364 results about "Camera angle" patented technology

Angle adjustment mechanism for an object recognition camera, comprising a base (1) and a locking cylinder (11), characterized in that the base (1) has a rotary seat (2) rotatably connected to the inside of the base, and that the rotary seat (2) is provided with an adjustment arrangement on its top and on the base; The adjustment unit comprises a limiting toothed disk (4), wherein the limiting toothed disk (4) is fixedly connected to the bottom of the rotary seat (2), the limiting toothed disk (4) has a drive gear (5) fixedly connected to the bottom of the limiting toothed disk (4), the motor (6) is fixedly connected to the inside of the base (1), the motor (6) has a drive gear (7) fixedly connected to the end of the output shaft of the motor (6), and the left and right sides of the base (1) have a first electrical actuating element (8) fixedly connected.The telescopic ends of the two first electric actuators (8) are fixedly connected to a limiting gear plate (9), and the adjusting column (12) inside the mounting cylinder (11) is removable. There is a first electric actuator (8), the telescopic end of the two first electric push rods (8) is fixedly connected to the limiting gear plate (9), the inside of the locking cylinder (11) is removablely connected to the adjusting column (12), the top of the adjusting column (12) is rotatably connected to the adjusting plate (13), the right side of the locking cylinder (11) is fixedly connected to the mounting plate (15), the top of the mounting plate (15) is rotatably connected to the second electric actuator (6), and the output shaft of the motor (6) has an active gearbox (7) rotatably connected to a second electric push rod (16).wherein the telescopic end of the second electric push rod (16) is pivotally connected to a connecting rod (17), wherein the connecting rod (17) is pivotally connected to the adjusting plate (13).

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.

A system to capture a plurality of two dimensional digital source images of a scene 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.

A system to capture a two dimensional digital source image of a scene by a user, including a smart device having 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, said processor configured to capture a first two dimensional digital source image of the scene, said processor configured to execute an instruction to generate a second two dimensional digital image 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, and a display in communication with the processor, the display configured to display a multidimensional digital image.

The invention relates to the technical field of motion monitoring, in particular to a running posture monitoring method based on an image recognition technology, which comprises the following steps: deploying cameras at different angles, synchronously recording whole body actions of a user during running, extracting a joint angle change sequence, and constructing a running three-dimensional action model. According to the method, the consistency and the difference of the actions are recognized by comparing the amplitude and the speed of the joint movement, so that the detection of the action defects is facilitated, and the stability and the deviation of the gait can be quantitatively evaluated by analyzing the foot landing angle and the stride change; analysis of the motion change frequency and amplitude allows coaches and athletes to adjust and optimize gaits in a targeted manner in the training process, the risk of sports injury is reduced, and through continuous simulation and motion symmetry evaluation, recognition of sports defects and adjustment of the camera angle and shooting speed, the training effect of the coaches and the athletes is improved. And the data capture and analysis process in the training process is more efficient and targeted.

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.

The invention discloses an angle self-adaptive adjustment method and system for a code scanning camera and electronic equipment, and relates to the technical field of cameras, and the method comprises the steps: carrying out the real-time detection of environment parameters of a to-be-scanned area, and obtaining a dynamic parameter set; performing deviation analysis based on the dynamic parameter set and a preset code scanning reference parameter, and generating an angle adjustment strategy; driving a multi-dimensional holder to execute an angle compensation action according to the angle adjustment strategy, and generating code scanning camera data; and carrying out image quality evaluation based on the code scanning camera image data to generate an evaluation result, optimizing the angle adjustment strategy of the camera according to the evaluation result, and determining an angle adaptive adjustment strategy. The technical problems of low camera angle adjustment efficiency and insufficient precision caused by dynamic change of the environmental parameters are solved, and the technical effects of improving the accuracy and response speed of camera angle adjustment are achieved by detecting the environmental parameters in real time and dynamically optimizing the adjustment strategy.

The invention relates to the technical field of automatic control, in particular to an unmanned aerial vehicle tourism photography automatic control system which comprises a light and climate monitoring module, a photography configuration adjusting module, a scenic spot coverage planning module and a real-time shooting execution module. According to the invention, environmental data is collected and analyzed in real time, the photographing parameters, including aperture, exposure time and ISO, of the unmanned aerial vehicle can be rapidly adjusted to adapt to the rapidly changing external environment, the flight path is dynamically calculated and optimized by means of the GIS technology, the energy consumption efficiency and coverage of the photographing task of the unmanned aerial vehicle are maximized, and the photographing efficiency of the unmanned aerial vehicle is improved. Through the automatic adjusting function of the real-time shooting execution module, the unmanned aerial vehicle can adjust the flight height and the camera angle according to actual climate conditions, the automation degree of operation and the adaptability of the system are remarkably improved, the response speed and the environment adaptability are remarkably improved, errors caused by manual operation delay are reduced, and the shooting quality and efficiency are improved.

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.

A system to capture a plurality of two dimensional digital source images of a scene 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, add audio file thereto, and create a NFT.

The present disclosure integrates physical reality and virtual reality worlds, termed Integrated Reality, in a single gamified application. Both worlds share the same gaming environment, objectives, and context. The disclosure matches key advantages of a real-time ray tracing technology, taking the user's experience a quantum leap upward by a high degree of visual realism, bodily self-consciousness of the gamer, and camera angles with off-screen objects.

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 invention discloses an equipment monitoring method based on big data, and relates to the field of equipment monitoring, firstly, the method can calculate the video ambiguity Qi, the picture jitter degree Sshake, the dust coverage rate Djust and the camera angle drift rate Arift through a related algorithm formula by using a big data analysis technology; based on the parameters, the system can comprehensively calculate the comprehensive state score SPF of the inspection camera, and compares and analyzes the comprehensive state score SPF with a preset running state threshold Y to assess the current health state of the equipment. And when the comprehensive state score SPF is lower than Y, the system generates early warning information to prompt that the equipment is possibly abnormal and needs to be checked, cleaned or recalibrated in time. Through the process, multi-dimensional intelligent state monitoring of the camera equipment can be achieved, it is ensured that the operation condition of the equipment can be evaluated timely and accurately, and potential faults are prevented from occurring.

The invention relates to the technical field of video anomaly detection, and discloses a target-oriented anomaly detection method in a monitoring video, and the method comprises the steps: S1, deploying a plurality of cameras in a monitoring region, achieving the synchronization and fusion of multi-channel video data, and carrying out the real-time target detection and tracking of multi-view video data through an AI algorithm, estimating or filling missing information caused by shielding; s2, receiving the output of the target detection and tracking module, judging whether shielding occurs or not, designing a specific shielding detection algorithm, identifying when a shielding phenomenon occurs in the video, and estimating or filling missing information caused by shielding; and S3, through multi-sensor fusion, providing additional clues when single vision is blocked, dynamically adjusting a camera angle or a focal length to adjust a visual angle, and identifying an abnormal action or event of a monitored target based on an abnormal behavior detection model of deep learning.

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 relates to the technical field of remote monitoring, in particular to a highway construction safety behavior intelligent remote monitoring recognition system which comprises a dispatching management module, a center detection module, a path screening module, an area monitoring module and a low-illumination monitoring module. According to the method, the priority transmission of key image data is realized by extracting the time stamp of the image data frame, the definition level and the area priority and combining the bandwidth dynamic scheduling, and the identification of the angle deviation of the camera is realized by identifying the static traffic facility, marking the image center point and recording the center track change. According to the method, the electronic fence and personnel track recognition are combined, a border crossing behavior path is extracted, the border crossing recognition continuity is enhanced, non-protection crossing detection of a dangerous area is achieved by extracting personnel distance changes and protection states, construction risk early warning coverage is optimized, and the night monitoring abnormity capture rate is increased through night light reflection track coherence and space comparison.

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.

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.

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.

The invention discloses a visual online detection method for grinding damage of a side edge of an end mill. The method comprises the following steps: step 1, acquiring a sample image; step 2, self-compensating a shooting angle; step 3, establishing a VGG16-Unet side blade wear image recognition model; 4, collecting a detection image; 5, obtaining a milling cutter abrasion result; and 6, evaluating the milling cutter wear detection precision in the step 5. The shooting angle self-compensation method based on the least square is developed according to the situation that the side blade abrasion loss changes along with the shooting angle, and the problem that image collection is incomplete due to the side blade radian and the camera angle during abrasion contour extraction is solved. A deep learning model based on VGG16-UNet is established, image features of different scales are extracted for feature fusion, image splicing and matching are omitted, the problem of matching and positioning of wear regions between adjacent wear images is solved, the model has high robustness and high accuracy, the problems of wrong division and missing division of the wear regions are greatly improved, and the accuracy of the wear regions is improved. And the detection precision and efficiency are greatly improved.

A system to capture a two dimensional digital source image of a scene by a user, including a smart device having 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, said processor configured to capture a first two dimensional digital source image of the scene, said processor configured to execute an instruction to generate a second two dimensional digital image 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, and a display in communication with the processor, the display configured to display a multidimensional digital image, add audio file thereto, and create a NFT.

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 invention discloses a streaming media and back-up rearview shared high-definition camera shooting system, which relates to the technical field of back-up rearview camera shooting and comprises a camera shooting acquisition module, a camera shooting correction module, an image analysis module, a path analysis module and an execution display module. The shooting correction module is used for correcting the shot image and adjusting the shooting angle of the wide-angle camera; the image analysis module performs analysis based on the data of the camera shooting correction module to obtain a lane changing safety coefficient, a vehicle static safety coefficient and an inverted safety coefficient; the path analysis module analyzes an image transmission path to analyze the quality of a transmitted image to obtain a quality reduction amount, and analyzes the image transmission path and delay to obtain a channel matching number; the execution display module receives the signal for execution display; the system corrects the photographed image, reduces the deformation of the image, effectively improves the quality and usability of the photographed image, and provides safer and more convenient driving experience for a driver.

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 discloses a probing type pipe fitting inner wall welding seam positioning device which comprises a cylindrical shell and a conical shell, the conical shell is arranged at one end of the cylindrical shell, and an annular laser and an optical camera are arranged on the conical shell so as to position a pipeline inner wall welding seam; the cylindrical shell is connected with the right-angle fixing support, and the cylindrical shell is installed through the right-angle fixing support. The optical camera is installed on the conical shell through a camera support, and the camera support is used for adjusting the pitching angle of the optical camera through a C-shaped sliding groove and a camera support positioning pin. According to the probing type pipe fitting inner wall welding seam positioning device, after the angle of the camera is fixed, welding seam detection can be conducted on pipelines within a certain inner diameter range, the C-shaped sliding groove is connected to the tail of the camera so as to adjust the pitching angle of the camera, and the detection range can be adjusted; due to the flexibility, the equipment can be widely applied to pipeline welding seam detection occasions with various inner diameter ranges.

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.