58 results about "Frame grabber" patented technology

The invention provides an image acquisition card multi-mode identification method and system based on intelligent security and protection. The method comprises the following steps: acquiring a multi-mode original data stream according to a global clock signal of an image acquisition card; performing space-time calibration on the multi-modal original data stream to generate a synchronous multi-modal data queue; extracting a multi-modal feature tensor of the synchronous multi-modal data queue through data preprocessing; performing hierarchical attention fusion on the multi-modal feature tensor to generate a fusion feature matrix; performing channel pruning on the fusion feature matrix through a lightweight convolutional neural network, and constructing a target detection model; and determining a detection result corresponding to the multi-modal original data stream according to the target detection model. Through the synergistic effect of a global clock signal and a dynamic space-time calibration algorithm, a time synchronization and space alignment compensation mechanism is constructed in a multi-modal data stream, and the problem of multi-modal information complementary advantage attenuation caused by space-time mismatch is effectively solved.

The invention relates to the technical field of image processing, and discloses an image processing method and device for an image acquisition card, and the method comprises the steps: converting an input optical signal into original image data through a sensor array of the image acquisition card, and carrying out the preprocessing, and obtaining a preprocessed image sequence; constructing an image state space model and a color measurement noise model based on the preprocessed image sequence, and performing preliminary denoising on the preprocessed image sequence to obtain a bidirectional time sequence feature tensor; inputting the bidirectional time sequence feature tensor into an additive fusion bidirectional time convolutional neural network for feature extraction to obtain a comprehensive spatial-temporal feature and a confidence map; according to the method, gradient descent image processing parameter optimization is carried out according to the comprehensive spatial-temporal characteristics and the confidence map, optimal processing parameters of the image acquisition card are obtained, and a target output image is generated, and the method improves the image definition and the detail retention capability in a dynamic scene, and improves the robustness of image processing.

The invention relates to a data fusion method based on a multi-channel image acquisition card and related equipment, and the method comprises the following steps: synchronously receiving a multi-view target scene shot by a camera through the multi-channel image acquisition card, and obtaining original multi-channel image data; performing geometric correction on the original multi-channel image data to obtain a geometric correction image group, and performing space-time coordinate conversion based on the geometric correction image group to obtain a space-time registration image group; performing cross-scale feature aggregation on the space-time registration image group to obtain a multi-scale feature pyramid layer, and constructing a multi-scale feature pyramid based on the multi-scale feature pyramid layer; and carrying out adaptive weight convolution fusion on the multi-scale feature pyramid to generate a target fusion image, thereby solving the technical problems that most methods depend on a complex preprocessing process or have relatively strong hypothesis for a specific scene and are difficult to adapt to a dynamically changing real environment.

The invention relates to the technical field of image acquisition and testing, and discloses an image acquisition and testing method, device and equipment and a storage medium, and the method comprises the steps: collecting a standard test card image through an image acquisition card in a multi-stage standard illumination environment, and calculating sensitivity benchmark test data; executing time domain and space domain combined sampling processing to obtain super-sensitivity image data; performing brightness analysis and dynamic adjustment on the currently shot first scene image to obtain a first image acquisition parameter; acquiring a second scene image, and performing image grid division and contrast compensation on the second scene image to obtain an enhanced image after contrast compensation; according to the super-sensitivity image acquisition method and the super-sensitivity image acquisition device, the sensitivity limitation of the position depth of a traditional image acquisition card is broken through, and super-sensitivity image acquisition is realized.

The invention relates to the technical field of visual navigation, and discloses a visual navigation AGV (Automatic Guided Vehicle) transportation system, which comprises a visual guidance module, a driving module, a path planning and control module and an obstacle avoidance and safety module, the visual guidance module is responsible for acquiring real-time image or video data of an environment through a camera and transmitting the real-time image or video data to the path planning and control module, and comprises a 3D deep high-definition camera, an image acquisition card, an image processor and a display screen; the driving module is responsible for driving the AGV to move according to the control instruction, so that the AGV moves along a predetermined path, receiving speed and direction instructions from the path planning and control module, and executing the instructions; the path planning and control module is responsible for receiving environment data from the visual guidance module and calculating an optimal driving path in combination with a built-in algorithm; the obstacle avoidance and safety module is used for detecting and preventing the AGV from colliding with an obstacle in the driving process. The material carrying device has the advantage of meeting the material carrying requirement under the complex and changeable environment.

The invention relates to the technical field of image acquisition, and discloses an image acquisition method and device based on a multi-channel image acquisition card. The method comprises the following steps: inputting multiple paths of image signals into a multi-channel image acquisition card for signal conditioning to obtain digital image data; performing adaptive gain control on the digital image data to obtain gain-adjusted image data; carrying out digital filtering, image enhancement and feature extraction on the image data of which the gain is adjusted to obtain processed image data; performing definition evaluation, noise evaluation and dynamic range evaluation on the processed image data to obtain an image quality evaluation status word; and performing hierarchical storage on the processed image data according to the image quality evaluation status word to obtain distributed storage image data, thereby improving the real-time processing capability and data management efficiency of the multi-channel image acquisition card.

The invention relates to a hearth temperature measuring system, which comprises a video monitoring module, an image monitoring module, an integrated sensor platform and a central processing unit (CPU), and is characterized in that the video monitoring module comprises at least one high-temperature camera, a video signal processing device and a display which are arranged in a boiler hearth; the high-temperature camera collects a flame video in the hearth and transmits the flame video to the display through the video signal processing device; the image monitoring module comprises an image acquisition card, a field programmable gate array (FPGA) and a graphic processing unit (GPU); the image monitoring module is used for acquiring image data in the hearth from a flame video in the hearth and transmitting the image data to the central processing unit (CPU); the integrated sensor platform comprises a plurality of different types of sensors, and each type of sensor is used for collecting operation parameters of the corresponding type of the coal-fired unit and transmitting the operation parameters to the central processing unit; and the central processing unit CPU outputs hearth temperature measurement data through the image data in the hearth and the operation parameters of the coal-fired unit.

The invention discloses a data encryption method, which comprises the following steps that: a Web server sends a private key to a display card, then sends the private key to an image acquisition card and then sends the private key to a database server, and the database server encrypts a result of querying a database by using the private key and sends the encrypted result to the display card; according to the technical scheme of the invention, the data output by the Web server is encrypted through the video card / image acquisition card, then the database server sends the encrypted data to the Web server through the video card / image acquisition card, and the Web server sends the encrypted data to the user computer, and the method has the advantages that after the technology is used, the data output by the Web server is encrypted, and the data in the database server is safe, so that the data is very effectively protected.

The application relates to an online monitoring device and method for microelectrodes, and belongs to the technical field of special machining.The online monitoring device is composed of a coaxial holographic imaging module, an LED backlight imaging module, a motion control module, an image acquisition card, a laser power controller and an LED brightness controller.The LED backlight imaging module is used for positioning the microelectrode image; the coaxial holographic imaging module is used for holographic interference imaging of the microelectrode; based on a holographic reconstruction algorithm, electrode profile information is obtained, and the electrode loss degree is judged.The coaxial holographic imaging module and the LED backlight imaging module switch the positions of the reflecting mirrors through the motion control module to realize control of different imaging modes; the collected images are input into a PC through the image acquisition card, image algorithm analysis is carried out, and the microelectrode loss degree is judged.The application realizes online monitoring of the microelectrode loss.

The invention relates to a carbon fiber cloth surface defect detection device based on artificial intelligence. The technical problem of how to improve the accuracy and speed of carbon fiber cloth surface defect detection is solved. The carbon fiber cloth surface defect detection device comprises a CIS line-scan digital camera, an image acquisition card and a controller, the CIS line-scan digital camera is arranged above carbon fiber cloth, the image acquisition card is electrically connected with the controller, the CIS line-scan digital camera is electrically connected with the image acquisition card, and the carbon fiber cloth surface defect detection device is configured to detect white point defects and judge white points according to gray values of images acquired by the CIS line-scan digital camera. The method is widely applied to a carbon fiber cloth production process.

The invention provides a color box printing system based on dual induction, and belongs to the technical field of color box printing. Comprising an optical sensing module which is used for collecting optical information of a printing pattern and monitoring the printing quality in real time; the optical sensing module internally comprises a high-resolution color camera, a spectrum analyzer and an image acquisition card, the high-resolution color camera is used for shooting a printed pattern to obtain pattern detail information, and the spectrum analyzer is used for analyzing spectrum information of the printed pattern to detect color related indexes; and the image acquisition card is used for transmitting image data shot by the high-resolution color camera and spectral data analyzed by the spectrum analyzer. Through cooperation of all structures in the optical sensing module, the pressure sensing module and other modules, real-time collection and monitoring of printing pattern optical information are achieved, and the purpose of guaranteeing the printing quality is achieved.

The invention discloses intelligent manufacturing industrial machine visual inspection equipment, which belongs to the technical field of visual inspection, and comprises the following structures: an equipment platform, which comprises a mechanical conveying table and a detection platform; the linear array industrial camera is located above the detection platform, and a strip-shaped detection light source is arranged above the linear array industrial camera; the detection system comprises a pulse encoder, an image acquisition card and an industrial processor, vamp images are scanned and acquired through a linear array industrial camera, algorithm detection and automatic identification are performed on image data through the image acquisition card and the industrial processor, qualified vamps are automatically detected and identified, and quantity statistics and identification are performed on unqualified vamps; manual visual inspection and statistical screening are replaced, so that full-automatic vamp defect detection is realized.

The present application discloses an industrial camera power supply circuit and method. The industrial camera power supply circuit is electrically connected to the Camera link interface of an image acquisition card. The industrial camera power supply circuit includes a power output module, a load detection and determination module, and a control module. Among them, the power output module is electrically connected to the control module, the load detection and determination module, and the Camera link interface of the image acquisition card respectively. The load detection and determination module is electrically connected to the control module. The load detection and determination module is used to judge the category of the camera, and the control module is used to control the power output module to output a power supply matching the category of the camera to the Camera link interface of the image acquisition card according to the category of the camera. The industrial camera power supply circuit of the present application transmits the power supply on the image acquisition card to the camera interface through the Camera link interface of the image acquisition card to provide power for the camera, which is convenient to use and does not require additional laying of industrial camera power cables.

A computer vision-based floating bridge linear automatic control system disclosed by the present invention comprises a shore-based control end and a plurality of pontoon control ends, the shore-based control end is arranged on a river bank, the shore-based control end comprises a camera, an image acquisition card and an industrial computer, and the pontoon control ends are respectively arranged on each pontoon and are located at the same side. The pontoon control end comprises targets located on pontoons, an environment data acquisition unit and a driving unit used for driving the pontoons to move, the camera is used for monitoring and capturing images of the targets on the pontoons, and the image acquisition card converts the images into digital signals and transmits the digital signals to the industrial computer; the industrial computer is used for analyzing the image, judging whether the linear deviation of the floating bridge exceeds a preset threshold value or not, controlling the environment data acquisition unit to acquire information according to a judgment result, and controlling the driving unit to drive the floating pontoon to move and adjust after analysis. According to the invention, automatic monitoring and adjustment of the line type of the floating bridge are realized, the adjustment efficiency and accuracy are improved, and the stability and safety of the floating bridge are enhanced.

The invention discloses a lifting platform personnel monitoring start-stop system and start-stop method, the lifting platform personnel monitoring start-stop system comprises an industrial camera, a PLC and a main power supply, the output end of the industrial camera is connected with the input end of an image acquisition card, the output end of the image acquisition card is connected with the input end of the PLC, and the output end of the PLC is connected with a driving mechanism of a lifting platform. According to the invention, a real-time image on a lifting platform is collected through a camera; judging whether a person exists on the lifting platform or not; when it is detected that people, electric vehicles or dangerous goods exist on the lifting platform, the lifting platform is controlled to stop working, and meanwhile the alarm gives an alarm; when it is detected that no personnel, electric vehicles or dangerous goods are on the lifting platform, the lifting platform continues to work, and meanwhile the alarm stops alarming; according to the invention, personnel are prevented from using the goods elevator illegally, and the problem of casualties is solved.

The utility model discloses a control circuit, a control system and a detection system of a line scanning camera, which are used for solving the problem of low line scanning efficiency when a fixed frame mode is used for linearly scanning a wafer. The control circuit comprises a position encoder and an image acquisition card; one end of the position encoder is connected with the image acquisition card; the other end of the image acquisition card is connected with the industrial computer.

The utility model discloses a boost adapter plate for testing a camera module, which comprises an adapter box, a box cover is arranged at the top of the adapter box, a bottom plate is arranged at the bottom of the adapter box, supporting blocks are fixedly connected to four corners in the adapter box, an adapter plate is arranged at the tops of the supporting blocks, and an acquisition card is inserted into one side of the top of the adapter plate. One end of the acquisition card is connected to the side wall of the transfer box through a data interface, two wire drawing ports are formed in the surface of the bottom plate, and push plates are mounted on the inner sides of the wire drawing ports; according to the boost adapter plate used for testing the camera module, the test requirement of the camera module is met by expanding the output voltage of the existing image acquisition card, and the requirement of part of the camera module on higher voltage can be met by switching between 2.8 V and 4.2 V voltage without developing and importing an additional image acquisition card and an external voltage stabilization source.

The invention relates to the technical field of image acquisition and transmission, and discloses a high-resolution image acquisition and transmission method and device, equipment and a storage medium. The method comprises the following steps: performing multi-stage downsampling and feature extraction processing on a high-resolution original image acquired by an image acquisition card to obtain global image features and regional image features; performing random delay and data loss characteristic analysis on historical communication data of the image acquisition card to obtain a probability distribution model and a continuous data loss record; performing multi-scene prediction on the future transmission state of the image acquisition card to obtain prediction state information; and generating a self-adaptive transmission control strategy according to the prediction state information, the global image features and the regional image features, and executing a high-resolution image transmission process to obtain a high-resolution image transmission result. According to the method, the optimal distribution of transmission resources is realized on the premise of ensuring the image quality, and the problem of insufficient adaptability of traditional fixed parameter control in a complex network environment is solved.

The utility model discloses an active focusing device for a camera and camera assembling equipment. The active focusing device for the camera comprises a rack, a lens clamping mechanism and a visual centering mechanism, the lens clamping mechanism comprises a visual centering channel; the visual centering mechanism comprises an image acquisition card, a first image acquisition device, a teleconverter and a second image acquisition device; the image acquisition card, the first image acquisition device, the teleconverter, the visual centering channel and the second image acquisition device are sequentially arranged along a first direction; the image acquisition card is provided with an alignment mark; the first image collector is arranged on the rack in a sliding manner and is provided with a first collection port facing the visual centering channel; the teleconverter is arranged on the rack in a sliding manner; the teleconverter is centered with the visual centering channel along a first direction through the first image collector; the second image collector is provided with a second collection port facing the visual centering channel and the alignment mark; the image acquisition card is mounted on the rack in a position-adjustable manner; and the lens clamping mechanism is centered with the alignment mark along the first direction through the second image collector.

The utility model relates to the technical field of dimming film production, and discloses a film laminating machine for dimming film production, which comprises a film laminating machine body, a base and a detection mechanism, the base is fixedly arranged at the bottom end of the film laminating machine body, the detection mechanism is fixedly arranged at the top end of the base, and an auxiliary mechanism is fixedly arranged at the upper end of the detection mechanism; the detection mechanism comprises mounting rods, a first gear motor, a conveying belt, a U-shaped plate, an industrial camera, a light supplementing lamp, an image acquisition card, a PC controller and a supporting rod, the mounting rods are fixedly arranged on the two sides of the top end of the base, and the first gear motor is fixedly arranged on one side of each mounting rod; and the output shaft end of the gear motor I penetrates through the mounting rod and is fixedly provided with a conveyor belt. According to the film laminating machine for producing the light adjusting film, by arranging the detection mechanism, quality detection can be conveniently conducted on the produced light adjusting film, defective products with scratches and bubbles can be conveniently removed in time, the product quality is guaranteed, the working efficiency is improved, and the practicability is improved.

A system and a method for 3D surface imaging of a 3D object, the method comprising directing a light beam to a digital micromirror device that displays binary fringe patterns, converting the binary fringe patterns to grayscale fringe patterns at an intermediate image plane; rotating the grayscale fringe patterns onto the intermediate image plane to match an aspect ratio of the object, projecting the greyscale fringe patterns from the intermediate image plane to the object, capturing deformed structure images reflected by the object; and transferring the captured images to a computer connected to a frame grabber.

The invention discloses a regional slow and small target group tracking method, which mainly solves the problem of low real-time performance of multi-target tracking of a large-size image and improves the visible light target detection and tracking capability of a target range. The implementation scheme is as follows: 1, an image acquisition card acquires a high-resolution visible light grayscale image in real time; 2, each frame of image is divided into a plurality of areas, a plurality of threads are started at the same time, and target detection and tracking are carried out on each area image block through one thread; performing synchronous processing on the main thread and the plurality of sub-threads; 3, using a constrained local adaptive threshold method to detect a target group for the image block; 4, performing target group tracking on a detected target group in a single image block by adopting Kalman filtering and a Hungary algorithm; 5, when the target moves across the seam, unified target tracking ID processing is carried out on the target at the seam; and 6, outputting the miss distance and the gate of each frame of target group. According to the invention, dynamic scene aerial target group detection can be realized, the tracking processing time of a large-size image is reduced, and the detection and tracking capability of a visible light target in a target range is improved.

The invention discloses a shock wave energy measurement system and method based on Raman Nesss diffraction. In the system, a laser is used for generating near-infrared laser; the neutral density optical filter is used for attenuating the light intensity of the near-infrared laser; a probe of the shock wave therapeutic apparatus is placed in the water tank, and the generated shock wave enables incident laser to generate Raman Nesses diffraction to form a plurality of diffraction laser light paths; the convex lens is used for collecting the multiple diffraction laser light paths; the linear array image sensor is used for detecting the intensity of the laser passing through the convex lens and converting the intensity into an analog voltage value; the image acquisition card is used for sampling the analog voltage value into a digital voltage signal, obtaining a diffraction laser digital image and then sending the diffraction laser digital image to the upper computer; and the upper computer is used for receiving and analyzing the diffraction laser digital image and calculating to obtain the energy density of the shock wave. The accuracy and reliability of shock wave measurement are improved.

The application discloses a kind of floating bridge linear automatic control system based on computer vision, including shore-based control end and several floating ship control ends, shore-based control end is set in river bank, shore-based control end includes camera, image acquisition card and industrial computer, floating ship control end is respectively set on each floating ship and is located in same side, floating ship control end includes target on floating ship, environmental data acquisition unit and drive unit for driving floating ship to move, camera is used to monitor and capture target image on several floating ships, and image is converted into digital signal by image acquisition card and transmitted to industrial computer, industrial computer is used to analyze image and judge whether floating bridge linear deviation exceeds preset threshold, and according to the judgment result, environmental data acquisition unit is controlled to collect information, and industrial computer is analyzed to control drive unit to drive floating ship to move adjustment.The application realizes the automatic monitoring and adjustment of floating bridge linear, improves the adjustment efficiency and accuracy, enhances the stability and safety of floating bridge.

The invention discloses a hardness indentation measurement method based on artificial intelligence image segmentation, which comprises the following steps of: 1, acquiring an image of a measured object through a CCD (Charge Coupled Device) camera, and transmitting the acquired image of the measured object to a computer; step 2, in a computer, an image acquisition card is responsible for acquiring and transmitting an image and transmitting the acquired image to an image segmentation module, the image segmentation module segments an original image and segments the image into different areas, and each area represents a potential hardness indentation; step 3; step 4, dynamic automatic measurement is realized; 5, generating a corresponding indentation dynamic measurement report; 6, outputting the dynamic indentation measurement report through a computer, and displaying the dynamic indentation measurement report to a user; according to the method, the image segmentation technology is adopted, the image can be accurately segmented into different areas, potential hardness indentations can be identified and detected, and compared with a traditional manual measurement mode, higher measurement precision can be provided.

The invention relates to a water-cooled wall lower header deformation measurement method and system, terminal equipment and a medium, and the method comprises the following steps: employing a CCD camera to carry out shooting perpendicular to the surface of an original lower header, and taking the shot image as a reference image; when the lower header is subjected to deformation measurement, an image is collected through the CCD camera and serves as a deformation image; calculating a position difference, and determining displacement distances in the x direction and the y direction; calculating a displacement partial derivative by using a numerical method so as to obtain strain of the lower header; according to the invention, the LED light source, the CCD camera, the image acquisition card and the computer are integrated, and all the components work cooperatively to form a complete measurement system. The integrated design enables the measurement process to be more convenient and efficient, reduces the connection and debugging work between different devices, and improves the reliability and stability of measurement.

The utility model discloses a visual agv loading and unloading storage location state detection system, which belongs to the technical field of storage location state detection and comprises a loading and unloading storage location and a computer, the loading and unloading storage location is composed of a plurality of material storage locations, and four corners of the loading and unloading storage location are respectively provided with a DM two-dimensional code plate containing storage location definition information. A signboard is arranged in each material storage location of the feeding and discharging storage locations, and a storage rack fixedly connected to the ground is arranged above the feeding and discharging storage locations. The DM two-dimensional code of the DM two-dimensional code plate is collected through the industrial camera, the DM two-dimensional code is transmitted to the computer through the image collection card to generate a storage location grid chart of the feeding and discharging storage locations, the identification of each material storage location of the feeding and discharging storage locations is collected through the industrial camera, and the identification is transmitted to the computer through the image collection card to generate material storage state information of each material storage location. The automatic detection of the state information of the loading and unloading storage locations for agv carrying can be realized, and compared with the prior art, the labor cost of agv carrying can be saved.

The utility model discloses an image acquisition card and an image acquisition system, and the image acquisition card comprises an optical module which is used for transmitting image data acquired by an industrial camera to a data processing chip; the data processing chip comprises a high-speed transmission channel, an image processing module and an IO control module, the high-speed transmission channel is connected with the optical module, and the image processing module is connected with the high-speed transmission channel and the IO control module; and the PCIE interface is connected with the data processing chip and is used for realizing data communication between the data processing chip and an upper computer. According to the image acquisition card provided by the utility model, lossless and high-speed receiving of image data transmitted by the industrial camera is realized by arranging the high-speed transmission channel, the requirement of higher bandwidth is met, and the reliability is higher; the image processing module is arranged to preprocess the image data, so that the CPU load of the upper computer is reduced, the subsequent data processing efficiency and data analysis accuracy of the upper computer can be improved, and the system can be widely applied to various industrial machine vision scenes.

1. Name of the product in this design: Video capture card (active cooling). 2. Application of this design: It is used in image acquisition cards, video acquisition cards, and audio acquisition cards, aiming to acquire and compress audio and video signals in real time and display them on one or more devices. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention provides an online gearbox fault detection device and method. According to the device, a main control unit comprises a main control chip with a built-in GPU, a heat dissipation assembly and a wireless communication module, and the GPU is configured to process a vibration signal image through a multi-scale convolutional neural network, extract time-frequency joint features of a coupling fault and upload a diagnosis result to a remote server through the wireless communication module; the image acquisition and display unit comprises an acceleration sensor, an image acquisition card and a display screen, the acceleration sensor and the image acquisition card are integrally mounted, and the acceleration sensor is used for acquiring a gearbox vibration signal in real time and generating a time-frequency image; the transmission unit comprises a signal processing circuit and a remote communication interface; each unit is integrated and fixed by the sealing shell, and a sensor interface is reserved. According to the invention, the vibration signal image is obtained through the acceleration sensor, the built-in GPU is used for processing the characteristics such as the wave crest of the vibration signal image, and the result is uploaded to the server, so that the real-time online detection and remote monitoring of the fault of the gearbox are realized.