641 results about "Three dimensional motion" patented technology

The invention relates to the technical field of data analysis, and discloses a data analysis system for multi-joint exercise rehabilitation monitoring. The system collects three-dimensional motion data, myoelectricity activity signals and spatial position data of multiple joints in real time through a multi-mode sensor array. The system comprises a data acquisition module, a preprocessing module, a space-time analysis module and a result output module. The preprocessing module is used for carrying out noise removal, normalization and feature extraction on the original data; the space-time analysis module constructs a monitoring model based on a graph space-time network, and analyzes space-time characteristics of multi-modal data through dynamic joint relation modeling by adopting an intelligent chip. And the result output module generates a visual report including exercise coordination evaluation, injury risk prediction and rehabilitation progress judgment, and feeds back the visual report to the rehabilitation equipment in real time. Besides, the system also has distributed storage and real-time feedback functions, the accuracy and efficiency of rehabilitation monitoring are improved, and the problems of single data processing and inaccurate spatial-temporal feature capture in the prior art are solved.

The invention relates to steel box girder high-strength bolt operation, in particular to a high-strength bolt automatic tightening machine based on machine vision positioning and a tightening method. The automatic tightening machine for the high-strength bolts is used for automatically tightening the bolts of the steel box girder and comprises a multi-shaft moving support, a tightening assembly and a control unit. The multi-axis moving support achieves plane movement of a steel box girder top plate through a servo-driven moving part, a multi-axis support provides three-dimensional space freedom, and the tightening assembly is driven to accurately adjust the posture. The tightening assembly adopts a double-station design, a first tightening head and a second tightening head which are symmetrically arranged on the two sides synchronously move through a door frame type lifting shaft, the image obtaining set is combined to collect position and posture data of a nut and a screw in real time, and a three-dimensional motion path is generated to guide centering. The control unit coordinates multi-axis motion and torque output based on machine vision feedback, full-process automation of the bolt from recognition, positioning to tightening is achieved, the problems that manual operation is low in efficiency and large in error are solved, and screwing precision and structural reliability are ensured.

The invention relates to the technical field of orchard unmanned vehicles, in particular to an orchard unmanned vehicle intelligent navigation and control method based on multi-sensor fusion, and the method comprises the following steps: S1, global path planning: generating discrete plane path points, and then pre-fitting a prior navigation global path; s2, three-dimensional environment perception: extracting static obstacle and dynamic obstacle information in a working path in real time, detecting and identifying a target obstacle at the same time, and performing sensor information fusion; s3, path tracking control: controlling the orchard unmanned vehicle to run according to a priori navigation global path; and S4, dynamic path optimization: realizing dynamic planning of an obstacle avoidance trajectory, synchronously establishing a trajectory overlap ratio evaluation mechanism, and adjusting a driving mode to avoid the obstacle. According to the invention, the reliability of environment perception and path dynamic adjustment is improved, and the three-dimensional motion control model is constructed, so that the unmanned vehicle can safely and accurately complete autonomous navigation work.

The invention relates to the technical field of unmanned aerial vehicles, and particularly discloses a high-precision small unmanned aerial vehicle real-time tracking method which comprises the steps that a multi-modal sensor array is constructed through a millimeter wave radar, a binocular vision module and an infrared thermal imager, and the multi-modal sensor array is used for collecting three-dimensional motion data of a target object in real time; constructing a fusion tracking model based on improved Kalman filtering by using the collected three-dimensional motion data, dynamically distributing the weight of a multi-source sensor through a convolution attention mechanism, and compensating a motion trail prediction error by using an adaptive noise covariance matrix; through cooperative work of the millimeter wave radar, the binocular vision module and the infrared thermal imager, challenges such as illumination change and target shielding can be effectively handled, three-dimensional motion data of a target object are collected in real time, and the target positioning and tracking precision is improved. Meanwhile, the improved Kalman filtering algorithm is combined with a convolution attention mechanism, so that the weight of the sensor can be dynamically adjusted, and a motion track prediction error is compensated.

The present invention discloses a radar scattering field simulation method for a three-dimensional moving target group combined with a neural network, and belongs to the field of electromagnetic simulation technology. The method of the present invention converts the electromagnetic response of a three-dimensional moving target group into the response of the target when it is distributed at different positions, and extracts the three-dimensional numerical Green's function of the randomly distributed target group in the solution domain by changing the spatial distribution of the target group; the three-dimensional numerical Green's function is split into scattering terms and coupling terms, and the artificial neural network is trained separately; when training the artificial neural network, according to the characteristics of the moving target group, its position distribution and scattering terms / coupling terms are input into the artificial neural network as the main features; the scattering terms and coupling terms output by the artificial neural network model are combined into numerical Green's function terms, which can be applied to integral equations to achieve fast and accurate solution of the scattering field of the three-dimensional moving target group.

The invention relates to the technical field of physical training intellectualization and man-machine interaction, in particular to an interactive physical education method and system based on augmented reality driving, and the method comprises the following steps: S1, collecting three-dimensional motion track data and muscle activation time sequence data; s2, generating kinematic deviation parameters and physiological deviation parameters; s3, generating an AR correction instruction set containing a joint pose correction vector and a muscle activation intensity adjustment suggestion based on the kinematics deviation parameter and the physiology deviation parameter; s4, projecting the AR correction instruction set to the field of view of the trainee in real time through AR display equipment; and S5, generating a physical education efficiency report containing the action precision improvement index and the neuromuscular control optimization scheme. According to the intelligent physical education system, by fusing multi-source motion perception, deviation analysis and AR visual correction, synchronous optimization of motion precision and neuromuscular control ability is realized, and an intelligent physical education system with real-time interaction characteristics is constructed.

The invention relates to the technical field of image and video recognition, in particular to a trajectory tracking method and system based on laser radar and camera fusion perception. The method comprises the following steps: monitoring motion parameters of a target object; when the motion parameter of the target object reaches a preset monitoring threshold value, judging that the target object enters a monitoring state, and recording initial motion planning information; the three-dimensional motion direction information of the target object is obtained through the laser radar, and the two-dimensional dynamic image information of the target object is obtained through the camera. Through a data processing technology, an image processing technology and a video identification technology, three-dimensional motion direction information and a two-dimensional dynamic image of a target object are obtained, space-time correlation is carried out, and target fusion track information is constructed; and the trajectory deviation of the target fusion trajectory information is timely and accurately identified, and dynamic trajectory correction is performed on the trajectory deviation, so that the trajectory tracking accuracy is improved.

The invention relates to an unmanned aerial vehicle detection countering method, which comprises the following steps of: deploying a multi-dimensional sensing network to carry out full-band instantaneous scanning, synchronously acquiring noise characteristics of radio signals, material characteristics of a terahertz wave band and Doppler effect characteristics, mapping to a virtual twinborn body, reconstructing physical parameters, a communication protocol and a behavior mode of a target unmanned aerial vehicle, performing depth comparison by combining a disguise sample library generated by the antagonism generation network, and generating a holographic target file containing a three-dimensional motion vector, an energy feature and a potential threat intention; a target quantum encryption communication link is interfered through a quantum entanglement signal, a controllable plasma cloud cluster is generated, navigation and image transmission signals of the controllable plasma cloud cluster are selectively attenuated, the controllability of the target is judged, and an uncontrollable target is repelled through coded sound waves; and sending a control instruction containing a biological heuristic obstacle avoidance algorithm in stages, and guiding the control instruction to an intelligent recovery cabin. According to the invention, accurate detection, intelligent identification, safe countering and reliable takeover of the unmanned aerial vehicle are realized, and the airspace safety guarantee capability is improved.

The invention discloses a tunnel intelligent primary support construction wet spraying over-consumption analysis method and system, and the method comprises the steps: obtaining spraying track space distribution data through a three-dimensional motion capturing system installed on a spraying unit, and combining a material flow fluctuation curve generated by a dynamic weighing system, constructing a three-dimensional feature tensor comprising a material flow state feature, an injection process feature and an environment interference feature; a theoretical volume of a primary support structure is extracted based on a geological BIM model, surrounding rock back break data obtained by point cloud scanning are fused, a dynamic use amount reference model considering rebound loss is established through fluid mechanics simulation, and a theoretical use amount interval value with a confidence interval is generated. According to the method, the three-dimensional characteristic spectrum and the closed-loop optimization system are constructed by fusing multi-physical-field dynamic data, the problems that dynamic adaptation of geological conditions is not accurate and a multi-factor coupling super-consumption mode cannot be analyzed in wet spraying construction are solved, and dynamic accurate control over the material consumption and explainable diagnosis of super-consumption causes are achieved.

The invention relates to the technical field of laser processing devices, in particular to a device and method for achieving three-dimensional isotropic processing through a rotating slit. The three-dimensional motion platform is used for placing and driving a transparent material to be processed; the slit is provided with a driver to enable the slit to rotate, laser beams emitted by the laser emitting device are subjected to light path adjustment and then pass through the center of the slit to form elliptical light beams, and the elliptical light beams are focused by an objective lens and then are transmitted to the laser receiving device. The three-dimensional isotropic processing of the transparent material is realized by adjusting the rotating speed of the slit and the direct writing speed of the three-dimensional motion platform; according to the invention, the rotatable slit is arranged, a circular Gaussian beam emitted by the laser emitting device passes through the slit to form an elliptical beam, the elliptical beam is rapidly rotated by rapidly rotating the slit, and after the elliptical beam is focused by the objective lens, spatial three-dimensional spherical symmetrical focal field distribution can be obtained in the transparent material, so that three-dimensional isotropic processing is realized.

Some embodiments of a method may include: obtaining a reference 3D Gaussian frame, a camera position C, and a time t; extracting a multi-scale feature for each 3D Gaussian of one or more 3D Gaussians using a neural network block, wherein the multi-scale feature represents multi-scale spatial information about a dynamic object or scene; predicting 3D motion based on the multi-scale features and the time t; predicting a 3D Gaussian frame for time t by manipulating the one or more 3D Gaussians in a spatial domain based on the predicted 3D motion; and outputting the 3D Gaussian frame for time t.

The invention discloses a four-dimensional Gaussian video method and a four-dimensional Gaussian video device combined with motion layering, which realize vivid volume video generation and streaming transmission in a dynamic scene. According to the method, a streaming Gaussian Group (GOG) representation is constructed, the representation reconstructs a dynamic scene by using Gaussian point clouds grouped according to a time sequence, and a two-dimensional segmentation result is promoted to a three-dimensional motion layering in each GOG in combination with a motion layering technology to obtain layering of static points and dynamic points, so that the dynamic scene is reconstructed. And modeling a dynamic portion in the scene by predicting a motion offset of the dynamic point. In addition, the invention provides a self-adaptive static point conversion mechanism for converting static points into dynamic points in motion modeling, so that appearance changes (such as shadow movement and reflection changes) of static objects are effectively processed.

The invention discloses a multi-scene gait monitoring and motion function assessment method and system, a multi-camera cooperation system is deployed in a life scene to accurately identify an identity and extract multi-scene motion features, and an accurate old people gait function assessment scheme is provided through key motion hierarchical modeling, multi-scene data fusion and a risk suppression mechanism. Specifically, 2D human body key points are estimated based on an OpenPose algorithm, and a PoseLifter model is utilized to lift the 2D key points to 3D, so that a three-dimensional motion track of a target is estimated; dynamically adjusting the weights of the face features and the skeleton features during identity recognition according to ambient light; designing an independent long-short-term memory network for different actions to evaluate the motion function score and the fall risk rating of the actions; and designing a risk sensitivity mechanism and fusing multi-scene data to carry out comprehensive scoring. The gait function abnormity of the old people can be found in time, and a basis is provided for health management.

The invention discloses a three-dimensional moving target group radar scattering field simulation method combined with a neural network, and belongs to the technical field of electromagnetic simulation. The method comprises the following steps of: converting electromagnetic response of a three-dimensional moving target group into response of targets distributed at different positions, and extracting a three-dimensional numerical green function of a randomly distributed target group in a solution domain by changing spatial distribution of the target group; splitting the three-dimensional numerical green function into a scattering term and a coupling term, and training an artificial neural network respectively; when the artificial neural network is trained, position distribution and scattering terms / coupling terms of the moving target group are used as main characteristics to be input into the artificial neural network according to the characteristics of the moving target group; scattering terms and coupling terms output by the artificial neural network model are combined into numerical Green function terms which can be suitable for integral equations, and rapid and accurate solving of a three-dimensional moving target group scattering field is achieved.

The invention discloses a data interaction method and system of a handheld tablet personal computer, which are applied to the technical field of man-machine interaction, the method detects the spatial attitude of equipment relative to the gravity direction through a built-in attitude sensor, a screen is intelligently divided into a plurality of interaction areas according to the spatial attitude, and each area is associated with a specific data interaction function. A depth camera is used for acquiring a motion depth image sequence of a finger of a user in a space around equipment in real time, time sequence three-dimensional coordinate information is extracted through an image processing algorithm, and a non-contact three-dimensional motion track is constructed. And performing mode matching on the track and a predefined non-contact gesture library, determining a target area and related functions of user intention interaction, and triggering execution. In the execution process, corresponding perceptual feedback, such as tactile, visual or auditory signals, is transmitted to the user through the multi-mode feedback device. According to the method, intelligent non-contact interaction based on the equipment posture and the user gesture is realized, the intuition and the efficiency of operation are improved, and the user experience is remarkably enhanced.

The invention discloses a scene three-dimensional reconstruction and vector information extraction method and device based on vehicle return data, equipment and a storage medium, and the method comprises the steps: carrying out the preprocessing of a time sequence image returned by a vehicle and corresponding pose data, and obtaining a semantic mask and a camera pose of each frame of image in the time sequence image; based on the semantic mask and the camera pose, performing three-dimensional geometric reconstruction on the static scene area in the time sequence image to obtain a static three-dimensional scene model; a dynamic target is separated from the time sequence image according to the semantic mask, three-dimensional motion modeling and independent three-dimensional reconstruction are carried out on the dynamic target, and a dynamic target three-dimensional model is generated; and generating a dynamic three-dimensional scene model and vector labeling information based on the static three-dimensional scene model and the dynamic target three-dimensional model. According to the method, the limitation of automatic driving shadow mode data is overcome, the three-dimensional reconstruction of the scene and the automatic generation of the true value information are realized, the data acquisition cost is further reduced, and the efficiency of automatic driving research and development is improved.

The invention discloses a self-adaptive mouse control method and device based on an inertial measurement unit and a computer readable storage medium. The method comprises the steps that basic mouse sensitivity adjusting parameters are calculated according to physical mouse sensitivity setting; obtaining original three-dimensional motion data of the inertial measurement unit to generate a standard motion feature flow; selecting parameters from the standard motion feature flow as basic cursor control input based on current human-computer interaction situation information; using the basic sensitivity parameter as an adjusting parameter, and processing the basic cursor control input by applying a preset mapping algorithm corresponding to the current effective sensitivity mapping mode to generate a mouse cursor moving instruction; and matching the standard motion feature flow with a pre-constructed hierarchical motion primitive library to obtain a mouse key instruction. The method has the advantage that the operation efficiency and the user experience of IMU-based mouse control in multiple scenes are improved.

The invention discloses a method, device and equipment for mapping a three-dimensional motion gesture into a key combination and a computer readable storage medium. The method comprises the following steps: generating a standardized motion feature flow according to original three-dimensional motion data collected by an inertial measurement unit; generating a time sequence according to the standardized motion feature flow; generating a letter-direction gesture pairing or individual command based on the gesture set attribution and the time interval according to the sequential sequence; according to the letter-direction gesture pair or the independent command, obtaining a target letter key and direction key combination command identifier or an independent key identifier; and converting the command passing the verification into a target platform input event, injecting the target platform input event, and generating a multi-mode feedback signal. The method for mapping the three-dimensional motion gesture into the key combination has the advantages that continuous gestures are efficiently analyzed, letters and direction keys are intelligently paired, and the method adapts to diversified interactive contexts.

The invention discloses a mouse cursor control method and device based on an inertial measurement unit and a computer readable storage medium. The method comprises the steps that basic mouse sensitivity adjusting parameters are calculated according to physical mouse sensitivity setting; obtaining original three-dimensional motion data of the inertial measurement unit and executing multi-stage preprocessing to generate a standard motion feature flow; selecting parameters from the standard motion feature flow as basic cursor control input based on current human-computer interaction situation information; according to the system detection condition, determining a current effective sensitivity mapping mode in at least two preset sensitivity mapping modes; and using the basic sensitivity parameter as an adjusting parameter, and processing the basic cursor control input by applying a preset mapping algorithm corresponding to the current effective sensitivity mapping mode to generate a mouse cursor moving instruction. The method has the advantage that the operation efficiency and the user experience of the IMU-based cursor control in multiple scenes are improved.

The invention discloses a multi-source cooperative rocker arm-tracked robot composite mechanical structure for earthquake search and rescue, and belongs to the technical field of intelligent rescue equipment. A rocker arm-crawler belt-wheel three-dimensional motion structure system is innovatively designed, a multi-degree-of-freedom rocker arm structure driven by a steering engine is adopted in the middle of the robot, and a double-crawler belt differential driving module driven by a motor is arranged at the bottom of the robot; a swing arm balance wheel set is arranged on the front portion to assist climbing operation. According to the composite structure, a posture stability control algorithm is established through a mass center dynamic model, and intelligent switching of three motion modes of wheel type high-speed maneuvering, crawler belt obstacle crossing and rocker arm climbing can be achieved. Tests show that the structure can enable the robot to stably cross a 100 mm vertical obstacle, good posture stability is kept in unstructured terrains such as gravel and rubble, and meanwhile the environment is sensed through various sensors. Compared with a traditional single motion structure, the multi-dimensional maneuvering ability in the complex post-disaster environment is achieved through mechanical structure innovation, and the terrain adaptability of rescue equipment is effectively improved.

The invention provides a multilayer heterogeneous material ultrafast laser integrated connection method and device, and the method specifically comprises the steps: stacking and fixing a chip bonding pad, a spring pin and quartz glass on a three-dimensional motion platform, and adjusting the platform to enable a laser focal plane to be located at the center of the pin; aiming at the connection of a bonding pad and a pin, high-repetition-frequency ultrafast laser with a high Rayleigh length is obtained through spatial shaping, a two-dimensional galvanometer is used for carrying out spiral line or concentric circular ring scanning to act on the periphery of the pin, metal plasma is excited, molten metal is formed and deposited in a contact hole of the pin and the bonding pad, and the molten metal is continuously accumulated along with reverse heating, so that the metal is formed. Dissimilar metal welding is achieved; aiming at the connection of the pin and the glass, laser penetrates through the quartz glass, plasma is excited on a metal interface, molten metal with increased volume is formed, a material interface gap is filled, and welding from non-optical contact to optical contact is regulated and controlled; and two heterogeneous materials are successfully welded through single scanning until welding of the whole pin array is completed, and efficient integrated packaging is achieved.

The invention provides a precise wound medicine spraying robot control method and system based on a neural network. The method comprises the following steps: receiving operating room environment parameters and wound image information; determining the injection pressure of a robot nozzle according to the operating room environment parameters, and analyzing the wound image information by using a pre-trained neural network to obtain an image analysis result; a pre-trained neural network introduces a multi-scale analysis strategy for the wound area; according to an image analysis result, generating a three-dimensional motion trail of the robot nozzle and moving speeds and spraying angles of the robot nozzle at different positions in the three-dimensional motion trail; and according to the injection pressure of the robot nozzle, the three-dimensional motion track of the robot nozzle and the moving speed of the robot nozzle, a corresponding control instruction is generated, so that the robot nozzle performs corresponding operation according to the control instruction. According to the technical scheme, the accuracy of robot control is improved.

The invention relates to the technical field of trajectory measurement, discloses an underwater riprap particle motion trajectory measurement device and method, and aims to realize high-precision response tracking of stress and motion trajectory of riprap particles around a foundation under dynamic water scouring based on an underwater positioning unit sensing array and a high-frequency sampling particle motion and attitude detection technology. The technical problem that the motion characteristics of a single riprap particle cannot be observed in previous riprap protection research is solved. Through combined measurement of acceleration and angular velocity data collected by the inertial measurement unit and absolute position measured by the radio frequency unit, the three-dimensional motion condition, track and attitude process of a unit space as well as two-dimensional displacement images of a riprap surface and a vertical flow section are accurately reconstructed; and a centimeter-level-precision visual data support and a low-cost research means are provided for foundation scouring and coastal slope protection and riprap protection research, so that the engineering cost is saved.

The invention discloses a method and equipment for realizing mouse and virtual key control based on an inertial measurement unit, and a computer readable storage medium. The method comprises the following steps: acquiring original three-dimensional motion data of the inertial measurement unit to generate a standard motion feature flow; forming screen key layout information according to the screenshot of the current active application program; determining an inferred running state of the current active application program to obtain an effective virtual key set containing function annotations; determining a current effective interaction mode according to the updated human-computer interaction situation information, the updated current application program inference operation state and a user input instruction; and selecting a mapping algorithm to process the standardized motion feature flow according to the currently effective interaction mode to generate at least one of a mouse cursor movement instruction, a mouse key instruction and a virtual key operation instruction. The method has the advantage that the operation efficiency and the user experience of IMU-based mouse control in multiple scenes are improved.

The invention relates to the technical field of three-dimensional analysis, in particular to an oral cavity three-dimensional motion analysis system based on dynamic occlusion scanning. The system comprises an oral cavity occlusion feature extraction module, a dynamic occlusion reconstruction module, an occlusion track smoothing module and an oral cavity motion abnormity identification module, and a multi-view structured light scanner can be used for carrying out image scanning on the oral cavity in the dynamic occlusion process so as to obtain a multi-frame original occlusion image sequence; occlusal feature extraction and three-dimensional occlusal reconstruction are carried out on the multiple frames of original occlusal image sequences to construct corresponding three-dimensional occlusal model sequences; a dynamic occlusion trajectory prediction model is constructed based on the three-dimensional occlusion model sequence, oral cavity three-dimensional motion analysis and occlusion trajectory smoothing filtering processing are carried out, and a smooth three-dimensional occlusion motion trajectory is generated; and performing oral cavity motion abnormity identification according to the smooth three-dimensional occlusion motion track so as to generate an oral cavity occlusion three-dimensional motion abnormity identification result. According to the invention, accurate capture and analysis of three-dimensional motion of the oral cavity can be realized.

The invention discloses a virtual key interaction method, device and equipment based on a three-dimensional motion gesture and a computer readable storage medium. The method comprises the following steps: performing multi-stage signal processing on original three-dimensional motion data acquired from an inertial measurement unit to obtain a standardized motion feature flow; performing dynamic segmentation and gesture intention recognition processing on the standardized motion feature flow to obtain a gesture recognition result; performing visual perception and analysis on the screen display content of the current application program to obtain screen key layout information; performing context association and function analysis processing on the screen key information to obtain an effective virtual key set; performing context-aware-based mapping and validity confirmation on the gesture recognition result and the valid virtual key set to obtain a target virtual key and an associated activation instruction; and performing event generation and execution processing on the target virtual key and the activation instruction. The method has the advantages of dynamically sensing the screen content, intelligently understanding the key function, sensing the mapping by the context and the like.

The invention relates to a VR glasses system for rehabilitation training, and belongs to the technical field of medical rehabilitation. Comprising a VR intelligent glasses module, a dynamic grading virtual scene is generated through a double-OLED display screen, and self-adaptive matching of scene complexity and patient cognitive level is achieved in combination with an eye movement tracking sensor; the multi-language voice interaction module integrates a dialect acoustic model and supports Cantonese, Mongolian and other offline instruction recognition. The three-dimensional motion capture module deploys a 9-axis IMU sensor network, and predicts a fall risk level in real time by using an LSTM time sequence model; the multi-terminal projection feedback module generates a three-dimensional motion thermodynamic diagram and synchronizes the three-dimensional motion thermodynamic diagram to a rehabilitation teacher and family member terminal, and the tactile feedback ground mat module comprises a multi-region pressure sensing array and a pneumatic rigidity unit, simulates mechanical characteristics of an ice surface / sand beach / cobblestone road surface and synchronizes VR scene temperature feedback. Through multi-modal data fusion and dynamic difficulty regulation and control, the training safety and rehabilitation efficiency are remarkably improved, and the method is particularly suitable for personalized rehabilitation training of dialect region patients.

The invention discloses a non-consistency multi-focus unit modification system for laser slicing of transparent materials. The non-consistency multi-focus unit modification system comprises an ultra-short pulse laser, a light beam regulation and control system, a light beam shaping system, a focusing objective lens, a visual positioning system and a high-precision three-dimensional motion platform, a transparent material sample wafer to be sliced is placed on the high-precision three-dimensional motion platform; the ultrashort pulse laser provides picosecond laser beams for the whole system, the laser beams generated by the ultrashort pulse laser are transmitted to the light beam shaping system through the light beam regulation and control system to generate multiple inconsistent laser beams, and the multiple inconsistent laser beams are focused and shrunk through the focusing objective lens to obtain multiple inconsistent focuses. The focus is focused in a transparent material sample wafer on a high-precision three-dimensional motion platform for slicing; wherein the high-precision three-dimensional motion platform realizes the movement of a transparent material sample wafer in x, y and z directions; and the visual positioning system is used for identifying and positioning the transparent material sample. On the premise that the slicing quality is guaranteed, the processing efficiency is remarkably improved.

A system, method and apparatus to automatically perform endotracheal intubation in a patient comprising, inserting a blade inside the upper airway of the patient to retract an anatomical structure; inserting a bending portion and a tube arranged on the bending portion inside the airway of the patient; collecting airway data using at least one imaging sensor arranged on the bending portion; communicating collected airway data to a processing circuitry; predicting an intended path for insertion of the tube and generating control signals using the processing circuitry, wherein the intended path is predicted based on at least one anatomical structure recognized by the processing circuitry using the collected airway data; and communicating the control signals generated by the processing circuitry to at least one actuation unit to actuate the three-dimensional movement of the tube.

The invention discloses a crane collision early warning method and system based on Beidou positioning, and the method comprises the steps: S1, employing the Beidou positioning technology, and obtaining the real-time position information of a crane and obstacles in the surrounding environment; s2, constructing a three-dimensional motion model of the crane and the obstacles according to the real-time position information of the crane and the obstacles in the surrounding environment; s3, according to historical coordinate position information of the crane and obstacles in the surrounding environment in the three-dimensional motion model, a pre-judgment distance value between the crane and the obstacles is determined; and S4, when the pre-judged distance value between the crane and the obstacle is smaller than the pre-warning distance value, corresponding pre-warning prompt is carried out. The position information of the crane and the obstacle is acquired in real time through Beidou positioning, and the position of the target object is predicted in combination with the historical position information, so that the collision accident of the crane can be effectively avoided, the anti-collision safety of the crane is improved, and the method is suitable for further popularization and application.