32 results about "Visual material" patented technology

The invention discloses a cognitive disorder nostalgic audio-video intervention therapy method, which comprises the following steps of: building a scene containing nostalgic music art, classical movies and retro original sound, playing matched audio and visual materials to a patient, and guiding the patient to perform structured intervention activities such as puzzle, theme recall or emotion sharing. Therefore, memory is stimulated, cognition is exercised, and emotion expression is promoted; according to the invention, by integrating three layouts of audios of nostalgic music art, classical movies and retro original sounds with matched visual elements, a multi-scene nostalgic sensory environment is constructed, and auditory and visual channels of a patient can be synchronously stimulated; compared with single auditory or visual stimulation, the compound sensory stimulation can more effectively activate a plurality of brain areas related to memory and emotion in the brain, so that long-term memory of deep sleep is more intensively aroused, and the strength and awakening efficiency of reminiscence stimulation are greatly improved.

The invention discloses a three-dimensional visual material dynamic management scheduling system for power station storage, and relates to the technical field of material dynamic management. The system comprises a material circulation data management module, an approval path performance analysis module, a material perfectness rate statistics and early warning module, a demand response and influence calculation module and a three-dimensional visual display module. The material circulation data management module constructs a whole-process database; the examination and approval path efficiency analysis module reveals the relationship between examination and approval time consumption and emergency degree and the path efficiency difference; the material perfectness rate statistics and early warning module forms correlation between the circulation frequency and the perfectness rate and sets an early warning threshold value; the demand response and influence calculation module calculates an aging value and provides an optimization suggestion; and the three-dimensional visual display module integrates and displays the key information to form a dynamic visual management interface, so that efficient, accurate and intelligent management and scheduling of the warehouse materials of the power station are realized.

The present application relates to the technical field of automatic data processing, in particular to a dynamic resume evaluation method based on a multi-modal large model. The method comprises: receiving a file containing the resume information of an applicant and a portfolio containing one or more visual works of the applicant; based on the file containing the resume information of the applicant, analyzing the file using a resume analysis module to generate a resume score; based on the portfolio of the applicant, analyzing the portfolio using a portfolio analysis module to generate a portfolio score; based on the file containing the resume information of the applicant and the portfolio of the applicant, calculating a consistency score using a consistency analysis module; and fusing the resume, portfolio and consistency scores to generate a final matching degree score to determine the matching degree of the applicant and the post. The present application solves the problem that traditional methods cannot evaluate visual materials and verify the authenticity of resumes, and provides a more accurate, objective and comprehensive candidate screening scheme.

The present disclosure relates to a speech disorder detection method, device, equipment and readable storage medium. By acquiring standard audio-visual materials, in response to the pronunciation operation of the to-be-detected object to the standard audio-visual materials, multi-modal pronunciation data is collected, audio acoustic features are extracted based on the pronunciation audio, video visual features are extracted based on the video of the face and oral cavity activity, the audio acoustic features, the video visual features and the demographic information coding data are fused to obtain a fusion feature vector, and based on the fusion feature vector and a pre-trained prediction model, a speech disorder detection result of the to-be-detected object is obtained. Compared with the prior art, the embodiment of the present disclosure can improve the accuracy and comprehensiveness of speech disorder detection, improve the diagnosis efficiency, reduce the dependence on professionals, reduce the burden of medical resources, and clearly determine the specific type of pronunciation problem, thereby providing a scientific basis for subsequent individualized intervention treatment.

The invention discloses lens dispensing, aligning and laminating equipment, and belongs to the technical field of lens laminating equipment. Comprising a machine table, a dispensing and laminating module is arranged on the machine table, the dispensing and laminating module comprises a material tower unit, and the material table unit comprises a prism material tower and a lens material tower which are arranged in parallel; the prism material tower is sequentially provided with a prism carrying table module and a prism visual material taking unit in the advancing direction. The lens material tower is sequentially provided with a lens carrying table module and a lens visual material taking unit in the advancing direction. A fine positioning unit is arranged between the prism visual material taking unit and the lens visual material taking unit; a fitting carrier assembly is arranged below the fine positioning unit, an optical recognition alignment assembly is arranged behind the fine positioning unit, and a discharging curing unit is arranged on the side of the fine positioning unit. The lens dispensing, aligning and laminating equipment disclosed by the invention can be suitable for aligning and laminating a concave lens or a convex lens to a prism, and automatic production is realized in the whole laminating process.

An object of a system according to an embodiment is to facilitate understanding by adding visual information to text information.SOLUTION: A system includes a text analysis part, a flow generation part, and a visual material assignment part. The text analysis unit analyzes a text input by a user. The flow generation unit generates a flow on the basis of the content analyzed by the text analysis unit. The visual material assignment unit assigns an image or a moving image to the flow generated by the flow generation unit.SELECTED DRAWING: Figure 1

We provide the system. [Solution] A means of accepting voice input, A means of converting received audio into text data, A means of analyzing the converted text data and searching for related information, A means for generating visual materials based on retrieved information, A means for outputting the generated visual material to a display device, A means of providing summaries of visual materials in audio format, A system that includes this.

This invention discloses a visual sorting method and system for photovoltaic quartz sand, relating to the field of visual material sorting. It includes a single-particle feeding and arrangement module for continuously and uniformly conveying photovoltaic quartz sand material through a vibrating feed and guiding alignment mechanism, transforming the material into a stable, discrete, equidistant, and ordered arrangement of single particles; and a capture module for acquiring multispectral images of the photovoltaic quartz sand material with overlapping conveying path boundaries, obtaining raw data of multidimensional optical imaging of the material's surface and subsurface layers. This invention, through simultaneous acquisition of multidimensional optical data from the material's surface and subsurface layers via multispectral imaging, effectively captures subtle impurity information that is difficult to detect using traditional methods. It can accurately identify various trace impurity elements such as Al, Fe, Ca, Ti, Na, and K, enabling efficient separation and collection of qualified and unqualified materials, effectively improving the accuracy, efficiency, and stability of photovoltaic quartz sand sorting.

The application provides an incremental training and optimization processing method and system of a short play field corpus, relates to the technical field of short play content data processing, and comprises the following steps: through a field self-adaptive intelligent corpus pre-structuring model, original short play field data from an authorized source is integrally processed to generate labeled corpus; the integrally processing comprises automatic data quality screening, labeling of a plot structure label and an emotional context label on text data, and labeling of multi-dimensional visual feature labels on visual materials; based on the labeled corpus, a field instruction fine-tuning and human preference reinforcement learning are performed on a basic generation model to optimize the performance of the basic generation model in narrative generation and cross-modal consistency, and an optimized basic generation model is obtained. The application is suitable for realizing closed-loop optimization and precise improvement of the field adaptability of the generation model of the short play field corpus through multi-dimensional interactive feedback of users.

We provide the system. [Solution] A means of extracting design and layout features from a collection of information that records past visual materials, A means for training an artificial intelligence model that generates visual materials based on extracted design and layout features, A means for receiving instruction information from a user and generating visual materials using the artificial intelligence model based on said instruction information, Means for providing generated visual materials to users, A means for receiving evaluation information from users and improving the artificial intelligence model based on said evaluation information, A means of acquiring the latest current events information and integrating it into visual materials, A system that includes this.

The invention belongs to the technical field of computers and artificial intelligence, particularly relates to an auxiliary teaching material generation method and system based on an artificial intelligence technology, and aims to solve the problems that existing teaching materials are low in production efficiency, insufficient in individuation degree and difficult to generate visual materials. The method comprises the steps of obtaining and analyzing a teaching material generation request to determine a teaching range requirement and a core knowledge point; according to the requirements and the core knowledge points, aggregating related contents from a plurality of resource libraries, and extracting and generating a hierarchical knowledge point structure by using an artificial intelligence large model; and generating at least one teaching material including an interactive animation, a knowledge card or a mind map based on the knowledge point structure. According to the invention, the teaching materials can be automatically, intelligently and individually generated, the lesson preparation efficiency is remarkably improved, the expression form of the teaching resources is enriched, and the teaching effect is improved.

The invention discloses a video generation method, electronic equipment and a storage medium, and relates to the technical field of e-commerce, and the method comprises the steps: endowing copywriting content in a product introduction copywriting with a copywriting label according to product feature information, determining a visual material corresponding to the copywriting label, and obtaining a visual material set; outputting and obtaining a product introduction voice file according to the product introduction copywriting by using a pre-trained sound model; utilizing a pre-trained digital human model to obtain a digital human video according to the product introduction voice file and preset reference video output; and synthesizing a product introduction video according to the visual material set and the digital human video. According to the invention, the video generation quality and efficiency are improved.

The invention discloses a liquid propellant mutual striking ignition combustion demonstration system and method, and solves the problem that a theory-practice-actual combat integrated teaching target is difficult to realize due to the lack of safe combustion demonstration equipment suitable for a teaching scene in the existing liquid propellant combustion characteristic teaching. The two liquid propelling units with the same structure and the combustion demonstration unit are arranged, the two liquid propelling units are respectively used for propelling an oxidizing agent and a combustion agent into the combustion demonstration chamber, so that the oxidizing agent and the combustion agent are subjected to mutual impact combustion demonstration in the combustion demonstration chamber, demonstration images are acquired through the image acquisition device, and the purpose of safe combustion demonstration is achieved. According to the invention, visual materials are provided for propellant teaching practice, students are helped to establish concrete cognition, the teaching effect is obviously improved, the safety requirement of a teaching scene is met, and the theory-practice-actual combat integrated teaching target is realized.

The application discloses a kind of visual material processing method, device and system, computer terminal.Therein, the method includes: receiving visual material set, wherein visual material has included the product feature associated with product to be recommended;Visual material in visual material set is formed candidate lens set in the way of material sequence;Based on the semantics of product feature and the perceptual persuasion of visual material, multiple target lenses are filtered from candidate lens set;Video for recommending product is generated by lens sorting of multiple target lenses based on sorting factor, wherein sorting factor includes at least one of the following: semantic distance between target lenses, significant area ratio of product in target lens and similarity between target lenses;Output video.The application solves the technical problem that visual material is manually processed by manpower in the related art, resulting in higher cost and longer time-consuming.

The invention discloses intelligent visual material component detecting and screening equipment which is characterized in that the lower parts of a material conveying belt and a high-frequency coil device are fixed on the ground through a bracket, a conveying belt part of the material conveying belt penetrates through the high-frequency coil device, and a thermal imager master controller is connected to the high-frequency coil device through a supporting rod; a front thermal imager and a rear thermal imager which are the same in structure are arranged below the thermal imager master controller, the front thermal imager and the rear thermal imager are arranged on the two sides of the supporting rod respectively, and the front thermal imager, the supporting rod and the rear thermal imager are arranged in a row in the movement direction of the material conveying belt. And the material screening air tap is arranged below the tail part of the material conveying belt and is electrically connected with the thermal imager main controller. According to the invention, high-frequency heating is utilized, thermal imaging acquisition is respectively carried out on materials before and after heating by using the visual assembly, a conductor and a non-conductor are distinguished by analyzing and comparing the difference of two times of imaging, metal components are screened out, and finally materials with other components are removed.

The invention relates to the technical field of micro-dispersion fluid flow observation, and discloses a micro-dispersion performance observation platform and a use method, the micro-dispersion performance observation platform comprises a micro-disperser used for breaking and dispersing fluid into liquid drops or bubbles, a micro-reactor communicated with an outlet of the micro-disperser, and an observation pipe connected with a liquid outlet of the micro-reactor, the microreactor is arranged in the observation tube, the image acquisition unit is arranged on the side wall of the observation tube, the microreactor is made of a high-temperature-resistant and high-pressure-resistant material, a liquid outlet of the microreactor extends into the observation tube, and the image acquisition unit can record the micro-dispersion state of liquid drops or bubbles in the observation tube. An operator can directly record the micro-dispersion state of the liquid drops in the observation tube through the image acquisition unit, so that the micro-reactor can select a proper material according to actually required reaction conditions, the micro-dispersion performance can be measured without selecting a visual material convenient for observation, the micro-reactor does not limit the material any more, and the measurement accuracy is improved. The method is not affected by operation conditions, and the application range is greatly widened.

The invention discloses a structured editing instruction generation method and system based on a director language model. The method comprises the following steps: analyzing a script text by utilizing a large language model, and outputting a structured semantic unit; based on a semantic unit, combining a director rule and model reasoning to generate lens planning parameters; fusing the parameters and the script into a machine-readable structured editing instruction; scheduling or generating a visual material according to the instruction; and finally, converting the instruction and the material into an editing project file and outputting a video. The method also supports style migration and multi-modal feedback learning, can adjust the output according to the reference style, and continuously optimizes according to the user feedback. According to the system, automatic and high-quality editing from scripts to slices is realized, and the system is particularly suitable for commercial video production scenes with high requirements on efficiency and creativity.

The utility model provides a magnetic vibration sorting disc, and belongs to the technical field of visual material taking. Comprising a drum, a material disc, an elastic drum leather located below the material disc and a magnetic force control structure located below the elastic drum leather, the magnetic force control structure comprises a limiting disc which is fixed to the drum and located below the elastic drum leather, a plurality of guide holes are longitudinally formed in the limiting disc, and a sliding block is longitudinally connected below the limiting disc in a sliding mode; permanent magnet columns in one-to-one correspondence with the guide holes are fixedly arranged on the sliding block, and a lifting piece capable of driving the sliding block to do longitudinal reciprocating motion is arranged between the sliding block and the drum; and a plurality of iron balls are arranged between the elastic drum leather and the charging tray. The vibrating device has the advantages of uniform vibration and the like.

The utility model discloses a pressing storage container with visual metering and discharging functions. The pressing storage container comprises a bottle body with a cavity and a linkage rod connected into the bottle body in a sliding mode. The lower end of the bottle body is further connected with a detachable base, the lower end of the detachable base is detachably connected with a visual material cup, and a supporting bottom face is formed at the bottom of the visual material cup. A material opening is formed in the middle of the detachable base, and the lower end of the linkage rod extends into the material opening and is connected with a material plug. Compared with the prior art, the pressing storage container with the visual metering and discharging functions has the advantages of being convenient to operate and use and capable of conducting quantitative discharging.

The utility model belongs to camera detection technical field, concretely relates to a kind of mobile phone camera lens detection equipment, including: rack, and stripping membrane feeding mechanism, visual material taking mechanism, detection mechanism, material receiving laminating mechanism and directional material taking mechanism being set on the rack;The stripping membrane feeding mechanism is used to convey product and remove the film material covered on product surface, the visual material taking mechanism is located at the discharging end of the stripping membrane feeding mechanism, the visual material taking mechanism is used to move the product stripped by the stripping membrane feeding mechanism to the detection mechanism for detection, the material receiving laminating mechanism is located at the discharging end of the detection mechanism.The utility model can realize the integration of stripping membrane, detection and laminating of camera lens by the mutual cooperation between stripping membrane feeding mechanism, visual material taking mechanism, detection mechanism, material receiving laminating mechanism and directional material taking mechanism, effectively save manpower, improve detection efficiency.

The application provides a three-dimensional visual material distribution method for general assembly pipeline production, newly creates an assembly drawing in three-dimensional software and loads an assembly model; creates a station layer and names it according to pipeline production needs; performs cross-layer multi-station decomposition on materials of the assembly model; checks the created assembly model into a Windchill product library, and writes station material details into a Windchill data pool through XML; automatically builds a station BOM under the assembly BOM by reading the station material details and the station layer name, and sends MES and WMS; and sends data to an MES database table by creating a combination view and generating a lightweight model. The method has the advantages of realizing arbitrary combination of a same component single layer and different stations, material distribution of a same component multi-layer and multi-station, better coordination with production organization, and realization of station-level material taking and distribution.

The invention provides equipment for representing surface flatness of a liquid crystal substrate, which comprises a measuring box body, feeding windows are arranged on the front surface and the back surface of the measuring box body, elastic lifting baffles are assembled in the feeding windows, and a material conveying assembly is fixedly mounted on the inner wall of the measuring box body at the positions of the baffles; material loading devices are fixedly installed at the bottom in the measuring box body and located on the two sides of the material conveying assembly, a detection device is fixedly installed on one side of each material loading device, a color developing assembly is fixedly installed on the portion, on the other side of each material loading device, of the measuring box body, and a shooting assembly is fixedly installed at the top of the measuring box body above the color developing assembly; and an irradiation assembly is fixedly mounted at the top of one side in the measuring box body. According to the invention, a high-contrast imaging background is provided for flatness projection of the substrate through the gradient bottom color layer coated on the surface of the bottom cloth in the color developing assembly, the flatness difference of the surface of the substrate can be clearly presented, the imaging blurring is avoided, and a high-quality visual material is provided for subsequent picture analysis.

The utility model provides a novel safety warning device which is composed of multiple layers of materials, namely a base material layer, a visible light visual material layer, a broadband wavelength selective reflecting layer, a corner reflector structure layer and a protective layer from the bottom layer to the outermost layer in sequence. Wherein the broadband wavelength selective reflecting layer is a wavelength selective reflecting film formed by a plurality of layers of dielectric materials, is transparent to visible light, and has extremely high reflectivity to light in a working wave band of the vehicle-mounted laser radar; the corner reflector structure layer comprises a miniature rectangular prism, and laser radar signals can be effectively reflected back to an emission source of the corner reflector structure layer in a wide incidence angle range. By applying the safety warning device, the reflectivity and the retroreflection effect of the safety warning device under the two main laser radar working wavelengths of 905 nanometers and 1550 nanometers can be greatly improved, meanwhile, the visual characteristics required by human recognition are kept, and the running safety and reliability of an intelligent / automatic driving automobile are improved.

Provide a system. 【Solution means】 Means for collecting a plurality of information including past activity achievements and organizing the information; Means for predicting an effect using a machine learning method based on the organized information; Means for automatically generating an optimal media plan based on the predicted effect; Means for generating visual materials based on the media plan and prediction results; Means for presenting the generated media plan and visual materials and receiving opinions; Means for analyzing the user's history and preferences and providing individually optimized advertisements; Means for recollecting the user's reaction and adjusting the machine learning method; A system including the above.

The invention relates to the technical field of automatic data processing, in particular to a dynamic resume evaluation method based on a multi-modal large model. The method comprises the following steps: receiving a file containing applicant resume information and a work set of the applicant containing one or more visual works; based on the file containing the applicant resume information, analyzing the file by using a resume analysis module to generate a resume score; based on the work set of the applicant, utilizing a work set analysis module to analyze the work set to generate a work set score; calculating a consistency score by using a consistency analysis module based on the file containing the applicant resume information and the work set of the applicant; and fusing the resume, the product set and the consistency score to generate a final matching degree score so as to determine the matching degree of the applicant and the post. According to the method, the problem that the traditional method cannot evaluate the visual material and verify the authenticity of the resume is solved, and a more accurate, objective and comprehensive candidate screening scheme is provided.

The invention discloses a food counting and weighing production line and a production method. The food counting and weighing production line comprises a counting workstation, a weighing conveying line, an output conveying line, a differential separation conveying mechanism and a blocking driving mechanism. And the visual material supplementing mechanism comprises an identification driving mechanism and a material supplementing conveying belt, the identification driving mechanism is arranged on the differential separation conveying mechanism, the material supplementing conveying belt is connected with the weighing conveying line, and the identification driving mechanism identifies the materials with the specific postures and drives the materials to move into the material supplementing conveying belt. According to the food counting and weighing production line provided by the invention, materials in specific postures are identified through the visual material supplementing mechanism while the materials are subjected to differential separation, so that the materials in the material supplementing conveying belt are supplemented, finally, a batch of materials lacking in weight are supplemented through the material supplementing conveying belt, full-automatic production of large-package fixed-number and fixed-quantity food can be realized, and the production efficiency is improved. And the labor investment is reduced, and the production efficiency of large-package-quantity food can be greatly improved.

The invention discloses a brand visual communication image design optimization system based on color psychology, and relates to the technical field of computer aided design. The data acquisition module acquires text emotion data, eye movement heat map data, behavior index data and brand visual material data and performs standardization processing; the mapping construction module establishes a color psychological response mapping relation and an attention conversion rate mapping relation based on the processed data; the fusion scoring module takes brand basic color matching information as an optimization starting point and adopts a multi-objective optimization theory to calculate a comprehensive score; the candidate generation module generates candidate color matching schemes through vector operation; and the verification updating module adopts a reinforcement learning framework to test and verify the candidate color matching schemes, and updates scoring weight parameters through an incremental learning mechanism of Bayesian reasoning. According to the invention, an optimized color matching scheme which accords with brand tonality and has market competitiveness can be automatically generated based on the psychological and behavior data of the user.

We provide the system. [Solution] A means for analyzing speech information acquired by speech recognition means and converting the speech information into text information, A means for detecting pronunciation errors and generating feedback by comparing the converted character information with the previously acquired character information for teaching materials, A means for automatically generating visual material related to a predetermined term by an image generation means, A means for generating virtual simulation images using a video generation means, The aforementioned video is provided to learners as a means of promoting practical experience, A means of providing an interactive language learning experience by integrating speech recognition, image generation, and video generation technologies. A system that includes this.

The invention provides a video false news detection method and device, and the method comprises the steps: taking a text material library and a visual material library as input based on a large language model, and generating a diversified video false news synthesis sample pool through a preset video false news synthesis process; dynamically screening an enhanced sample which has the most information amount value for the detection model from the synthetic sample pool; and adding the enhanced sample into a training set, carrying out iterative training to obtain an optimized detection model, and outputting a detection result of whether the video contains false information or not by the detection model. According to the method, the accuracy of video false news detection can be remarkably improved.

The invention relates to the technical field of intelligent buildings and environmental protection, and discloses a multi-material topological optimization noise reduction coating design method fused with visual design, which comprises the following steps: acquiring a building surface three-dimensional point cloud and a two-dimensional visual scheme to construct a design domain, calculating a visual attribute gradient, and dividing the design domain into a pure color region and a gradual transition region; establishing an anisotropic acoustic visual material database containing a visual equivalent group; constructing a visual acoustics collaborative topological optimization model, and applying color error and impedance gradient constraints while minimizing sound potential energy; an adjoint variable method is adopted for cooperative solution to obtain optimal material distribution; and finally, a targeted digital spraying construction instruction is generated in combination with a region division result. According to the method, the coupling relation between the visual gradient and the acoustic impedance gradient is established, acoustic performance maximization under a complex visual pattern is achieved through multi-material topological optimization, the problem that aesthetics and functions are difficult to consider in traditional design is solved, and the sound absorption efficiency and construction precision of the noise reduction coating are improved.