107 results about "Camera placement" patented technology

Disclosed in the present invention is an obstacle avoidance method for an industrial robot in a complex environment, comprising the following steps: S1, performing model simplification on an industrial robot in a working space, and simplifying an obstacle into an obstacle point cloud; S2, placing a depth camera outside a motion space of the industrial robot in an "eye-to-hand" arrangement mode; and S3, before the industrial robot moves, using a G-APF-RRT* algorithm to plan a feasible path in the working space. In the present invention, the calculation mode of the distance between the industrial robot and the obstacle is simple, the required time is short, virtual joint interpolation is used and a spherical bounding box is used at a joint to completely envelope the industrial robot so as to simplify a model, and distance calculation can be completed only by calculating the distance between the center of sphere of the limited spherical bounding box and each point in the obstacle point cloud.

A hydraulic engineering video monitoring intelligent stationing optimization design method based on a three-dimensional model realizes video monitoring intelligent stationing planning design based on a mode of combined development of a three-dimensional modeling platform and a BIM lightweight engine. The method comprises five stages of camera adaptive arrangement, monitoring area three-dimensional visualization, monitoring coverage check, design optimization and design result display output. According to the method, the overall planning of the video monitoring intelligent stationing of the water conservancy and hydropower engineering is enhanced, the advantages and disadvantages of the video monitoring stationing are scientifically and quantitatively evaluated, and a quantifiable video monitoring intelligent stationing planning scheme is provided. According to the method, the requirements of the current video monitoring distribution point and the monitoring coverage rate are combined, a monitoring model optimization algorithm is utilized, the monitoring coverage rate or the camera configuration is taken as an optimization target, the monitoring coverage rate is improved, the monitoring blind area range is reduced, monitoring redundancy setting is avoided, and the monitoring camera configuration is optimized.

The technology disclosed teaches systems and methods for self-service installation of monitoring operations in an area of real space, the method including scanning the area of real space to generate a 3D representation of the area of real space, placing a camera at an initial location and orientation for monitoring a zone within the area of real space, configuring a computing device to be connected to a cloud network hosting an image processing service and couplable to the camera, coupling the camera to the computing device via a local connection using a unique identifier associated with the camera, and finetuning the camera placement to a calibrated location and orientation, wherein the finetuning is assisted by information received from a cloud-based application associated with the image processing service.

Techniques for managing coverage constraints are provided for determining an improved camera coverage plan including a number, a placement, and a pose of cameras that are arranged to track subjects in a three-dimensional real space. The method includes receiving an initial camera coverage plan including a three-dimensional map of a real space, an initial number and initial pose of a plurality of cameras and a camera model including characteristics of the cameras. The method can iteratively apply a machine learning process to an objective function of number and poses of cameras, and subject to a set of constraints, obtain an improved camera coverage plan. The improved camera coverage plan is provided to an installer to arrange cameras to track subjects in the three-dimensional real space.

A method for calibrating a camera group includes: controlling a first and second cameras to capture first and second images of a first scene, the first camera having a first field of view FOV), the second camera having a second FOV overlapping the first FOV in a first overlap region; the first scene including a calibration target in the first overlap region; computing a first relative pose based on the first and second images; controlling the second camera and a third camera to capture third and fourth images of a second scene, the third camera having a third FOV overlapping the second FOV in a second overlap region, the second scene including a calibration target in the second overlap region; computing a second relative pose based on the third and fourth images; and computing a third relative pose based on the first and second relative poses.

A multi-task device including: a single drive spindle movable in rotation and / or in translation along a same axis and able to cooperate individually with movable members in order to drive them in a rotation movement and / or translation movement allowing them to perform their given task; a camera having a depth of field, the camera being mounted movably between at least: a stowage position wherein it does not extend in the axis of the single spindle; an intermediate position wherein it extends in the axis of the single spindle. The spindle is able to act on the camera so as to move it into at least one focussing position wherein the surface of the structure to be worked is situated in the depth of field of the camera.

The invention provides a 0.6-meter wind tunnel infrared test section. The 0.6-meter wind tunnel infrared test section comprises a rack car; the frame is arranged at the top of the rack car and slidably connected with the rack car, and positioning pin structures are arranged at the two ends of the frame respectively; the test area hole wall assembly is arranged in the frame and is in sliding connection with the frame, the test area hole wall assembly can be moved out of the frame, a positioning connecting piece is arranged on the test area hole wall assembly, and the positioning connecting piece is connected with the frame; the support area hole wall assembly is fixedly arranged in the frame; the model bracket comprises a support and a semi-curved knife, and the support is fixedly connected with the rack car; the semi-curved knife movably penetrates through the bottom of the bracket area hole wall assembly; the upper end of the half-bent knife is used for installing a model. The test area hole wall assembly can be drawn out from the test section, and germanium glass of the lower wall plate of the test area is prevented from being damaged when the model is installed; the model support adopts a half-curved knife form, the upper end of the half-curved knife is not connected with the test area upper wall plate, the space above the test area upper wall plate is not occupied, the camera arrangement requirement is met, and the device is suitable for a wind tunnel infrared test.

The embodiment of the invention discloses a camera arrangement evaluation method and device based on operation data and a medium. The method comprises the steps that a three-dimensional space model of a to-be-evaluated area is acquired and visually displayed, and a virtual monitoring scene is generated; in response to an adding operation of camera point locations, displaying a visible range of each camera in the virtual monitoring scene in an overlapping manner; in response to an import operation of historical operation data, superposing and displaying a thermodynamic diagram of historical people flow density and / or work order density in the virtual monitoring scene; according to a superposition display result, determining a coverage condition of the camera on the people flow density and / or the work order density; and evaluating the point location layout of the camera according to the coverage condition. According to the embodiment of the invention, intelligent and precise camera arrangement evaluation is realized.

The invention relates to a method for real-time tracking of the placement of a camera with respect to a 3D model comprising a keyframe base comprising a first thread of execution making it possible to estimate the current placement of the camera from a selected keyframe, characterized in that the method further comprises a step of analyzing the quality of the estimation of the placement of the camera from the image stored in a buffer memory, and a step of analyzing the sharpness of the image stored in the buffer memory from data representative of the movement of the camera, and if the quality of the estimation of the placement of the camera from the stored image and the sharpness of the stored image conform to predetermined criteria, a step of adding the image stored in the buffer memory to the keyframe base as a new keyframe.

The utility model provides an automobile part surface detection tool, which relates to the technical field of automobile part surface appearance defect detection, and comprises a mounting frame, a horizontal telescopic piece, a vertical telescopic piece, a first visual camera, a second visual camera, a placement plate, a through hole, a plugging assembly and a clamping assembly, according to the device, when visual appearance detection is carried out on the upper surface and the lower surface of the automobile part, only feeding and discharging are needed, the automobile part does not need to be fixed or turned over, and clamping and releasing of the automobile part are automatically completed; meanwhile, appearance defect detection of the upper surface and the lower surface can be automatically and accurately completed by means of the two visual cameras on the basis that the surface is not turned over, the using effect of the surface detection tool for the automobile parts is better, and the automation degree is improved.

Systems and methods are described for enabling a lensless camera having an image sensor and a mask to be positioned behind a display screen of a device, which allows for the device to have an increased screen-to-body ratio. The image sensor captures an image based on the light that travels through the display screen and the mask. The display screen may include portions between pixel elements that allow light to pass through. The mask may include a pattern, such as an opaque material with portions that allow light to pass through from the portions of the display layer to the image sensor. The image captured by the image sensor may be indiscernible to humans. The system may utilize a trained machine learning model to reconstruct the image, using data about the pattern of the mask, so humans may visually recognize features in the image.

The embodiments of this specification disclose a point cloud calibration method, device and medium for a robot depth camera, the method comprising: placing the depth camera in a ground observation environment, controlling the robot coordinate system and the depth camera coordinate system to perform step iterations of a first rotation increment and a second rotation increment, respectively, to determine a first calibration rotation increment and a second calibration rotation increment; performing step iterations of a third rotation increment on the depth camera under the first calibration rotation increment and the second calibration rotation increment, to obtain a third calibration rotation increment of the depth camera; obtaining the median value of the vertical coordinates in each ground point cloud data collected by the depth camera, to obtain a first calibration displacement increment of the depth camera; placing the depth camera in a preset target observation environment, to determine a second calibration displacement increment and a third calibration displacement increment of the depth camera based on a preset adjustment strategy, to achieve calibration of the depth camera according to a relative angular coordinate relationship and a relative coordinate relationship.

The present disclosure generally relates to methods, systems, and user interfaces for camera placement and physical movement capture and methods, systems, and user interfaces for camera-based assessment of physical movement using a computer system.

An exemplary embodiment relates to a camera arrangement for vehicle object detection and avoidance. [Solution] An exemplary system includes a vehicle and at least one camera of a first camera type mounted on the vehicle. The system also includes a plurality of cameras of a second camera type mounted on the vehicle. Furthermore, the system includes a plurality of cameras of a third camera type mounted on the vehicle. The system also includes a computing device communicatively coupled to the at least one camera of the first camera type, the plurality of cameras of the second camera type, and the plurality of cameras of the third camera type. The computing device is configured to identify objects located within a first distance range from the vehicle, objects located within a second distance range from the vehicle, and objects located within a third distance range from the vehicle.

A quantitative phase contrast imaging system comprises a light source configured to generate light and to direct the light to a sample, wherein the light comprises nonlinearly polarized light; a first lens configured to receive light from the sample; a phase filter, wherein the first lens is configured to focus the light from the sample onto the phase filter, and the phase filter is configured to modulate multiple components of the nonlinearly polarized light simultaneously (e.g., geometric phase interferometry); a second lens configured to receive light from the phase filter; and a polarized camera, wherein the second lens is configured to collimate the light beam from the phase filter to the polarized camera and the polarized camera is configured to image the sample in response to the light from the phase filter. In absence of the second lens, the camera can be placed at the image plane.

We provide a camera placement optimization system that optimizes the placement of cameras to image a desired target. [Solution] The virtual space construction unit constructs a 3D virtual space that mimics the behavior of the real world. The pseudo-light placement unit places pseudo-lights, which are light sources that illuminate an area equivalent to the camera's field of view, at candidate camera placement locations in the 3D virtual space. The imaging range identification unit emits light from the placed pseudo-lights and generates range identification information that represents the area illuminated by the light and the object to be imaged. The placement optimization unit optimizes the placement of the pseudo-lights based on the range identification information and identifies the optimized pseudo-light placement as the camera placement.

The present invention discloses a method for on-site rapid calibration of a large field-of-view camera applicable to complex working conditions, including: on-site measurement scene arrangement, camera placement and adjustment, left camera acquisition of cross calibration target images, decoding of cross calibration target images, orientation of cross calibration target images, optimization of camera internal parameters, calibration of right camera internal parameters, synchronous acquisition of a frame of measurement scene images by the left and right cameras, feature point detection, feature point matching, solution of initial external parameter values, total station measurement of point distances, correction and optimization of camera external parameters, and export of calibration data. The present invention combines close-range photogrammetry technology, binocular stereo vision technology and total station ranging technology, uses a small-sized cross calibration target and the distance between a pair of feature points that are far apart in the measurement scene obtained by the total station as a flexible calibration target, realizes the calibration of a large field-of-view camera under complex working conditions, and can complete the on-site rapid calibration of the internal and external parameters of a large field-of-view camera with a field of view of dozens of meters to hundreds of meters within a few minutes.

Techniques for managing coverage constraints are provided for determining an improved camera coverage plan including a number, a placement, and a pose of cameras that are arranged to track puts and takes of items by subjects in a three-dimensional real space. The method includes receiving an initial camera coverage plan including a three-dimensional map of a real space, an initial number and initial pose of a plurality of cameras and a camera model including characteristics of the cameras. The method can iteratively apply a machine learning process to an objective function of number and poses of cameras, and subject to a set of constraints, obtain an improved camera coverage plan. The improved camera coverage plan is provided to an installer to arrange cameras to track puts and takes of items by subjects in the three-dimensional real space.

This utility model discloses a fault detection device for a current transformer, belonging to the technical field of detection devices. This fault detection device includes a support assembly, a fault detection assembly, a visual inspection assembly, and a discharge assembly. The fault detection assembly is positioned above the support assembly, while the visual inspection assembly and the discharge assembly are respectively positioned outside the support assembly. The support assembly includes a support platform with a circular hole on one side. A placement platform is installed inside the circular hole, with its upper end extending outside the hole. The placement platform is transparent. The visual inspection assembly includes a first bracket and a second bracket, respectively positioned at the upper and lower ends of the support platform. A first industrial camera is installed inside one end of each of the first and second brackets. A geared ring is connected to the upper end of the placement platform via a bearing. A vertical plate is installed on the top surface of the geared ring, and a second industrial camera is installed inside the vertical plate.

Process for locating emission detecting camera(s) at a worksite. The process can include creating a site model, completing a camera coverage calculation loop that can include choosing a first camera location from the site model, and completing a source calculation loop to provide a plurality of coverage values of the first camera location for a plurality of potential emission sources in the site model. The process can also include calculating a coverage ratio from the plurality of coverage values to provide a first coverage ratio. The process can also include repeating the camera coverage calculation loop for an additional potential camera location from the site model to provide a plurality of coverage ratios. The process can also include creating an ordered list of the potential camera locations based on the coverage ratios. The process can also include choosing a camera position at the worksite from the ordered list.

The utility model discloses a converter smelting monitoring device, and belongs to the technical field of converter steelmaking. According to the utility model, the industrial camera is adopted to collect images in the smelting process of the converter at three specific positions, the industrial camera is placed in the protection device, the protection device can be used for preventing high temperature and dust and protecting the industrial camera, and the images collected by the industrial camera are processed by the image processing module; processed images are transmitted to the display device through the industrial personal computer to be displayed, and in addition, the converter smelting state collected by the data collection module is used for controlling switching or on-off of the industrial camera. The converter mouth flame image monitoring device is simple in structure and reliable in operation, can continuously monitor the converter mouth flame image, the converter mouth slag flow state and the converter lining form in the converter, and avoids the situation that an additional operator needs to go to the front of the converter or a tapping position for observation in the deslagging stage and the tapping stage of the converter.

The invention relates to a tracking system (100) for illuminating a performer (12) at a tracked position (T) of a performance environment (10) with a light beam from a directable light beam generator, comprising: a camera input (120) for receiving a camera stream (125) from a camera arranged to observe the performance environment, where the camera stream represents a 2D view (127) of the performance environment presented by the camera; a display output (130) for outputting a display stream (125); and a controller (110) arranged to: acquire (210) a camera placement (30) of the camera relative to the performance environment; acquiring (215) a camera orientation ([theta]) of the camera relative to the performance environment; acquiring (255) an orientable beam generator placement (20, 20 ') of the orientable beam generator relative to the performance environment; acquiring (260) an orientable beam generator orientation ([theta]) of the orientable beam generator relative to the performance environment; receiving (230) a camera stream from a camera input; acquiring a tracked position; calculating (265) a 2D projection of the light beam at the tracked location based on the tracked location, the camera placement, the camera orientation, the orientable beam generator placement, and the orientable beam generator orientation; inserting (270) a beam indicator (190, 190 ', 191) for indicating the 2D projection of the beam in the camera stream to generate a display stream, and providing (250) the display stream to a display output.

The utility model provides a camera detection tool, and relates to the technical field of camera detection. The camera detection tool comprises a supporting frame, a signal connector, a power connector, a power-on and power-off controller, an industrial personal computer, a power source and a fan module. The signal connector and the power connector are both used for being electrically connected with the camera, the signal connector is electrically connected with the industrial personal computer, the power connector is electrically connected with the power-on and power-off controller, the power-on and power-off controller is electrically connected with the power source, and the power-on and power-off controller is further electrically connected with the industrial personal computer. The supporting frame is provided with a camera containing space and an equipment installation space, the camera containing space is used for containing a camera, the signal connector and the power connector are both arranged in the camera containing space, the power source, the industrial personal computer and the fan module are all arranged in the equipment installation space, and the fan module is used for driving air in the equipment installation space to flow out of the equipment installation space. Therefore, the heat dissipation performance of the industrial personal computer and the power supply of the camera detection tool can be better, and the failure rate of the camera detection tool during power-on and power-off detection can be reduced.

The invention discloses an omnibearing high-precision three-dimensional measurement system and method, which can realize omnibearing measurement of a target object and is suitable for high-precision three-dimensional reconstruction of various objects with complex shapes. A to-be-measured target is placed on the rotary table, the three-dimensional camera is placed on the pitching cradle head, the pitching cradle head is installed on the lifting guide rail, and the motion platform carries out data acquisition on the to-be-measured target under multiple shooting view angles; the upper computer controls the rotary table to drive a to-be-measured target to rotate, and the lifting guide rail and the pitching holder drive the three-dimensional camera to lift and pitch; in the measurement process, the upper computer controls the three-dimensional camera to select an optimal measurement visual angle to measure a to-be-measured target according to a measurement strategy, a result with a poor measurement effect is measured repeatedly, and the measurement result is complemented; in the calibration process, the calibration plate is placed on the rotary table, the transverse error, the reflectivity error and the distance error of the three-dimensional camera are calibrated respectively, and measurement errors are eliminated.

The invention relates to a multitasking device 1 comprising a single drive spindle 7 capable of rotational and / or translational movements along the same axis and capable of individually cooperating with a movable member and capable of rotating and / or translating the latter and making the latter perform a given task, and a camera 83 having a depth of field and mounted so as to be movable at least between a storage position not on the axis of the single spindle 7 and an intermediate position on the axis of the single spindle 7. The spindle 7 acts on the camera 83 and is capable of moving the camera 83 to at least one focusing position in which the surface of the structure to be worked on is located within the depth of field of the camera 83;

To enable tuning of a camera to be started faster than additional learning on the basis of test data obtained after installing the camera in a specific location.SOLUTION: A learning device 111 acquires usage condition-related information associated with the usage conditions from servers 102, 103 of a user environment 101 or Websites 106, 107, 108 in a Web environment 105 on the basis of usage conditions of video analysis. From the usage condition-related information, the learning device 111 extracts item information corresponding to each image description item and generates image description data representing an image that is expected to be subject for image analysis when using video analysis using the extracted item information. Further, images for learning a model used for video analysis are generated on the basis of the image description data.SELECTED DRAWING: Figure 4

The invention relates to the technical field of camera production, and discloses a clamping control method and system for detecting a camera, and the method comprises the steps: collecting image data of a clamping device, recognizing the preprocessed image data based on a convolutional neural network, determining the type of the camera, and selecting a corresponding data set, judging whether the camera placement angle in the image data is correct or not, and starting a clamping device to perform clamping operation when judging that the camera placement angle is correct; stress values of all stress points of the camera in the clamping operation process are collected in real time, and when a certain stress point of the camera reaches the corresponding stress threshold value, the clamping device executes clamping operation again; and when all the stress points of the camera do not reach the threshold values of the corresponding stress points and the clamping opening degree reaches the set value of the clamping opening degree, the clamping work is completed. According to the invention, the camera is prevented from being damaged due to improper clamping, and the product damage rate is reduced.

The invention relates to a tracking system (100) for illuminating with a light bundle from a directable light bundle generator a performer (12) at a tracked location (T) on a performance environment (10), comprising: a camera input (120) for receiving a camera stream (125) from a camera arranged for viewing on the performance environment, wherein the camera stream represents a 2D view (127) on the performance environment of the camera; a display output (130) for outputting a display stream (125); and a controller (110) arranged for: obtaining (210) a camera placement (30) of the camera relative to the performance environment; obtaining (215) a camera orientation (φ, θ) of the camera relative to the performance environment; obtaining (255) a directable light bundle generator placement (20, 20') of the directable light bundle generator relative to the performance environment; obtaining (260) a directable light bundle generator orientation (φ, θ) of the directable light bundle generator relative to the performance environment; receiving (230) the camera stream from the camera input; obtaining the tracked location; calculating (265) a 2D projection of the light bundle at the tracked location based on the tracked location, the camera placement, the camera orientation, the directable light bundle generator placement and the directable light bundle generator orientation; inserting (270) a light bundle indicator (190, 190', 191) for indicating the 2D projection of the light bundle in the camera stream for generating the display stream; and providing (250) the display stream to the display output.

The utility model discloses a device for testing the focus of an X-ray bulb tube, which comprises a support base and a test support, the test support is fixed on the support base, the height and the angle of the test support can be adjusted, a dental film base is arranged on the test support, a handle is arranged on the dental film base, and the test support is fixed on the support base. A height fixing knob is arranged on one side of the test bracket; the slit camera is placed on an X-ray path; the dental film is positioned on the dental film base; a computer; the X-ray image processing system has the advantages that by means of optimized hardware design and advanced software control, the aims of being efficient, accurate, easy to use, high in adaptability and high in cost effectiveness are achieved, and the X-ray image processing system has wide application prospects and market value.

The utility model discloses an infrared camera calibration tool which comprises a calibration bottom plate. The to-be-calibrated infrared camera fixing mechanism is mounted on one side of the top of the calibration bottom plate and comprises an electric cylinder fixedly connected to the top of the calibration bottom plate. According to the utility model, the threaded shaft is driven to rotate through the positive and negative rotation motor, so that the optical calibration plate can be driven to perform reciprocating adjustment through the connecting slide block under the thread action of the threaded sleeve, the calibration distance can be conveniently adjusted, and meanwhile, the clamping pull rod is pulled through the pull ring, and then the clamping plate is driven to move upwards; then the infrared camera to be calibrated is placed in the fixing frame, the pull ring is loosened, so that the infrared camera can be conveniently fixed under the action of the elastic force of the clamping spring, and the height of the clamped infrared camera can be adjusted through the electric cylinder, so that the camera can be accurately aligned with the optical calibration plate; therefore, the calibration quality of the infrared camera is ensured.