306 results about "Camera control" patented technology

The invention relates to a cutting path generation system based on visual positioning, cutting equipment and a cutting method. The system comprises a scanning camera control module, an image acquisition and recognition module, an image processing module, a cutting path planning module and a cutting control module. According to the system, by combining a Laplace algorithm and an LBP and GLCM texture extraction technology, the boundary recognition problem under the condition that a pattern and a background are in the same color or low contrast is solved; the path smoothness and the cutting quality are improved by adopting contour optimization and curvature compensation algorithms, the cutting sequence is optimized by combining weighting functions of the area, complexity and overlapping degree, and material deformation is reduced. And motor driving is dynamically adjusted through PID control, and stable control over the speed of the tool bit is achieved. The method has the advantages of being high in recognition precision, high in adaptability, intelligent in path planning and stable in cutting process, the automatic cutting efficiency and the finished product quality of complex patterns or same-color materials are remarkably improved, and the overall cutting precision fluctuation is controlled within + / -2%.

The invention relates to the technical field of camera control, and discloses a megapixel camera control method based on multifunctional fusion. The method comprises the following steps: acquiring original image data of an image sensor, and preprocessing to generate an initial brightness distribution diagram; and calculating a scene dynamic range to determine a target exposure parameter set containing exposure time, a gain coefficient and an aperture value, synchronously analyzing color temperature information, matching a preset white balance model to output a correction coefficient, and combining the two to generate a first control instruction to be sent to the image sensor. Receiving a touch screen focusing signal, and extracting a focus area coordinate to adjust a stroke parameter of a focusing motor; ambient light intensity is monitored in real time, and when the ambient light intensity is lower than a preset threshold, a flash lamp compensation module is activated and a compensation light quantity value is calculated. In the photographing mode, the output power of the flash lamp is adjusted according to the compensation light quantity value, the target exposure parameter set is recalibrated based on the focus area coordinates, and the camera complex scene adaptation and imaging quality are improved.

The invention provides an intelligent camera scheduling algorithm and system based on unmanned aerial vehicle trajectory prediction, and relates to the technical field of unmanned aerial vehicle monitoring, and the algorithm comprises the steps: generating a prediction trajectory set containing space-time probability distribution based on the collected real-time flight data of an unmanned aerial vehicle in combination with a motion probability coupling model; according to the collected camera parameters and environment modeling data, generating a dynamic coverage model in combination with the prediction trajectory set; dynamically generating a target tracking priority weight based on the space-time probability distribution of the prediction trajectory set and the space coincidence degree of a preset geo-fencing region in the environment modeling data; based on the spatial constraint of the dynamic coverage model and the target tracking priority weight, generating an optimal camera scheduling scheme through a multi-target optimization method; and converting the optimal camera scheduling scheme into a camera control instruction, and performing closed-loop control based on the real-time deviation of the dynamic coverage model, thereby realizing intelligent cooperative scheduling and target tracking of the unmanned aerial vehicle monitoring system.

Systems and methods are disclosed related to a 3D grounded video foundation model. A video generation method and system provide 3D conditioning information to a video diffusion model to improve generated video quality (object and temporal consistency) that is grounded in three dimensions (3D). The video generation method and system also enable precise camera control, cinematic effects, and scene editing. Video output corresponding to a set of camera specifications is generated for a scene from input image(s) including one or more images of a static scene or a sequence of images (video) for a dynamic scene. The input image(s) are used to calculate a 3D cache representing the scene. The 3D cache is rendered according to the set of camera specifications to produce a frame sequence and a mask sequence that identifies missing pixels in each frame. The frame sequence is encoded and masked to generate the output video.

A method for generating photorealistic 4D scenes from text inputs is disclosed. The method utilizes a text-to-video diffusion model to generate a reference video and a freeze-time video. A canonical 3D representation is reconstructed using deformable 3D Gaussian Splats (D-3DGS) based on the freeze-time video. Temporal deformations are learned to capture dynamic interactions in the reference video. The method employs a novel Score Distillation Sampling strategy combining multi-view and temporal aspects to enhance consistency and robustness. The resulting 4D scenes feature multiple objects interacting with detailed background environments, viewable from different angles and times. The method enables flexible camera control and integration with augmented and virtual reality applications. Some examples include features such as image-to-4D generation.

The invention provides a data processing method and device of a camera control system, a vehicle and a storage medium. The method comprises the following steps: in response to the fact that an automatic driving domain controller is identified to be powered on, performing state detection on a cabin domain controller to obtain a first state detection result; in response to the first state detection result, determining that the cockpit domain controller is a current master control domain controller, and sending permission switching request information to the cockpit domain controller; permission switching response information corresponding to the permission switching request information is received; switching the current master control domain controller from the cockpit domain controller to an automatic driving domain controller in response to determining that the permission switching request information meets a preset switching condition based on the permission switching response information; and receiving environment image data of the camera module by using the automatic driving domain controller. According to the invention, the technical problems of high energy consumption and low response speed during data processing of a camera control system in the prior art are solved.

The invention relates to the technical field of camera control, and discloses a camera control method and system based on multi-sensor data fusion. The method comprises the following steps: collecting a multi-sensor synchronous data set, and inputting the multi-sensor synchronous data set into a deep Q network for sensor performance evaluation to obtain a performance score set; environment adaptive weight distribution is carried out based on the performance score set, and confidence coefficient weight parameters and fusion detection threshold parameters of all the sensors are obtained; performing abnormal sensor identification on the multi-sensor synchronous data set to obtain a normal working sensor identifier and an abnormal sensor isolation instruction; the multi-sensor synchronous data set is subjected to weighted fusion, target detection confidence data is obtained, a camera parameter adjusting instruction of the RGB camera is generated according to the target detection confidence data, the technical defect that a traditional method is poor in adaptability in a complex environment is overcome, and intelligent self-adaptive adjustment of the focal length, exposure and the pan-tilt angle is achieved.

The invention provides a steel surface defect detection and identification system and method based on a deep learning YOLOv8 model, and the system comprises an industrial camera which is disposed in a to-be-detected region of a steel production line and is provided with a high-brightness light source. The system is characterized by further comprising an image acquisition module, a fault detection module, a defect identification module and a man-machine interaction module which run on a computer and are connected with the industrial camera control system, and the method comprises the following steps: S1, system initialization, S2, image acquisition, S3, image preprocessing, S4, feature extraction and fusion, S5, defect identification and classification, and S6, result output and interaction. Automatic and precise steel surface defect detection and recognition of the whole process from image acquisition, defect detection to result output are achieved, manual visual judgment is not needed, detection standards are unified, the problem of unstable detection caused by manual experience differences is avoided, the labor intensity of operators is reduced, enterprise losses caused by defective steel circulation are avoided, and the production efficiency is improved. Reliable data support is provided for production process optimization, and the steel quality is guaranteed.

The invention relates to the technical field of multi-modal data processing, and discloses a camera control method and device based on multi-modal scene recognition, and the method comprises the steps: obtaining a multi-modal data stream containing vision, environment and vibration sensor delay data, and integrating and calculating a current scene modal distribution result; according to the monitoring data flow speed, identifying an abnormal scene to obtain an abnormal identification result; analyzing data real-time requirements, improving priority features, adjusting acquisition parameters, and forming an adjusted acquisition strategy; optimizing a transmission queue based on a strategy, extracting buffer data and simplifying the buffer data; generating a control instruction according to the simplified data, and issuing the control instruction to obtain a real-time feedback loop result; data streams are collected again and sorted for the second time, and an optimized multi-modal fusion sequence is obtained through integration; calculating an abnormal risk level, and combining with the simplified data to obtain an abnormal recognition enhancement result; and a final control instruction is generated and issued, and final decision data is fed back and generated. According to the method, scene changes can be dynamically adapted, and the anomaly recognition accuracy and the camera control timeliness are improved.

The invention discloses a high-speed camera for semiconductor graph-free dark field detection and a detection method, and relates to the technical field of semiconductor detection, and the method comprises the steps: integrating an adjustable laser light source array, a high-performance TDI camera and a pre-scanning sensor, carrying out the brightness information collection of a pre-scanning region, and generating a pre-scanning reflectivity graph; sequentially irradiating a pre-scanning area with different illumination light through an adjustable laser light source array, generating a plurality of scanning images, and extracting features to generate a multi-modal differential feature field; predicting a main defect type in the region through a multi-mode illumination and defect feature collaborative enhancement algorithm to generate a corresponding illumination mode instruction; calculating an optimal TDI parameter through a TDI parameter dynamic modulation algorithm to generate a TDI camera control instruction; and scanning the wafer according to the two instructions, collecting original image data, inputting the original image data into the depth defect classification model, and outputting a defect information graph and corresponding information. The invention aims to solve the problem that semiconductor detection precision and efficiency are difficult to balance.

The invention relates to a camera point location offset detection and automatic calibration method suitable for high-voltage equipment monitoring. The method comprises the following steps: constructing current preset bit reference primitive information; constructing a mapping relation between a unit PT step length and an imaging space in the current scene; constructing a multi-layer surrounding type auxiliary reference primitive information matrix; judging whether the camera deviates or not; searching optimal matching meta-information; and calculating a deviation rectification PT value, and carrying out PTZ camera control and deviation rectification. According to the method, high-precision automatic correction of the preset position of the camera in high-voltage equipment monitoring is realized, key feature points of power equipment can be stably extracted in a complex field environment by fusing local feature matching and a dynamic key point selection mechanism, and the matching accuracy is greatly improved; actual deployment shows that the repeated positioning precision of the preset position can be improved to + / -2 pixels from original + / -15 pixels, the manual rechecking frequency is remarkably reduced, and differential requirements of equipment of different voltage grades on the inspection precision are met.

The invention discloses a camera shooting control method and device using an optical fiber signal, equipment and a medium. After the system is powered on, the upper computer sends control commands such as communication and triggering, the control commands are converted into optical signals through the electro-optical conversion module, the optical signals are sent to controlled equipment (including a camera unit, a light source unit and an aperture unit) through optical fibers (plastic optical fibers and silica optical fibers), the optical signals are converted into electric signals through the photoelectric conversion module, and the system works based on the control commands. Operation such as camera exposure, light source flashing and aperture opening and closing is achieved, and ideal control states of good image sensitization, light source synchronization and moderate aperture are achieved. Compared with a traditional control mode that electric signals are transmitted through cable media, optical signals are transmitted through the optical fiber media, the electromagnetic interference influence can be reduced, the transmission distance is longer, the cable weight is lighter, the error control probability is reduced, and the overall system robustness is effectively improved.

The invention discloses a video generation method and system based on a scene adaptive track and mirror moving control, and belongs to the technical field of computer vision. The method comprises the following steps: firstly, aligning a scene point cloud and a parameterized human motion sequence to a unified coordinate system, generating a ground adaptive three-dimensional track according to a two-dimensional track input by a user and scene geometry, and redirecting the motion; projecting the three-dimensional information into a two-dimensional condition graph based on camera parameters; and finally, in a conditional diffusion model generation process, selectively fusing scene geometric condition information after noise addition into the current denoising latent variable by utilizing a visibility mask generated by the depth map, so as to realize view angle self-adaptive mirror operation control. According to the method, the problems of conflict between character motion and scene, inflexible track control and inconsistent background under camera motion are solved, and a controllable video which is physically consistent and visually real can be generated.

An imaging system is provided that includes a video endoscope having a handle and an endoscope. The endoscope includes an image sensor fixedly mounted within the endoscope. The capacitive sensing unit is disposed along an outer surface of the handle. The capacitive sensing unit includes a plurality of capacitive sensors disposed on an outer surface of the handle. The handle includes an electronic controller operable to process actuation of the plurality of capacitive sensors in order to control the camera control function and determine the medical procedure and / or the identity of the user.

Systems and methods employing a surgical robotic surgeon console with a display for use by a surgeon in a remote surgery are provided. The surgical robotic surgeon console includes a console frame and a horizontal member connected to the console frame. the horizontal member extending outwardly from the console frame and positioned above the display. Also provided is a head bar mounted on the horizontal member and the head bar configured to support a user's head relative to the display. Also provided is a system for camera control based at least in part on live gaze location information.

The invention belongs to the field of panoramic stitching digital image processing technologies and camera ISP technologies, and particularly relates to a chromatic aberration consistency control method based on front and rear end collaboration. The method comprises the following steps: 1, acquiring statistical information of multiple cameras; step 2, acquiring a current camera control parameter by adopting a front-end chromatic aberration consistency adjustment algorithm; 3, the current camera control parameters are issued to all the cameras, and all the cameras complete exposure imaging according to the current camera control parameters; step 4, acquiring an overlapped part image in each path of camera imaging; step 5, calculating a statistical histogram cumulative distribution function of overlapped part images in each path of camera imaging; step 6, calculating a histogram matching function according to the cumulative distribution function of the overlapped part images in each path of overlapped camera imaging, so that the histograms of the overlapped parts of the two images tend to be consistent; and step 7, according to the obtained histogram matching function, transforming the brightness channel of each pixel in the corresponding camera imaging to complete color difference consistency correction.

The utility model discloses a DSP camera control circuit of golf simulation system detector, 40 feet, 59 feet, 65 feet, 68 feet, 87 feet, 77 feet, 66 feet, 67 feet of blackfin digital signal processor U2 respectively correspond to be connected with resistance R2, resistance R3, resistance R4, resistance R5, resistance R6, resistance R7, resistance R8, resistance R9, 8 feet, 10 feet, 28 feet, 24 feet, 25 feet, 32 feet, 33 feet, 30 feet, 31 feet of CMOS image sensor U4 respectively correspond to be connected with resistance R12, resistance 13, resistance 14, resistance R15, resistance R16, resistance R17, resistance R10, resistance 11, resistance 19, the 23 feet of CMOS image sensor U4 is connected with CMOS logic chip U5, and the 5 feet of CMOS logic chip U5 connects electrolytic capacitor C2 and power supply end CAM3V3, and the resistance R18 is connected between the 1 foot and 3 feet of CMOS logic chip U5, and the 26 feet, 22 feet, 23 feet of CMOS image sensor U4 respectively correspond to be connected with resistance R20, resistance 21, resistance 22, and the resistance of the product plays current -limiting protection and impedance matching, and the protection circuit is prevented from being damaged.

Disclosed are a multi-camera control method, apparatus, and device, and a storage medium, relating to the field of intelligent driving. The method comprises: determining an interrupt pin state used to trigger an interrupt in a deserializer; in response to the interrupt pin state indicating that at least one camera among a plurality of cameras is in a disconnected state, determining port states corresponding to the cameras at a first moment; and in response to the port state corresponding to a first camera among the plurality of cameras at the first moment switching from a disconnected state to a connected state, restoring data output of the first camera. According to the technical solution of the present disclosure, the connection status of each camera is determined only when a hot-plug action occurs, and corresponding data output is restored when the camera switches from a disconnected state to a connected state, thereby saving processor resources. In addition, the port states corresponding to the plurality of cameras can be determined simply by means of one interrupt pin in the deserializer, thereby significantly reducing the consumption of hardware resources.

A device for detecting the surroundings of a vehicle and a method for detecting the surroundings, and a vehicle designed to carry out said method comprise a camera module, a camera control apparatus, an analysis unit and an illumination device. The illumination device is formed by a matrix headlight of the vehicle and is designed such that it can project a light pattern into the surroundings. The projected light pattern is imaged in the detection region of the camera module and the 3D position of measurement points formed by the light pattern in the surroundings is determined by the analysis unit. However, the illumination device projects the light pattern only into regions of the surroundings in which the analysis unit has ascertained, based on image data, a value that is critical for 3D position determination.

A camera controller for providing a camera control signal for commanding movement of a camera 1, comprises: an input device (e.g. joystick 6 or touch sensitive input) capable of sensing input position

The present application discloses a control method, electronic device, and computer-readable storage medium for a multi-lens camera. The control method includes: in response to an update of at least one of the first control parameters of a first lens, updating the installation angle of the first lens according to the updated first control parameter of the first lens; updating the installation angle of the second lens according to the updated installation angle of the first lens; determining whether the target height of the second lens needs to be updated; in response to the target height of the second lens not needing to be updated, updating the installation distance of the second lens according to the target height of the second lens; otherwise, updating the installation distance and target height of the second lens according to the length of the line segment between the vertex of the monitoring target corresponding to the second lens and the second lens, the vertical field of view angle of the second lens, and the installation angle of the second lens. The method of the present application can automatically determine the control parameters of the associated second lens when the control parameters of the first lens change.

This camera control program causes a computer to execute a process for acquiring a captured image from a camera and, when controlling panning of the camera in accordance with the position of an imaged object in the captured image, permitting panning control only in a predetermined direction.

Systems and methods for contextual camera controls during a collaboration session in a heterogenous computing platform are described. In an embodiment, an Information Handling System (IHS) may include: a heterogeneous computing platform comprising a plurality of devices and a memory coupled to the heterogeneous computing platform, where the memory comprises a plurality of sets of firmware instructions, where each set of firmware instructions, upon execution by a respective device, enables the respective device to provide a corresponding firmware service, and where at least one of the plurality of devices operates as an orchestrator configured to: determine a location of the IHS during a collaboration session, and in response to the determination, change a camera setting.

The utility model relates to a camera control circuit which comprises a first voltage transformation circuit, a second voltage transformation circuit, a main control circuit and a motor driving circuit. Wherein the first voltage transformation circuit is used for being connected with an external power supply so as to take electricity from the external power supply and output first working voltage, and the first working voltage is provided for the motor driving circuit; the second voltage transformation circuit is connected with the first voltage circuit and used for taking electricity from the first voltage circuit and outputting a second working voltage, and the second working voltage is provided for the main control circuit; the main control circuit is connected with the motor driving circuit, the motor driving circuit is at least used for controlling the camera to switch the shooting position, and the problems that in the prior art, a traditional camera control circuit is high in power consumption, low in response speed, insufficient in control precision and the like are solved.

A method and apparatus for controlling an angle-of-view, and an electronic device and a storage medium, which relate to the technical field of games. In the present solution, in a game editing stage, a player can configure, in a customized manner in a first graphical user interface, camera control parameters of a target event for controlling a photographing angle-of-view of a virtual camera to adjust; when the player is in a game running stage and desires to adjust the current photographing angle-of-view of the virtual camera, the player can perform a trigger operation on a pre-configured target event; and in this case, a terminal device responds to the trigger operation of the player on the target event, controls, on the basis of the camera control parameters of the target event, the virtual camera to adjust the photographing angle-of-view, and displays in a second graphical user interface a second game picture captured at the adjusted photographing angle-of-view. A customizable photographing angle-of-view switching function is provided for players, so as to satisfy the needs of the players to further observe game scenes in their own desired ways, thereby providing a diversified and customizable visual experience for the players. (FIG. 1)

An adjustable camera system comprises a camera, a mounting assembly and a controller. The mounting assembly is coupled to the camera and adapted to raise and lower the camera. The controller is configured to use an image of an object from the camera to determine whether the camera is at an optimal position from the object. If the controller determines that the camera is not at the optimal position, the controller sends a signal to the mounting assembly to raise or lower the camera.

The invention discloses a camera shooting control method, a related device, a camera shooting device and a storage medium, and the method comprises the steps: obtaining the intensity of ambient light; detecting whether the ambient light intensity is within a light intensity range defined by a scenarized parameter library; wherein the scene parameter library comprises preset shooting parameters matched with the shooting scenes, each shooting scene is defined by different light intensity intervals, and a union set of the light intensity intervals is a light intensity range; in response to the situation that the ambient light intensity is located in the light intensity range, searching a target shooting parameter matched with the ambient light intensity based on a scenarized parameter library; and in response to the ambient light intensity exceeding the light intensity range, calculating a target shooting parameter based on the ambient light intensity. According to the scheme, the response speed and the adjustment precision can be improved on the premise that the adaptive adjustment of the shooting parameters is met.

1. The name of the design product: handheld gimbal camera control box. 2. The use of the design product: for connecting with handheld gimbal camera, charging handheld gimbal camera and realizing two-way data transmission. 3. The design points of the design product: in shape. 4. The picture or photo best indicating the design points: perspective view.

The present invention relates to the field of pan-tilt tracking camera technology, and specifically to a tracking camera control method and system for a live pan-tilt platform, comprising a base, a rotating component, a rotating column, a mounting unit, a camera, a support unit, a control module and a rotating assembly; the rotating assembly comprises two clamping rods, a plurality of rebound limit blocks and two damping units. During rotation, the rotating column drives the two clamping rods to rotate inside the support unit, so that the clamping rods continuously move between the plurality of rebound limit blocks, contact with the inclined surface to push the plurality of rebound limit blocks to shrink and rebound in sequence. When an emergency stop occurs, the clamping rod loses driving power, which is not enough to continue to push the rebound limit blocks to compress, and is then restricted between two adjacent rebound limit blocks to avoid excessive rotation. At the same time, the damping unit also buffers the clamping rod, thereby relying on the rebound limit blocks to limit the camera that stops suddenly, limit the rotation distance, and avoid excessive rotation.

The invention provides a streaming media rearview mirror imaging control system, method and device and a storage medium. The system comprises a rearview camera, an intelligent driving domain control module, a main control module and a streaming media rearview mirror. The main control module is configured to issue a frame freezing instruction before the intelligent driving domain control module is started, issue an exposure mode switching instruction after the streaming media rearview mirror executes the frame freezing instruction, and issue a frame recovery instruction after the intelligent driving domain control module executes the exposure mode switching instruction; the streaming media rearview mirror is configured to continuously output a current frame of vehicle rear image as a cache frame after receiving a frame freezing instruction, and start to output the current frame of vehicle rear image in real time after receiving a frame recovery instruction; and the intelligent driving domain control module is configured to switch the rearview camera to external automatic exposure after receiving the exposure mode switching instruction. The problem that when the intelligent driving domain control module takes over the control right of the camera, the brightness of the image of the streaming media rearview mirror changes can be solved.