120 results about "External image" patented technology

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 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 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.

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.

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.

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 application discloses a kind of based on red and yellow LED's car interactive screen image display technology, it is related to car interactive screen technical field, and the core of this technology contains three modules: one is double-channel LED array construction module, to red yellow channel integrated LED as basic unit construction display screen array, synchronous production high heat-conducting substrate and anti-interference signal line, lay hardware foundation;Two are image signal preprocessing and parameter calculation module, after interactive screen starts, receive vehicle external image data, combine vehicle environment and state real-time data, divide functional area and set target brightness, while analyzing the brightness ratio and PWM duty cycle of each LED pixel;Three are dynamic driving display control module, brightness ratio and PWM duty cycle are sent to LED driving chip, it can also analyze scene dynamic adjustment parameter, and based on real-time substrate temperature, current, voltage assess whether to start hardware protection mechanism, realize the cooperation of display, energy saving and hardware protection.

The invention relates to a mapping method and system based on an image acquisition terminal and cleaning equipment with the mapping system. The method comprises the steps of obtaining first collection information in the moving process of the cleaning equipment; the first collection information refers to information collected by a sensor arranged in the cleaning equipment when the cleaning equipment moves; receiving second acquisition information sent by the image acquisition terminal; the second acquisition information refers to an environment image of the cleaning equipment acquired by the image acquisition terminal when the cleaning equipment moves; the image acquisition terminal is independent of the cleaning equipment; and according to the first collection information and the second collection information, generating a corresponding environment map when the cleaning equipment moves. When the cleaning equipment maps, the external image acquisition terminal is combined, the existing hardware of the cleaning equipment does not need to be changed, high-precision positioning of the cleaning equipment can be realized, and the mapping precision of the cleaning equipment is effectively improved.

This application discloses a vehicle A-pillar blind spot display system and method. It acquires a real-time image of the driver's front view from inside the vehicle using an in-vehicle binocular camera, and a data processing module performs eye recognition and positioning on the driver's front view to achieve real-time eye position acquisition. It also acquires real-time images of the outside environment using an external camera, and the data processing module, combined with wide-angle perspective transformation technology, adaptively crops and adjusts the images based on eye positioning. This allows for the acquisition of the A-pillar blind spot image inside the vehicle, where the external image is obscured by the A-pillar. The A-pillar display screen then displays this blind spot image in real-time, achieving complete integration of the blind spot image inside the vehicle with the external scenery.

The present disclosure provides an augmented reality (AR) device for patients with retinitis pigmentosa and macular degeneration comprising a map providing unit, a region setting unit, and a region display unit, wherein the map providing unit sequentially drives a plurality of scanning points included in a display of wearable glasses to provide a scotoma map wherein a user's scotoma is checked according to the user's input signal, the region setting unit sets the user's scotoma region based on the scotoma map; the region display unit displays an external image corresponding to the scotoma region in a display region included in the display.

To provide a vehicle control device capable of shortening a time required until a vehicle stops after abnormality of a driver is detected.SOLUTION: The vehicle control device includes the abnormality detection unit 31 configured to detect the abnormality that has occurred to the driver of the vehicle 10, and the control unit 30 configured to, when the abnormality that has occurred to the driver is detected, alternatively, the determination unit 32 determines whether or not there is an evacuation space within a predetermined range from the current position of the vehicle 10 by recognizing a sign indicating the presence of an evacuation space from an external image obtained by the external camera 2 that captures an image of the surroundings of the vehicle 10. And a control part 33 for controlling the vehicle 10 so that a second deceleration width until the vehicle 10 stops after starting entering operation becomes larger than a first deceleration width of the vehicle 10 until starting the entering operation for making the vehicle 10 enter the evacuation space.SELECTED DRAWING: Figure 3

A control operation representer of a simulation system for a vehicle represents control operation of a travel controller in accordance with vehicle external detection information outputted by a vehicle external detection controller based on a captured vehicle external image. A vehicle behavior calculator calculates behavior of the vehicle in accordance with the control operation. A vehicle external image generator generates a vehicle external image in accordance with the behavior and displays the vehicle external image on a display member. An imaging member captures the vehicle external image displayed, and outputs a captured vehicle external image to the vehicle external detection controller. The vehicle external detection controller operates in a closed loop including these. The travel controller operates, outside the closed loop, in accordance with information generated by the vehicle external detection controller or information equivalent to the information generated by the vehicle external detection controller.

The application discloses a distributed X-ray security inspection machine image judgment system and method. A mode selection unit determines an image judgment mode according to the number of packages passing through an X-ray security inspection machine within a preset time length. In the self-image judgment mode, an image acquisition unit acquires an initial X-ray image sequence, and a local image processing unit processes the initial X-ray image sequence to obtain a pseudo-color X-ray image sequence, and an image judgment display unit obtains an image judgment result. In the hybrid image judgment mode or the external image judgment mode, the image acquisition unit sends a specified initial X-ray image in the initial X-ray image sequence to a cloud image processing unit, the cloud image processing unit processes the received specified initial X-ray image to obtain a pseudo-color X-ray image, and the image judgment display unit obtains the image judgment result. The distributed X-ray security inspection machine image judgment system provided by the application improves the balance of image judgment work, and each X-ray security inspection machine can complete on-demand image judgment, thereby further improving the image judgment efficiency compared with the scheme of centralized personnel image judgment.

The invention provides a building risk assessment method and device based on a large language model, and belongs to the technical field of building safety assessment and artificial intelligence, and the method comprises the steps: carrying out the image quality detection of an external image of a to-be-assessed building, and generating a quality judgment result; based on an image encoder and a language encoder of a multi-modal large language model, identifying the overall state of the building to be evaluated, generating an overall identification result, and based on the image encoder and the language encoder, determining a risk score value of each building safety feature in the building safety feature set; calculating a building safety index according to the risk score value, and performing risk level mapping based on the building safety index to generate a risk level; carrying out confidence calculation to generate a confidence level; and integrating the results into a structured risk assessment report. According to the method, multi-feature and multi-dimensional building safety risk comprehensive assessment is realized, a structured assessment report is generated, and the method has a good practical value.

The application provides a kind of based on deep learning's welding point degradation state analysis method, system and storage medium, the method includes the following steps: the equipment information and welding point external image of multiple sample equipment are collected, and welding point external image set is constructed in combination with equipment information and welding point external image;According to the welding point position information and by welding point slicing method processing welding point position, the welding point internal image of all sample equipment is collected;According to welding point internal image, welding point degradation state set is constructed;Based on neural network model, welding point degradation classification model is constructed;Welding point degradation classification model is trained using welding point external image set and welding point degradation state set;Target welding point image is input into the welding point degradation classification model after training, and the welding point state classification result output by welding point degradation classification model is obtained;According to welding point state classification result, determine the welding point degradation state of the welding point to be measured.The application has the effect that when detecting the welding point degradation of equipment, the detection efficiency is higher and the equipment damage is not caused.

The invention discloses a pneumoperitoneum machine control system, method and equipment and a medium. The system comprises an information acquisition module, an information processing module, an information analysis module and a control module, the information acquisition module is used for acquiring basic information of a target object, and the basic information comprises sign information and abdominal cavity external image information; the information processing module is used for performing data preprocessing on the external image information of the abdominal cavity and performing feature extraction on the preprocessed image information to obtain reference image information; the information analysis module is used for determining a target control parameter according to the sign information of the target object and the reference image information by using an artificial intelligence model; the sending module is used for sending the target control parameters to the pneumoperitoneum machine so that the pneumoperitoneum machine can conduct output adjustment based on the target control parameters. According to the technical scheme, the artificial intelligence model can be used for efficiently and accurately adjusting the output parameters of the pneumoperitoneum machine based on the physical sign information and the abdominal cavity external image information, and the labor cost is reduced while the working efficiency is improved.

To facilitate the use of an imaging element having a high reading speed.SOLUTION: An image signal processing device includes an original image signal reception unit that receives an original image signal including a plurality of frames from an imaging unit, a transmission image signal generation unit that generates a transmission image signal including a smaller number of frames than a number of the plurality of frames included in the original image signal received by the original image signal reception unit with reference to the original image signal, and a transmission image signal transmission unit that transmits the transmission image signal generated by the transmission image signal generation unit to an external image processing circuit via a signal transmission path. In the image signal processing device, the transmission image signal generation unit may generate the transmission image signal by executing noise suppression processing on the original image signal.SELECTED DRAWING: Figure 1

This application discloses a photographing circuit, a photographing method, and an electronic device, and pertains to the field of electronic circuit technologies. The photographing circuit is applied to an electronic device, and includes an external image stabilization chip and at least two camera modules. The external image stabilization chip includes a first image stabilization module, any one of the camera modules includes a motor and a camera driven by the motor, and the first image stabilization module is connected to each motor. The first image stabilization module is configured to: obtain a motion amount of the electronic device, and send a corresponding motion instruction to each target motor based on the motion amount, where a target motor is a motor in a target camera module in an on state. The motor is configured to drive, based on the motion instruction in a case that the motion instruction is received, a corresponding camera to move.

The invention relates to a traffic scene driving information detection system, which comprises a positioning identification mechanism arranged on a bus and used for sending a first identification instruction when the bus is identified to drive in a bus lane based on the positioning information of the bus, when it is identified that the bus does not run in the bus lane based on the positioning information of the bus, a second identification instruction is sent out; and the recording operation part is used for recording violation vehicle information in the to-be-analyzed image area when receiving the private vehicle detection success signal. According to the method and the device, the image region matched with the private vehicle appearance imaging feature can be judged from the content optimization image according to the private vehicle appearance imaging feature to serve as the to-be-analyzed image region, and the to-be-analyzed image region is subjected to pertinent detection based on the private vehicle so as to determine whether a private vehicle detection failure signal is sent or not; therefore, the driving behavior of occupying the bus lane is shocked and deterred.

When conducting routine inspections of stilling ponds, a combination of a first-stage general inspection, a second-stage detailed inspection, and a third-stage precise inspection is used to efficiently collect, identify, and diagnose defects in the bottom slab of stilling ponds in a complex underwater environment. [Solution] The present application provides an intelligent patrol inspection method, apparatus, equipment, and medium for the stilling basin of a high-arch dam, relating to the technical field of underwater exploration. The method of the present application includes the steps of: collecting tomographic images of the bottom slab of the stilling basin with a first acquisition device; performing a first-stage general inspection based on the tomographic images; collecting external images of the bottom slab with a second acquisition device based on the patrol inspection results of the first-stage general inspection; obtaining patrol inspection results of a second-stage detailed inspection based on the external images; collecting fine images of the bottom slab with a third acquisition device based on the patrol inspection results of the second-stage detailed inspection; and obtaining patrol inspection results of a third-stage precision inspection based on the fine images.

The utility model provides intelligent equipment. The intelligent equipment comprises a machine body, a magnetic attraction charging assembly, a camera assembly, a voice assembly and a host. The magnetic attraction charging assembly comprises a magnetic suction cup and a coil structure, the magnetic suction cup is arranged on the outer surface of the machine body, the coil structure is installed in the machine body, and the magnetic attraction charging assembly is used for being connected with mobile equipment and charging the mobile equipment. The camera shooting assembly is installed on the fuselage, partially exposed out of the outer surface of the fuselage and used for obtaining external image information. And the voice assembly is mounted on the machine body and is used for receiving and playing the audio information. The host is arranged in the machine body and electrically connected with the coil structure, the camera shooting assembly and the voice assembly. Thus, the intelligent device can identify and interact with the surrounding environment and the user through the camera shooting assembly and the voice assembly, the intelligent interaction requirement of the user is met, an external mobile device can be connected with the machine body through the magnetic attraction charging assembly, a charging function is provided for the mobile device, function expansion of the device is achieved, and the user experience is improved. And diversified requirements of users are met.

An image processing apparatus capable of allowing a user to visually perceive an image by transmitting external light comprises an imaging unit configured to capture an image of an external world; a region extraction unit configured to extract a specific region from an external-world image acquired by imaging by the imaging unit; a virtual image generation unit configured to generate a virtual image for correcting a vision of a user for the specific region; and a virtual image display unit configured to display the virtual image so as to be superimposed on a region corresponding to the specific region of the transmitted external light, wherein the region extraction unit extracts the subject region as a specific region by detecting a subject region corresponding to a predetermined subject from the external image, and wherein the virtual image generation unit generates a virtual image for correcting the identifiability of the predetermined subject based on pixel information of the specific region and a dark night vision correction coefficient.

The invention discloses a vascular surgery operation navigation image three-dimensional reconstruction processing method, particularly relates to the technical field of medical image navigation, and is used for solving the problem of topological dislocation of internal and external images under stress deformation of a blood vessel in an operation. An initial blood vessel center line is extracted through a preoperative static three-dimensional image, a space skeleton coordinate system is established, an initial mapping reference is formed in combination with a static tube wall grid, a deformed blood vessel center line is extracted according to heterogeneous intraoperative monitoring data, a space displacement vector field is generated, a dynamic tube wall three-dimensional grid is recalculated, and the dynamic tube wall three-dimensional grid is obtained. And mapping two-dimensional intra-cavity tangent plane pixel features to a dynamic inner surface to realize continuous three-dimensional reconstruction and topological alignment of a navigation image.