly discloses a laser cutting head zero focus testing method based on reflected light detection, which comprises the following steps: S1, acquiring an optical signal reflected by a processed plate in a cutting process; s2, adjusting the position of a focusing lens to enable a laser focus to move along the optical axis direction relative to the surface of the plate; s3, recording reflected light intensity values corresponding to different focus positions, obtaining a function relationship between the reflected light intensity and the focus positions, and drawing a light intensity-focus position relationship curve; s4, determining a corresponding focus position when the intensity of the reflected light reaches the maximum value as an optical zero focus position of the system; s5, automatically recording and storing an optical zero focus position; the reflected light detector arranged in the cutting head or the laser reads the intensity of the reflected light in the cutting process, the function relation between the focus position and the intensity of the reflected light can be established, and the focus position corresponding to the maximum value of the intensity of the reflected light is the most accurate optical zero focus position.

A method is provided for beam management. The method includes obtaining, by a Light Detection and Radar (LiDAR) sensor having one or more LiDAR cameras performing ray-tracing, out-of-band infrared measurements of a surrounding environment. The method further includes selecting, by a base station, a transmission and reception beam pair for use in the surrounding environment from a plurality of available transmission and reception beam pairs responsive to the out-of-band measurements of the surrounding environment.

The invention relates to the field of gas leakage detection, and discloses a gridding directional laser methane detection system, which comprises the following steps of: acquiring area information which comprises a methane absorption signal, environmental data, background gas, an area image and historical leakage data; generating first two-dimensional structure data from the collected regional information, wherein the first two-dimensional structure data comprises a data matrix and a relation matrix; first one-dimensional structure data is obtained based on sorting of the first two-dimensional structure data, wherein the first one-dimensional structure data comprises n data items sorted according to time; and inputting the first two-dimensional structure data into the detection model, and outputting a methane leakage processing strategy. According to the invention, detection and treatment strategies of methane in fuel gas can be realized, and a distribution strategy of the methane laser detection device can be further given.

The invention discloses a camera zoom control system and method based on an optical zoom technology, and relates to the field of camera zoom control, and the system comprises a zoom instruction receiving module, a lens parameter calculation module, a drive control module, a lens movement module, an image quality evaluation module, an ambient light detection module, an anti-shake compensation module and an intelligent learning module. The receiving module receives a zooming instruction of a user to obtain a target focal length. The calculation module calculates a focal length variation and a lens moving distance. The driving module generates a signal to control the lens to move. The lens module moves to realize zooming. The evaluation module evaluates the image quality. The detection module detects the light intensity of a shooting environment. The learning module collects a data learning algorithm to establish a mapping model. According to the invention, the zoom precision and the shooting quality are improved, the influence of light on precise zoom is considered, the anti-shake function reduces shake interference, the image quality is comprehensively evaluated, the high-precision motor ensures accurate mirror moving, the zoom effect is optimized through closed-loop control and intelligent learning, and personalized services are provided.

This disclosure generally relates to intelligent image segmentation and object recognition in digital images, and is particularly directed to real-time identification / classification of terrain texture and detection of obstacles and drivable area in an environment via object recognition and image segmentation for robotic and navigational applications. In particular, the disclosed Drivable Area Segmentation (DAS) framework uses a ground plane or environmental terrain segmentation algorithm to make a rough estimation of the drivable area or usable terrain area. This area is further refined using a modified fast One-Shot-Texture Retrieve (F-OSTR) model to exclude low profile objects in the area. The F-OSTR model includes a fast texture-oriented one-shot segmentation neural network trained using a Perlin-noise-based collage synthesis technique and thus does not need manually labeled training data. For an area with non-uniform textures, a plurality of texture masks may be generated based on, for example F-OSTR and then used to more accurately classify the texture of the area. In addition, LiDAR (Light Detection And Ranging) sensors may be employed to generate density point cloud to supplement RGB image based obstacle detection in order to reduce false obstacle detection due to varying lighting conditions.

A system for emulating an over-the-air environment for testing a Frequency-modulated Continuous Wave (FMCW) light detection and ranging (LiDAR) unit under test (UUT). The system includes an optical lens system that receives an FMCW laser signal from the LiDAR UUT, and provides the signals to one or more optical fibers. A slope, chirp timing and intensity of the FMCW laser signal is determined using digital signal processing, and a modulation waveform is determined to emulate an over-the-air (OTA) environment based at least in part on the slope, chirp timing, and intensity. An in-phase quadrature phase (IQ) modulator modulates the FMCW laser signal using the modulation waveform and provides the modulated laser signal back through the optical lens system to the LiDAR UUT.

A system for automatically adjusting the lighting parameters of a space is disclosed herein. The control module sets the target lighting parameters in the space and drive the smart lamp groups to illuminate by using the preset light recipe and to control the smart lamp groups to perform the illumination. The control module compares an ambient light detection value in the actual environment with the target value. When the ambient light detection value is not the same as the target value, the control module drives the ambient light sensor module performs a dimming procedure to the smart lamp groups. Wherein, the dimming procedure includes the step of adjusting an illuminance uniformity of the space according to the actual illuminance detected by the ambient light sensor module. After the calculation of the illuminance uniformity formula, the illuminance uniformity is adjusted to be the same as a target illuminance uniformity.

The resolution of a display apparatus having a light detection function is increased. A display apparatus includes a plurality of transistors and a light-emitting and light-receiving device in a subpixel. The light-emitting and light-receiving device has a function of emitting light of a first color and a function of receiving light of a second color. One of a source and a drain of a first transistor is electrically connected to a first wiring, and the other thereof is electrically connected to a gate of a second transistor. One electrode of the light-emitting and light-receiving device is electrically connected to one of a source and a drain of the second transistor, one of a source and a drain of a third transistor, and one of a source and a drain of a fifth transistor. One of a source and a drain of a fourth transistor is electrically connected to a second wiring, and the other thereof is electrically connected to the other of the source and the drain of the third transistor.

The invention provides a control method of a detection system, and the detection system comprises an illumination module, a first detection device, and a light splitting module and a first power adjustment module between the illumination module and the first detection device. The first detection equipment is used for detecting a first to-be-detected surface to obtain a first detection signal, the light splitting module is used for splitting the illumination light beam to obtain a first sub-light beam and a second sub-light beam, the first detection equipment can be illuminated based on the first sub-light beam, and optical power detection can be performed based on the second sub-light beam; therefore, illumination and light detection can be both considered, when the actual light power exceeds the preset range, the light power of the light beam penetrating through the first power adjusting module is adjusted so as to adjust the intensity of the first detection signal, and if the intensity of the first detection signal meets the preset condition, the light beam is detected. And the adjustment of the optical power of the light beam penetrating through the first power adjustment module is stopped, so that the accurate adjustment of the optical power is realized.

Proposed is a multi-sensor fusion device for performing extrinsic calibration in real time. The multi-sensor fusion device may include a camera unit including at least one camera and configured to produce image information of a surrounding environment by using the camera. The multi-sensor fusion device may also include a light detection and ranging (LiDAR) unit including at least one LiDAR and configured to produce a point cloud of the surrounding environment by using the LiDAR; a data combination unit configured to produce combined data in which the image information is combined with the point cloud. The multi-sensor fusion device may further include a data computation unit configured to derive an extrinsic calibration parameter by inputting the combined data into an extrinsic calibration model and perform extrinsic calibration of the camera and the LiDAR based on the derived extrinsic calibration parameter.

The invention relates to the technical field of molecular optoelectronic devices, and particularly discloses a chiral molecule, a chiral molecule device, a preparation method and circularly polarized light detection application. Wherein the chiral molecule is a functional molecule which contains a chiral center and has a D-A-D structure type, and the chiral molecule device comprises a silicon substrate, an aluminum oxide dielectric layer, a metal electrode, a graphene point electrode and an RE-PDI molecule and is applied to circular polarized light detection. The invention designs and synthesizes a functional molecule RE-PDI which contains a chiral center and has a D-A-D structure type, and the functional molecule RE-PDI is assembled between graphene point electrodes with nano gaps through a chemical decoupling method. By using the distinguishing response of RE-PDI molecules to different types of circularly polarized light, distinguishing detection and dynamic periodic adjustable response to left-handed and right-handed circularly polarized light can be stably realized.

Provided is a light detection device that suppresses light interference. The light detection device includes: a semiconductor layer having a photoelectric conversion unit; a first insulating film layered on a light incidence surface side of the semiconductor layer; an optical element having a metal film layered on the first insulating film and an opening array formed in a region, of the metal film, that overlaps with the photoelectric conversion unit in plan view, the optical element being capable of selecting a specific light; a second insulating film layered on the optical element; and a third insulating film layered on the second insulating film. One of a surface of the metal film on the second insulating film side thereof or a surface of the second insulating film on the third insulating film side thereof has unevenness that is greater than unevenness in a surface of the metal film on the first insulating film side thereof or a surface of the first insulating film on the semiconductor layer side thereof.