37 results about "Visual capture" patented technology

The invention relates to the technical field of parcel sorting, in particular to a parcel detecting and sorting method and system based on machine vision. According to the method, historical parcel motion trajectory data and real-time video information are fused, a category and weight differentiation trajectory model is constructed, sudden offset is captured in combination with computer vision, the trajectory is accurately predicted, and the attitude offset is obtained. The initial fixed parameter of the actuator is dynamically adjusted to be a first action parameter based on the offset, a compensation coefficient is generated through trajectory tracking error verification, and a second action parameter is obtained; meanwhile, friction coefficient changes are calculated through the real-time track and pressure data, a dynamic response coefficient is determined, and finally a multi-sorting-port cooperation instruction is generated to achieve path dynamic distribution. According to the process, through historical and real-time data fusion, dynamic parameter adjustment, closed-loop feedback and multi-system cooperation, the problems of traditional sorting static presetting, parameter blind adjustment, resource allocation imbalance and the like are solved, and the sorting precision, adaptability and efficiency are improved.

The invention relates to the technical field of man-machine collaboration and information processing, discloses an AI processing-based motion capture recognition pre-judgment system, and aims to solve the problems of difficulty in physiological signal monitoring and performance drifting of a myoelectricity intention recognition model in a high-noise environment, and the AI processing-based motion capture recognition pre-judgment system comprises a processing module, a visual capture module, a myoelectricity acquisition module, a bioacoustics acquisition module and an information prompting module, according to the method, myoelectricity and visual information decoding operation intentions are fused, a self-adaptive filter is guided through the intentions, accurate noise suppression is carried out on biological acoustic signals of a target object, and therefore the physiological state risk of the target object is accurately evaluated, meanwhile, an online self-adaptive calibration mechanism is introduced, the actual action of visual recognition serves as a supervision true value, and the accuracy of the physiological state risk of the target object is improved. And the myoelectricity model is continuously calibrated, so that the accuracy of long-term identification is ensured. According to the method, the decoding intention and the physiological risk level are integrated, the composite cooperation instruction is intelligently generated and fed back to the operator, the situation awareness ability of the operator is enhanced, and the safety and efficiency of man-machine cooperation are improved.

The invention discloses an instrument of an intelligent breathing and motion capture system based on six-character table health maintenance, and relates to the technical field of intelligent health maintenance equipment, the instrument comprises a hardware part and a software part; the hardware part comprises a mouth shape visual capture assembly, an action force and angle sensing assembly, an audio acquisition and feedback assembly and a main control and power supply assembly; the software part comprises a data acquisition module, a signal preprocessing module, a parameter analysis and judgment module, a real-time feedback module and a data storage and management module; according to the invention, through integration of the mouth-shaped visual capture assembly, the action force and angle sensing assembly, the audio acquisition and feedback assembly and the master control and power supply assembly, synchronous acquisition and processing of multi-source data are realized; the mouth shape change, the body movement and the audio pronunciation of the user can be accurately captured in real time, and powerful technical support is provided for standardized practice of six-character table health maintenance.

The invention discloses a digital human live broadcast microphone connection and video generation method based on computer vision, and belongs to the technical field of artificial intelligence, and the method comprises the following steps: 1, real-time vision capture and action expression driving: employing a computer vision tool to carry out face key point detection, facial feature points of lips, eyes and the like of a live anchor or a microphone-connected guest are accurately captured; and then a voice conversion model is matched, microphone-connected audio features and lip key point movement are bound, precise synchronization of the sound and the lip is achieved, and for limb actions, limb joint data can be collected through a monocular camera in combination with a posture estimation algorithm or a simple action capture device and mapped to a digital human skeleton model. According to the digital human live broadcast microphone connection and video generation method based on computer vision, through multi-dimensional technical innovation and systematic design, the problems of insufficient sense of reality, interaction lagging, poor scene adaptability and the like existing in current digital human application are effectively solved.

The application discloses a kind of visual laminating machine, including rack, perspective laminating part, inlet and outlet part, vacuum pump part, vacuum pipeline part, visual capture part, display and electrical control system, perspective laminating part and inlet and outlet part are spaced apart along horizontal direction and are installed on rack and head and tail link;Vacuum pump part is placed in the inside of rack and is located below inlet and outlet part;Vacuum pipeline part is installed in the inside of rack and is located below perspective laminating part, and vacuum pump part is connected with perspective laminating part by vacuum pipeline part and is communicated;Visual capture part is installed on rack and is aligned with perspective laminating part below it;Display is installed on the outside of rack, and visual capture part is electrically connected with display.The application is realized real-time visual monitoring of laminating whole process by the cooperation of visual capture part and perspective upper box, makes process from black box into transparent controllable, quality defect can be found in time and intervened, so as to effectively improve product yield, shorten process verification period, reduce resource waste.

The invention discloses a real-time pair practice training system and method based on a multi-modal large model, and relates to the technical field of large model pair practice. A multi-source sensor array comprising a visual capturing module, an auditory processing module and an action sensing module is deployed, and space-time synchronization of sensor data is realized by using a multi-modal alignment engine; generating a visual space-time vector reflecting a facial dynamic state and a limb time sequence rule; generating a fundamental frequency of the voice signal and an auditory feature vector of formant dynamic change; and generating a pressure sensitive feature vector fusing the hand motion trail and the contact force data. And carrying out weighted fusion on the feature vectors, calculating a comprehensive behavior evaluation index, comparing the comprehensive behavior evaluation index with a preset positive threshold value and a preset negative threshold value, and judging a user behavior state. And calculating a prediction error according to the actual state feedback of the user, and adjusting a positive threshold and a negative threshold in real time by using a dynamic threshold learning updating mechanism to realize adaptive optimization of an evaluation standard.

The invention relates to the technical field of computer vision, and discloses a music playing posture real-time reminding system based on visual capture, which solves the problem that the position of a camera is difficult to flexibly adjust according to different musical instrument types, player heights and training key points at present, and comprises a base, and a bracket is fixedly mounted at the bottom of the base; a first adjusting mechanism is arranged at the top of the base, a second adjusting mechanism is arranged on the first adjusting mechanism, the first adjusting mechanism comprises a screw fixed to the top of the base, a lifting cylinder is arranged on the outer side of the screw, a top plate is fixedly connected to the top end of the lifting cylinder, two guide rods are symmetrically and fixedly connected to the bottom of the top plate, and two guide holes are symmetrically formed in the top end of the screw. The two guide rods are inserted into the two guide holes correspondingly, and a driving motor is fixedly installed at the top of the top plate. According to the invention, the height of the camera can be conveniently adjusted, so that the position of the camera can be flexibly adjusted according to different musical instrument types, heights of players and training key points.

The application provides a humanoid robot facial expression mapping and calibration method, the facial expression mapping method constructs a self-supervised discrete expression data set, trains a multilayer perceptron model based on the data set, realizes preliminary mapping from expression parameters to rudder control signals, extracts expression parameters in a real person expression data set, generates robot rudder control signals through the model, constructs a self-supervised time sequence expression data set based on a redirection method, trains a long short-term memory network model, and realizes time sequence mapping of continuous expressions. The facial expression calibration method uses a visual capture device to obtain robot facial expression parameters in real time, gradually optimizes the rudder control signal, and makes the expression parameter response approach the target value. Through data-driven modeling and visual feedback optimization, the application realizes high-fidelity mapping from semantic expression parameters to multi-rudder collaborative control and systematic calibration, effectively improving the naturalness, accuracy and long-term stability of the robot facial expression.

The application provides a residual visual capture evaluation method, device, medium and program product, and relates to the field of ophthalmic detection. The method sets a fixation point in a virtual scene to focus the user's visual field; monitors the user's interactive operation on the virtual scene, controls a first line segment to appear from a first direction of the virtual scene when the interactive operation is detected, and the first line segment moves from the first direction along a direction opposite to the first direction at a first speed; when the first line segment breaks or recovers during movement along the movement path at the current position, the interactive operation for the respective current position when the break or recovery occurs is monitored and responded to, and the current position data of the first line segment is recorded. The method and device of the application are simple to operate, strong in portability, and do not require a visual field detection device and method assisted by professionals, so that the detector can independently and conveniently perform visual field detection, and the demand for visual field detection at the community screening level can be fully met.

The invention relates to the technical field of visual capture, in particular to an intelligent autonomous navigation and positioning system with a body based on machine vision. The system comprises an obstacle avoidance route state analysis module and a state evaluation module. According to the invention, an obstacle avoidance route action sequence is formulated through an obstacle avoidance route state analysis module, a corresponding obstacle avoidance route is allocated according to the movement sequence of the transportation equipment, information collection is carried out by utilizing the transportation equipment to actually pass through the obstacle avoidance route, and the obstacle avoidance state corresponding to the transportation equipment acting on each obstacle avoidance route is collected; and the state component evaluation module is matched with the obstacle avoidance state of the obstacle avoidance route to evaluate the state component corresponding to the obstacle avoidance route, and the obstacle avoidance route is selected through the state component so as to adapt to the type of transported goods of actual transportation equipment, match the obstacle avoidance route meeting the actual demand for different types of transported goods, and improve the adaptation effect of the obstacle avoidance route.

The present application relates to the technical field of video monitoring, and discloses a camera cooperative monitoring method and system based on multi-modal perception, which comprises detecting abnormal event signals in the environment through a non-vision sensor node, triggering camera activation and visual capture of a target area; the camera performs relay tracking based on target feature matching to generate a continuous motion trajectory; multi-view cooperative shielding is performed on privacy-sensitive information in the tracking target to generate desensitized monitoring data and upload the same; camera energy consumption is optimized during a non-event triggering period, and a behavior recognition model is updated based on the desensitized data. The method solves the contradiction between privacy protection and monitoring efficiency, realizes cross-region model evolution and energy consumption reduction, and systematically avoids the problems of traditional monitoring response lag, data redundancy, privacy leakage and high energy consumption.

The application relates to the computer technical field and discloses a steel structure intelligent visual defect detection method and system, aiming to solve the technical problem that it is difficult to find hidden defects such as closed micro-cracks by simply relying on visual detection means in the prior art. The method comprises the following steps: performing sweep excitation of a specific frequency range on a steel structure to make the defect area produce a micro-vibration response; using a high-frame-rate industrial camera combined with Lagrange video amplification technology to capture the sub-pixel level vibration amplitude; and outputting a defect detection report based on a support vector machine classifier. The system comprises an acoustic vibration excitation module, a high-frame-rate visual capture module, a cross-modal fusion analysis module and a defect detection report output module. By combining acoustic vibration excitation and visual capture, the application can effectively activate and detect hidden defects, realize non-contact, rapid, high-sensitivity intelligent defect identification, and significantly improve the detection accuracy and reliability.

The application provides a human action visual capture and evaluation method and system, wherein the method comprises: performing video frame decomposition on a human action video to obtain a plurality of single-frame images; using a first Visual Transformer model to detect each single-frame image to obtain the 2D human joint position of each single-frame image; generating the 2D human skeleton corresponding to each single-frame image according to the 2D human joint position of each single-frame image; using a Transformer decoder to process the 2D human skeleton corresponding to each single-frame image to obtain the 3D human posture data corresponding to each single-frame image; obtaining the 3D human model corresponding to each single-frame image according to the 3D human posture data; and comparing the 3D human model corresponding to each single-frame image with a set standard action to obtain a human action score. The application can improve the accuracy of human action evaluation.

The invention discloses a sea rescue system which comprises a flying disc type life buoy and a life buoy catching device, the flying disc type life buoy comprises an annular floating body and a water-soluble film system, and the water-soluble film system wraps the whole annular floating body; the water-soluble film system is provided with an inflation inlet in the range of the inner ring of the annular floating body, and the longitudinal section of the annular floating body is composed of two wing-like sections in mirror symmetry; and the life buoy capturing device is used for pulling back the life buoy. According to the sea rescue system provided by the invention, the life buoy adopts an asymmetric section structure and a water-soluble film system, so that efficient remote accurate throwing is realized, the aircraft system quickly positions the position of the life buoy through the visual capture system, the mooring rope is brought to the position of the life buoy, and the winch quickly tows the life buoy and personnel to a ship; rapid and long-distance rescue of the ship is achieved, rescue cost is reduced, and rescue efficiency is improved.

This invention relates to a system and method for constructing a multimodal human behavior perception dataset based on CSI (Computer-Sensitive Interface). The system includes a wireless sensing subsystem for acquiring first CSI data packets of the human body, a visual capture subsystem for acquiring first RGB video, first depth video, second RGB video, and second depth video, a Linux-based central control unit, and a multimodal post-processing unit for cleaning and enhancing 3D skeletal joint data, denoising and extracting features from CSI data, and generating hierarchical natural language text descriptions. This invention constructs a large-scale, multidimensional, high-fidelity human behavior perception dataset acquisition system by deeply integrating high-frequency, fine-grained wireless signals with visual and semantic ground truth, ensuring the logical coupling of high-dimensional CSI signals and visual data.

The invention relates to a medical image segmentation method based on edge enhancement and multi-feature fusion. The method comprises the following steps: extracting multi-scale local features of an image through an encoder; in an edge enhancement module of a bottleneck layer, boundary information under a global view angle is captured in combination with differential convolution and visual MLP, so that accurate transmission of edge details in low-layer features is ensured; meanwhile, through a multi-feature fusion module embedded in jump connection, high-level semantics and low-level details are integrated, mask information is introduced to assist feature alignment, and the local structure and the overall context of the image are considered; then, the decoder gradually recovers the spatial resolution and strengthens the boundary feature response. The method can generate an accurate segmentation mask, effectively reduces the interference of a complex background on a segmentation result, improves the segmentation precision of an algorithm on a focus region, can effectively cope with the challenges of blurred tissue edges, focus scale change and the like in a medical image, remarkably inhibits background noise interference, and improves the segmentation accuracy. Therefore, the segmentation precision and the boundary fitting degree are better.

The invention discloses a medical visual capture compass demand interaction system, and relates to the technical field of medical instrument interaction.According to the medical visual capture compass demand interaction system, a visual display module is arranged to display a virtual display interface set by a medical staff terminal so as to display the demand of a patient; customized labeling is carried out through setting buttons of a virtual display interface according to the requirements of the patient, nursing medical workers are assisted in achieving dynamic updating of the requirements of the patient, and intelligent visual requirement interaction of the patient, a machine, the medical workers (doctors) and the patient is achieved through setting of a dynamic capture module; and the communication interaction of the patient under the conditions of inconvenience in body movement and unclear oral language is improved, and the medical care efficiency is improved.

The invention discloses a motion detection method for an underwater building structure, and provides the following scheme aiming at the problem of inconvenient manual detection in the prior art: the motion detection method comprises the following steps: S1, cleaning a building by using a cleaning handle, and removing attachments adhered to the underwater of a wharf; s2, a plurality of marker groups are fixed to the surface of the underwater building structure, and each marker group is composed of a plurality of mark points arranged in an array; s3, performing visual capture on the same building structure from different directions by adopting a plurality of visual capture devices, detecting different parts and different types of damages of a wharf by adopting different carriers and technologies, and performing large-range scanning by adopting an aerial detection module carrying a 3D laser scanner for overall deformation and deviation of an overwater structure part, obtaining point cloud data; an aerial module is adopted to carry a high-definition camera to carry out close-range imaging on a water panel structure crack part.

The application discloses a kind of intelligent pet washing machine based on multi-modal perception, to solve the problem of missing and false alarm in washing and protecting.The machine includes cleaning cabin main body, multi-dimensional perception modal construction unit, edge computing control architecture and hierarchical safety response execution mechanism.Through visual capture expression posture, combined with acoustic sensing based on voiceprint analysis, multi-modal fusion decision is realized using dynamic weight distribution mechanism.When the evaluation score is over standard, trigger the physical escape program composed of torsion spring, electromagnetic release lock and hydraulic damper to open the cabin door in seconds.The application solves the problem of sensor failure in complex environment, and significantly improves the safety guarantee and recognition robustness of pet washing and protection through software warning and mechanical closed loop.

The application discloses a kind of cerebral apoplexy rehabilitation training action standard degree real-time monitoring device, the device is by integrating inertial measurement, surface myoelectricity and visual capture module, the multimodal data of patient movement is synchronously collected, and by the real-time fusion analysis of deep learning model in edge computing unit, dynamic compare for preset standard action template, to accurately quantify joint range of motion, motion trajectory, muscle activation timing and posture stability Key indicators, such as, and provide immediate error correction guidance and compliance score through audiovisual feedback module;The application realizes high-precision monitoring of rehabilitation action full-dimension and objectification by the real-time closed loop constructed, effectively solves the problem that traditional method relies on subjective experience and feedback delay, greatly improves the standardization level of rehabilitation training and neural remodeling efficiency, provides intelligent technical support for clinical and home rehabilitation.

The invention provides an online visual continuous capturing device for diesel engine abrasion abrasive particles and an abrasion feature extraction method. The online visual continuous capturing device comprises an oil-gas separator, a direct-current deposition electromagnet, a three-way valve, a direct-current spectrum electromagnet, a micro camera, a light supplementing lamp, a micro metering pump, a micro processor, an electromagnetic driving module and a CCD driving module. Comprising the following steps: carrying out online map noise reduction; carrying out image binarization; extracting abrasive particle concentration; evaluating the abrasive particle concentration; enhancing the contrast of the original image; particle contour calculation; segmenting particles; and carrying out typical abrasive particle finishing. The method has the beneficial effects that the online continuous rapid spectrum making and detection method under multi-model and multi-scene conditions is constructed, the requirement for rapid capture of diesel engine abrasion abrasive particles is met, a reliable analysis means is provided for determining abnormal working parts based on typical abrasive particles, and meanwhile, the requirement for determining the working state by a diesel engine operator is met. A continuous wear intensity indicator and an anomalous abrasive characteristic indicator are provided.

The application provides a flexible deformable part visual tracking and robot pose control method, and belongs to the field of robot vision and automatic assembly. First, an ASLIC superpixel segmentation algorithm is proposed by fusing edge perception, adaptive compactness and adaptive grid step, and combined with feature fusion and global topology constraint optimization path search, a two-dimensional center line is accurately extracted. Secondly, a three-dimensional pose structured representation is constructed by projection error compensation and adaptive cylindrical constraint. Finally, in the deformation control stage, the stiffness decreasing mechanism is revealed, the bending and torsion deformation is decoupled based on the parallel transmission of the Frenet moving frame, and the torsion angle is estimated, and finally a bending and torsion coupled total potential energy model is constructed, the pose prediction is converted into a nonlinear optimization problem, and through a hierarchical controller, the position and torsion of the flexible deformable part under the robot control are cooperatively and high-precision closed-loop controlled. The application can realize stable visual capture, accurate three-dimensional reconstruction and bending and torsion cooperative control of the flexible deformable part.

The application discloses a kind of multimodal teaching device for foreign language teaching, it is related to teaching auxiliary equipment technical field, including visual acquisition component, mechanical arm component and parabolic sound collector, the visual acquisition component is installed in the U type main support, for capturing the image modal information of student;The mechanical arm component is connected with the center support column or the U type main support;The parabolic sound collector is arranged at the end of the mechanical arm component, and the speech signal collection of long-distance, high directivity is realized by the reflection and collection principle of parabolic surface, the stable horizontal rotation of device is realized by the cooperation of the through type center support column and external driving motor, the visual acquisition component has multi-axis fine adjustment function, cooperates the directional pickup technology of parabolic sound collector, can synchronously obtain high-quality visual and auditory multimodal data, effectively solve the problem that environmental noise interference is large in classroom environment, visual capture is not accurate.

The invention relates to a holding device (10) for a mobile device (12), in particular a smartphone, for installation in an interior (14) of a motor vehicle, with at least one mechanical adjustment device (16) for aligning the mobile device (12) received in the holding device (10), wherein the holding device (10) has a holding element (26) in which the mobile device (12) is detachably received, and wherein the holding element (26) is adjustable by means of the adjustment device (16), wherein a control device (18) is arranged which is coupled to at least one sensor device (20, 22) provided in the motor vehicle, wherein the control device (18) controls the adjustment device (16) such that the mobile device (12) is aligned depending on the sensor signals of the at least one sensor device (20, 22).wherein, when using a camera (12a) of the mobile device (12), a visual capture of a user (24) for image communication, preferably a video call, is at least partially automatically adjustable.

The present application relates to a kind of non-look at under multi-camera online calibration method, belong to camera calibration technical field.The present application first obtains the real-time pose of each camera under respective calibration board system by means of calibration board, then the real-time pose of rigid body fixed with camera is obtained using visual capture system, after the synchronous alignment of the pose data obtained, the pose transformation matrix between each camera and rigid body is calculated, and then the pose transformation matrix between each camera is calculated.The present application does not need to exist look at between camera, does not need to use complex auxiliary equipment, just using calibration board and visual capture system, the external parameter of multi-camera can be obtained in real time, the automatic high-precision online real-time calibration of multi-camera is realized, the problem of low efficiency and low accuracy of multi-camera calibration under non-look at is solved, and the efficiency and precision of multi-camera calibration under non-look at are improved.

The invention discloses a device positioning method, a detection device, a receiving device and a storage medium, and relates to the technical field of device positioning, and the device positioning method comprises the steps that a positioning signal is sent in response to a device positioning request, so that the receiving device of the positioning signal executes an energy radiation action; acquiring an environment image, and identifying preset feature pixels in the environment image; and outputting position prompt information of the receiving equipment corresponding to the preset feature pixel. Characteristics capable of being visually captured are output in an energy radiation mode, an accurate corresponding relation between a positioning signal and the actual position of the receiving equipment is established based on an image recognition mode, the conditions of fuzzy position pointing and confusion with the environment background in the positioning process are avoided, the positioning intuition and reliability of the receiving equipment are improved, and the positioning accuracy is improved. And the user can quickly lock the position of the receiving equipment based on the position prompt information.

The invention provides an expression base generation and hybrid driving method and system based on topological consistency and sparse constraint. The method comprises the following steps: constructing a source template of an ARKit standard expression semantic hybrid shape; based on sparse key point guidance, wrapping the source template to the surface of the cartoon role three-dimensional model by using a non-rigid registration technology to realize topology consistency reconstruction; on the basis of a deformation migration technology, constructing an energy function containing key point constraint terms, solving and generating a whole set of expression bases of the target role, and performing set correction on a specific region in combination with radial basis function interpolation; a mixed shape coefficient of an input video is obtained through a visual capture module, and after time sequence smoothing processing, a final driving coefficient is obtained to drive a virtual character. According to the method, the problems of high difficulty and long time consumption of constructing a cartoon role expression base in a traditional method are effectively solved, low-cost and high-efficiency cartoon image real-time driving is realized, and the method is suitable for virtual live broadcast and meta-universe interaction scenes.

The invention relates to the technical field of environmental monitoring, and discloses a wastewater quality analysis method and system based on machine vision. The method comprises the following steps: acquiring a flow state sequence image of wastewater flowing through a perturbation structure; extracting Karman vortex street geometric dynamic characteristics; constructing a physical evolution model to quantify the viscosity coefficient and the surface tension fluctuation; and constructing a mapping model by using a deep learning network and inverting chemical component concentration information. The system is composed of an image acquisition module, a feature extraction module, a physical modeling module and a component inversion module. According to the method, physical rheological characteristics are combined with visual capture, so that the chemical component concentration is inversed by utilizing a flow state evolution rule, the limitation that only colors can be identified by vision is broken through, and the detection precision and early warning capability of colorless and high-transparency pollutants are improved.

The utility model relates to the technical field of visual inspection, and discloses a visual inspection all-in-one machine which comprises a table top, a second motor is fixedly connected to the position, close to the middle, of the left side of the top of the table top, the output end of the second motor is fixedly connected with a first bevel gear, and the outer wall of the first bevel gear is connected with a second bevel gear in an engaged mode. A small gear is fixedly connected to the top of the inner wall of the second bevel gear, an outer gear is connected to the outer wall of the small gear in a meshed mode, a groove is formed in the position, close to the edge, of the bottom of the outer gear, a base plate is fixedly connected to the top of the outer gear, and a third motor is fixedly connected to the rear end of the top of the base plate. According to the utility model, the motor II is started to drive the pinion and the outer gear to rotate and then drive the chassis to rotate, and meanwhile, the motor III is started to drive the rotating rod I and the chassis to jump up and down, so that the effect of dead-angle-free visual capture can be realized by adjusting the angle and the height during visual capture.

The invention provides a deep underground adjacent human settlement space ecological landscape partition system and a construction method thereof. The system comprises a living space and an adjacent ecological landscape partition space which are separated by a partition wall; a U-shaped wall foundation containing a planting soil layer is arranged at the bottom of the ecological landscape partition space, and a natural rainfall device for simulating rainfall and a dynamic lighting device for simulating sunlight rhythm are arranged at the upper part of the ecological landscape partition space; one side of the partition wall is provided with a window, and the other side is provided with a dynamic parallax compensation module and a depth-of-field expansion module; the dynamic parallax compensation module forms image blurring in a non-focus area of human eyes through a visual capture and self-adaptive display technology, and simulates dynamic parallax; the depth-of-field expansion module extends the landscape view through mirror reflection; a dynamic landscape window scene with the depth feeling is built in the closed underground space, the living body ecological microclimate capable of being self-maintained is built, the psychological comfort level of personnel and the plant growth requirements are synchronously met, and the closed repression feeling of the deep underground environment is effectively improved.