11769 results about "Optic system" patented technology

The invention belongs to the technical field of optical precision measurement, and particularly relates to a wafer defect detection system based on dual-channel optical imaging. According to the invention, dark field scattering and diffraction phase microscopy are combined as two optical imaging channels; optical paths of the two imaging modes are compatible and synchronized; through optical system calibration and optimization, high-precision acquisition and alignment of multi-modal images are realized; calibrating the sensitivity and resolution of the system by using a standard sample to ensure that the detection performance meets a preset requirement; carrying out dual-channel synchronous imaging on the wafer sample to be detected, and respectively obtaining a dark field scattering image and a diffraction phase image; carrying out conjoint analysis on the multi-modal data through an image algorithm, extracting size, depth and structure information of defects, and generating a high-precision defect detection report; the system specifically comprises a dark field scattering imaging module, a diffraction phase microscopic imaging module and an image processing unit. According to the invention, the defect of a single imaging mode can be effectively overcome, and the detection precision and robustness of the system are remarkably improved.

A computer-implemented system and method for pupil-directed retinal projection in near-eye displays are disclosed. The computer-implemented system provides smart glasses with directed physical pixels that project light beams / signals directly onto a user's retina based on pupil position and size. The glasses comprise a frame, lenses with directed pixel layers, and sensors for tracking pupil movement. Each directed pixel may generate multiple virtual pixels by rapidly changing its emission angle. The glasses function as prescription lenses, virtual reality displays, and augmented reality devices without traditional optical systems. Additional features include depth sensors, cameras, and connectivity to peripheral devices. The glasses enable a seamless blend of virtual and real-world experiences, creating an immersive “Mixverse” environment. Various input methods, including gesture recognition and brain-computer interfaces, allow for intuitive control and interaction.

The embodiment of the invention provides an optical system, intelligent head-mounted equipment and a zooming method of the optical system. The optical system is used for the intelligent head-mounted device, and the optical system comprises an imaging module, an eyeball tracking module and a processor. The imaging module comprises a zoom lens, and the eyeball tracking module is used for acquiring eyeball watching information; the processor is used for determining zoom information according to eyeball watching information provided by the eyeball tracking module and controlling the zoom lens to zoom according to the zoom information; wherein the zoom information comprises the thickness and the curvature radius of the zoom lens.

The invention provides a processing method and system for reconstructing an LDI sub-pixel image through sparse compression and application, and the method comprises the steps: calculating a low-resolution to-be-exposed image corresponding to each phase structure in advance through a computer image compression algorithm; the low-resolution to-be-exposed images obtained through calculation are loaded to the digital micro-reflector according to the time sequence, and the display moment of each pattern is matched with the rotation position of the corresponding phase structure; coupling the pattern of the digital micro-mirror and the phase encoding mask in a frequency domain through a 4-f optical system, and reconstructing a high-resolution exposure pattern at a sub-pixel level by utilizing a diffraction effect; projecting a high-resolution light field of the reconstructed high-resolution exposure pattern to the surface of the photoresist, and forming a target circuit pattern by accumulating exposure dose; and the micro-nano structure with sub-pixel precision is obtained after development. The system comprises an image compression module, a pattern matching module and a pattern forming module. According to the invention, the manufacturing cost of the laser direct imaging equipment is reduced under the condition of the same precision.

The present disclosure is of an atmospheric characterization system that has a central processing board that has a first and a second communication interface. Further, the atmospheric characterization system further has a first precision temperature sensor that is communicatively coupled to the central processing board via the first communication interface and positioned a distance from a first side of the processing board, wherein the precision temperature measures a first temperature and transfers data indicative of the first temperature to the central processing board. In addition, the atmospheric characterization system has a second precision temperature sensor that is communicatively coupled to the central processing board via the second communication interface and positioned the distance from a second opposing side of the processing board such that the first precision temperature sensor and the second precision temperature sensor are equidistance from the processing board and a distance between the first precision sensor and the second precision sensor is a predetermined distance, r, and the second precision temperature sensor measures a second temperature and transfers data indicative of the second temperature to the central processing board simultaneously with the transferring of the first temperature. Additionally, the atmospheric characterization system has a processor that receives the first temperature and the second temperature and calculates a value indicative of atmospheric turbulence based upon the first temperature and the second temperature, wherein the value indicative of the atmospheric turbulence is used for designing, modifying, calibrating, or correcting an optical system.

The invention relates to the technical field of photoetching machine calibration, and discloses a photoetching machine calibration method, device and equipment based on multi-view vision, and the method comprises the following steps: carrying out imaging and phase sensitive detection analysis on a mask plane and a wafer plane through a four-path optical beam splitting system to obtain four groups of mask-wafer initial alignment position information; performing scanning white light interference edge enhancement processing to obtain three-dimensional surface contour data; performing wavelet transform processing on the three-dimensional surface contour data, and performing dynamic registration on the four-path optical beam splitting system to obtain multi-view visual feature registration data; a comprehensive error model including mechanical errors, optical errors and environmental errors is established, real-time correction and error compensation are carried out on a six-degree-of-freedom motion platform of the photoetching machine, a multi-view vision calibration result of the photoetching machine is obtained, the influence of environmental vibration and thermal drift on calibration precision is effectively eliminated, and the calibration accuracy of the photoetching machine is improved. The optical system is ensured to be always in the optimal imaging state, and the calibration precision is improved.

The invention relates to the technical field of medical image processing, in particular to a medical equipment optical system calibration method and system based on image processing, and the method comprises the following steps: capturing a calibration image in medical equipment, analyzing the boundary structure of an optical calibration grid, screening the pixel distribution characteristics of a segmentation boundary, and extracting the geometric description characteristics of the calibration image; and generating a geometric distortion distribution diagram. According to the invention, by capturing the calibration image and analyzing the boundary of the optical calibration grid, the geometric distortion area is accurately identified, the accuracy of the distortion compensation image is improved, the non-linear distortion is compensated in a partition manner, the image quality of each area is optimized, the continuity of the image boundary is improved, and the structural symmetry and curvature change area are optimized. The distortion of the detail area is restored, the edge details are smoothed, the image quality is improved, the amplitude distortion of the optical calibration grid is effectively controlled, the edge detail distortion is reduced, the image integrity and consistency are ensured, and the image precision and the reliability of an optical system are remarkably improved.

The invention relates to an aliasing image intelligent deformation small target identification algorithm based on detector multiplexing, and relates to the technical field of aliasing image target identification, and the algorithm comprises the steps: designing a detector multiplexing optical system; designing a view field coding element, and splicing the whole system; simulating and generating a motion track of the early warning target under the space-based background; the target motion trail is imaged through a detector multiplexing optical system; aliasing video simulation of moving target imaging is carried out; an intelligent deformation small target recognition algorithm is applied to the aliasing image, and a moving target is recognized; target resolution and field-of-view positioning are realized by using the relevance between the inter-frame track of the moving target and the light spot shape. According to the aliasing image intelligent deformation small target recognition algorithm based on detector multiplexing, light originally imaged on a large-area-array detector is folded and imaged on a small-area-array detector, and therefore the purpose that the small-area-array detector receives large-view-field imaging is achieved.

A pest control system is disclosed comprising an optical, computational, and monitoring subsystem, optionally mounted on a mobile platform. The optical system may include a neutralizing laser or multi-wavelength light source, discovery and detail cameras (optionally stereo), a beam-steering mechanism, tunable focus, and optional thermal or depth sensors. The processor, such as a GPU or FPGA, identifies insect or biological targets, adjusts laser focus by depth, and controls beam activation. A monitoring system verifies safety by detecting humans or other non-target entities using environmental and thermal cameras; if detected, laser firing is inhibited. The mobile platform may use wheels, propellers, tracks, or cables, with GPS and data links for remote control. A visible light pre-flash may induce a blink reflex before firing. In some embodiments, a scouting drone transmits target coordinates to the neutralization unit, enabling coordinated, efficient, and safe laser-based pest control.

The invention provides a transmitting-receiving coaxial laser radar optical system, and relates to the technical field of laser radars. The optical system comprises a transmitting assembly, a polarization splitting prism, a quarter-wave plate, a common beam expanding lens group, a micro-lens array, a common lens and a receiving assembly which are arranged in sequence. Laser emitted by the emitting assembly enters the polarization splitting prism, and at the moment, a light beam is linearly polarized light, can pass through the polarization splitting prism and then pass through the quarter-wave plate to reach the shared beam expanding lens group to be collimated and expanded, and finally is emitted for illumination through the micro-lens array and the shared lens; the emergent laser beam is irradiated to an object to return an optical signal, and the returned optical signal is returned to the polarization splitting prism along an original optical path and is reflected into the receiving assembly to be received and processed; according to the invention, the beam splitter prism, the beam expander group and the micro lens array are shared, and the shared lenses are the same and share the lens group, so that the purpose of saving the manufacturing cost of the laser radar is achieved; the method is suitable for automobile automatic driving, distance detection and the like.

The invention provides a diffractive optical element design and manufacturing integration method based on gray level laser direct writing photoetching, which comprises the following steps that: a manufacturing simulator and a wave optical simulator are established, and the manufacturing simulator represents the spatial frequency response of an optical system through a low-pass filtering model; a mapping relation between exposure dose and a developing result is established by combining nonlinear response of photoresist, and the wave optical simulator predicts optical performance by utilizing output of the manufacturing simulator and combining a wave optical theory; by setting initial manufacturing parameters and performing iterative optimization, the surface appearance of the photoresist is dynamically adjusted to be close to the target optical performance, the optimization process is combined with an automatic differential technology, a gradient optimization algorithm and a block optimization strategy, and the calculation efficiency is improved; and the optimized parameters are used for processing gray laser direct writing equipment to manufacture the diffractive optical element. The problem of manufacturing deviation caused by the optical proximity effect in the prior art can be solved, and meanwhile the overall performance of the diffraction optical element is remarkably improved.

The invention discloses a code reader distorted image correcting and decoding method and system based on machine vision. The method comprises the following steps: acquiring an original image containing a bar code through image acquisition equipment, preprocessing the original image, and extracting feature parameters; image distortion types including radial distortion and perspective distortion are judged according to the extracted features, and distortion correction is carried out by adopting a corresponding correction model; performing quality evaluation on the corrected image, and when a quality threshold value is met, repositioning a bar code area and performing decoding processing; the method can effectively solve the problem of image distortion caused by inherent defects of an optical system and a shooting angle in the bar code reading process, remarkably improves the accuracy and success rate of bar code recognition, and is suitable for bar code recognition application in the fields of industrial automation, logistics management and the like.

To provide an optical system capable of enhancing coupling of light from a light source to an optical fiber, particularly an optical system that can be incorporated into medical instruments such as endoscopes.SOLUTION: There is provided an optical system. The optical system comprises a lens including an input surface for receiving light from at least one light source and an output surface through which the light exits the lens, the lens further including a peripheral surface extending between the input surface and the output surface and configured to direct, via total internal reflection, at least a portion of the light incident thereon through the output surface to an output focal point. The optical system can further comprise a tapered light pipe optically coupled to the lens and a light guide (e.g., one or more optical fibers) that is optically coupled to the tapered light pipe. The lens directs the received light to an output focal point that is disposed within the tapered light pipe.SELECTED DRAWING: Figure 3A

The invention belongs to the technical field of retina imaging and fundus three-dimensional reconstruction, and particularly relates to a color three-dimensional fundus imager optical system. Comprising a large eye objective lens, a dichroscope, a hollow reflector, a focusing lens, a spectroscope, a retina lens, a retina imaging chip, a fixation lens, a sighting mark lamp, an illumination lens, an annular light source, a pupil lens, a pupil imaging chip, an infrared lens, an infrared dodging lens, an infrared light source, a scanning lens, a three-dimensional galvanometer, a collimator, a coupler, a frequency sweeping light source and a dispersion compensator. A polarization controller, a coupler and a photoelectric detector. The system is mainly composed of a visible light imaging light path, an infrared imaging light path and a laser imaging light path, the visible light imaging light path is used for shooting color fundus two-dimensional images, the infrared imaging light path is used for real-time positioning and focusing of human eye pupils, and the laser imaging light path is used for three-dimensional tomography of retinas. The objective of the invention is to solve the problem that existing medical equipment cannot acquire fundus color three-dimensional images.

The invention relates to the technical field of computer vision, and discloses a high-speed human motion trail motion mode recognition system. Through multi-modal sensor fusion and an adaptive space-time attention network (ASTAN), the problems that a traditional optical system depends on mark points and IMU accumulative errors exist are effectively solved, and the high-speed movement track reconstruction precision and the environmental adaptability are remarkably improved; self-supervised data enhancement and dynamic model compression technologies are combined, so that the dependence on labeled data is greatly reduced, lightweight edge deployment is realized, and the real-time requirement is met; the system can synchronously output multi-mode feedback instructions, supports multi-scene application such as sports action correction, medical rehabilitation evaluation, security and protection anomaly detection and man-machine interaction control, and solves the core pain points of insufficient precision, real-time performance, robustness and generalization ability in the prior art. And an efficient, reliable and low-cost comprehensive solution is provided for high-speed motion analysis.

The invention relates to the technical field of ophthalmology optics, in particular to a myopia control lens optical system integrating ray tracing and aberration correction, which comprises a wavefront phase acquisition module, a wavefront feature statistics module, a ray tracing simulation module, a microstructure form regulation and control module and a feedback control module. According to the method, accurate identification and datamation description of wavefront change under a dynamic vision condition can be realized by acquiring an eyeball wavefront phase matrix, performing gridding partition analysis and extracting local phase offset amplitude and time sequence characteristics, and a light propagation path model is constructed by combining statistical characteristics of an abnormal wavefront region; the self-adaptive compensation is carried out on the local focus deviation, and the spatial distribution optimization of the refractive index and the curvature is further realized based on the microstructure form regulation and control, so that the real-time matching of the optical parameters and the wavefront state is maintained during the processing and use of the lens, and therefore, the imaging quality is stabilized, the visual definition is improved, and the myopia control reliability is enhanced.

An optical system includes an optical module with a main axis is provided. The optical module includes a fixed portion, a movable portion, a driving mechanism, and a supporting assembly. The movable portion is connected to an optical element and is movable relative to the fixed portion. The driving mechanism drives the movable portion to move relative to the fixed portion. The supporting assembly is connected to the movable portion and the fixed portion. When viewed along a direction that is parallel with the main axis, the fixing portion is a polygonal structure with a first side, a second side, a third side, and a fourth side. The first side is parallel with the third side, the second side is parallel with the fourth side, and the first side is not parallel with the second side.

The invention relates to the technical field of image fusion, and discloses a sparse aperture optical system polarization image fusion method based on deep learning, and the method comprises the steps: obtaining a linear polarization degree image, a polarization angle image, and a polarization intensity image through a sparse aperture optical system, and constructing a polarization image fusion model comprising an encoder, a multi-mode fusion module, and a decoder; the encoder comprises two branches for respectively extracting three polarization image features, the multi-modal fusion module comprises an edge gradient compensation module for extracting multi-stage edge features, a polarization attention mechanism for adaptively weighting fusion features and a residual aggregation module for reserving original features, and the decoder uses multi-core deconvolution to decode aggregation features; and constructing a loss function and training a model in combination with the characteristics of the polarization images, and inputting the three polarization images to be fused into the trained model to obtain a polarization fusion image. According to the invention, effective fusion of polarization imaging and sparse aperture imaging can be realized, noise can be effectively suppressed, and the contrast and resolution of imaging can be improved.

The invention discloses an optical lens force-position collaborative adjustment method based on a neural network, and relates to the technical field of reflective optical lens assembly, and the method comprises the steps: building a reflective optical system lens model, carrying out the circulation simulation, and outputting a lens simulation result; sorting lens simulation results, constructing an assembly force-assembly error data set, constructing an assembly error prediction model, and training and storing the assembly force-assembly error data set to obtain a target assembly error prediction model; detecting the Zernike coefficient of the current lens, calculating to obtain the target misalignment amount of the lens, and taking the assembly force combination applied by the current lens as the input of the target neural network model to obtain the assembly pose error of the current lens; and compensating the assembly pose error on the basis of the target misalignment amount to obtain an actual adjustment amount, and completing the force-position cooperative control of the reflective optical system. According to the invention, the automation degree of the installation and adjustment process is improved and the lens installation and adjustment precision is improved by adopting the optical lens force-position collaborative installation and adjustment method based on the neural network.

The invention discloses a hot air type qPCR instrument, a multi-channel detection optical system and a detection method, and relates to the field of molecular biological detection. The problems that an optical detection system adopted by an existing qPCR instrument mostly depends on a single-channel or double-channel design, sample hole sites need to be switched one by one and detected in a time-sharing mode in the detection process, namely, the efficiency is low in the face of a high-throughput requirement scene are solved, and the system combines multiple LED light sources with an optical filter to generate excitation wavelengths to form a light source module; after the multi-stage dichroscope is utilized to form a light combination module, the light combination module is transmitted to a reaction hole through one branch of the forked optical fiber to excite fluorescent substances, a fluorescent signal is collected through a common end of the forked optical fiber, the other branch of the forked optical fiber outputs a fluorescent signal, and the fluorescent signal is split by the reflection grating to form a light splitting module. And the array CMOS is combined with a spectrum unmixing algorithm to form a detection module for synchronous receiving, so that multi-channel simultaneous high-sensitivity detection is realized. The method is also suitable for the field of multi-pathogen detection and gene expression analysis.

The present invention concerns an optical system intended to be held by a frame and worn by a wearer, the optical system comprising a lens, the lens further comprising a metasurface formed by at least a set of nanostructures, at least the lens and the metasurface being designed to achieve an optical system transmission target optical function and an optical system reflective target optical function.

The invention discloses a design method of an optical system, and the method comprises the steps: obtaining first recognition information and first feature information, the first recognition information is obtained through the feature recognition of a tested object by the optical system, and the first feature information represents the actual feature of the same tested object; determining a loss value based on the first identification information and the first feature information; updating the design of the processor based on the loss value, or updating the design of the optical component based on the loss value and the relation function, or updating the design of the optical component and the design of the processor based on the loss value and the relation function until the loss value meets a preset numerical value condition, and obtaining design information of the optical system; the relation function represents the relation between the output of the optical component and the design information of the optical component. According to the design method provided by the invention, the recognition accuracy of the optical system can be ensured, and the designed optical system can obtain a multi-dimensional feature recognition result.

The invention discloses an optical imaging and coding hole technology fused optical imaging system and method, and aims to integrate scattered polarization components in a reflected light signal into coding light field data with clear layers by constructing a polarization coding modulation system, so as to highlight a coupling relationship among optical elements. A refocusing sequence and a focal plane chromatography technology are adopted, spatial geometric information and light intensity distribution characteristics of different depth layers are fully excavated, and a three-dimensional distribution rule of surface topography is disclosed; wavefront correction and deformable mirror control technologies are introduced, imaging parameters of an optical system are adjusted in a self-adaptive mode, and the application range of measurement precision is expanded; light intensity modulation analysis and phase unwrapping window processing are combined, the change trend of the surface curvature is depicted, and key feature points of morphology measurement are grasped; finally, multi-dimensional and multi-level optical measurement information is fused, three-dimensional measurement output with rich content and reliable precision is formed, and comprehensive and high-quality measurement technology resources can be provided for application scenes such as precision optical detection and surface quality evaluation.

The invention relates to the technical field of intelligent precision calibration of optical instruments, in particular to a primary and secondary mirror calibration method based on a neural network algorithm, which comprises the following steps: step 1, synchronously acquiring multi-physics field coupling data of primary and secondary mirrors; step 2, constructing a dual-mode neural network model, wherein the dual-mode neural network model comprises a first model and a second model; 3, kinematics feasibility verification and dynamic optimization are carried out on the initial prediction value, specifically, a Lie group space parameterization method is adopted to avoid a rotation freedom degree singular point, and a platform reachable working space is adjusted through Jacobian matrix verification; and 4, driving a secondary mirror adjustment platform based on the optimized adjustment parameters, and triggering online incremental learning of the neural network model according to the actual wavefront residual error. Through innovative application of the neural network algorithm, multiple technical problems of a traditional optical system calibration method in an extreme environment and a high-frequency dynamic condition are solved, and the calibration precision, the real-time performance and the efficiency are improved through self-learning and self-adaptive capabilities.

The invention relates to the technical field of optical elements, and discloses a fog display point diffusion optical system and a preparation method thereof, and the preparation method comprises the steps: obtaining user visual parameters, and building a visual behavior probability density model through kernel density estimation; designing the front surface of the lens based on the model, and generating an asymmetric defocus system coupled with a gazing habit; the rear surface of the lens is designed, and the distribution density of a fog display point diffusion unit is cooperatively modulated by the front surface defocusing amount, the fixation probability and the pupil diameter; and finally integrating front and rear surface design to form an optical lens body. According to the method, the asymmetric defocus field on the front surface and the fog display point diffusion field on the rear surface are subjected to collaborative design, and the defocus intensity and the contrast modulation intensity are accurately applied to the effective retina area of the user through the visual behavior probability density model; the technical problem that a traditional out-of-focus lens is fixed in signal and cannot adapt to individual staring habits and physiological parameter changes is solved.

The invention discloses an adaptive optical system non-common-path aberration correction method based on a neural network. The adaptive optical system non-common-path aberration correction method comprises the following steps: constructing a lightweight neural network CP-Net; simulating and generating a perfect point spread function image; generating a deformable mirror control voltage matrix based on the image; taking the voltage matrix as the input of CP-Net for training, and ending the training when the loss function value is smaller than a preset minimum value; the trained CP-Net is connected to an actual control loop, real-time images acquired by a scientific camera are received, and perfect reference voltage is generated and directly used for controlling and changing the mirror surface type of the deformable mirror. According to the method, the deformable mirror control command can be directly generated, aberration does not need to be measured, real-time automatic adjustment can be achieved, compared with a traditional phase diversity method and a stochastic gradient descent algorithm, the operation difficulty can be greatly lowered, the correction time can be greatly shortened, and an operator does not need to manually adjust related parameters in the correction process.

The invention relates to the field of optical system imaging, in particular to an optical system imaging quality prediction model construction method giving consideration to surface shape errors and pose errors, which adopts a Zernike polynomial to perform accurate fitting on mirror surface shape errors caused by bolt pre-tightening force, and adopts a finite element mode to perform simulation on an optical system bolt tightening process. According to the method, Zernike polynomial fitting is taken as a basic parameter, various mirror surface shape errors and assembly pose deviations are fully considered when Zemax is adopted to carry out optical path imaging simulation, and the energy concentration degree is taken as an imaging quality quantitative evaluation index, so that the optical path imaging simulation of the two-mirror optical system is realized. According to the method, an SVR proxy model containing local and global mixed kernel functions is established, sensitivity analysis is performed on mirror surface shape and assembly pose parameters, an assembly data set is obtained through assembly and imaging joint simulation, and the model is trained to obtain an imaging quality prediction model so as to realize rapid and accurate prediction of imaging quality.

The invention relates to the technical field of optical system detection devices, in particular to a large-aperture standard reflector adjusting device, which specifically comprises a bottom plate, an orientation rotating device, a pitching rotating device and a reflector fixing device, and is characterized in that the orientation rotating device is arranged above the bottom plate; the pitching rotating device is arranged above the azimuth rotating device; the reflector fixing device is connected to the pitching rotating device, so that the azimuth rotating device can adjust the azimuth angle of the reflector fixing device, and the pitching rotating device can adjust the pitching angle of the reflector fixing device; wherein the azimuth rotating device and the pitching rotating device have a self-locking function. Therefore, under the condition that the surface type precision of the mirror surface of the standard reflecting mirror is ensured, the standard reflecting mirror can be precisely adjusted at a large angle in the azimuth angle and the pitching angle, and the detection requirement of an optical system is met.

The invention discloses a laser energy threshold millisecond-level dynamic matching method for multi-metal fuse manufacturing, and the method comprises the steps: pre-storing a multi-metal thermophysical parameter model, calibrating a thermal signal in real time through Kalman filtering, and carrying out the online correction of a melting threshold key parameter during the switching of a material; millisecond-level thermal feedback closed-loop control is achieved through the high-frame-rate thermal imaging technology, and the laser power accurately follows the corrected melting threshold value; meanwhile, a three-dimensional imaging and deep learning segmentation algorithm is adopted, geometric information of a welding wire and a molten pool is obtained, the position and the diameter of a light spot are adjusted in real time through an adjustable optical system after the offset is calculated, and millimeter-level space registration closed-loop control is achieved; the two closed-loop systems cooperatively operate according to respective control periods, and precise dynamic matching of laser heat input in a time domain and a space domain is achieved. The problem that the adaptability of a traditional process is insufficient during multi-metal switching and complex geometric change is solved, and the forming quality, the process stability and the efficiency of manufacturing are remarkably improved.

The invention relates to the technical field of vehicle lamp systems, in particular to an intelligent vehicle lamp system based on DLP projection, a control method and a vehicle. The intelligent vehicle lamp system based on DLP projection comprises an optical system, an intelligent control system, an execution module and a power management system, the system collects environment data in real time through a sensor, a central processing unit fuses multi-source information and generates a control instruction through an AI algorithm, and the light source brightness, the irradiation angle and the road surface projection content are dynamically adjusted; meanwhile, voice interaction and remote control are supported, and the self-adaptive lighting and safety warning functions are achieved. Through the intelligent control and DLP projection technology, the vehicle lamp performance is improved, the lighting effect is optimized, and the night driving safety is enhanced; self-adaptive adjustment is realized, and the driving experience is improved; the energy consumption is reduced by more than 30%; the battery life is prolonged; v2X communication is supported, and intelligent early warning is realized; a voice control function is provided, and operation is more convenient and safer; a road surface projection function is added, navigation arrows and warning marks can be displayed, and visual driving assistance is provided.