12 results about "Visual capture" patented technology

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.

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 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 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 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.

The utility model relates to the field of electronic products, in particular to imaging equipment. According to the imaging equipment in the scheme, the equipment body serves as a core carrier, the lens is arranged on the front face of the equipment body, and the lens serves as a visual capturing unit of the equipment and can capture images or video pictures; a display assembly is arranged on the back face of the device body and connected with the device body in a turnover mode through a rotating shaft mechanism. In a conventional use state, the display assembly covers the back of the device body, and the overall appearance is the same as that of a traditional imaging device. When a user has the requirement of using the mirror surface, the mirror surface arranged on the back surface can be exposed outside only through simple overturning operation, so that a convenient mirror viewing function is provided for the user, and rapid switching of equipment functions is realized.

The invention discloses an unmanned aerial vehicle indoor and outdoor seamless connection system based on external active visual guidance and a cooperative control method, and solves the problems of hard light failure, coordinate switching jump and unreliable communication in the prior art. The system comprises an airborne subsystem and a ground guide subsystem, an airborne end is provided with a specific wavelength active cursor and a dual-mode receiving module, and a ground end comprises a visual capture unit with a narrow-band optical filter, a dual-mode transmitting unit and a central processing unit. According to the control method, through outdoor hovering, visual capturing and filtering, coordinate handshaking and dual-mode link grading guiding, stable positioning in a strong light environment, smooth coordinate switching and millimeter-level connection precision are achieved, and indoor and outdoor seamless safe connection of the unmanned aerial vehicle is guaranteed.