50 results about "Close-up" patented technology

The embodiment of the invention provides an operation scene monitoring method and system based on panoramic stitching and holder linkage, and belongs to the technical field of video monitoring. The method comprises the following steps: respectively acquiring real-time panoramic video data and historical video data of an operation scene and a partial discharge signal of high-voltage electrical equipment; simulating electrical disease characteristics of the high-voltage electrical equipment based on the partial discharge signals and the environmental parameters of the real-time panoramic video data; obtaining work prediction information of the real-time panoramic video based on the historical video data and the electrical disease features; calculating deviation information of a real-time panoramic video according to the operation prediction information and the real-time panoramic video data; positioning a risk target area of the operation scene based on the deviation information, and determining a risk early warning signal of the operation scene for the deviation information based on a preset risk rule base; and issuing the risk early warning signal to a pan-tilt camera of the operation scene, and monitoring a close-up monitoring picture of the risk target area in real time. According to the invention, the risk handling efficiency of operation scene monitoring can be improved.

The invention relates to a logistics packaging video tracing system and method based on data fusion, and relates to the technical field of video monitoring and logistics management. The system comprises a camera module, a coding processing unit, an external data acquisition device and an infrared positioning unit. The coding processing unit receives logistics information of a code scanning gun or an electronic scale, displays the logistics information in a video picture through a character superimposition technology, and establishes a video database by taking a logistics order number as an index; the camera module adopts a binocular or multi-ocular lens and is provided with an infrared positioning unit, when a code scanning signal is received, an infrared light target is used for assisting in positioning, and digital optical hybrid zooming from a wide angle to close-up is triggered. According to the method, automatic zooming, automatic segmented video recording and infrared auxiliary positioning are triggered through code scanning, so that the problems of unclear express sheet information, difficulty in searching and tedious operation of the logistics video in the prior art are solved, and deep binding and quick retrieval of the video and the logistics data are realized.

The invention discloses a target tracking method, electronic equipment and a storage medium. A panoramic image of a current application scene is collected by a first camera, a plurality of candidate targets in the scene are obtained through target detection, and a to-be-tracked target is automatically determined in combination with a recognition result of interaction actions of the candidate targets; and mapping the position of the to-be-tracked target in the panoramic image to a shooting coordinate system of the close-up camera based on double-shooting calibration information between the first camera and the second camera, driving the close-up camera to actively adjust the shooting direction, enabling the to-be-tracked target to quickly enter a shooting view field of the to-be-tracked target, and executing target tracking on the basis. According to the invention, the interaction target can be accurately selected from the panoramic view angle and can be stably and quickly switched to the close-up camera for continuous tracking, automatic switching of the target to be tracked from panoramic perception to close-up tracking is realized, the stability and continuity of the close-up tracking process are improved, and the tracking efficiency is improved. And the application requirements of intelligent shooting and automatic tracking in different scenes are met.

The invention provides an electrical equipment test data acquisition method based on image recognition, and relates to the technical field of intelligent operation and maintenance and digital twinning of electrical equipment, and the method comprises the steps: synchronously acquiring a panoramic video stream of a test site and a close-up video stream driven by a controllable holder; based on real-time analysis of the panoramic video stream, through a dynamic attention control mechanism, a holder is driven to adjust an acquisition target of the close-up video stream, so that the acquisition target is focused on a key instrument or equipment connection point in a current test stage; analyzing the panoramic video stream, identifying a continuous operation behavior of a tester, and comparing the continuous operation behavior with a preset standard test process to generate a process compliance judgment result; and performing association fusion on the reading obtained by analysis and a process compliance judgment result to generate a structured test data record with process context information. According to the invention, the whole test process can be intelligently sensed, the concerned target can be automatically tracked, and the data quality and the operation compliance can be intelligently judged.

The application discloses a method and system for detecting students playing mobile phones. The system comprises a pan-tilt camera arranged at the left and right ends of the back side of a classroom, a shooting control module and an analysis module. The analysis method used by the analysis module comprises the following steps: obtaining close-up pictures of positions of students; performing mobile phone detection and screen-on detection on the close-up pictures; if the mobile phone detection result is that a mobile phone exists and the screen-on detection result is that the mobile phone is in a screen-on state, marking that a student at the position corresponding to the close-up picture is playing a mobile phone. The two pan-tilt cameras are arranged at the left and right ends of the back side of the classroom, so that positions that are difficult to shoot can be ensured to be shot, and the mobile phone detection and the screen-on detection are used for filtering before posture detection, so that the cost can be reduced.

The embodiment of the application discloses an image acquisition device, a terminal, a method and a storage medium for a video conference, and relates to the technical field of camera terminals. The device comprises: a wide-angle lens for acquiring a first field of view area; a plurality of telephoto lenses symmetrically arranged with respect to the center of the wide-angle lens, the optical axes of the plurality of telephoto lenses intersecting with the optical axis of the wide-angle lens at the same virtual optical center, and the absolute value of the difference between the second field of view area obtained by merging the field of view areas of the plurality of telephoto lenses and the first field of view area being less than a field of view area threshold. The image acquisition device of the embodiment of the application combines the wide-angle lens and the telephoto lens, can improve the field of view coverage rate, can also fuse the telephoto lens and the wide-angle lens to perform lossless magnification on the picture, avoids image distortion caused by different focusing information of different lenses based on the setting of the virtual optical center and the field of view area, and can fuse the telephoto lens to perform magnification close-up in most of the field of view area of the wide-angle lens.

This application provides a method, system, equipment, and medium for automatic compliance verification in warehousing scenarios, belonging to the field of intelligent warehouse management technology. The method includes: collecting environmental photos and close-up photos of invoices related to the warehousing operation; performing image recognition on the environmental photos to determine whether they simultaneously contain three key elements: the operator's face, the shape of the goods, and the scale reading; extracting facial features and matching them with a pre-built authorization database; performing OCR recognition on the invoice photos to extract category and weight information, and comparing it with the weighing reading and the entered category; and determining non-compliance and blocking the warehousing process in real time when any key element is missing, the identity is unauthorized, the weight deviation exceeds a threshold, or the category is inconsistent. This invention transforms compliance judgment from post-event manual sampling to real-time control during the process, ensuring the integrity and validity of the stored photos, achieving automatic cross-verification of invoice information and weighing data, effectively preventing misrecording, omissions, and forgery, and reducing regulatory costs.

The application discloses a reservoir short-pile water gauge water level detection method based on improved YOLOv11 and DeepLabV3+, which comprises the following steps: acquiring a panoramic image of a reservoir area and a close-up image of a water gauge character; constructing an improved YOLOv11 model, introducing an RCM module and a CA module in a backbone network and a neck network part, and realizing accurate detection of the number of water gauges and the character area; optimizing a DeepLabV3+ model, replacing the main network thereof with MobileNetV3, and fusing a DenseASPP and a spatial pyramid SP module, so as to realize high-precision segmentation of a water area and a water level line; and establishing a dynamic conversion model of a pixel distance and an actual water level according to a character detection result, so as to effectively eliminate measurement errors caused by a shooting angle and lens distortion. The application significantly improves the automation degree and precision of water level recognition, and is suitable for real-time monitoring of reservoir water levels in a wide range and a multi-angle environment.

The invention relates to the technical field of visual control, and discloses a visual control method and system for a tractor hook picking and hooking process. The method comprises the steps that carriage distance data are obtained through weighted fusion of ultrasonic and infrared distance measurement values, and electric push rod stroke and tractor position data are collected; constructing a three-dimensional virtual scene according to the data, and dynamically mapping the position of the carriage and the rotation angle of the bolt; dividing a scene into a panoramic view layer and a close-up view layer, and superposing a data instrument panel on the panoramic view layer; according to the carriage distance change rate and the electric push rod stroke, the operation stage is judged, and view display modes are automatically switched; and drawing a thrust change curve on the close-up view layer, generating abnormal diagnosis information through thrust threshold comparison, and popping up a diagnosis panel. The problems that in the prior art, the tractor hook picking and hooking operation process is lack of visual monitoring, and abnormal conditions are difficult to find and process in time are solved, and the operation intuition and the troubleshooting efficiency are improved.

The invention relates to the technical field of intelligent positioning, in particular to a conference spokesman automatic positioning method, system and device and a medium. The method comprises the following steps: driving a microphone array to collect training sound data, and controlling a pan-tilt camera to spirally scan a conference room speaking area to collect training image data; when training human voice and lip micro-motion data are synchronously detected, extracting three-dimensional coordinates of a sound source and recording current shooting parameters (at least one of a horizontal rotation angle, a pitch angle and a focal length) of a camera to form a group of training samples; not less than 30 groups of samples are collected and input into a neural network for training, a coordinate transformation matrix of the camera relative to the microphone array is obtained, the microphone array obtains real-time sound source coordinates, visual search center coordinates are generated through the transformation matrix, and accordingly the camera is driven to complete spokesman close-up shooting. The method can be completed without manual intervention.

The present application relates to display device technical field, specifically to a kind of close-up picture image smoothing method, device, equipment and storage medium, the present application includes: obtaining the display picture of conference panel acquisition and the first pixel position of existing close-up picture, existing close-up picture is used to track target person, existing close-up picture corresponds to intercept frame, according to display picture, determine the target person area corresponding to target person and the second pixel position of target person area in display picture, according to the first pixel position and the second pixel position, calculate the third pixel position that satisfies pixel alignment restriction condition, according to third pixel position, move intercept frame, obtain the intercept frame after moving, according to the target close-up picture of target person area in display picture being intercepted according to the intercept frame after moving, control conference panel display target close-up picture.Through the present application, it can be guaranteed that the situation that intercept frame does not appear picture jitter after moving following target person image, so that picture moves more smoothly.

The invention provides a method and a system for tracking a target object in a monitoring video. The method comprises the following steps: firstly, detecting and locking a target object from a monitoring video stream to obtain a first motion track, determining a motion trend of the target object, then judging whether the target object enters a preset target area, and when judging that the target object enters the preset target area, obtaining a local close-up video stream of the target object, before the target object enters the preset target area, extracting a feature template of the target object from the local close-up video stream, and when the target object is located in the preset target area, performing matching pursuit in the local close-up video stream according to the feature template to generate a second motion track of the target object, and finally, fusing the first movement track and the second movement track, and outputting a complete movement track. The technical scheme provided by the invention not only improves the robustness and continuity of tracking the target object in a complex scene, but also improves the quality and availability of the trajectory data.

This application provides a shooting method and a related device. The shooting method may be applied to an electronic device disposed with a camera. According to the shooting method, in a shooting scene in which a plurality of shooting objects are in a same frame, the electronic device can perform focus tracking on one of the shooting objects, and perform targeted close-up recording on the shooting object, so as to separately generate an original video and a focus-tracking video. Specifically, the electronic device may allocate a flow identifier to each of data flows of a large preview window and a small preview window, associate different video files and encoders according to different flow identifiers, and match different image effects, thereby implementing recording of an original video corresponding to the large preview window and a close-up video corresponding to the small preview window.

The invention discloses a student behavior identification method and device based on dynamic close-up shot switching. Wherein. The method comprises the following steps: receiving a panoramic video picture shot by a panoramic camera; detecting a person standing in a student area in the panoramic video picture; when two standing figures are detected, controlling a close-up camera to shoot close-up of the two standing figures so as to ensure that the two standing figures are both in a shooting range of the close-up camera; obtaining a close-up picture shot by a close-up camera; identifying a student identity in the close-up picture; and based on the identified student identity, recording behavior data of the student whose identity is identified in the classroom. According to the invention, not only can the whole classroom be grasped, but also a single student can be sufficiently understood.

The application discloses a multi-camera target deduplication method and device, equipment, a storage medium and a program product, and relates to the technical field of computer vision. The method comprises the following steps: acquiring a panoramic image and at least one close-up image; determining an overlapping area of the panoramic image and the close-up image; detecting a first target person in the overlapping area in the panoramic image, and detecting a second target person in the close-up image; performing similarity matching on a first spatial distribution relationship of the first target person in the overlapping area and a second spatial distribution relationship of the second target person in the close-up image to obtain a similarity matching result; and determining a repeated person and removing the repeated person from an output picture according to the similarity matching result, wherein the output picture is the panoramic image or the close-up image in which the repeated person is located. The application meets the real-time processing requirement of an edge device while ensuring the deduplication accuracy, and realizes accurate identification and removal of repeated targets in multiple video streams under the condition of limited computing power.

The invention relates to the technical field of tracking, and discloses a target tracking method, a close-up camera, a system and a storage medium, and the method comprises the steps: detecting a first bounding box of an overall region of a target object at a lower frame rate through a panorama camera, and then detecting a second bounding box of a local region of the target object at a higher frame rate based on the close-up camera. And fusing the first bounding box and the second bounding box to obtain a target tracking frame, tracking the target object based on the target tracking frame, performing linkage through the panorama camera and the close-up camera, performing coarse detection on the whole area by using the panorama camera, and performing fine detection on the local area by using the close-up camera, thereby improving the tracking precision.

1. The name of the design product: custom video source interactive graphical user interface for electronic device. 2. The use of the design product: for electronic device. 3. The design points of the design product: the interface interaction and content of the graphical user interface in the screen. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: for building on electronic devices with screens, showing information and human-computer interaction interfaces. The main view of Design 1 is an initial graphical user interface of a custom video source, the central part of the interface displays a video window, and the periphery of the interface displays various function modules capable of adjusting the picture of the video source, and the user can click different function modules to perform editing operations on the selected video source for corresponding purposes; clicking Add Source in the main view of Design 1 or the first icon from top to bottom on the left side of the interface, entering the graphical user interface shown in Design 1 interface change state diagram 1, the interface displays a plurality of video sources, the user can select the required video source from the plurality of video sources, clicking Video 1 in Design 1 interface change state diagram 1 and clicking Done in the upper right corner of the interface, entering the graphical user interface shown in Design 1 interface change state diagram 2, at this time the video window displays the preview picture of the video source Video 1, the user can perform personalized editing on the selected video source Video 1 on this page, clicking the first icon from top to bottom on the left side of the interface in Design 1 interface change state diagram 2 and clicking Video 2, entering Design 1 interface change state diagram 3, clicking Done in the upper right corner of Design 1 interface change state diagram 3, entering the graphical user interface shown in Design 1 interface change state diagram 4, clicking the zoom icon in the lower right corner of Video 2 in Design 1 interface change state diagram 4, and dragging the zoom icon to adjust Video 2 to the required size, and then clicking Save in the upper right corner of the interface, entering Design 1 interface change state diagram 5, at this time the video window simultaneously displays the preview pictures of the dual video sources Video 1 and Video 2; the main view of Design 2 is an initial graphical user interface of a custom video source, the central part of the interface displays a video window, and the periphery of the interface displays various function modules capable of adjusting the picture of the video source, and the user can click different function modules to perform editing operations on the selected video source for corresponding purposes; clicking Add Source in the main view of Design 2 or the first icon from top to bottom on the left side of the interface, entering the graphical user interface shown in Design 2 interface change state diagram 1, the interface displays a plurality of video sources, the user can select the required video source from the plurality of video sources, clicking Video 1 in Design 2 interface change state diagram 1 and clicking Done in the upper right corner of the interface, entering the graphical user interface shown in Design 2 interface change state diagram 2, at this time the video window displays the preview picture of the video source Video 1, the user can perform personalized editing on the selected video source Video 1 on this page, clicking Crop at the bottom of the interface, entering the graphical user interface shown in Design 2 interface change state diagram 3, the user can select an appropriate size picture as a close-up shot on this page according to the ratio or freely moving the crop box, after the selection is completed, clicking Save in the upper right corner of the interface, entering the graphical user interface shown in Design 2 interface change state diagram 4, the user can preview the effects of the close-up picture of the video source Video 1;The design 3 main view is an initial graphical user interface of the custom video source, the central part of the interface displays a video window, and the periphery of the interface displays various function modules capable of adjusting the picture of the video source, and the user can click different function modules to perform editing operations on the selected video source for corresponding purposes; clicking "Add Source" in the design 3 main view or the first icon from top to bottom on the left side of the interface, entering the graphical user interface as shown in design 3 interface change state diagram 1, the interface displays a plurality of video sources, the user can select the required video source from the plurality of video sources, clicking "Video 1" in the interface and clicking "Done" in the upper right corner of the interface, entering the graphical user interface as shown in design 3 interface change state diagram 2, at this time the video window displays the preview picture of the video source "Video 1", the user can perform personalized editing on the selected video source "Video 1" on this page, clicking the first icon from top to bottom on the right side of design 3 interface change state diagram 2, entering the graphical user interface as shown in design 3 interface change state diagram 3, the user can obtain a plurality of background materials of picture type or video type from different sources on this interface, clicking "background 1.jpg" in the interface and clicking "Done" in the upper right corner of the interface, entering the graphical user interface as shown in design 3 interface change state diagram 4, the user can preview the picture effect of the custom video source after adding the background material; the design 4 main view is an initial graphical user interface of the custom video source, the central part of the interface displays a video window, and the periphery of the interface displays various function modules capable of adjusting the picture of the video source, and the user can click different function modules to perform editing operations on the selected video source for corresponding purposes; clicking the first icon from top to bottom on the right side of the design 4 main view, entering the graphical user interface as shown in design 4 interface change state diagram 1, the user can obtain a plurality of background materials of picture type or video type from different sources on this interface, clicking "background 1.jpg" in the interface and clicking "Done" in the upper right corner of the interface, entering the graphical user interface as shown in design 4 interface change state diagram 2, clicking "Add Source" in design 4 interface change state diagram 2 or the first icon from top to bottom on the left side of the interface, entering the graphical user interface as shown in design 4 interface change state diagram 3, the interface displays a plurality of video sources, the user can select the required video source from the plurality of video sources, clicking "Video 1" in the interface and clicking "Done" in the upper right corner of the interface, entering the graphical user interface as shown in design 4 interface change state diagram 4, the user can preview the picture effect of the custom video source after adding the background material.

The invention relates to a video data processing method and system and computing equipment. Objects processed by the method comprise a first original video collected by a panoramic shooting device and a second original video collected by a second shooting device. Firstly, a first original video is analyzed, a region of interest is determined based on a tracking algorithm, and a target shooting picture is cut according to a preset composition strategy; a first video clip belonging to the wonderful moment is identified in the first original video, and a second video clip corresponding to the time axis of the second original video is intercepted in the second original video; and if the second video clip also belongs to the wonderful moment, carrying out synthesis processing on the second video clip and the target shooting picture, and generating a final processing picture through modes such as replacement or picture-in-picture and the like. The scheme provided by the invention has the dual advantages of wide view field of the panoramic picture and high local close-up definition, the presentation effect of the wonderful picture can be improved in the automatic editing process, and the workload of manual screening and editing is reduced.

The embodiment of the invention discloses a video processing method and device, electronic equipment and a storage medium. According to the embodiment of the invention, the pre-stored equipment parameters and the parameters obtained by processing the acquired video picture are used for confirming the relative position relationship of the real person in the real scene based on the imaging principle of the image acquisition module and the final imaging effect, and the relative position relationship is used as the correction result of the relative position relationship of the portrait area in the video picture. When close-up pictures corresponding to all portraits are displayed through small windows, the corrected relative position relation closer to the real person on site is used as a reference for displaying layout of the small windows for displaying the close-up pictures, so that the relative position relation of the real person on site is presented as far as possible in the macroscopic aspect when the multiple small windows are used for displaying; and when audiences remotely check on-site pictures through a plurality of small windows, better on-site immersion can be obtained.

This application provides a shooting method. By implementing the method, a terminal device such as a mobile phone or a tablet computer can determine a shot protagonist based on a user operation when starting shooting or in a shooting process. In the shooting process, the terminal device may display, in a preview window, an image stream collected by a camera, and the terminal device may further generate a small window that specially displays the protagonist. After recording ends, a user may obtain two videos: an original video generated based on the image stream in the preview window, and a close-up video generated based on a protagonist image stream in the small window. In this way, the user can choose to use the original video and / or the close-up video to meet personalized requirements in different scenarios at different moments of the user.

Design 1: The object sought to be registered is a glass container consisting of a neck and a body. The neck is in the shape of a truncated cone. The body is in the form of a parallelogram sloping from the neck to the shoulder. The three ribbed sides of the body have decorative elements in relief, with the stylized letters "A", "M" and "G" successively placed below each other on each side, and a vertical rectangle on the front side. Design 1 is made of transparent glass. 1.1) Perspective view; 1.2) Front view; 1.3) Right side view; 1.4) Left side view; 1.5) Rear view; 1.6) Close-up view

A photographic paddle and process of use thereof are provided. The photographic paddle is used for photographing interior or close-up vehicle exterior region features of a subject vehicle, and to rapidly produce high-quality images that are reflection-free and glare-free. The photographic paddle has the ability to produce wide-angle high-quality images and stereoscopic three-dimensional images that are reflection-free and glare-free. The photographic paddle has additional utility to photograph interior and close-up vehicle exterior region features of a subject vehicle in-situ in a densely arranged inventory lot without having to move the vehicle to and from a staging area. The photographic paddle has further utility as a versatile process that is able to rapidly adapt to changing photographic conditions as the photographic paddle moves relative to vehicle features to be photographed, ensuring capture and production of high-quality, reflection-free, and glare-free images without having to set the camera prior to each image capture.

The invention discloses a synchronous display method and device of a video conference and a storage medium, relates to the technical field of video conferences, and discloses the synchronous display method of the video conference, comprising the following steps: determining position information of each participant in a panoramic image based on the panoramic image collected by a panoramic lens; determining a close-up shot set in which each participant falls based on the position information and a spatial mapping relationship between the panoramic shot and each close-up shot; determining a target close-up shot from the close-up shot set according to the imaging quality of the participants in the close-up shots for the participants falling into the plurality of close-up shots; and generating a composite video picture containing all the participants based on close-up pictures of the participants output by the target close-up shot. According to the method and the device, the panoramic image is taken as a reference, and spatial mapping and imaging quality optimization are combined, so that repeated display of participants in a multi-lens cross area is avoided, and clear and non-redundant synchronous picture display is realized.

This invention belongs to the field of vehicle safety monitoring technology and relates to a method and system for identifying and detecting illegally parked hazardous chemical vehicles in service areas. It uses a mobile close-up camera unit to perform close-up photography on suspected targets that meet the basic characteristics of hazardous chemical vehicles or areas to be analyzed where the image quality confidence level is insufficient, to obtain local close-up image data. It simultaneously identifies hazardous chemical markings and analyzes the three-dimensional structure of the tank body, jointly confirming the vehicle's hazardous chemical attributes. A tracking file is established for confirmed vehicles, and the location trajectory is updated frequently, recording the cumulative parking time. It is correlated with a pre-constructed spatial risk zoning map to quantify dynamic illegal parking risks and triggers an early warning when the risk exceeds a threshold. This avoids the limitations of single monitoring perspectives and single feature accuracy. Secondary confirmation through local close-up images improves the accuracy and real-time performance of illegal parking identification, enhances the comprehensiveness and timeliness of supervision, and significantly improves the accuracy and reliability of hazardous chemical vehicle attribute identification.

A camera system for generating a video output stream that features participants of a conference is disclosed. The camera system includes one or more cameras configured to each output an overview video stream of a conference environment. The camera system includes at least one processing unit. The at least one processing unit is configured to analyze the overview video stream to generate meta-information characterizing a conference environment represented in the overview video stream. The at least one processing unit then analyzes the meta-information to generate a command or rule set for generating a sequence of video output streams adapted to the current conference context. The camera system may utilize a generative artificial intelligence model to analyze meta-information and generate a command or rule set.

Name of the product incorporating the design: Eyeglass lenses. Use of the product incorporating the design: The product incorporating the design is used to correct defective vision. Essential features of the design: The essential features of the design are the shape, pattern, and appearance of the product as shown in the drawings. 1.1) Perspective view; 1.2) Front view; 1.3) Rear view; 1.4) Plan view; 1.5) Left side view; 1.6) Longitudinal section; 1.7) Close-up of front view; 1.8) Bottom view; 1.9) Right side view; 1.10) Cross section; 1.11) Close-up of longitudinal section; 1.12) Close-up of cross section

The design is for a fastener used to secure a ladder to a building, including an over-center actuation jaw and an actuator handle. Figure 1.13 shows the fastener in an open position, slightly reduced in scale to fit within the tolerances. 1.1) Perspective; 1.2) Perspective; 1.3) Perspective; 1.4) Close-up; 1.5) Rear view; 1.6) Front view; 1.7) Right side view; 1.8) Left side view; 1.9) Top view; 1.10) Bottom view; 1.11) Perspective; 1.12) Close-up; 1.13) Perspective; 1.14) Close-up

The invention discloses a reservoir short pile type water gauge water level detection method based on improved YOLOv11 and DeepLabV3 +. The reservoir short pile type water gauge water level detection method comprises the steps that a reservoir area panoramic image and a water gauge character close-up image are obtained; an improved YOLOv11 model is constructed, an RCM module and a CA module are introduced into a backbone network and a neck network part, and accurate detection of the number of water gauges and character areas is achieved; a DeepLabV3 + model is optimized, a backbone network of the DeepLabV3 + model is replaced by MobileNetV3, and a DenseASPP module and a spatial pyramid SP module are fused to realize high-precision segmentation of a water area and a water level line; a dynamic conversion model of the pixel distance and the actual water level is established according to a character detection result, and measurement errors caused by shooting view angle and lens distortion are effectively eliminated. According to the method, the automation degree and precision of water level identification are remarkably improved, and the method is suitable for reservoir water level real-time monitoring in a large-range and multi-view environment.

The invention relates to a multi-camera module overlapping view field configuration and close-up picture acquisition method and device, and belongs to the technical field of video signal processing. Comprising the following steps: sequentially arranging a plurality of camera modules along a preset direction; obtaining a decoding stream of each camera module, and performing human shape detection by using the decoding stream to obtain candidate person image coordinates corresponding to each decoding stream; performing detection target de-duplication processing on all image coordinates; according to an audio and video angle mapping table, converting the de-duplicated image coordinates into corresponding image angles to obtain an image angle set; according to a matching rule, comparing the audio angle with the image angle set so as to determine a target object angle; calculating the boundary distance of the target object angle in the view field of each camera module, and screening the maximum boundary distance; and extracting an output picture corresponding to the maximum boundary distance so as to obtain a close-up picture. According to the invention, high-definition seamless close-up picture acquisition is realized, and the problem that panoramic coverage and high-definition close-up are difficult to consider at the same time is solved.

This application relates to an AI model image generation method, system, device, and medium, belonging to the technical field of image processing. It involves collecting multimodal data of the target garment, including mannequin images, flat static images, and material close-up images; selecting a reference image from a target pose library whose pose matches the desired pose, and extracting the corresponding pose skeleton image as the target pose skeleton image; inputting the flat static image and the material close-up image into a visual language model to generate a text description; and inputting the target pose skeleton image, mannequin image, and text description into a pre-trained LoRA diffusion model to generate a preliminary dressed image. The LoRA diffusion model's input layer includes an independent pose condition injection channel, through which the target pose skeleton image is input into the LoRA diffusion model. This application has the beneficial technical effect of avoiding stiff and unnatural AI model poses, thereby improving the aesthetics of the generated images.