648 results about "Dot matrix" patented technology

The invention provides a high-precision dot matrix density cosmetic contact lens development method and system, a medium and a product, and relates to the technical field of cosmetic contact lens production, and the method comprises the steps: obtaining multi-mode fashion data through a crawler technology, and extracting a trend language intention vector from the multi-mode fashion data; based on a pre-trained neural network model, mapping the trend language intention vector into a microscopic physical parameter for defining a cosmetic contact lens pattern to obtain an initial dot matrix parameter set; performing graphical rendering on the initial dot matrix parameter set to obtain a plurality of initial cosmetic pupil dot matrix patterns; simulating the wearing effect of each initial cosmetic contact lens dot matrix pattern on the three-dimensional human eye model through simulation software to obtain a plurality of virtual wearing effect pictures; and determining the initial cosmetic contact lens dot matrix pattern of which the aesthetic evaluation score is greater than a preset score threshold as a final cosmetic contact lens dot matrix pattern. By implementing the method, the limitation of a traditional design element library can be broken, the generation of the cosmetic contact lens pattern is more innovative and diversified, and the innovativeness and the popular integrating degree of the cosmetic contact lens pattern are improved.

The invention provides a thermal imaging automatic calibration and key region segmentation method. The method comprises the steps of obtaining a thermal imaging image, and then performing preliminary denoising processing on the image to obtain a denoised image; constructing a high-density grid in an image pixel dot matrix by adopting a dense sampling method according to the de-noised image so as to determine an initial pixel coordinate of each grid point; obtaining neighborhood feature vectors through an abnormal point set, and grouping the vectors by adopting K-means clustering so as to determine a temperature change mode, and fusing a temperature gradient to extract a boundary extraction basis as grid optimization input; and extracting a boundary extraction basis of the key part from the temperature change mode, adjusting the high-density grid according to the boundary extraction basis to obtain an optimized grid, and starting relocation iteration adjustment through coordinate deviation calculation. According to the method, a closed-loop optimization process of high-density grid construction, abnormal point identification, clustering analysis, grid dynamic optimization and iterative relocation is constructed, so that refinement and adaptive segmentation of a thermal anomaly region are realized.

The invention discloses a method, device and medium for converting an image animation into an unmanned aerial vehicle group dance step air route, and belongs to the field of unmanned aerial vehicle cluster control, and the method comprises the steps: 1, obtaining an original video corresponding to an image animation to be displayed of an unmanned aerial vehicle group; 2, performing frame insertion processing on the original video to obtain a smooth video; 3, preprocessing the obtained video, and mapping discrete points in each frame of two-dimensional image in the video into a three-dimensional space coordinate system to form a dot matrix distribution diagram of the unmanned aerial vehicle group; and step 4, for the dot matrix distribution diagrams of two adjacent frames of unmanned aerial vehicle groups, solving positions and moving paths of each unmanned aerial vehicle in the dot matrix distribution diagram of the previous frame of unmanned aerial vehicle group and the corresponding unmanned aerial vehicle in the dot matrix distribution diagram of the next frame of unmanned aerial vehicle group through a nearest neighbor matching algorithm in combination with a linear distribution algorithm. And taking the obtained position and moving path of each unmanned aerial vehicle as the dance step air route of the unmanned aerial vehicle group. According to the method, the image animation can be efficiently and accurately converted into the dance step air route of the unmanned aerial vehicle group.

The invention discloses a partition dot matrix filling air rudder lightweight design method. The method mainly comprises three parts of establishment of a dot matrix unit cell equivalent mechanical performance proxy model, topological optimization design of an air rudder structure and optimization design of dot matrix filling parameters. Comparing compression tests of different rod diameters with simulation results of variable cross-section beam units with different parameters, and searching optimal beam unit cross-section parameters to construct and calculate a lattice unit cell equivalent mechanical performance agent model; structure topological optimization design is carried out on the determined air rudder appearance and load conditions, dot matrix filling area division is carried out on a design area according to a topological optimization result, and the design area can be divided into areas with different filling densities according to design requirements; and establishing a parameterized finite element model for the dot matrix filling structure and the air rudder model, and performing optimization design on rod diameters of different partitions on the basis to obtain a final dot matrix filling design model.

This invention discloses a robotic grinding auxiliary device with a follow-up lattice circulation mechanism for thin-walled parts, comprising: a grinding robot mechanism, a thin-walled part, and a follow-up lattice magnetorheological support mechanism. The follow-up lattice magnetorheological support mechanism is positioned directly in front of the grinding robot mechanism. A left positioner and a right positioner are located on either side of the follow-up lattice magnetorheological support mechanism. The left and right positioners are configured to clamp the thin-walled part from both sides, allowing the thin-walled part to be synchronously moved with the left and right positioners. The thin-walled part is positioned vertically above the follow-up lattice magnetorheological support mechanism, and the working end of the grinding robot mechanism is positioned above the thin-walled part. This invention effectively counteracts the cutting force applied by the grinding robot by providing active and adaptive support from below, greatly suppressing workpiece vibration and deformation, and ensuring machining accuracy and surface quality.

The invention relates to the technical field of textile materials, and particularly discloses a fabric capable of improving thermal protection performance and a preparation method and application of the fabric. Nano-scale aluminum oxide; polyethylene glycol diacrylate; a closed type waterborne polyurethane emulsion; a silane coupling agent containing a vinyl group; a photochromic dye; a thermochromic dye; the preparation method comprises the following steps: S1, preparing composite slurry; s2, applying the composite slurry to the surface of a fabric base material in a dot matrix form by adopting a screen printing process to form a coating; s3, the coating is irradiated with ultraviolet light; and S4, carrying out baking treatment on the fabric subjected to the ultraviolet light curing treatment at the temperature of 140-160 DEG C. According to the invention, the polyethylene glycol diacrylate, the closed waterborne polyurethane and the vinyl-containing silane coupling agent are adopted to form an interpenetrating polymer network structure in situ, so that when the obtained fabric is rubbed or washed and the like, the coating is not easy to crack and peel off.

The invention provides an anti-counterfeiting traceability system and method based on a Braille dot matrix code, and the method comprises the steps: associating the multi-dimensional information of a whole life cycle of a product with the Braille dot matrix code through constructing a Braille dot matrix code generation rule of a fusion encryption algorithm and an error correction mechanism; storing the associated braille dot matrix code and product information to a block chain node to form a non-tampering traceability data chain; during verification, braille dot matrix codes are analyzed through visual scanning or tactile recognition, product information is extracted and subjected to consistency verification with hash values stored in the block chain, and tactile feedback interaction is provided for visually impaired users; and finally, anti-counterfeiting verification and full-process traceability of the product are realized, the use requirements of common users and visually impaired users are considered, and the problems that the existing anti-counterfeiting technology is easy to copy, the traceability data are unreliable and the traceability data are not friendly to visually impaired groups are solved.

The system provided herein may include an ablutionary fitting (e.g., sink, faucet, toilet) and a holographic user interface module. The module may be used to control operation of the ablutionary fitting. The module may include a printed circuit board assembly (PCBA), a display screen (e.g., a liquid crystal display (LCD), projection, dot matrix, light-emitting diode (LED), etc.) coupled to the PCBA, a holographic 3D plate, and an infrared touch bar. When light emits from the display screen, the light may be directed toward the holographic 3D plate, and the holographic 3D plate may transform the light into a screen image. The infrared touch bar may analyze activation of the screen image by a user and control the ablutionary fitting based on the activation of the screen image.

The invention relates to the technical field of liquid crystal display, and discloses a liquid crystal module character display method, which comprises the following steps of: performing stroke decomposition and topological relation establishment on Chinese characters in a target character set to generate a character stroke data set; performing two-dimensional character topological mapping and compressed encoding on the to-be-displayed characters to form compressed character description data; executing hierarchical rendering and stroke synthesis in a character reconstruction engine to generate a target character dot matrix; pixel array electric field distribution optimization is carried out, and sub-pixel-level precision character edge display data are obtained by controlling the driving voltage gradient; performing electric field compensation based on the character edge display data with sub-pixel-level precision to form character display data with enhanced edge sharpness; stroke self-adaptive anti-aliasing processing is carried out on the character display data with enhanced edge sharpness, clear Chinese character display data is output, the visual smoothness of character edges in a small-size display environment is optimized, and the overall recognition degree of characters is improved.

The invention discloses an intelligent human body modeling method and system based on a three-dimensional dot matrix, and relates to the field of intelligent modeling, and the method comprises the steps: carrying out the structural analysis of the semantic level of an original three-dimensional point cloud, and predicting a space displacement field pointing from the surface of observed clothes to the surface of an internal real human body under the semantic guidance. By applying the displacement field, double transformation of point cloud stripping and standardization is carried out on the point cloud, so that repeated fine tuning and optimization are carried out on the body type and posture parameters of the human body model in a standardized space, and finally a high-fidelity human body three-dimensional model is generated through driving. In this way, the complex clothes interference problem is deconstructed into a staged geometric mapping and parameter optimization process, and therefore the robustness and accuracy of human body three-dimensional reconstruction under the real wearing condition are effectively improved.

The invention discloses a two-color printing method based on a thermal printer. The two-color printing method comprises the steps that a two-color printing mode is started; performing color configuration on different types of to-be-printed information, and respectively setting the to-be-printed information as a first color and a second color; converting the character data to be printed into dot matrix data; according to the color configuration, converting the dot matrix data into double-color printing dot matrix data according to a double-color printing data encoding format; the control chip of the thermal printer separates second color printing data from the two-color printing dot matrix data, and respectively restores all the two-color printing dot matrix data and the second color printing data into 1-bit single-color printing dot matrix data; calculating the first color heating time and the second color heating time of the double-color thermo-sensitive paper according to the restored double-color printing dot matrix data and the second color printing data; and according to the first color heating time and the second color heating time, the printing head is controlled to heat the two-color thermo-sensitive paper in a time-sharing mode, and two-color printing is achieved. The printing information identification degree can be improved.

The invention discloses a machine learning prediction method for mechanical properties of a metal dot matrix, and belongs to the technical field of metal materials. The method comprises the following steps: S1, finite element modeling and simulation testing; s2, data collection and preprocessing; s3, performing feature analysis; s4, training and evaluating a machine learning model; s5, carrying out interpretability analysis; and S6, performing performance prediction. According to the machine learning prediction method for the mechanical properties of the metal dot matrix, the research and development cost of the mechanical properties of the metal three-dimensional dot matrix is greatly reduced, the research and development efficiency is improved, the prediction precision is high, the blank of special configuration performance prediction is filled, the influence of parameters on the performance can be clarified, and a reliable basis is provided for structural optimization.

The invention relates to the technical field of data analysis, in particular to a land resource management data analysis method and system based on cloud computing, and the method comprises the following steps: obtaining a difference time node plot number and a purpose field, recognizing a number evolution chain and establishing mapping, extracting a land class sequence to generate a stability label, analyzing the spatial continuity to construct an attribution path, and analyzing the attribution path. And indexing a utilization rate fluctuation trend paragraph, and identifying a purpose fusion direction to generate a fusion layer set. According to the method, through joint comparison of a serial number structure, coordinate overlapping and a purpose field, a stable land class transition chain is established, it is ensured that land class time sequence features are effectively described, the contiguous direction of a space dot matrix and the consistency of land class affiliation are combined, splicing of the space affiliation relation between land parcels is achieved on the regional level, and the splicing efficiency of the space affiliation relation between land parcels is improved. The identification precision and the spatial expression definition of the land type change are improved, and the spatial analysis capability of the land type change trend and the dynamic perception capability of the land utilization efficiency are effectively enhanced.

The invention relates to a coding and decoding method and a dual-mode coding and decoding method based on a Hash-fractal image chain, and the method comprises the steps: segmenting a text into blocks according to a set number of characters when the length of the text is greater than a threshold value, and generating a Hash value chain for each block through SHA-256; intercepting the first 16 bytes of the hash value of each block to generate a hippeastrum set image, then generating a binary fractal image, embedding metadata dot matrixes into four corners of the fractal image, and storing the metadata dot matrixes in sequence; traversing the target folder, obtaining all PNG images, and sorting the PNG images according to file name indexes; for each image, extracting metadata areas in sequence and decoding the metadata areas, firstly verifying fractal dimension errors of the image to ensure that a carrier is complete, then checking the consistency of each prevhashframe and a previous nexhashframe, positioning a chained tampering position, recalculating a CRC8 checksum, comparing with a storage value and marking a damaged data block; and finally, splicing effective data according to a block position sequence, and outputting a complete text and an abnormal mark. According to the method, the unlimited-capacity ordered associated storage breakthrough can be realized, and the tamper-resistant capability is improved.

The invention discloses a motor bearing fault diagnosis method and system based on a multi-dimensional chromaticity symmetric dot matrix, and belongs to the technical field of bearing fault diagnosis, and the method comprises the steps: determining a fault mode needing to be diagnosed, and collecting a current signal and a multi-dimensional vibration signal when an electric agricultural machinery equipment drives a motor bearing to operate in each mode; performing time-frequency spectrum analysis on the collected current signal to obtain a rotating speed signal; decoupling the rotating speed signal from the multi-dimensional vibration signal to obtain a multi-dimensional reconstructed vibration signal; performing feature extraction on the obtained multi-dimensional reconstructed vibration signal, and taking a standard deviation as a color feature to obtain a multi-dimensional chromaticity symmetric dot matrix picture; and outputting a prediction result of fault diagnosis by taking the result as an input signal of the SE-CNN neural network. The method does not depend on a rotating speed sensor, and fault features can be accurately extracted in a working environment with strong bottom noise. The robustness and reliability of fault diagnosis are improved, and the application range of fault diagnosis is expanded.

The invention relates to a tool surface microstructure laser additive filling modification process, in particular to the technical field of tool machining, and the tool surface microstructure laser additive filling modification process comprises the following steps that S1, microstructure design is conducted, specifically, the type of a microstructure is determined according to the tool service condition, the microstructure is of a groove type or a dot matrix type or a two-dimensional or three-dimensional structure, the design depth is 50-800 microns, and the distance between every two adjacent structures is 50-800 microns; according to the tool, the reinforced lubricating composite filling layer is constructed in situ in the micro-texture concave area of the tool, precise filling with the deep micro-texture depth reaching 800 microns is achieved, the filling layer remarkably enhances the mechanical strength of the micro-texture area while providing a chip storage and lubricating space, and therefore the tool can have the good cutting performance under the conditions of high-speed cutting and high-load machining, and the service life of the tool is prolonged. The bending strength attenuation rate is controlled within 5%, and the bending strength attenuation rate of a traditional non-filling or mechanical filling process is generally larger than 8%.

The invention relates to the technical field of welding, in particular to a micro node welding method for a 3D printing lattice structure, which comprises the following steps: S1, scanning a path shape by laser; s2, laser scanning speed; s3, according to a laser scanning strategy, in the step S1, path shapes are divided into a linear shape, a circular shape and a spiral shape, different scanning path shapes can cause differences of the shape and heat distribution of a molten pool, so that flowing of the molten pool is affected, linear scanning may generate a long and narrow molten pool, and the shape of the molten pool cannot be changed. A smoother and more uniform molten pool shape is generated through spiral or circular scanning; by elaborately designing a laser scanning path, the shape and the stability of a molten pool can be optimized, so that the forming quality of a welding seam is improved, defects are reduced, the mechanical performance of a welding joint is improved, in the step S2, the scanning speed can influence energy input of laser in a unit area and directly influence the size and the temperature of the molten pool, and the mechanical performance of the welding joint is improved. Therefore, the flow is influenced.

The invention relates to the technical field of vehicle engineering, and particularly discloses a load distribution optimization method and system for stake skeleton design, and the method comprises the steps: firstly building an initial three-dimensional design domain of a stake skeleton, and applying a composite dynamic load working condition obtained based on multi-body dynamics simulation; then, a material density distribution cloud picture is obtained through macroscopic topological optimization, a main force transmission path is recognized and extracted according to the cloud picture, and a design domain is divided into a core bearing area, a transition area and a non-key area; dot matrix structures with gradient material attributes are designed in the non-key area and the transition area according to stress states, and continuous changes of the material attributes are achieved by adjusting dot matrix types, arrangement directions and control parameters; and finally, carrying out performance verification and parameter iterative optimization on the overall structure comprising the core bearing area and the dot matrix filling area.

The invention discloses a method for generating a metal 3D printing supporting structure, and relates to the technical field of additive manufacturing. The method comprises the steps that geometric analysis is conducted on a three-dimensional model of a to-be-printed part, and areas needing to be supported are recognized and classified into a strong supporting area, a weak supporting area and a transition supporting area; different laser scanning parameters are configured for different supporting areas, a supporting main body adopts low-energy density parameters to form a porous structure, a contact interface adopts discrete dot matrix scanning to form weak connection, and a transition layer with gradually-changed parameters is arranged between the supporting main body and the contact interface; a composite supporting structure composed of hexagonal honeycomb units and vertical thin walls is generated; in the printing process, high-frequency micro-vibration is applied to the support to improve powder fluidity, and sweep-frequency vibration is applied to the interface layer to weaken interface bonding; thermal cycle treatment is carried out after printing, and interface automatic cracking is achieved through the difference of thermal expansion coefficients; and finally, support falling is accelerated through resonance frequency vibration. Through the synergistic effect of the scanning parameter gradient, the structure optimization design and the vibration auxiliary technology, the removability of the support is remarkably improved, the material consumption is reduced, and the surface quality of the part is improved.

The invention belongs to the field of intelligent inspection of power equipment, and particularly relates to a transformer substation unmanned aerial vehicle dual-light inspection route planning method. According to the method, original laser point cloud of substation equipment is simplified, an equipment semantic lattice diagram containing high-altitude environment attributes and equipment semantic tags is constructed, dual-light inspection constraint parameters, namely infrared temperature precision and visible light resolution, are analyzed, and a semantic-environment dual-constraint initial route is generated; and flight and dual-light equipment parameters are dynamically adjusted in combination with a high-altitude environment, and routing inspection coverage completeness and data qualification are ensured through semantic weight driven dynamic obstacle avoidance and dual-light data quality closed-loop verification. According to the method, the route coverage is larger than or equal to 99%, the dual-light data qualification rate is larger than or equal to 95%, the redundant route mileage is reduced by 30%, the method is adaptive to a high-altitude transformer substation suspension type porcelain insulator and composite insulator dual-light inspection scene, and high-quality data support is provided for joint detection of insulator infrared thermal defects and visible light surface defects.

The invention discloses a music teaching touch device for blind people, which comprises a supporting seat and a teaching touch seat, and a plurality of dynamic dot matrix seats are arranged on the teaching touch seat in an array. Three rows and two columns of flexible pads are arranged at the top of each dynamic dot matrix base to form a Braille display matrix, and an electromagnetic plunger assembly is arranged below each dynamic dot matrix base to independently drive each dot position to protrude and reset, so that dynamic display of music Braille and graphs is achieved. The bottom of the dynamic dot matrix seat is connected through a silica gel bowl, and a conducting strip is arranged in the bowl and can be in contact with a corresponding conducting material on a circuit board in the teaching touch seat. When a user presses the dynamic dot matrix seat displaying specific notes, pitch sounding of the notes is triggered. According to the invention, the dynamic tactile display function and the pressing input function are integrated, so that refreshing and interactive learning of the braille music score are realized, and a multi-mode feedback closed loop is realized through tactile sense, auditory sense and operation.

The invention relates to computer aided design, and discloses a Braille printing method and system combined with 3D relief, and the method comprises the steps: carrying out the connection and fusion of a concave-convex topographic map and a multi-level depth map corresponding to each Braille dot matrix, and generating a dual-channel depth map as a printing pattern; controlling the 3D printing system to spray resin on the printing substrate based on the printing pattern read by the light field modulator, and scanning the surface of the resin by laser aiming at the braille dot matrix area to form a concave-convex structure corresponding to the concave-convex topographic map; on the adjacent side of the braille dot matrix area, a multi-wavelength DLP projection system is used for executing layered exposure, the embossment structure represented by the multi-level depth map is projected to the resin layer, and an embossment model is formed; and performing global curing on the whole printed piece based on ultraviolet light to form an integrated finished product of braille alphabets and 3D embossments. The invention further discloses a computer readable storage medium. The method aims at efficiently manufacturing seamless and high-precision multi-layer 3D embossment integrated finished products of braille alphabets and related semantics.

The invention relates to the technical field of additive manufacturing, and discloses a dot matrix model processing method and system based on additive manufacturing constraints. The method comprises the following steps: firstly, reading an initial dot matrix model, discretizing the initial dot matrix model into a combination of nodes and rod elements, and constructing bidirectional association mapping of a topology layer and a space layer; secondly, abstracting constraints such as a suspension angle and a minimum size into a geometric constraint model according to an additive manufacturing scene and performance requirements, quantifying a violation degree through a cost function, and identifying rod elements needing to be corrected; and finally, a hierarchical scheduling strategy is adopted, topological integrity correction, additive manufacturing constraint correction and performance target optimization are executed in sequence, and accurate correction is achieved in combination with the correction operator library. According to the method, the rod element is used as the minimum correction unit, the limitation of a traditional cell element configuration is broken through, the problems that in the prior art, the design freedom degree is low, constraint correction universality is insufficient, and efficiency is low are solved, the original structure performance is reserved to the maximum extent while the process compliance is guaranteed, and efficient and high-quality manufacturability processing of a large-scale lattice structure is achieved.

The invention discloses a finite element analysis-based gradient dot matrix filling force transfer ring structure topological optimization method, which comprises the following steps of: performing optimization design under different topological optimization volume fractions on an initial force transfer ring three-dimensional model by using traditional SIMP topological optimization; the method comprises the following steps: based on a stress cloud chart of each node of an initial force transmission ring three-dimensional model under a working condition obtained by finite element analysis, performing gradient dot matrix filling of stress field driving control cell element wall thickness on each force transmission ring three-dimensional model after traditional SIMP topological optimization, and in the dot matrix filling process, performing gradient dot matrix filling on the cell element wall thickness by circularly optimizing the maximum gradient value of the cell element wall thickness; and performing finite element analysis, calculation and comparison on the three-dimensional models of the force transfer rings after gradient dot matrix filling until the volume fractions of the three-dimensional models of the force transfer rings after dot matrix filling are in a preset interval, and obtaining an optimal three-dimensional model of the force transfer rings. According to the method, the optimization design of the force transmission ring structure is realized by fusing macroscopic topological optimization and microcosmic gradient dot matrix filling optimization, and the rigidity and the strength of the force transmission ring structure are improved.

The invention discloses a password point coordinate recognition method and device based on an actual grid dot matrix of a gesture password, and the method comprises the steps: obtaining an interface image used for inputting the actual grid dot matrix of the gesture password, carrying out the matching of a password point pattern in a template image with the interface image, and obtaining a matching result, determining a unique candidate point corresponding to each password point in the interface image based on a matching result, and constructing a theoretical grid dot matrix according to a preset interval; the theoretical password points are matched with all the unique candidate points, whether the unique candidate points serving as supporting points exist or not is determined, and the number of the supporting points and corresponding matching quality scores are counted; and based on the number of the support points existing in each theoretical grid dot matrix and the corresponding matching mass score, determining the theoretical grid dot matrix matched with the actual grid dot matrix, and calculating the coordinates of the theoretical password points of the theoretical grid dot matrix as the coordinates of the corresponding password points in the actual grid dot matrix. According to the invention, automatic identification and analysis of the gesture password interface can be realized.

The invention discloses a multi-nozzle cooperative control system and method based on a main control board polling communication protocol. The multi-nozzle cooperative control system comprises an FPGA main control board, a motion control module and an FPGA nozzle board set. The FPGA main control board is used for receiving a signal of an upper computer and establishing communication with the FPGA spray head board group by adopting an address ascending order polling strategy so as to carry out dot matrix data transmission; the motion control module comprises a motor, the motion control module is connected with the FPGA main control board, the motor is driven according to pulse frequency and direction signals generated by the FPGA main control board, and a rotary encoder is arranged in the motion control module to feed back the actual position of the motor to the FPGA main control board in real time; and the FPGA spray head plate group is used for receiving dot matrix data issued by the FPGA main control board, and generating a high-voltage pulse to drive and control a corresponding spray nozzle to spray ink when an ignition signal broadcasted globally is received. According to the method, an address ascending order polling strategy is adopted, so that the orderly communication of each FPGA nozzle plate is ensured, and the multi-node competition conflict is thoroughly avoided.

The application discloses a projection interaction method, system, device, storage medium and program product. The projection interaction method comprises the following steps: a projection unit collects a real-time image of a projection picture, and determines a control signal emitted by an optical remote control unit according to the real-time image; a position indicated by the optical remote control unit in the projection picture is determined based on invisible light signals in the control signal; coordinates of the indicated position in an optical dot matrix are determined, and a control corresponding to the coordinates in the projection picture is determined, and an operation instruction corresponding to the control is executed. In the projection interaction method provided by the application, the projection unit can directly determine the position indicated by the optical remote control unit in the projection picture according to the invisible light signals in the projection picture, so as to determine and execute the operation instruction of the control corresponding to the indicated position. Compared with the relatively limited interaction operation in the prior art, the application realizes the interaction operation with the projection picture by determining the invisible light signals, so that the flexibility of the interaction operation is improved.

The embodiment of the present application discloses an image processing method and device, the method comprises: processing a first dot matrix image composed of first black pixels and having a resolution of K into a first contour image and a sub-image inside the first contour image; extracting a tilted image segment from the first contour image, processing the tilted image segment to obtain a second contour image; and combining the second contour image and the sub-image to form a second dot matrix image. Since the sawtooth phenomenon of the tilted line segment of the second contour image will disappear after printing, the tilted line segment of the second contour image is smoother. The image processing method and device can make the tilted image segment of the contour of the second dot matrix image to be exposed smoother, and the sawtooth phenomenon disappears after printing.

This invention discloses a method for embedding a hidden two-dimensional dot matrix watermark using a splicable, cut-out, and fully embedded method. It includes: (1) data normalization encoding; (2) data information signature; (3) multiple error detection and correction encoding; (4) two-dimensional dot matrix; (5) pseudo-random scrambling of the dot matrix data; (6) scale matching with the associated carrier image; (7) generation of a two-dimensional dot matrix point cloud; and (8) embedding the hidden two-dimensional dot matrix point cloud into the associated carrier image. This invention is an information hiding method based on the combination of reliability encoding and printed image processing in modern communication technology using two-dimensional coded dot matrices. It can hide anti-counterfeiting marks, images, or text within printed images to achieve information anti-counterfeiting and information traceability. This method improves the anti-attack capability of the two-dimensional dot matrix and overcomes the problem of unreadable information caused by image damage or misjudgment during printing and optical image acquisition.

The invention relates to a lattice structure performance homogenization calculation method based on a processing path. The lattice structure performance homogenization calculation method comprises the following steps: constructing a track morphology field based on bounding box size information of lattice cells, processing path information and a processing path process database; carrying out pixel / voxelization on the bounding box of the lattice cells; calculating the area / volume fraction of the unit based on the function value of each node in the trajectory morphology field, and obtaining a finite element grid after screening; the processing path is used as input, so that tedious model format conversion, curved surface subdivision and line cluster intersection operation are avoided; the finite element grids are numbered, and material attributes of units are calculated according to an SIMP mode to construct a finite element grid topological relation; a grid containing an area fraction is used as a homogenization representative volume unit, under the loading condition of considering six unit strain inputs, microscopic strain is substituted into a homogenization integral formula, and a macroscopic equivalent elastic tensor is calculated, so that the convergence speed and precision can be effectively improved.