23 results about "Visual Feedbacks" patented technology

The invention relates to the field of digital cultural heritage processing and man-machine interaction, and discloses a farming and nomadism digital symbol interactive experience system, which comprises an attribute propagation module used for calculating an organizational form attribute value representing a continuous pedigree state of a symbol between a farming ordered system and a nomadism free system; the correlation calculation module is used for constructing a correlation graph containing a time sequence evolution relationship based on the attribute value; the manifold evolution engine is used for constructing a mixed potential energy field formed by superposition of grid adsorption potential energy and free interaction potential energy, and adjusting sign stress parameters and motion trails according to attribute values; and the adaptive rendering module is used for generating a symbol form and visual feedback according to the attribute value and the association weight. According to the method, logic attributes are mapped into physical potential energy field weights and rendering parameters, so that continuous dynamic expression and visual interaction of historical symbols from a grid structure to a manifold structure are realized.

The invention belongs to the technical field of automatic welding and industrial robot control, and relates to a welding pool state monitoring and control method and device based on visual feedback. The method comprises the following steps that an industrial camera is controlled to conduct position translation, and a to-be-welded area enters the effective view field of the industrial camera; in the welding process, continuous image collection is conducted on a welding area, and multiple welding images are obtained; performing weighted fusion on the plurality of welding images to obtain a fused image, and preprocessing the fused image to obtain a preprocessed image; molten pool state recognition is carried out based on the preprocessed image, and current molten pool state parameters and corresponding welding defect information are obtained; comparing the current molten pool state parameter with a preset target parameter of the molten pool to obtain a state deviation, and generating a corresponding driving instruction according to the state deviation; and performing multi-stage attitude adjustment and fine positioning control on the industrial camera based on the driving instruction, so that the welding pool is kept at the optimal observation visual angle.

A fishing float system and control method, comprising a float module and a mobile terminal, wherein; the float module comprises a waterproof shell and an electronic cabin, the electronic cabin is arranged inside the waterproof shell, the waterproof shell is used to avoid the electronic cabin from being flooded; the electronic cabin is provided with a main control module, a Bluetooth, a motion sensing module, a visual feedback module and a power module, wherein; the main control module is electrically connected with the Bluetooth; the main control module is electrically connected with the motion sensing module, and the motion sensing module is used to sense the motion state of the float; the main control module is electrically connected with the visual feedback module, and the visual feedback module is used to send light signals according to the fish condition; the power module is used to supply power for the main control module; the mobile terminal is communicatively connected with the mobile terminal through the Bluetooth, and is used to receive fish condition event information.

This invention relates to the field of coal quality sampling technology and discloses an optimized control method for a coal quality sampling device. The method involves detecting a vehicle carriage positioning signal, acquiring a set of structural feature parameters and a set of coal surface images of the target carriage based on a camera, generating a coal quality heterogeneity distribution map of the target carriage based on historical coal quality sampling datasets, generating a candidate sampling point location matrix based on the structural feature parameter set and the coal quality heterogeneity distribution map, performing a spatial representativeness assessment on the candidate sampling point location matrix to obtain a sampling representativeness index, determining that the sampling representativeness index is higher than a preset sampling start threshold, generating a sampling execution path planning vector based on the candidate sampling point location matrix, executing coal quality sampling operations according to the sampling execution path planning vector, collecting a sample set and process visual feedback streams, and combining spatial representativeness assessment with a closed-loop quality verification mechanism to avoid collisions with the coal-carrying vehicle, thereby achieving adaptive optimization of sampling points and dynamic assurance of sampling effectiveness.

The invention discloses a laser melting deposition light beam regulation and control device and method for a thin-wall component, and the method comprises the steps: enabling incident laser to sequentially pass through an energy adjustment module, a reflector module and a zooming module, and then to be emitted to the surface of the thin-wall component; the control module is connected with the energy adjusting module, the zooming module and the visual feedback module. The visual feedback module is used for acquiring molten pool state parameters of the thin-wall component, the current deposition position, the component height and the thickness of a deposited layer in real time; the control module is used for generating an energy control signal according to the current deposition position so as to control the energy adjusting module to adjust the energy density of the incident laser; according to the sum of the height of the component and the thickness of the deposited layer, a focusing control signal is generated so as to control a zooming module to adjust the focus position of the emergent laser; the reflector module is connected with the visual feedback module and used for dynamically adjusting beam parameters of incident laser according to the state parameters of the molten pool, and the morphological stability of the molten pool at different positions is improved.

A computer-implemented method provides real-time visual feedback of intraluminal catheter engagement within a luminal organ of a patient. A catheter with electrodes on a distal end assembly is positioned in the organ, and a three-dimensional (3D) model of the internal surface is generated and rendered as a 3D anatomical map. For each electrode, a proximity value indicative of distance to a tissue wall is determined based at least on measured impedance and translated into a graphical attribute value. A continuous proximity visualization feature is formed by sequencing the graphical attributes according to electrode positions, representing proximity variations. The feature is projected onto the 3D anatomical map, creating an integrated graphical representation displayed on a computer display. The visualization is dynamically updated in response to impedance changes, providing real-time feedback on catheter contact with the tissue wall.

The invention provides a method for enhancing multi-user coexistence sense and behavior perception in a VR cooperation environment, and relates to the technical field of VR cooperation. The method for enhancing the multi-user coexistence feeling and behavior perception in the VR cooperative environment comprises the following steps of S1, hardware model selection, S2, a data acquisition layer, S3, a data synchronization layer, S4, an AI intelligent WIM optimization layer, S5, a WIM core interaction layer, S6, a multi-mode feedback layer and S7, an output layer. Aiming at the defects of global and local perception imbalance and single perception dimension in large-scene cooperation of the existing VR cooperation technology, an AI intelligent view adaptation system is constructed, scenes, tasks and interaction intentions are recognized in real time, a global overhead view and a local close-up view are automatically switched, the contradiction between global and local perception is solved, and the real-time interaction of the scene, the task and the interaction intention is realized. Through the synergistic effect of the AI dynamic view and the multi-modal feedback, the single dependence of visual feedback is broken, the information of the collaboration party is accurately transmitted, the coexistence sense and behavior perception ability of multiple users are remarkably enhanced, and the collaboration fluency and immersion are improved.

The application relates to the field of artificial intelligence, and particularly discloses an industrial design parameterized design system with multidimensional simulation feedback, which comprises a parameterized modeling module, a multidimensional simulation module, a simulation agent model construction module, a multidimensional feedback fusion and optimization module, an iterative convergence discrimination module and an interactive visual feedback module; the parameterized modeling module is used for generating an integrated parameterized three-dimensional model containing geometric features, material distribution and topological structure according to input design parameters. The application constructs an integrated parameterized three-dimensional model fusing geometric features, material distribution and topological structure, realizes millisecond-level real-time updating of the model through an incremental constraint solver, adopts an isogeometric analysis method based on NURBS, unifies the discretization process of modeling and simulation, avoids model conversion errors and realizes seamless connection of parameterized modeling and multi-physical field simulation.

The application relates to a residual breathing lamp method for new energy charging, and relates to the technical field of man-machine interaction of new energy vehicles, and comprises the following steps: S1, current power information and current charging mode information of a power battery are acquired in real time; and S2, target color parameters and reference brightness parameters are calculated based on the current power information through a preset color mapping model. According to the application, the power of 0%-100% is continuously and steplessly mapped into color gradation from red to green through a high-precision color mapping model, and 65536-order smooth color transition is realized by means of 16-bit PWM control technology, so that subtle power changes can also bring delicate and soft visual feedback. Meanwhile, the method integrates an adaptive intelligent adjustment function: the rhythm of the breathing effect dynamically changes according to different modes such as fast charging and slow charging, and the charging speed is vividly reflected; and the display brightness is automatically adjusted according to ambient light, so that the display is not dazzling in dark light and is clearly visible in strong light.

The invention discloses a man-machine interaction system and interaction method based on flexible electronic perception and display, and relates to the field of data processing and man-machine interaction. The flexible sensing module is used for acquiring physical interaction information of a user at a user side in real time and collecting a generated multi-mode interaction signal; the signal processing and decision-making unit is used for carrying out preprocessing and feature analysis on the multi-modal interaction signal to extract feature parameters, outputting an identification result according to the feature parameters by adopting an action identification model, and generating a control instruction according to the identification result; the flexible display module drives a display pixel unit at a corresponding position based on the multi-mode interaction signal according to the display driving instruction so as to change brightness, color or display patterns and carry out dynamic visual feedback display; and the execution module drives external execution equipment to perform execution operation according to the execution control instruction. According to the invention, the naturalness and reliability of human-computer interaction can be improved.

The invention relates to the technical field of image detection, in particular to an image detection system and method based on multi-modal feature fusion, and solves the problems that in an existing image detection process, target recognition and classification are generally performed by depending on single-modal data, and feature extraction and detection cannot be performed on multi-modal image data. Comprising a data collecting and processing module, a feature extraction module, a multi-mode fusion module, a self-detection execution module and a visual feedback module, wherein the data collecting and processing module is used for uniformly processing original data from sensors in different modes and executing size normalization, color space conversion and noise removal on the original data; the data collecting and processing module is composed of a data loader, a modal standardizing device, a modal adaptation layer and a parallel CNN encoder. According to the invention, through image feature extraction, importance of each modal input can be dynamically weighted by using an attention guiding mode, and accuracy and efficiency of image detection are improved.

The invention relates to the technical field of fuel cell manufacturing, and discloses a full-automatic robot stacking and servo press-fitting forming process of a phosphoric acid fuel cell stack, and the process comprises the following steps: executing base material initialization and quantitative acid coating; a visual detection unit is used for extracting coating features and calculating a coating distribution density index; a robot execution unit is controlled through multi-stage visual feedback to complete assembly initial positioning and visual servo fine positioning; when the stacking reaches a preset period, the central control unit calculates a corrected target displacement according to a coating distribution density index, and drives the servo press-fitting module to execute self-adaptive press-fitting based on feedforward compensation; and repeating the steps until the whole pile is finished. According to the method, the mapping relation between the optical characteristics of the coating and the press-fitting displacement is established, so that the microscopic difference of the coating thickness is effectively compensated, the fluctuation of the contact resistance is eliminated, the closed-loop monitoring of the whole-flow data is realized, and the assembly precision and the performance consistency of the galvanic pile are remarkably improved.

The disclosed computer-implemented methods and systems can generate and implement feedback signatures including feedback signals that can convey—on a display screen device—the occurrence of a particular event relative to a video game. For example, the disclosed methods and systems can generate feedback signatures including combinations of visual feedback signals, auditory feedback signals, and / or haptic feedback signals. The disclosed methods can further modify generated feedback signatures such that the feedback signatures are specifically tailored to the capabilities of the display screen device and the preferences of the video game player. Various other methods, systems, and computer-readable media are also disclosed.

The present application relates to the technical field of vehicle-mounted intelligent navigation and cloud information processing, in particular to a cloud platform-based vehicle-mounted navigation information feedback processing system and method, which comprises: obtaining touch coordinate data stream and audio data stream with time stamps respectively; blocking synchronous uploading of the two when detecting that network quality is lower than a preset network quality threshold; extracting geometric features and semantic features and combining time offsets to form a space-time intention vector; pushing the vector into a local asynchronous queue and rendering initial visual feedback marks in an asynchronous visual feedback layer; monitoring vector uploading status and confirmation instructions or rejection instructions returned by the cloud, dynamically adjusting confidence according to a preset attenuation model and mapping the confidence to visual display attribute update marks; the present application can maintain low-delay interactive feedback under weak network or no network conditions, reduce uplink load and avoid interface blocking.

The application belongs to the technical field of automatic welding and industrial robot control, and relates to a welding molten pool state monitoring and control method and device based on visual feedback. The method comprises the following steps: controlling an industrial camera to perform position translation, so that a to-be-welded area enters the effective field of view range of the industrial camera; in a welding process, continuously collecting images of the welding area to obtain multiple welding images; performing weighted fusion on the multiple welding images to obtain a fused image, and performing preprocessing on the fused image to obtain a preprocessed image; performing molten pool state recognition based on the preprocessed image to obtain current molten pool state parameters and corresponding welding defect information; comparing the current molten pool state parameters with preset target parameters of the molten pool to obtain a state deviation, and generating corresponding driving instructions according to the state deviation; and performing multi-stage posture adjustment and fine positioning control on the industrial camera based on the driving instructions, so that the welding molten pool is kept at an optimal observation viewing angle.

The invention discloses a three-dimensional hand object interaction action sequence generation method and system based on mixed expert and visual feedback, belongs to the field of hand object interaction action generation, and provides an end-to-end generation architecture, so that end-to-end joint optimization can be realized in a model training stage; by introducing a hybrid expert mechanism and a visual feedback mechanism, the expert groups guided by layered semantics and a double-channel visual feedback mechanism are constructed, so that the different expert groups are specific to different hand-object interaction modes, and meanwhile, the expert network of each expert group is intelligently gated through the visual features of interaction images; accurate capture of fine-grained motion features is achieved, the problem that a general model is difficult to give consideration to global postures and local details is effectively solved, and the quality of generated actions is remarkably improved. Besides, real-time rendered interactive image feedback is adopted, so that the generative network is endowed with physical perception and self-correction capability, and the physical consistency and robustness of interactive actions are remarkably improved.

The application relates to the field of intelligent cockpit human-computer interaction, and discloses a vehicle-mounted graphical interface intelligent agent system based on a multimodal large model and voice interaction, a vehicle-mounted end subsystem and a cloud end intelligent agent subsystem. The vehicle-mounted end subsystem collects voice streams and screen images, and sends the voice streams and the screen images to the cloud end through a full-duplex long connection channel; the cloud end intelligent agent subsystem jointly reasons voice intentions and interface visual elements by using a multimodal large model, generates an operation action sequence, and returns the operation action sequence as a control instruction stream; the vehicle-mounted end analyzes the instruction and converts the instruction into a bottom layer input event to inject the graphical interface. The system adapts to different physical resolutions by using a virtual normalized coordinate system, guarantees the real-time performance of voice by using a transmission queue priority strategy, and realizes the monitoring and self-recovery of operation abnormalities by introducing a visual feedback closed loop mechanism. The application realizes the automatic control of a general graphical interface based on natural language, and improves the intelligent level and generalization ability of vehicle-mounted interaction.

A touch air conditioner controller panel switch comprises a touch feedback system, which comprises a touch unit, a power supply LDO and a LIN transceiving unit, a light driving unit and an LED connected with the light driving unit, the LED being a visual feedback actuator, a motor power supply unit, a motor driving unit and a linear motor connected in sequence, the motor power supply unit supplying power to the motor driving unit, the motor driving unit controlling the linear motor, the linear motor being a tactile feedback actuator, and a main control unit connected with the touch unit, the power supply LDO and the LIN transceiving unit, the light driving unit and the motor driving unit respectively for receiving signals sent by each unit and controlling each unit; the main control unit sends the recognized touch signal to an air conditioner controller through LIN communication, the air conditioner controller feeds back a start signal to the main control unit, and the main control unit drives one or both of the visual feedback actuator and the tactile feedback actuator to output a signal feedback according to the start signal.

The invention discloses an AI intelligent small robot and an interaction method. The robot comprises a base and a separable robot body, the base is provided with a gear transmission mechanism driven by a first motor, the robot body is provided with a head rotating mechanism driven by a second motor, and left-right head shaking and up-down nodding actions of the head are achieved. The interaction method comprises the steps that environment sound is collected through the microphone, and the AI interaction module carries out voice recognition and generates an action instruction; if the instruction is positive semantics, the head is controlled to nodding, and if the instruction is negative semantics, the head is controlled to shake; meanwhile, colors, brightness and expression icons are dynamically displayed through the LED lamp strip and the display screen according to the interaction state, and visual feedback is achieved. The head is driven to act through voice recognition, dynamic visual response is combined, the vividness of human-computer interaction and the user experience are improved, and the expansibility is enhanced due to the separable design of the robot body and the base.

The invention discloses a blowing desulfurization control system and method based on intelligent feedback and argon sealing protection. The invention discloses a blowing desulfurization control system and method based on intelligent feedback and argon sealing protection, and belongs to the technical field of metal melt refining. The system comprises a casting ladle, a sealing cover with inert gas protection, an injection tank with a partition fluidization structure, a composite long-life spray gun and an intelligent control unit. The method comprises the following steps: establishing an inert atmosphere, sequentially fluidizing powder in a zoning manner, inserting a spray gun, and adjusting the carrier gas flow in real time based on visual feedback to perform injection desulfurization. According to the invention, deep and efficient desulfurization is realized, the desulfurization rate can reach more than 85%, meanwhile, nitrogen increase can be effectively prevented, the service life of the spray gun is remarkably prolonged, and the automation and safety of the whole process are improved.

The invention relates to the technical field of costume design, and discloses a costume design method, system and equipment based on an intelligent agent, and the method comprises the steps: obtaining the costume demands of a user through interaction, obtaining related information through fashion retrieval and version selection, then disassembling the related information into independent costume elements, and establishing sewing interface description; the method comprises the following steps: instantiating geometric information of cut pieces and interface information and then visually displaying, if a user is satisfied, sewing to generate a complete design file and carrying out visual simulation, finally judging whether the user is satisfied with the whole clothes design, if not, returning to the demand acquisition step for redesign, and outputting a result until feedback is satisfied. The costume design method depends on multi-agent cooperation in the whole process, the fuzzy requirement is converted into adjustable specific data, the fashion trend is fit, rapid iteration is achieved through visual feedback, the data collection and cutting piece drawing time of a designer is saved, the design period is shortened, material waste is reduced, and the design accurately matches user preferences.