147 results about "Video imaging" patented technology

The invention discloses an unmanned aerial vehicle dynamic projection map construction method and system based on spatio-temporal data fusion, and belongs to the technical field of unmanned aerial vehicle video monitoring and geographic scene fusion, and the method comprises the steps: obtaining multi-modal flight data in real time based on an unmanned aerial vehicle, and the multi-modal flight data comprise video image data and spatio-temporal reference data; and performing data preprocessing on the multi-modal flight data to obtain route data. And constructing an unmanned aerial vehicle dynamic projection model, and performing space-time synchronous projection rendering on the route data to obtain an unmanned aerial vehicle dynamic projection map. And constructing a dynamic calibration model, and correcting the dynamic projection map of the unmanned aerial vehicle. According to the method, an integrated dynamic geographic information sensing system is constructed through deep cooperation of a spatio-temporal data fusion framework and an intelligent calculation engine, accurate mapping of the geographic space driven by spatio-temporal reference fusion is realized, millimeter-level space registration capability is constructed through multi-modal data intelligent solution and terrain adaptive rendering, and the real-time dynamic geographic information sensing system is constructed. And a technical breakthrough is formed in the dimensions of accurate positioning, data fusion, real-time response and the like.

1. The name of the design product: projector. 2. The use of the design product: projecting text, patterns and video images. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1.

The invention relates to the technical field of biomedical engineering, and discloses a tumor minimally invasive surgery risk assessment model construction method and system, and the method comprises the steps: recognizing a potential failure mode of a tumor minimally invasive surgery through employing an intra-operative video image and operation process data; calculating a risk priority index of the potential failure mode in the tumor minimally invasive surgery so as to determine a high-risk failure mode of the tumor minimally invasive surgery; setting a grading risk management layer of the tumor minimally invasive surgery by using the risk score and the high-risk failure mode of the patient in the tumor minimally invasive surgery; a failure correlation analysis network of the patient in the tumor minimally invasive surgery is constructed, and a risk prompt unit of the tumor minimally invasive surgery is generated; and constructing a risk assessment model of the tumor minimally invasive surgery in combination with a risk prompt unit, a hierarchical risk management layer and a failure association analysis network. According to the method, the high-risk failure mode can be accurately positioned, and the accuracy and comprehensiveness of model risk assessment are improved.

The application discloses a reactor in-core component core upper plate underwater multifunctional detection device and a positioning method. The detection device comprises an omnidirectional moving chassis and an action mechanism detachably carried on the omnidirectional moving chassis. The action mechanism comprises a video lifting inspection module, a fuel positioning pin verticality inspection module, an in-situ ultrasonic inspection module of the fuel positioning pin and the split pin, and a pin hole emergency inspection module. The detection device is used for video imaging inspection of components in the core upper plate area through the video lifting inspection module, measures the inclination angle of the fuel positioning pin through the fuel positioning pin verticality inspection module, detects defects in the typical failure area of the split pin and potential cracks in the thread area and the light rod area of the fuel positioning pin through the in-situ ultrasonic inspection module of the fuel positioning pin and the split pin, and realizes in-situ emergency inspection of the pin hole of the core upper plate through the pin hole emergency inspection module, thereby solving the industry problem that there is a lack of comprehensive detection means in the core upper plate area.

The invention discloses an LED lamp strip video imaging control method and system based on pixel coordinate mapping, and relates to the technical field of visual image processing. The pixel coordinate mapping-based LED lamp strip video imaging control method comprises the following steps of S1, acquiring geometric structure data and operation performance data of an LED lamp strip, preprocessing the geometric structure data and the operation performance data, and constructing a bending management database; s2, according to geometric structure data of the lamp strip, analyzing a mapping deviation between a pixel coordinate and a physical coordinate in real time; s3, geometric structure data and operation performance data are obtained, and bending light attenuation analysis is carried out; s4, evaluating the thermal load state of the bending area according to the operation performance data and the thermal management data of the LED; and S5, displaying the operation performance data and the abnormal alarm information in real time through an interface, and realizing data closed-loop management and partition operation and maintenance tracing. The problems that the display precision of the bending area of the LED lamp strip is reduced, the brightness and the color are uneven, and the performance of the LED is degraded due to local heat accumulation are solved.

The invention provides an underwater alumen ustum quantitative alarm method, device and equipment based on an AI model and a medium, and relates to the technical field of water treatment and artificial intelligence. According to the method, the collected underwater alumen ustum video image is obtained in real time, the pre-trained AI target recognition model is adopted to perform semantic recognition and segmentation on the underwater alumen ustum video image, the alumen ustum area is extracted, the white noise part is reserved, and the semantic segmentation result is obtained; calculating density features and size features of alumen ustum in the image according to the semantic segmentation result; inputting the density features and the size features into a pre-trained model based on depth nonparametric fuzzy mapping, and classifying the alumen ustum distribution states to obtain alumen ustum state classification results; comparing the alumen ustum state classification result with a preset threshold value, and triggering an alarm if the alumen ustum state classification result exceeds the threshold value. The alumen ustum state can be accurately quantified, real-time alarm and process optimization are realized, and the water treatment efficiency and the automation level are improved.

The invention discloses a wide-spectrum high-resolution hyperspectral video imaging method and device, and the method comprises the steps: carrying out the feature extraction of a plurality of wide-spectrum aliasing wide-spectrum hyperspectral video frames captured by a wide-spectrum hyperspectral sensor in single exposure imaging, and obtaining a hyperspectral output feature; the method comprises the following steps: extracting features for panchromatic video frames of the same scene captured by a panchromatic sensor to obtain panchromatic output features, splicing wide-band spectrum hyperspectral video frames and the panchromatic video frames, and extracting features to obtain space-spectrum features; fusing the hyperspectral output feature, the panchromatic output feature and the space-spectral feature to obtain a final coding feature; the encoded features are decoded to obtain a high resolution hyperspectral video frame. The method aims at recovering spectral information of more wavebands from aliasing spectrums, the problems of spectral aliasing and the like are solved through fusion imaging, and high-resolution hyperspectral videos are obtained.

The invention provides a panoramic fusion and AI change monitoring method and system based on a video image, and belongs to the technical field of computer vision and geographic information processing.The method comprises the steps that firstly, a road network, land data and a double-spectrum video of a target area are obtained, and a double-spectrum panoramic image is generated through cradle head posture correction fusion; secondly, constructing a road network plot topological graph, generating a space risk probability matrix by using a space-time diagram neural network, and generating semantic masks in combination with land categories; then, performing weighted product operation on the risk probability, the semantic mask and the infrared and visible light features of the panorama to generate an enhanced feature matrix; and finally, comparing the characteristic matrixes in historical periods to calculate differential distribution, and locking an area exceeding a threshold value as a target change area, thereby realizing accurate monitoring based on spatial-temporal logic driving. According to the method, adaptive weighted sensing of high-risk area changes can be realized, and the problems of false alarm and missing alarm caused by traditional full-graph unified threshold monitoring are effectively solved.

The invention discloses a tobacco transplanter operation quality detection method based on remote sensing and deep learning, and relates to the technical field of agricultural machinery operation quality detection.The method comprises the following steps that the characteristics of seedling holes and missing planting holes are identified through a target detection model, the target detection model comprises a second-order attention mechanism SOCA module and a SimSPPF module, and the SimSPPF module is used for identifying the characteristics of the seedling holes and the missing planting holes; the second-order attention mechanism SOCA module captures correlation of multi-scale features in video images, the SimSPPF module fuses the multi-scale features, through two times of feature matching and background noise information elimination, seedling holes for effective sowing during operation of the tobacco transplanter are positioned and extracted from video data synchronously obtained during operation of the tobacco transplanter, and the seedling holes are used for seeding. According to the method, the miss-planting rate and efficiency of operation of the tobacco transplanter are tested by calculating the efficiency and miss-planting rate of effective seeding operation of the tobacco transplanter, so that the operation quality of the tobacco transplanter is quantitatively detected while the detection precision of seedling holes and miss-planting holes is improved.

The present application belongs to the technical field of robot control, and specifically discloses a railway inspection robot laser radar anti-collision and remote video linkage control method, aiming to solve the problems of low inspection efficiency, low sensor fusion degree and missing linkage mechanism in industrial scenarios. The method comprises: performing benchmark calibration and entering inspection line data through system initialization and parameter configuration; acquiring point cloud data by high-frequency dynamic scanning using a laser radar, and real-time matching of multi-level early warning thresholds to trigger linkage response; the power control unit executes brake or speed reduction operation according to the instruction, and resets the mode to resume work after confirming safety; the system also archives the full data of linkage events to support continuous optimization of the inspection plan. Through the deep coupling linkage of the laser radar and the video imaging module, the present application can realize all-weather, high-precision and high-safety autonomous operation of the inspection robot in complex high-dynamic environments, significantly improving the inspection efficiency and risk control level.

1. Name of the product subject to this design: Projector (WH10). 2. Purpose of this design: For projecting text, patterns and video images. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application discloses a kind of crowd flow prediction method, device, electronic equipment and nonvolatile storage medium.Therein, the method includes: determining the grid area corresponding to target scenic spot, wherein the grid area includes grid unit, each grid unit corresponds a scenic spot in target scenic spot;According to the video image corresponding to grid unit, determine the crowd space-time parameter of target unit in grid unit in first time period;Using target model, according to crowd space-time parameter, obtain the crowd flow of target unit in second time period, wherein the second time period is the next time period of first time period.This application solves the technical problem that the related art can not specifically predict the crowd flow of each scenic spot in the scenic area when counting the crowd flow of tourists in the scenic area, only based on the data of the entrance guard of the scenic area, resulting in low crowd flow prediction accuracy and poor tourist experience.

1. Name of the product in this design: Projector. 2. Purpose of this design: to project text, patterns, and video images. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention discloses a video imaging adaptive three-dimensional scene synchronous rendering method and system, and relates to the technical field of 3D rendering, and the method comprises the steps: obtaining a rendering performance index of a video, and carrying out the preprocessing of the rendering performance index, and obtaining a rendering performance fluctuation index; dividing a current video scene into a plurality of resource regions, and determining the proportion of a high-density region and the proportion of a detail dense region; detail data are extracted from the synchronous rendering pipeline, and a material transition zone width interval and boundary adjustment parameters are determined; dynamically adjusting the computing resources by adopting a load balanced distribution method; and obtaining the original detail level and texture sampling density in the resource region, performing adaptive adjustment to obtain the optimized detail level and texture sampling density, and generating a balanced image output sequence. According to the method, the stability of the rendering frame rate in the complex dynamic virtual environment, the real consistency of picture details and the overall resource utilization efficiency are improved, and the rendering quality is improved.

Embodiments of the present application provide a motor vehicle parking lot scene map construction method, device and computer readable storage medium, the method comprising: constructing a global map coordinate system with a preset starting point of the parking lot as the coordinate origin, controlling the motor vehicle to drive from the preset starting point to the preset terminal point; in the process of driving the motor vehicle, generating a panoramic overhead view based on the video images collected by each vehicle-mounted camera; obtaining the current position coordinates of the motor vehicle at a predetermined period and constructing a local scene map of the motor vehicle based on the physical coordinates of the predetermined target in the panoramic overhead view; mapping the local scene map constructed in each period in the global map coordinate system according to the current position coordinates obtained in the corresponding period to obtain an initial global scene map; and excluding the repeated physical coordinates of the same predetermined target in the initial global scene map to obtain a target global scene map. The scene map constructed in this embodiment can be used to assist in selecting a parking space and to assist in realizing path planning.

1. The name of the design product: smart projector (Z6 Air). 2. The use of the design product: for projecting text, patterns and video images. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention discloses an ophthalmology video image processing method, device and equipment, and the method comprises the following steps: S100, collecting an ophthalmology video image at a preset frame frequency through an image collection unit, and transmitting each frame of ophthalmology image in the collected ophthalmology video image; s200, performing alignment and registration on the ophthalmological images based on a registration structure determined in a reference frame ophthalmological image to screen the ophthalmological images, and generating a static video image and a dynamic video image based on the screened ophthalmological images; and S300, presenting a static video image and / or a dynamic video image corresponding to a specified position based on the specified position in the reference frame ophthalmic image.

The application relates to the technical field of road network sensing, in particular to a highway sensing integrated system based on Internet of Things. The system comprises a server and various types of road network sensing devices, the road network sensing devices comprise laser radars, millimeter wave radars, high-definition cameras, environment detection units and infrared cameras arranged at intervals, the server comprises a weather identification module, which is used for acquiring video images captured by the high-definition cameras, and judging whether the road environment exists in a severe environment according to the video of the high-definition cameras; a device management module, which is used for controlling the high-definition cameras to be closed and the infrared cameras to be started when the weather identification module judges that the current road environment exists in a severe environment; an environment identification module, which is used for identifying the atmospheric transmittance of the current road according to the data measured by the environment detection unit; and the device management module is further used for controlling the laser radars to be started when the atmospheric transmittance meets preset conditions, and controlling the millimeter wave radars to be started when the atmospheric transmittance does not meet the preset conditions.

The invention discloses an intertidal zone terrain profile extraction method based on time-average video images. The method comprises the following steps: acquiring an intertidal zone continuous video image, and correcting the intertidal zone continuous video image to a plane geographic coordinate system through a coordinate conversion model; establishing single-valued mapping between ground coordinates and image plane coordinates, and back-projecting pixels of the video image to a unified geographic grid; constructing an affine matrix of a single-pixel image column based on single-valued mapping, and embedding a geographic direction vector of a target section into spatial transformation of the image column; intercepting an image column sample of the image at each moment in the video image according to a preset pixel width along the target section direction; identifying the position of a waterline breakpoint in the image column by using a neural network model; and carrying out waterline elevation calculation and the like by referring to a local slope model based on a balanced section. According to the method, the high-frequency characteristics of video monitoring and the priori knowledge of the physical model are fused, so that the efficiency and precision of profile extraction are effectively improved while the data continuity is ensured.

This invention provides a control method, device, and storage medium for a video imaging device on a power transmission line. The method includes: recording a first illuminance of the external environment, the brightness value of the image data, and the first power generation of a photovoltaic solar panel when a camera collects image data of the power transmission line during a first historical time period; querying a second illuminance of the external environment for a future second time period; generating a first temporal feature representing photoelectric conversion based on the first illuminance and the first power generation; generating a second temporal feature representing light shading and uncertainty based on the first illuminance and the brightness value; calculating a second power generation of the photovoltaic solar panel in the second time period based on the first temporal feature, the second temporal feature, the uncertainty, and the second illuminance; and adjusting the operating mode of the video imaging device in the second time period based on the second power generation and the remaining battery power. This embodiment effectively improves the utilization rate of battery power.

The invention discloses a video image configuration method and an operation device. A plurality of video images are obtained. The video images are respectively corresponding to a plurality of targets. Detecting results corresponding to the target objects are obtained; selecting at least one target image from the video images according to the detection result; and generating a final image according to the target image. The final image is used for being presented on a user interface. Therefore, the picture content can be adjusted according to conditions.

The application provides a panoramic fusion and AI change monitoring method and system based on video images, belonging to the technical field of computer vision and geographic information processing. Firstly, the road network, land data and dual-spectrum video of the target area are obtained, and a dual-spectrum panoramic image is generated by using a gimbal attitude correction fusion. Secondly, a road network land block topology graph is constructed, a spatial risk probability matrix is generated by using a space-time graph neural network, and a semantic mask is generated in combination with the land category. Subsequently, the risk probability and the semantic mask are subjected to a weighted product operation with the infrared and visible light features of the panoramic image to generate an enhanced feature matrix. Finally, the difference distribution is calculated by comparing the feature matrix of the historical period, and the area exceeding the threshold value is locked as the target change area, thereby realizing accurate monitoring based on space-time logic driving. The application can realize adaptive weighted perception of high-risk area changes, and effectively solve the false alarm and missed alarm problems caused by traditional full-image unified threshold monitoring.

The invention provides a cigarette smoke diffusion mode identification method and device based on a video image, and the method comprises the steps: collecting the video image of the whole cigarette smoke diffusion process, extracting a smoke diffusion image from the video image, and converting the smoke diffusion image into a gray-scale map; calculating the proportion of the number of pixels corresponding to the smoke area in each grey-scale map to the total number of pixels in the grey-scale map one by one according to the time sequence, and generating time sequence change data of the proportion; identifying a plurality of grey-scale maps corresponding to the peak value from the time sequence change data in combination with the preset number of smoking times of the range hood, and determining the plurality of grey-scale maps as corresponding images of the starting point of each smoking action; respectively taking the image corresponding to the starting point of each suction as a reference, respectively extracting a plurality of target images from the grey-scale map, and orderly arranging the image corresponding to the starting point of each suction and the target images according to a time sequence to form an image sequence capable of representing the dynamic state of smoke diffusion in the corresponding suction process.

1. The name of the design product: projector (T1-1). 2. The use of the design product: for projecting text, patterns and video images. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

1. The name of the design product: projector. 2. The use of the design product: the design product is used for projecting characters, patterns and video images, etc. 3. The design points of the design product: in shape. 4. The picture or photo best indicating the design points: perspective view 1.

The present technology pertains to an image processing device, an image processing method, and a program that make it possible to accurately describe a reflection-based image on a real object in capturing an image displayed on a display device and an image of the real object. The selection unit uses the three-dimensional model to generate a CG image to be displayed on the video wall and captured by the video imaging device. In the CG image, a viewpoint position of a region within a capture range of the video imaging apparatus is different from a viewpoint position of a region outside the capture range. The present technology can be applied to, for example, a PC of a virtual fabrication imaging system including a video imaging device, a video wall on which a CG image captured by the video imaging device is displayed, a PC, a video wall controller, and a depth sensor.

1. The name of the design product: oral video device. 2. The use of the design product: the design product is used for video imaging in oral teaching or oral diagnosis and treatment. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The embodiment of the present application provides a kind of motor vehicle obstacle detection method, device and computer readable storage medium, the method comprises: obtaining original image frame from video image;Original image frame is handled to obtain original correction graph;Original image frame is handled to obtain compensation correction graph, and image compensation model is based on the imaging plane of vehicle-mounted camera, and original correction graph is constructed and obtained according to the minimum principle of gray difference of non-obstacle region pre-calibrated before and after virtual motion of preset virtual motion matrix;The parallax graph of original correction graph and compensation correction graph is calculated, the parallax derivative graph is obtained by derivation to parallax graph, the actual gray mean is calculated, and the reference gray value of each pixel point is calculated according to actual gray mean and parallax derivative graph;And compared actual gray value and corresponding reference gray value, mark out obstacle pixel point and be obstacle.This embodiment can effectively improve the efficiency and accuracy of obstacle detection.

This invention provides a precise feeding decision-making method for shrimp based on multimodal acoustic-visual fusion, belonging to the field of intelligent control technology for aquaculture based on reinforcement learning. First, acoustic signals and video image data generated during shrimp feeding are simultaneously acquired and preprocessed. Then, a cross-modal alignment network is used to jointly represent and learn the acoustic and visual information, constructing a unified multimodal feature representation. Further, a self-supervised learning method is used to model the temporal evolution of shrimp feeding states, obtaining quantifiable feeding state indicators. Finally, these feeding state indicators are used as feedback input, and reinforcement learning is used to construct an adaptive feeding decision-making model, achieving dynamic optimization control of feeding amount and timing. This forms a closed-loop intelligent feeding technology system encompassing perception, representation, understanding, decision-making, and feedback.