218 results about "External image" patented technology

The invention relates to an unmanned aerial vehicle control system and method for formation flight in a wind environment. The method comprises the following steps: generating a wind disturbance environment with a specified map scale and containing random obstacles; acquiring external image data and inertial measurement data of the unmanned aerial vehicle, and generating a grid map through point cloud extraction and conversion operation; the method comprises the following steps: modeling a spatial topological structure of an unmanned aerial vehicle cluster by adopting an undirected graph mode, and solving and generating a collision-free initial trajectory by adopting an unconstrained discrete optimization mode; optimizing the initial trajectory by adopting a task redistribution strategy, and re-planning a global target and a local target to obtain a re-planned optimized trajectory; and based on the optimized trajectory, solving by adopting a model prediction control mode to obtain an optimal control quantity for unmanned aerial vehicle bottom layer control so as to correspondingly control the motion state of each unmanned aerial vehicle and realize formation flight. Compared with the prior art, the unmanned aerial vehicle cluster can efficiently and accurately realize formation flight in an obstacle environment with wind influence.

The invention provides an unmanned aerial vehicle commanding and dispatching system and an unmanned aerial vehicle combined inspection method and device. The system comprises a monitoring module, a situation overview module, a commanding and dispatching module, a combined flying module, a task module and an operation analysis module. The monitoring module is used for monitoring the frame outside the nest of the unmanned aerial vehicle and the frame of the unmanned aerial vehicle; the situation overview module is used for browsing a base station list, an unmanned aerial vehicle list, an inspection statistics list, an inspection record list and an operation analysis list to query corresponding information; the commanding and dispatching module is used for switching the base stations, acquiring real-time information corresponding to the base stations, and commanding and controlling the unmanned aerial vehicle based on the real-time information and a predetermined commanding strategy; the combined flying module is used for the plurality of base stations to perform combined inspection through a combined inspection route; the task module is used for displaying an inspection record list and an inspection plan list; and the job analysis module is used for displaying the task list and the result list. According to the mode, display and route planning of multi-base-station unmanned aerial vehicle combined inspection are realized.

Systems and methods for calibrating deformable sensors are disclosed. In one embodiment, a method of calibrating a deformable sensor includes capturing image data of the deformable sensor using an external image sensor, wherein the deformable sensor comprises a deformable membrane defining an enclosure that is configured to be filled with a medium. The method further includes comparing the image data of the deformable sensor to a metric. When the image data does not satisfy the metric, the method includes adjusting a pressure within the enclosure.

A display apparatus transmits a picture acquisition request for getting picture information to an external image apparatus connected through a predetermined interface to the display apparatus from the external image apparatus at predetermined intervals and gets a plurality of pieces of picture information from the external image apparatus to be displayed. The plurality of pictures may be switched at predetermined intervals, for example, to be displayed, so that the plurality of pictures may be displayed in a so-called slide show manner. A plurality of pictures for thumbnail may be produced from the plurality of pieces of picture information and be arranged together to be displayed in one picture screen of a display device.

The invention relates to the field of aircraft external detection, and discloses an all-weather aircraft external defect intelligent detection system based on digital twinning, and the system comprises a multi-modal data collection module which is used for collecting aircraft external multi-modal data, and the multi-modal data comprises aircraft external image data, ultrasonic wave, X-ray and thermal infrared data; the fusion module is used for enabling the multi-modal data to form a unified fusion feature; the defect identification module is used for carrying out aircraft external defect identification based on a defect identification model and the fusion features; and the spatial positioning module is used for mapping the identification result. The unmanned aerial vehicle and the mechanical arm unit are combined, and external images, ultrasonic waves, X-rays and thermal infrared data of the aircraft are rapidly and efficiently collected. The unmanned aerial vehicle unit can cover surface images of a wide area, the mechanical arm unit detects external defects through ultrasonic and X-ray technologies, the defect recognition speed is increased, the system adapts to the complex environment, and the all-weather detection requirement is met.

A medical robotic system and method of operating such comprises taking intraoperative external image data of a patient anatomy, and using that image data to generate a modeling adjustment for a control system of the medical robotic system (e.g., updating anatomic model and / or refining instrument registration), and / or adjust a procedure control aspect (e.g., regulating substance or therapy delivery, improving targeting, and / or tracking performance).

The present application relates to the technical field of electronic devices, and provides a terminal device, used for solving the problem of poor heat dissipation performance and safety of terminal devices. The terminal device provided by the present application comprises a display screen, a middle frame, and a back plate, the middle frame is connected between the display screen and the back plate, and the middle frame and the back plate define an accommodating cavity; the terminal device further comprises a cover plate and a lens assembly, the back plate has an outer plate surface facing away from the display screen, and the cover plate is arranged on the back plate and protrudes from the outer plate surface; the lens assembly is located in the accommodating cavity, the cover plate is provided with a light-transmitting hole, and the lens assembly is used for collecting an external image through the light-transmitting hole; the cover plate has a first outer surface, an included angle is formed between the first outer surface and the outer plate surface, the first outer surface is provided with a plurality of ventilation holes, and the mean ratio of the cross-sectional area to the perimeter of the ventilation holes is smaller than or equal to 0.25 mm. The first outer surface of the cover plate is provided with the plurality of ventilation holes for air circulation, and the cross-sectional dimensions of the ventilation holes are reasonably limited, so that the terminal device can achieve effective balance between heat dissipation performance and safety.

The present invention discloses a vision-based method for estimating the spatial pose of a bionic flapping-wing UAV, which comprises the following steps: obtaining an image training data set; training the image training data set and annotation information using a deep learning detection algorithm; obtaining internal and external parameter information of an image acquisition device, and obtaining flight images of a bionic flapping-wing UAV; testing the flight images of the bionic flapping-wing UAV according to the deep learning detection algorithm to obtain test results of a key point image coordinate system and the wing profile state of the bionic flapping-wing UAV; measuring the three-dimensional coordinates and wing profile states of key points in the coordinate system of the bionic flapping-wing UAV under different wing profile states; and obtaining the spatial position and attitude results of the bionic flapping-wing UAV through calculation. The present invention defines wing profile states according to different flight attitudes, performs calculations after deep learning training and detection, and obtains the spatial position and attitude, thereby solving the problem that the spatial pose of a UAV is difficult to determine through external images due to its complex structure and diverse wing profile states.

The invention discloses a method and system for performing three-dimensional flaw detection on industrial products based on multi-source data, and belongs to the technical field of industrial product flaw detection, and the method comprises the following steps: determining the spatial resolution of a training sample and an ultrasonic flaw detection probe; segmenting the world coordinate system based on the spatial resolution to obtain a three-dimensional space containing a plurality of discrete units; configuring discretized point cloud data in the training sample in a three-dimensional space; assigning the discrete units with the point cloud data as a first type of units, and assigning the discrete units without the point cloud data as a second type of units; obtaining an internal flaw detection model based on the assigned discrete unit; acquiring an external flaw detection model through the external image data of the training sample; determining a to-be-detected workpiece, and inputting the internal point cloud data of the to-be-detected workpiece into the internal flaw detection model to obtain an internal flaw detection result; and inputting the external image data of the to-be-detected workpiece into the external flaw detection model to obtain an external flaw detection result.

The invention provides a defect detection system and a defect detection method for a vertical furnace, which can remarkably improve the detection efficiency, effectively reduce or avoid the problems of missing detection, false detection and consistency caused by human factors, thoroughly eliminate occupational health risks in a severe operation environment, and improve the detection accuracy. Therefore, mechanization and automation of semiconductor vertical furnace defect detection are realized. The defect detection system comprises a walking unit configured to walk along a preset track; the rack is arranged on the walking unit; the supporting rod is arranged on the rack and extends in the first direction; the driving unit is arranged on the rack and connected with the supporting rod, and the driving unit is configured to be capable of driving the supporting rod to move in the first direction and driving the supporting rod to rotate around the axis of the supporting rod; and the image acquisition unit is arranged at the first end of the supporting rod and is used for acquiring a furnace body internal image and a furnace body external image of the vertical furnace.

The invention belongs to the technical field of AR (Augmented Reality) equipment, particularly relates to AR glasses supporting dynamic expansion image acquisition equipment and an implementation method thereof, and aims to solve the problem that the existing Android system AR glasses are poor in compatibility when being externally connected with image acquisition equipment and need to depend on an exclusive SDK (Software Development Kit). An Android operating system is built in the AR glasses, and a Camera service module, a driving application program and a video application program are configured in the system. The Camera service module provides a registration interface and a distribution identifier for the external image acquisition equipment, uniformly manages the built-in and registered external image acquisition equipment and generates an equipment identifier list; the driving application program adapts to the registration interface through protocol conversion, and registration of the external image acquisition equipment is completed; and the video application program obtains the identifier list, and calls the corresponding equipment through the system universal interface based on the selected target identifier. According to the invention, the dynamic expansion of the external equipment is realized, the application development cost is reduced, and the adaptation flexibility and use experience of the AR glasses are improved.

The present invention discloses an image processing system for incremental learning in the field of image processing, comprising the following steps: S1 is an image information input step, in which initial parameters are set for an incremental learning model in the system by inputting external image information into the system; S2 is a preprocessing step using an incremental learning algorithm, in which the input image information can be marked by preprocessing the image information, the incremental learning algorithm model classifies and determines the major content categories of the image information, and separately marks the information areas in the image, and sets the correlation between different information areas, and the preprocessing link can adjust the image color and saturation, thereby making the image part of the information area easier to identify, and the use of an incremental learning algorithm can combine multiple learning logics.

The invention discloses a hyperspectral image classification method based on nonlinear weighted graph convolution and a classification model training method, and belongs to the technical field of hyperspectral remote sensing image classification. The objective of the invention is to solve the problem of poor classification performance of a model caused by insufficient mining of high-dimensional information of a hyperspectral image in an existing hyperspectral image classification method. According to the method, a hyperspectral image is clustered into superpixels, a superpixel feature matrix is generated by utilizing internal image convolution, weights are determined based on superpixel nodes and similarity between adjacent superpixel nodes, and weights of adjacent edges of the superpixels are combined into an adjacent matrix of the whole hyperspectral image; performing local information aggregation on the superpixel feature matrix according to an adjacent matrix by external image convolution, and generating a depth feature matrix based on image convolution processing so as to realize classification; in a classification model training process, a curvature regular strategy and an intrinsic dimension regular strategy are utilized to constrain a nonlinear weighted graph convolution layer, so that manifold local information measurement is more accurate, and interference of redundant information on the model is reduced.

The invention relates to an image processing method and system based on an FPGA chip, and relates to the technical field of image processing, and the method comprises the steps: obtaining an image processing demand; selecting a target image processing algorithm according to the image processing requirement; configuring image data transmission parameters according to the target image processing algorithm; synchronously sending the target image processing algorithm and the image data transmission parameters to a preset FPGA chip to complete function initialization; receiving original image data transmitted by preset external image acquisition equipment; and sending the original image data to a preset FPGA chip for processing, generating processed image data, and forwarding and outputting the processed image data. The method and the device have the effect of improving the timeliness of performing image processing on the large image data.

A wearable device may comprise: a camera; a display; at least one processor comprising processing circuitry; and a memory storing instructions, wherein at least one processor, individually and / or collectively, is configured to execute the instructions and to cause the wearable device to: receive, while a virtual space is displayed on the display, an input requesting display, on the display, of an external object within an external space around the wearable device; identify metadata corresponding to the external object designated by the input; identify a first area regarding movement of the external object, from the metadata based on the identification of the metadata; identify a first image portion of a first image, corresponding to the first area within the first image obtained by the camera; and change a first virtual space, corresponding to the first area within the virtual space and displayed on the display, to the first image portion of the first image.

The application provides a camera, which comprises a light guiding module for receiving external image light and splitting the image light into first light and second light; an image sensing module for receiving the first light and converting the first light into image data; a spectrometer module for receiving the second light and obtaining spectral information of the second light; and a processor electrically connected to the image sensing module and the spectrometer module, for adjusting the image data according to the spectral information, wherein the image data comprises a plurality of pixel data, each of the pixel data comprises light intensity information of three primary color lights, and the processor is used for adjusting the light intensity information corresponding to each of the primary color lights in the pixel data according to the spectral information. The application also provides an image data adjusting method.

The invention provides a cascade artificial vision substitution compensation mechanism and vision auxiliary enhancement equipment, and relates to the technical field of artificial vision enhancement, and the mechanism comprises an equivalent convex lens imaging system and a photoelectric imaging system. The equivalent convex lens imaging system is an ultra-short-focus high-convergence equivalent convex lens imaging system formed by one or a series of optical lenses; the photoelectric imaging system captures external image information in real time through the image acquisition equipment, removes depth-of-field information, generates a focus real image for compensating visual adaptation after focal length optimization, and outputs the focus real image to the display equipment to be displayed in front of the visual field of a user; the equivalent convex lens imaging system serves as a substitution mechanism and is located at the near end of a visual axis, the photoelectric imaging system serves as a compensation imaging mechanism and is located at the far end, and the substitution mechanism and the compensation imaging mechanism are sequentially arranged on a light path in a cascading mode from the near end to the far end to form a cascading structure for compensating visual defects. Visual replacement and compensation are achieved at the near end and the far end respectively, and the visual ability of an amblyopia patient is improved.

The present invention discloses a wireless active display contact lens with privacy and confidentiality and a preparation method thereof. The contact lens includes a privacy optical layer, a wireless transmission circuit and a light-emitting layer, and a focusing optical layer, and is finally wrapped and packaged with contact lens raw materials. The privacy optical layer is inspired by the pinhole imaging principle, and a hole structure is made on an opaque film by laser ablation. According to the pinhole imaging principle, the external image can be imaged onto the retina through the pinhole, but the display content inside the contact lens cannot be completely transmitted to the outside through the pinhole, thereby achieving the goal of displaying content only to the wearer without blocking the line of sight. The focusing light-emitting layer is a photolithographic Fresnel lens that assists in focusing the light emitted by the LED onto the retina to enhance the display effect. The wireless active display contact lens with privacy and confidentiality of the present invention meets the characteristics of high resolution, privacy and confidentiality, and high comfort, and has applicability.

The embodiment of the utility model provides an image acquisition device and intelligent glasses. The image acquisition device comprises a first connector, a camera module and a detection circuit. The first connector is in pluggable connection with a second connector of an external image processing device; the camera module is connected to the first connector through the first interface; one end of the detection circuit is connected to the first connector, and the other end of the detection circuit is used for receiving a constant level signal. According to the embodiment of the invention, the pluggable connection between the camera module and the external image processing device is realized through the switching function of the first connector.

An external image is captured by a first camera system of the vehicle. This external image shows a perspective from the vehicle's mirrors of an external environment outside the vehicle. An internal image is captured by a second camera system of the vehicle. This internal image shows an interior environment inside the vehicle. The internal image is a representation of the digital mirror display inside the vehicle. The digital mirror display is generated based on the external image. A determination is made as to whether the external image matches the image on the digital mirror display. Based on this determination, an image mismatch notification is generated for display on a vehicle display device.

The present disclosure provides a method performed by an HMD device. The method comprises the steps of: identifying a first control target device included in an external image of the HMD device obtained by means of a second camera of the HMD device on the basis of gaze information about a user of the HMD device obtained by means of a first camera of the HMD device; displaying a first graphic element for executing a control function of the first control target device at a position associated with the first control target device; displaying a second graphic element indicating that the first control target device is selected on the basis of selection of the first graphic element, and a third graphic element for executing a control function of a second control target device; displaying a fourth graphic element indicating that the second control target device is selected on the basis of selection of the third graphic element; and displaying a fifth graphic element for executing an integrated control function of the first control target device and the second control target device.

An image adjustment method and an electronic device are disclosed. The method includes the following. An external image is captured through a camera lens to obtain a video stream. The video stream includes multiple first target images. The first target images are sequentially inputted to a first neural network model to perform first color space conversion and resolution enlarging on the first target images by the first neural network model and obtain multiple second target images according to an output of the first neural network model. The second target images are sequentially inputted to a second neural network model to perform second color space conversion on the second target images by the second neural network model and obtain multiple third target images according to an output of the second neural network model.

This application provides a vehicle blind spot target detection method, electronic device, and storage medium. The vehicle blind spot target detection method is applied to a mobile terminal client, which establishes a communication connection with an external image acquisition device connected to the vehicle. The method includes: determining the vehicle's blind spots based on vehicle body parameters and real-time vehicle operating conditions; and performing target detection based on the blind spots and a video stream acquired by the external image acquisition device to obtain risky targets. This eliminates the need for the vehicle's infotainment system to participate in target detection, thus reducing the vehicle's workload and requiring no modifications to the vehicle's central control display, thereby lowering vehicle costs. Furthermore, the mobile terminal automatically processes the video stream, eliminating reliance on manual intervention and ensuring high safety.

The invention discloses a lens picture display method and device, a storage medium and electronic equipment. The method comprises the steps that a picture outside a lens is displayed, the picture outside the lens is a picture presented by a virtual environment in a visual field when a virtual optical lens is in a closed state, the virtual environment comprises at least one blocking element, and the at least one blocking element is in a visual field shielding state in the picture outside the lens; in response to a lens opening operation executed on the virtual optical lens, an in-lens picture is displayed, the in-lens picture is a picture presented by the virtual environment in the visual field when the virtual optical lens is in an opening state, and the at least one blocking element is in a shielding removal state in the in-lens picture. The technical problem that the display efficiency of the lens picture is low is solved.

A medical robotic system and method of operating such comprises taking intraoperative external image data of a patient anatomy, and using that image data to generate a modeling adjustment for a control system of the medical robotic system (e.g., updating anatomic model and / or refining instrument registration), and / or adjust a procedure control aspect (e.g., regulating substance or therapy delivery, improving targeting, and / or tracking performance).

The application discloses a medical image super-resolution reconstruction method and system based on external image fusion, and relates to the field of medical image processing; the core of the application is to introduce an external high-resolution reference image associated with a target low-resolution medical image as an auxiliary information source, to extract multi-scale features of the target and reference images through a multi-branch convolution network, and to design an adaptive feature fusion module; the module is based on an attention mechanism, dynamically generates modulation coefficients and attention weights and other parameters, selectively weights the features of the reference image, and then deeply fuses the features with the features of the target image, to finally reconstruct a high-quality high-resolution image; the application breaks through the limitation of relying only on its own information, fully utilizes external priori, significantly reduces the model parameter quantity, significantly improves the detail fidelity and structural consistency of the reconstructed image, and has excellent clinical practicability and deployment feasibility.

A kind of distributed video splicing device, it is related to video splicing technical field, including with several local input modules of external image device connection, with the management module of several local input modules connection, with the output module of management module connection, with the network streaming media input module of management module connection, output module is connected with external display device, local input module includes with the input interface of external image device connection, with the input conversion chip of input interface electrical connection, with the input FPGA of input conversion chip electrical connection, input FPGA is electrically connected with management module, input conversion chip is used to output RGB signal to input FPGA.The technical scheme provided by the utility model aims to realize integrated design, and can solve the technical problem of network streaming media data processing.

The invention discloses a low-cost laparoscope nasointestinal tube indwelling guiding device. The low-cost laparoscope nasointestinal tube indwelling guiding device comprises a light-emitting unit, a guiding handle and a guiding optical waveguide. The light-emitting unit is composed of a power supply device, a light-emitting body and a light-emitting connector, the power supply device supplies power to the light-emitting body, and the light-emitting connector is in butt joint with the connector of the guide handle. The near end of the guide handle is provided with a plurality of ports used for connecting the light-emitting unit and the injector. The far end of the guide optical waveguide is in a hemispherical head shape and is provided with a luminous point. In a limited space and view under the laparoscope, the functions of visible light spot real-time positioning and dynamic lubrication are integrated into a low-cost device, real-time optical navigation under direct vision of the laparoscope is achieved, external image equipment is not needed, and the method has the advantages of simplicity, accuracy, safety and economical efficiency.

The invention discloses a display screen color accuracy test system and method, and the method comprises the steps: responding to a color accuracy test instruction for a target display screen through a technical scheme provided by the embodiment of the invention; display screen information of the target display screen, environment information of the environment where the target display screen is located and working parameters of external image acquisition equipment are obtained, and meanwhile display content of the target display screen is acquired through the external image acquisition equipment. And determining a first color accuracy influence parameter of the target display screen based on the display screen information and the environment information. And determining a second color accuracy influence parameter of the target display screen based on the display screen information, the environment information and the working parameter. The test score of the target display screen is determined based on the first color accuracy influence parameter, the second color accuracy influence parameter, the display content and the standard color information of the display content, and the accuracy of the test score is high.