9670 results about "Optic system" patented technology

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 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 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 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.

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 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 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.

The invention relates to the technical field of underwater communication and positioning, in particular to a multi-mode underwater wireless communication system based on dynamic link calibration, which integrates underwater acoustic positioning guide, attitude adaptive tracking control, optical link enhancement and an error code correction mechanism. Comprising a central control core, an acoustic communication unit, an optical communication transmitting unit, an optical signal receiving unit, an optical control unit, a multi-axis attitude adjusting unit, a data fusion and verification processing unit and a high-speed modulation-demodulation and error code correction unit. And by using a double-shaft servo motor and automatic gain control, real-time target tracking and accurate alignment of optical signals are realized, FPGA and OFDM modulation are combined to optimize data throughput, and a data cross validation mechanism is introduced to correct error codes, so that the data integrity is improved.

The invention discloses an optical system multi-objective optimization method based on computer vision, and relates to the technical field of intelligent optics, and the method comprises the steps: collecting initial design parameters and an installation and adjustment tolerance range of an optical device, and obtaining an initial design vector set; based on the initial design vector set, performing simulation and image processing under different working conditions, extracting image quality and image features, and obtaining same-domain features; constructing a multi-target agent model fusing optical indexes and task performance indexes through same-domain features; obtaining a target function interface according to the multi-target agent model; on the basis of the target function interface, global optimization and local refinement are adopted to obtain a candidate optimal solution set; and through the candidate optimal solution set, re-evaluation is carried out in uncertainty evaluation and robustness screening, and a final nominal solution is obtained. According to the method, the multi-target agent model fusing the optical indexes and the task performance indexes is constructed, and prediction, constraint evaluation and risk sensitivity scoring are performed on the candidate design vectors, so that joint optimization of the optical performance and the task performance is realized.

An optical system is provided and includes a fixed assembly, a movable element, a movable assembly, and a driving module. The fixed assembly defines a main axis, and the fixed assembly has a casing on which a casing opening is formed, corresponding to the main axis. The movable element is movable relative to the fixed assembly and is connected to a first optical element. The movable assembly is connected to the movable element. The driving module is configured to drive the movable assembly so as to drive the movable element to move relative to the fixed assembly. The first optical element has a first section and a second section. When viewed along the main axis, the size of the first section is larger than the size of the casing opening, and the size of the second section is smaller than the size of the casing opening.

The invention provides a method for adjusting the light intensity uniformity of an optical system, the optical system comprises an optical module and an LCD screen, the LCD screen comprises a plurality of target areas, each target area is associated with at least one light-emitting assembly of the optical module, and the method comprises the following steps: through the light-emitting assemblies of the optical module, adjusting the light intensity uniformity of the optical system, at least radiating light to a first target area and a second target area in a plurality of target areas of the LCD screen; determining the light intensity distribution of the light passing through the first target area and the second target area, and based on the difference of the light intensity distribution, performing at least one of the following: adjusting the driving current or PWM of the light-emitting component associated with the first target area; adjusting a driving current or PWM of a light emitting component associated with the second target area; providing or adjusting a mask associated with the first target area; or providing or adjusting a mask associated with the second target area.

A control device (100) for controlling a number N, with N ≥ 1, of actuators (200) for actuating N optical elements of an optical system, comprising a control node (K2) coupling to the actuator (200) for providing a control voltage (V2) for the actuator (200), an amplifier (110) configured to receive a supply voltage (V1) provided at an input node (K1) and to provide an output voltage (V3) at an output node (K3), wherein the amplifier (110) comprises a plurality M, with M ≥ 2, of current sources (111, 112) comprising at least one charge-controlled current source (112) and a holding capacitor (113) for maintaining the level of the provided output voltage (V3), and a buffer coupled between the output node (K3) and the control node (K2). (120), which is designed to,to decouple the control node (K2) from the output node (K3) and to provide the control voltage (V2) for the actuator (200) based on the level of the output voltage (V3) of the holding capacitor (113).

The invention provides an optical system, a control method, a vehicle optical signal device, a vehicle lamp and a vehicle, the optical system comprises at least one first light source assembly and a second light source assembly, and light emitted by the first light source assembly passes through an optical assembly and is emitted from a first light emitting area of a light emitting surface of the optical assembly; light emitted by the second light source assembly passes through the optical assembly and is emitted from a second light-emitting area of the light-emitting surface of the optical assembly, and at least partial area overlapping exists between the first light-emitting area and the second light-emitting area; wherein light emitted by the first light emitting area serves as a first light function, light emitted by the second light emitting area serves as a second light function, the first light function serves as a marker lamp of the driving automation system, and the second light function serves as other light functions with colors different from those of the first light function. Therefore, the structure and function multiplexing of the automatic system marker lamp and other signal lamps is realized, the cost of independently designing and manufacturing the automatic system marker lamp is effectively reduced, and the occupied space of the whole vehicle lamp is effectively reduced.

The invention discloses an optical-mechanical-thermal integration analysis method for a space low-temperature infrared camera, which belongs to the technical field of space optical remote sensing and comprises the following steps of: when a low-temperature infrared optical system is designed, firstly, performing structural modeling on parameters of the infrared low-temperature optical system in a normal-temperature state, and establishing a corresponding structural and thermal control analysis finite element model based on a structural model; a thermal control analysis temperature field is used as structural finite element analysis input, and structural simulation analysis is performed on changes of the mirror surface precision and the mirror surface position of the optical system; processing the precision and position change data into a format which can be identified by low-temperature optical system design software, and importing the data into the optical design software; the optical performance of the low-temperature optical system at low temperature is evaluated through optical design software, the stability of interior orientation elements is evaluated, and the reliability of the low-temperature optical system is improved; the low-temperature optical system provides guidance from normal-temperature adjustment test to low-temperature use; the problem that the performance of a low-temperature infrared optical system is difficult to evaluate and predict under large thermal deformation is solved.

The utility model discloses a three-color micro-projection optical system, the three-color micro-projection optical system is provided with an object side and an image side which are correspondingly arranged along an optical axis direction, the three-color micro-projection optical system comprises a diaphragm, a lens group and a color combination prism assembly which are sequentially arranged from the object side to the image side; the color combination prism assembly comprises a color combination prism, a red light-emitting chip, a green light-emitting chip and a blue light-emitting chip; the focal length of the three-color micro projection optical system is f, 5.9 mlt; flt; the thickness is 6.4 mm; the distance from the diaphragm to the image surface is the total optical length TTL and TTLlt of the three-color micro-projection optical system; and the thickness is 10.2 mm. By means of the arrangement, in the environment temperature range of 20-60 DEG C, the optical system does not defocus during working, the MTF full frequency is higher than 0.5, the total length of the optical system can be controlled within 10.2 mm, and the working performance is more stable.

An image pickup apparatus includes an image sensor having a plurality of pixels configured to receive light beams passing through a plurality of different pupil partial areas in an imaging optical system including a first optical system and a second optical system arranged in parallel with the first optical system, and a processor configured to acquire, based on a pair of signals from the plurality of pixels, a first defocus amount in a first focus detecting area at a first image height based on a first optical axis of the first optical system and a second defocus amount in a second focus detecting area at a second image height based on a second optical axis of the second optical system, and control the imaging optical system based on an average defocus amount of the first defocus amount and the second defocus amount.

The invention discloses an optical imaging system tolerance correction method and device based on a neural network, and the method comprises the steps: building an optical imaging system degradation model under an assembly tolerance condition on the basis of considering a plurality of assembly working conditions; the optical imaging system degradation model is used for simulating the spatial change degradation process of the optical system under different assembly working conditions and generating a data set, each sample is an image pair composed of a clear image and a degraded image of a target, and the degraded image is marked with a working condition label; building a neural network model comprising a working condition estimation module and an image restoration module; and training the neural network model based on the data set and a preset loss function to obtain a trained working condition estimation-image restoration model which is used for restoring a clear image from the degraded image to be detected. The problem of imaging quality nonlinear degradation caused by eccentricity and inclination of the optical element in the assembling process is solved from the imaging end, the influence of assembling tolerance can be restrained, and the imaging quality is effectively improved.

The invention belongs to the technical field of atmospheric environment monitoring, and particularly relates to an unmanned aerial vehicle laser radar calibration quality control system and method, and the system comprises an unmanned aerial vehicle flight platform, a laser radar module, a navigation positioning module, a control communication module, a data processing module and a ground station. The unmanned aerial vehicle flying platform comprises a shockproof holder and a protective pod; the laser radar module comprises a laser radar, a scanner module and a photoelectric detector module. According to the invention, one unmanned aerial vehicle is adopted to carry various different types of laser radars, the extinction coefficient is measured by combining optical beam splitting, signal processing and algorithm inversion technologies, and atmospheric particulate classification is effectively monitored through cooperation of a high-precision optical system and an algorithm; the extinction coefficient and the depolarization ratio work cooperatively, high-precision quantitative analysis and classification of pollutants can be achieved, the combined measurement function of the extinction coefficient and the depolarization ratio is achieved, and high-resolution three-dimensional monitoring of atmospheric particulates is achieved through multi-parameter cooperative inversion of the laser radar.

The invention provides an optical element surface type simulation method based on a physical information neural network, and relates to the technical field of element design and simulation, and the method comprises the steps: constructing a feedforward neural network; generating a deformation control equation model library; constructing a three-dimensional simulation database; forming a machine learning parameter library; training the PINN deformation simulation model in combination with a deformation control equation model library, a three-dimensional simulation database and a machine learning parameter library, and screening out a target PINN deformation simulation model meeting a preset condition; inputting the design parameters, the support structure parameters and the given external load parameters of different combinations into the target PINN model to obtain a key performance prediction result of the optical element; according to the method, the key performance of the element under various parameter combinations can be rapidly evaluated, the design iteration period is shortened, the trial and error cost is reduced, direct data support is provided for supporting structure optimization design, and the bottleneck problem that a traditional method restricts the research and development efficiency of a high-precision optical system is effectively solved.

An additive manufacturing method based on micro-selective laser melting technology. By using a spot size of 30 μm or less, a metal powder layer thickness of 10 μm or less and ultrafine metal powders having a D90 particle size of 30 μm or less, and in combination with the control of a scanning laser power, a scanning rate, a linear energy density and a volumetric energy density within specific ranges, the method can print complex-structured metal parts having extremely high resolutions and surface smoothness, and can obtain a high-density internal structure of a component even under a relatively low energy density or power condition, thereby effectively protecting an optical system. Moreover, a printed component exhibits a defect-free microstructure, and has excellent electrical properties, thermal properties and mechanical properties. Particularly, ultrafine grains and a high dislocation density provide superior mechanical properties compared to conventional manufacturing materials. An infrared laser device can be used, thereby achieving low costs.