225 results about "Camera angle" patented technology

The invention relates to the technical field of inspection unmanned aerial vehicle flight control, and discloses an unmanned aerial vehicle inspection method and system for a tobacco field, and the method comprises the steps: obtaining multi-source remote sensing image data of a preset tobacco planting region; detecting tobacco plants in the remote sensing image data, and performing spatial clustering on detection results to obtain a plurality of tobacco plant cluster targets; and generating an initial inspection path according to the position coordinate and the vegetation index of the tobacco plant cluster target. And in the flight process, the flight pose and environmental parameters of the target unmanned aerial vehicle and the deviation angle between the unmanned aerial vehicle and the current path section are collected in real time. And when the adjustment condition is satisfied, automatically generating an improved path, and adjusting the flight attitude and the camera angle of the target unmanned aerial vehicle. And identifying whether an abnormal condition exists in the image data acquired in the flight process. The tobacco planting scene-oriented inspection method integrating multi-source remote sensing perception, adaptive path planning and intelligent identification is realized.

A method and system for estimating dimensions of vehicle exterior defects using multiple cameras arranged in a predefined configuration. The method comprises receiving images from multiple strategically positioned image sensors including side cameras parallel to a vehicle height axis, diagonal cameras at an inclined angle, and roof top cameras perpendicular to the height axis. An angle to detected defects is computed based on image sensor parameters. Different distance calculations are applied based on vehicle section location, with specialized formulas for windshield, back window, and roof components. Defect sizes are computed by determining multiple defect dimensions, with at least one dimension being adjusted by an angular correction factor derived from the relationship between camera angle and vehicle surface orientation. The system implements comprehensive validation through cross-referencing between cameras, comparison with known specifications, and measurement consistency analysis across multiple frames.

The invention discloses a real-time multi-target tracking method based on occlusion information. The real-time multi-target tracking method specifically comprises the following steps: step 1, initializing a tracker; step 2, obtaining a current frame target and appearance characteristics of the current frame target, and sending the obtained target and corresponding characteristics into a tracker; 3, constructing an incidence matrix, and carrying out two-stage global matching to obtain a matching result M; step 4, correcting the influenced target based on the division of the track category in the step 1 and the division of the target category in the step 3; then the track information is updated; 5, increasing the shielding duration of the unmatched tracks, deleting the tracks with overlong shielding duration, converting the types of the tracks, and initializing the unmatched targets; and step 6, after track category conversion is completed, outputting a current frame tracking result, and returning to the step 2 for cyclic tracking until tracking is finished. According to the method, the tracking effect on the low-confidence target in the low-camera-angle scene is effectively improved, and the accuracy of the multi-target tracking task is improved.

The present invention provides a method for extracting features of the nearshore wave breaking process based on time series video images; wherein, the method comprises: setting at least one pixel sampling area in a plane geographic coordinate system, collecting time series video images of ocean nearshore waves, quickly converting them into plane geographic coordinate images through a coordinate model, and then stacking cross-shore pixel values ​​of several pixel sampling areas within a set time to generate a cross-shore pixel value and time relationship sequence diagram, mining the time-varying signal of the wave propagating toward the shore, combining the geometric relationship between the camera angle of view and the plane projection of the wave breaking, and calculating key wave breaking features such as the wave breaking point position, wave breaking water depth, and wave breaking height; the method can continuously monitor the nearshore wave breaking features efficiently, automatically, and stably, effectively making up for the shortcomings of traditional monitoring and analysis methods, and providing strong technical support for the refined research and management of nearshore beach dynamic landforms.

The invention discloses a building block building information display method and device, terminal equipment and a storage medium. The method comprises the steps of labeling current building block model data; selecting a camera angle, and rendering the current building block model data to obtain a texture image conforming to a preset texture proportion; building block parts in the current building block model data are traversed, sorting is carried out according to the visual areas of the building block parts, and a part list is obtained; the serial number of the current building block building step is displayed on the serial number assembly of the UI interface, the marked current building block model data and background building block model data are displayed on the model assembly of the UI interface, and the part list is displayed on the part assembly of the UI interface. According to the method, the information required for building the building blocks and the building steps are visually displayed, and the problems that in a traditional building block guidance system, parts are difficult to search, the model view angle is poor, and UI layout is disordered are solved.

The invention discloses a liquid crystal glass defect detection device and a control method.The detection device comprises a transmission mechanism, a portal frame and an optical imaging assembly, specifically, the angle of a camera is adjusted through an imaging adjusting assembly to meet the Gremer's law, the limitation of the depth of field of an inclined plane is solved, and single-time full-clear imaging is achieved; in the lighting system, a side-in type optical coupling assembly drives an optical coupling head comprising a hard air floating block and a silica gel pad by utilizing a linear driving and floating suspension mechanism, and a fixed-distance air film is flexibly attached to the silica gel pad through the air floating block, so that friction-free floating relative to a glass side straight surface is realized. The liquid crystal glass defect detection device effectively solves the problems of coupling difficulty and collision damage caused by glass edge position fluctuation in high-speed transmission, ensures efficient and stable light coupling so as to enhance internal defect contrast, and ensures high-precision and high-efficiency online detection.

A method of generating a three-dimensional (3D) model includes obtaining a set of two-dimensional (2D) images of a scene acquired by one or more cameras from a plurality of camera angles at a plurality of camera positions. Each 2D image corresponds to a respective camera angle and a respective camera position. The method further includes obtaining the respective camera angle and the respective camera position for each 2D image, and generating one or more semantic masks from the set of 2D images. Each semantic mask corresponds to a class of one or more objects in the scene. The method further includes training a neural radiance field (NeRF) model, using the set of 2D images and the one or more semantic masks as a training dataset, to obtain a trained NeRF model. The trained NeRF model is an implicit 3D model of the one or more objects in the scene.

The invention discloses a sample sending process monitoring system fusing image recognition and geographical location information, comprising a multi-source information acquisition module for acquiring image information around a sample and geographical location information of the sample in a sample sending process; the sample sending abnormal behavior recognition module based on image recognition is used for detecting pedestrian abnormal behaviors, camera abnormal shielding and camera angle abnormal adjustment in a sample area according to the image information; the sample sending abnormal behavior recognition module based on the geographic position information is used for extracting space-time trajectory characteristics of the sample according to the geographic position information of the sample and detecting a time abnormal trajectory, a space abnormal trajectory and a space-time abnormal trajectory according to the space-time trajectory characteristics; and the early warning module is used for generating an abnormal behavior signal or a non-abnormal signal according to the detection result of the sample sending abnormal behavior and the abnormal track behavior, and sending early warning information according to the abnormal behavior signal. The method has the advantages of small algorithm size, easy migration, low cost and the like, and can improve the user experience.

The present invention discloses a method for detecting the closed state of an isolating switch based on a preset position camera, which obtains the preset position information of the camera, and the preset position information includes the type of knife switch monitored by the camera and the target area; performs feature matching and comparison between the monitoring image of the camera and the preset position image to determine whether the monitoring image of the camera deviates; if there is a deviation, the camera angle is adjusted based on the preset position image; otherwise, it is determined whether there is a target knife switch to be detected in the preset position image; if there is a target knife switch, a corresponding detection model is selected according to the type of the target knife switch; the monitoring image is input into the selected detection model, and the detection model gives the status result of the current knife switch according to the monitoring image; it is determined whether the degree of overlap between the status result of the current knife switch and the preset target knife switch position is greater than a set value; if so, the knife switch status detected by the model is output. The present invention does not require the addition of new sensors, and has a stronger generalization capability based on the deep learning method, can cover various weather and light changes, and can solve the problems existing in the prior art.

The invention provides a multi-axis motion platform industrial camera deflection angle adjustment method, and belongs to the technical field of industrial camera angle adjustment. The method solves the problem that an existing camera angle adjusting method is large in error and complex, and comprises the steps that a first image is collected, in the first image, a point, intersecting with the right side edge of the first image, on a marker line is recorded as a point A, and the distance yA between the point A and the bottom end edge of the first image at the moment is recorded; controlling the multi-axis motion platform to drive the observation sample to move; a second image is collected, at the moment, a point A on the marker line intersects with the left side edge of the second image, and the distance yA'between the point A and the bottom end edge of the second image is recorded; the total number of pixels of the bottom end edges of the first image and the second image is the same and is ximg; calculating the deflection angle of the industrial camera according to yA, yA'and ximg; and adjusting the industrial camera according to the deflection angle of the industrial camera. And the angle of the industrial camera can be adjusted more efficiently and accurately.

The invention relates to a small cable pipeline auxiliary construction pipeline robot, and belongs to the technical field of pipeline cable robots, the small cable pipeline auxiliary construction pipeline robot comprises a plurality of vehicle bodies which are sequentially arranged in the crawling direction, and every two adjacent vehicle bodies are hinged through a folding mechanism so as to adjust the included angle between every two adjacent vehicle bodies; each section of vehicle body is connected with a walking mechanism, and at least one walking mechanism is driven by a driving mechanism; the camera angle adjusting mechanism is arranged at the front end of the first vehicle body connected in sequence and comprises a camera box and a push rod mechanism, the infrared camera is arranged in the camera box, and the camera box is pushed to rotate through the push rod mechanism so as to adjust the pitch angle of the infrared camera; and the optical fiber interface is arranged at the rear end of the last vehicle body which is connected in sequence, and a waterproof sealing ring is arranged at the interface position of the optical fiber interface.

The invention relates to the technical field of intelligent traffic, in particular to an AI barrier gate monitoring system based on radar and image dual analysis, which comprises an intelligent license plate feature extraction module, a multi-sensor data fusion module and a self-adaptive visual adjustment module, wherein the intelligent license plate feature extraction module adopts an edge detection algorithm to extract multiple pieces of edge information in a vehicle two-dimensional image, distinguishes license plate area edge information, and adopts a projection method to extract license plate characters in the license plate area edge information; the multi-sensor data fusion module fuses the vehicle two-dimensional image and the vehicle three-dimensional image by adopting a data fusion technology, and defines the two-dimensional image and the three-dimensional image as a fused image; and the self-adaptive visual adjustment module senses whether the intelligent license plate feature extraction module can successfully identify the edge information of the license plate region in real time, analyzes the contour coordinate points of the vehicle by using the fused image when the edge information cannot be identified, calculates the angle to be adjusted of the camera by using a vehicle positioning method, and adjusts the focal length according to the distance between the vehicle and the camera.

The utility model discloses multifunctional fitness equipment which comprises a structural main body, a body building support arm, a body building device and a control device, the double-face supporting part is rotationally connected with the structure main body, then the double-face supporting part and the structure main body are unfolded and folded by turning over the double-face supporting part, and a platform plate for people to stand or sit and lie is arranged on the inner side face of the double-face supporting part; the camera shooting display assembly is connected with the structure body in an up-down sliding mode and used for adjusting the high position and the low position of the camera shooting display assembly. The equipment can realize the functions of omnibearing aerobic exercise and strength fitness, and the high-low position adjustment of the camera shooting display assembly on the equipment meets the camera shooting angle requirements and the screen visual angle requirements corresponding to different types of exercises, so that a user can perform face-to-face video interaction with an online coach at the optimal visual angle; therefore, the user can communicate and practice with the remote fitness coach face to face at home.

An unmanned aerial vehicle (20) for inspecting linear infrastructure (60, 61) is described.The unmanned aerial vehicle (20) comprises: a camera (23), a gimbal (24) carrying the camera (23), a light detection and ranging (Lidar) system configured to scan linear infrastructure and generate 3D point cloud data, and a processing device configured to receive the 3D point cloud data from the Lidar system, analyze the 3D point cloud data to detect features of interest on the linear infrastructure, calculate, based on the detected features of interest, camera angles and / or distances to the features of interest, and generate, based on the calculated camera angles and / or distances to the features of interest, commands for the gimbal (24), wherein the gimbal (24) is configured to change the orientation of the camera (23) based on the commands of the processing device (26).

The embodiment of the invention provides an intelligent tracking shooting pan-tilt, a shooting method, equipment and a storage medium, the intelligent tracking shooting pan-tilt comprises a pan-tilt base, a pan-tilt shell, a tracker and a driving mechanism, and the tracker and the driving mechanism are arranged in the pan-tilt shell; the tracker comprises an AI camera, and the AI camera is used for obtaining a first picture which is shot by the AI camera in the shooting holder and comprises a key target, inputting the first picture into a target detection model, and obtaining the position of the key target; then, converting the position of the key target into a first physical coordinate according to the distortion parameter and the rotation angle of the AI camera, and carrying out intelligent tracking shooting on the key target according to the first physical coordinate and a multi-target tracking algorithm; in this way, efficient intelligent tracking shooting can be achieved, the shooting angle of the shooting pan-tilt can be automatically adjusted, and the competition shooting efficiency is improved.

The invention discloses a refraction distortion automatic correction method and system for an SPIV experiment, and belongs to the technical field of fluid mechanics experiment measurement, and the method comprises the following steps: obtaining a camera shooting posture and medium physical parameters; constructing a multi-layer medium forward refraction model; iteratively adjusting the assumed real angle and repeatedly calling the forward model by taking the measured distortion angle as a target through reverse iterative calculation until the predicted angle of the model is matched with the measured angle, and solving the corrected actual camera angle; constructing a nonlinear mapping relation from a distorted image coordinate to a non-refraction ideal image coordinate according to the difference between an actual angle and a measurement angle; performing reverse geometric transformation and interpolation on the original SPIV image by using the mapping relation to generate a correction image for eliminating the refraction effect; according to the invention, a software algorithm is used for replacing a traditional water prism physical correction device, so that the cost and complexity are reduced, and the adaptability to different experimental conditions and the correction precision are improved.

A system to capture a plurality of two dimensional digital source images of a scene / event by a user, including a memory device for storing an instruction, a processor in communication with the memory and configured to execute the instruction, a digital image capture device in communication with the processor configured to capture a digital image of the scene, the processor configured to execute an instruction to generate a plurality of two dimensional digital images of the scene from said first two dimensional digital image of the scene via a camera angle rotation of between 1-180 degrees of said first two dimensional digital image of the scene for each of said plurality of two dimensional digital image of the scene as a sequence, and a display in communication with the processor, the display configured to display a multidimensional digital image sequence of an event.

This utility model relates to the field of monitoring device support technology, and discloses a multi-head monitoring support platform for classrooms, including a support rod. An upper support block is fixedly connected to one side of the support rod. An upper support shaft, an upper fixing plate, an upper connecting plate, and an upper protective cover are rotatably connected to the upper surface of the upper support rod. This utility model has a reasonable structure. By installing the monitoring camera on the upper support shaft, rotating the upper fixing plate and the upper connecting plate to fix the monitoring camera, and using connecting bolts to fix the upper connecting block and the upper fixing block to ensure stability, the upper protective cover is attached to the outside of the monitoring camera. The camera's data cable is passed through a cable hole on the upper surface of the upper support block and inserted into the upper support block. The data cable is placed in the upper cable management groove and then through the cable management groove. The camera angle is adjusted by rotating the support rod. A cooling fan is inserted into the lower fixing block, a lower heat sink is inserted into the lower support block, and an upper heat sink is inserted into the upper support block.

The utility model discloses a camera fixing device for low altitude photogrammetry of an unmanned aerial vehicle, which belongs to the technical field of unmanned aerial vehicles and comprises an unmanned aerial vehicle body, a fixing mechanism is fixedly connected to the inner surface of the unmanned aerial vehicle body and comprises a connecting rod, a connecting assembly is fixedly connected to the front end of the connecting rod, and a fixing assembly is clamped in the connecting assembly. According to the unmanned aerial vehicle low-altitude photogrammetry device, through the matched design of the connecting assembly and the fixing assembly, rapid disassembly and assembly of a camera are achieved, tools are not needed, the preparation time before operation and the equipment replacement time are greatly shortened, and the working efficiency of unmanned aerial vehicle low-altitude photogrammetry is remarkably improved; through the lens assembly, the camera can be flexibly adjusted at multiple angles and in all directions in a three-dimensional space, comprehensive and accurate image information is captured by adjusting the angle and the position of the camera, the applicability of the device in different photogrammetry tasks is greatly expanded, and the practicability of the device is improved.

The invention discloses a coal mine dynamic area personnel safety management and control method and system, and is applied to an underground coal mine fully mechanized coal mining face, and the method comprises the steps: shooting an operation site video in real time through a camera; on the basis of a KNN background modeling algorithm, extracting movement change areas which respectively appear in each video frame and generate movement change relative to a static background in the operation site video in real time; when it is judged that the camera moves and changes, re-identifying a new dangerous area displayed in a work site video through a YOLOv8 segmentation model according to the work site video shot when the camera moves and changes; and when the operator is identified to enter the new dangerous area, the alarm system is triggered to generate an alarm signal. The problem of false alarm caused by angle change or position movement of a camera in an existing personnel management and control method is solved, meanwhile, the complex terrain boundary recognition precision is improved, and the accuracy and reliability of personnel intrusion monitoring in a coal mine dangerous area are improved.

The utility model discloses four-eye camera fusion monitoring equipment used in the unmanned driving field, and relates to the technical field of camera equipment. The four-eye camera comprises a four-eye camera main body, a first camera shooting groove and a second camera shooting groove which are symmetrically distributed are formed in the front face of the four-eye camera main body, and a third camera shooting groove is formed in the position, between the first camera shooting groove and the second camera shooting groove, of the front face of the four-eye camera main body. The four-eye camera main body is provided with a fourth camera slot below the first camera slot and the second camera slot; according to the utility model, the upper end of the four-eye camera main body is provided with a brim-type projection design which can play a role in shading, the front surfaces of the first camera slot and the second camera slot are designed into a glasses-shaped combination with round inside and square outside, so that the camera angle is wider, the bottom of the four-eye camera main body is provided with a dot-matrix loudspeaker pickup port, and the fourth camera slot is arranged in a rectangular shape, so that the camera is more convenient to use. And a rectangular field angle of a large wide-angle camera can be realized.

This application discloses a liquid crystal glass defect detection device and control method. The detection device includes a transmission mechanism, a gantry, and an optical imaging assembly. Specifically, the camera angle is adjusted by the imaging adjustment assembly to satisfy Scherm's law, solving the depth-of-field limitation of the inclined plane and achieving single-shot full-clear imaging. In the illumination system, the side-entry optical coupling assembly uses a linear drive and a floating suspension mechanism to drive the optical coupling head, which includes a rigid air-float block and a silicone pad. The air-float block forms a fixed-distance air film, and the silicone pad flexibly adheres, achieving frictionless floating relative to the side surface of the glass. This liquid crystal glass defect detection device effectively solves the coupling difficulties and collision damage caused by fluctuations in the glass edge position during high-speed transmission, ensuring efficient and stable light coupling to enhance the contrast of internal defects and guaranteeing high-precision and high-efficiency online detection.

The system according to this embodiment aims to provide a sports viewing experience tailored to the viewer's preferences. [Solution] The system according to the embodiment comprises a camera switching unit, a commentary unit, a display unit, and a highlight unit. The camera switching unit allows viewers to freely switch camera angles. The commentary unit analyzes the camera footage selected by the camera switching unit and provides personalized real-time commentary. The display unit displays statistical data and background information tailored to the viewer's interests based on the commentary provided by the commentary unit. The highlight unit provides highlights and player profiles tailored to the viewer's preferences after the match has ended, based on the information displayed by the display unit.

A method includes identifying an image captured by an image capture device set at a first angle about an axis, the image corresponding to a time at which the image was captured, identifying within the image, a region of interest including an object to be used for calibration, determining, an image coordinate at which the object is displayed within the image, determining a camera angle corresponding to a position of the image capture system relative to the axis when the image was captured, identifying a bearing of the object relative to the reference direction, the bearing of the object determined using a geolocation of the image capture system and the time at which the image was captured, and determining, using the image coordinate, the camera angle, and the bearing of the object, an angular offset between the first angle and the reference direction to determine a second angle.

1. Name of this design product: Smartphone Front Camera Angle Reflector. 2. Application of this design: This design is used for the angle refraction mirror of the front camera of a smartphone. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key features: the front view.

The utility model belongs to the field of monitoring cameras, and provides a campus intelligent monitoring camera, which comprises two mounting plates, a mounting rod arranged on one side of the mounting plates, a mounting ring rotationally connected to the surface of the mounting rod, and a camera body arranged on one side of the mounting ring, a limiting assembly for limiting the mounting rod is arranged in the mounting plate; the mounting plate in the device is mounted at the corner of a wall surface through screws, a first servo motor and a second servo motor are connected with a power supply, and a single chip microcomputer is mounted on the first servo motor, so that the output end of the first servo motor rotates reversely after rotating by a certain angle, and the first servo motor is driven to rotate reversely after rotating by a certain angle. The output end of the first servo motor rotates to drive the mounting ring to rotate through the gear, so that the effect of adjusting the camera angle of the camera body can be achieved, and compared with an existing monitoring camera, the device effectively enlarges the camera range of the camera body.

The utility model discloses a video monitoring equipment of video monitoring technical field's automatic adjustment camera angle, including mounting seat, the inside of mounting seat is installed with the rotating seat through the drive part, the rotating seat top fixed mounting has the fixed frame, the rotating seat top and located fixed frame top mounting is used to support the mounting frame of camera, the fixed piece that is used to fix the camera is hinged and is installed to the mounting frame top, the fixed frame both sides are installed with the adjusting part that is used to adjust the camera tilt angle respectively, and the drive part in the mounting seat can drive the rotating seat to swing back and forth 180, and the fixed frame of rotating seat top can support the installation adjusting part, and the mounting frame section is U shape, and the mounting frame can support the camera through the fixed piece, and the stability of fixed piece taking and placing the camera to install and fix and dismount.

This invention discloses an artificial intelligence-based system and method for monitoring and analyzing weld defects, relating to the field of welding quality inspection technology. The method includes: acquiring surface images of composite current collector adapter tabs using a high-resolution industrial camera; identifying the precise location of each weld point; dynamically adjusting the angle, focal length, and light intensity parameters of the robotic arm and high-resolution industrial camera to capture images of each weld point at the optimal position based on the precise location of each weld point; extracting feature information of the weld points using image processing technology; automatically identifying the weld defect status of each weld point, classifying it into different weld defect levels, and marking the weld defect location and level on the weld point image; displaying the weld defect identification results on a display screen in real time, and printing the results into a report. This invention can automatically and accurately detect the weld point location and weld defect status of composite current collector adapter tabs, improving detection efficiency and accuracy.

This technology enables accurate detection of parent and child objects from images captured by cameras, such as wearable cameras, whose camera angle and position change. [Solution] The parent component detection unit 20 detects the parent component image region from the image captured by the wearable camera 40. The child component detection unit 30 detects the child component image region within the parent component image. The parent component detection unit 20 includes a parent component neural network 22 that has been trained on images including the parent component image region. The parent component neural network 22 sets up multiple candidate regions (bounding boxes) in the captured image and identifies the candidate region with the highest confidence score for the parent component image region. When the obtained confidence score is equal to or greater than the parent component threshold over a predetermined number of frames of the video, the parent component detection unit 20 confirms the candidate region that is equal to or greater than the parent component threshold, detected in the captured image after the predetermined number of frames, as the parent component image region.

A method of generating a three-dimensional (3D) model includes obtaining a set of two-dimensional (2D) images of a scene acquired by one or more cameras from a set of camera angles and camera positions, obtaining the set of camera angles and camera positions based on obtaining, for each 2D image in the set of 2D images, a respective camera angle and a respective camera position for the 2D image, training a neural radiance field (NeRF) model, using the set of 2D images and the set of camera angles and camera positions as a training dataset, to obtain a trained NeRF model, generating a set of 2D depth maps based on the trained NeRF model, and generating a 3D polygonal mesh representing at least one object of one or more objects in the scene based on the set of 2D depth maps.