78 results about "Frame synchronization (video)" patented technology

The invention discloses a video double-gun welding path planning control method based on synchronous visual identification, and particularly relates to the technical field of multi-welding-gun collaborative welding, cross-equipment time alignment is realized through multi-angle image acquisition, a synchronous video frame sequence is constructed, a welding seam boundary is identified, and a change track is generated; predicting path conflicts and planning non-interference paths in combination with the initial posture of the welding gun and the space parameters; a time scheduling model is constructed to execute beat dislocation control, and in the welding process, videos and electric arc feedback signals are collected, track offset is judged, the posture, the position and the compensation speed are dynamically corrected according to the track offset, and closed-loop control and synchronous execution are completed; according to the method, the image time consistency is improved through multi-angle video frame synchronous construction, and the welding seam track recognition precision is improved; introducing double-welding-gun path prediction and conflict analysis, and planning a non-interference path combination; and video and arc signal closed-loop adjustment is combined, dynamic synchronous correction of the path posture and the speed is achieved, and the welding stability and precision are guaranteed.

The invention discloses an FPGA (Field Programmable Gate Array) implementation method of a DVB (Digital Video Broadcasting) high-speed demodulator. A digital signal enters a parallel DDC (Direct Digital Control) module and is re-adapted to multiple symbol rates; the parallel AGC module adjusts the power of the digital signal to a fixed power value; the method comprises the following steps: passing through Oamp; m algorithm: completing symbol synchronization; related peaks are extracted, and frame synchronization is completed; correcting the frequency to enable the frequency to reach participation frequency deviation; performing frequency compensation on the digital signal after loop filtering; after error information is calculated and filtered, the digital signal is compensated; and restoring the original information of the digital signal. According to the invention, by adopting the parallel processing module, the real-time performance and the parallelism degree of digital signal processing can be greatly improved, and the performance of the whole demodulator is enhanced. Each module is designed to be adaptive to the change of a digital signal, for example, the AGC module can dynamically adjust the power of the digital signal to ensure that the output digital signal is always kept at a fixed power level so as to adapt to different receiving conditions.

The invention discloses a distributed multi-screen synchronization method, and relates to the technical field of video synchronous display, and the method comprises the steps: forming an output node cluster by a plurality of devices, dynamically electing a main node in the output node cluster, and enabling the main node to serve as a global synchronization controller; the interrupt time sequence of the distributed nodes is synchronized, and alignment of frame taking moments of a video output module VO of the equipment is achieved; and a frame synchronization controller is selected from the distributed nodes, the frame synchronization controller collects the data of the distributed nodes and carries out frame synchronization control, so that multiple devices can synchronously display the same frame of data. Based on a dynamic main node election mechanism, decentralized distributed deployment is achieved, and distributed deployment can be achieved without intervention of an upper computer or input node equipment; by constructing a frame synchronization mechanism based on a global time reference, the tearing and dislocation phenomena of a moving picture are effectively eliminated; and realizing multi-screen synchronization in a sub-millisecond error range through an interrupt synchronization mechanism.

The invention provides a video content enhancement method for a low-illumination environment, and the method comprises the steps: achieving the data preprocessing based on an original low-illumination video frame sequence through frame synchronization, color space conversion and local brightness analysis, generating a noise sensitivity thermodynamic diagram through multi-feature unsupervised learning, and constructing a noise perception gating mechanism through the combination of affine transformation. Dynamic modulation of the characteristic channel is realized; in the multi-scale network structure, a channel attention module is used for carrying out layer-by-layer self-adaptive adjustment on a noise sensitive area; a basic illumination image and an edge enhancement image are generated through double-branch decoding, and then weighted fusion is carried out in combination with a noise thermodynamic diagram, so that brightness balance and detail enhancement are realized; a noise smoothing regular term is introduced during end-to-end training, so that the network achieves dynamic balance between an enhancement effect and noise control.

The invention relates to the technical field of traffic information collection, in particular to a tunnel traffic flow detection method based on a video cloud networking technology, and the method comprises the following steps: obtaining video flow data collected by each monitoring camera in a tunnel in real time; performing compression coding processing on the video stream data; performing noise filtering and frame synchronization preprocessing on the coded video data; in a preset edge computing node, inputting the structured video data into a vehicle flow detection model to extract vehicle feature parameters in the video frame; performing tracking association on the target vehicle in the video frame through an asymmetric Kalman filtering algorithm, and comparing the vehicle flow detection data with a preset vehicle flow threshold; and in the cloud analysis platform, analyzing the structured detection data through the tunnel traffic flow prediction model. According to the invention, noise filtering and time-space alignment can be carried out on the collected vehicle operation video data, and the accuracy of tunnel traffic flow detection is improved.

The present invention belongs to the field of video surveillance technology, and discloses a video splicing method and system for multi-camera surveillance, and a processor, comprising: dividing a surveillance area into a plurality of partition units, arranging at least one camera in each partition unit; and creating an interactive interface for a user to input a preset surveillance target; obtaining the partition video data of each partition unit in real time, performing frame number synchronization processing on the plurality of groups of partition video data, so as to align them on a time axis; cutting each group of partition video data respectively according to a plurality of time periods, and capturing and splicing the preset surveillance target, obtaining the marked video units corresponding to the preset surveillance target, and then connecting them in series to form a collection, and creating a corresponding video directory on the interactive interface; through fine time management and efficient video splicing, the continuity and relevance of the surveillance video are improved, so that the user can quickly access the relevant video clips, and the efficiency of the surveillance system and the user experience are greatly improved.

The invention relates to the technical field of video decoding, in particular to a self-adaptive video low-delay hard decoding display system, which identifies a video stream format and a switching state through a self-adaptive demultiplexing module, extracts naked stream data and judges a decoding mode; the dynamic decoder allocation module dynamically allocates decoding resources according to the mode information, and supports concurrent decoding of a whole-frame single decoder or N-fragment multi-decoders; and the frame synchronization and VCXO dynamic adjustment module outputs a latest complete frame in a whole frame mode, aligns and recombines fragmentation data according to a frame number in an N fragmentation mode, and dynamically adjusts a VCXO clock frequency based on a decoding and display time difference. According to the invention, multi-format compatibility, seamless switching of video streams and ultra-low delay display are supported, and black fields, static frames and picture tearing are effectively avoided.

The invention relates to an MIPI-based video stitching method and system and a storage medium, and the method comprises the steps: S1, receiving at least two paths of MIPI video signals, carrying out the unpacking, and recovering a video time sequence; s2, caching the MIPI video signals after the video time sequence is recovered, and carrying out frame synchronization on the two paths of MIPI video signals; and S3, based on a video time sequence required by a screen, clock domain synchronization is performed on the two paths of MIPI video signals, and the two paths of MIPI video signals after clock domain synchronization are read out and subjected to video stitching in sequence according to a stitching sequence, so that data receiving and video stitching are realized, and meanwhile, the power consumption is low, the cost is low, and miniaturization is facilitated.

The invention provides a system and a method for synchronizing video frames in a network node, and the system comprises the steps: a local area network is established between a server side used for transmitting a video stream and at least more than one client side used for receiving the video stream, and the local area network reaches the synchronization time between the server and the client side through a PTP command; rTSP video streams are sent between the networks through broadcast, the networks are not only between the server side and the client sides, but also between the client sides are connected and interacted, that is, PTP commands are used for replacing NTP commands between the networks to carry out global time reference synchronization, and more accurate time synchronization is achieved; the RTSP video stream obtains the timestamp through the PTP command in the RTP, that is, the inherent timestamp in the RTP packet in the RTSP is upgraded into the timestamp generated by the PTP command, and more accurate frame synchronization is carried out. According to the technical scheme, frame-level synchronization can be carried out, and further accurate synchronization is carried out after timestamp synchronization.

The application discloses a multi-view video synchronization and target association method based on space-time coding, comprising the following steps: step one, multi-view video acquisition; step two, space-time coding generation; step three, inter-frame synchronization based on space-time coding; step four, cross-view target detection; step five, construction of a space-time association cost matrix; step six, global target association; and step seven, output of an association track. The application uses space-time coding to replace absolute time stamps, effectively resists differences in frame rates of different cameras and time drift problems, and reduces the requirement of the system on hardware synchronization; the space coordinate information is integrated into the coding, so that the target association no longer simply depends on the appearance, and the association robustness in complex scenes such as light change and dramatic view change is greatly improved; through coding matching and global optimization, the video synchronization and target association tasks can be completed at the same time, and the calculation efficiency and system integration are improved.

The invention discloses a video pre-monitoring picture generation method and device, equipment, a medium and a product. The method comprises the following steps: in response to a frame synchronization signal, latching a current canvas size and a pre-monitoring window size, and respectively calculating a width scaling and a height scaling based on a preset precision factor; based on the precision factor, the width scaling ratio and the height scaling ratio, sampling column coordinates and sampling row coordinates of the canvas are determined through proportionality coefficient accumulation and high-order interception; generating a memory read instruction according to the sampling row coordinates, and reading row pixel data corresponding to the sampling row coordinates from a dynamic random access memory in which spliced canvas data is stored; for each row of pixel data, screening and splicing the row of pixel data according to the sampling column coordinates so as to generate a continuous pre-monitoring row data stream; and converting the pre-monitored row data stream into a standardized video signal and outputting the standardized video signal. According to the embodiment of the invention, while the pre-monitoring quality is ensured, the logic resource consumption and the storage space demand are reduced.

The invention belongs to the technical field of unmanned aerial vehicle digital decoding, and particularly relates to a color synchronization improvement method and system for FPV unmanned aerial vehicle digital decoding. The method comprises the following steps: receiving an analog image transmission signal of the FPV unmanned aerial vehicle to obtain a discrete digital composite video signal stream; carrying out bright-color separation on signals in the discrete digital composite video signal stream to obtain a chrominance signal, a brightness signal and a synchronization signal; according to the frame synchronization signal, comparing the chrominance signal with a standard chrominance bar signal, and carrying out cured frame phase difference compensation calibration to obtain a chrominance signal for compensating the frame phase difference; performing accumulated phase difference calculation on each line according to the line synchronization signal to obtain a chrominance signal with line phase compensation; and performing RGB image synthesis according to the chrominance signal, the brightness signal and the synchronizing signal with line phase compensation to obtain an FPV unmanned aerial vehicle shooting image with improved color synchronization. Digital decoding is utilized to realize color synchronization simply, and a complex costa phase-locked loop is not needed.

The invention relates to the technical field of image processing, in particular to a real-time image intelligent splicing processing system based on multi-path fusion, which comprises a data preprocessing module, a parameter generation module, a frame synchronization module and a fusion output module, the data preprocessing module is used for generating a corresponding full-resolution correction image and a corresponding low-resolution thumbnail; the parameter generation module is used for generating a splicing control parameter set; the frame synchronization module is used for synchronizing the splicing control parameter set with the corresponding full-resolution correction image; the fusion output module is used for generating and outputting a spliced full-resolution video stream; a real-time splicing process is decoupled into two links of intelligent parameter calculation based on a low-resolution thumbnail and parameter-based full-resolution image accurate execution, so that a real-time intelligent splicing effect with low delay, high image quality, scene self-adaption and efficient bandwidth in a real-time splicing process of an ultrahigh-resolution video is realized.

The utility model discloses a multi-source adaptive intelligent driving camera video injection box, which comprises an input interface module, an output interface module and a video input module, an Ethernet interface; an RS485 interface; and an SD card interface. The core processing module comprises an FPGA (Field Programmable Gate Array) main processor; and a DDR4 cache unit. The video output module comprises an MIPI (Mobile Industry Processor Interface) CSI-2 transmitter; the utility model discloses a GMSL serializer. A hardware architecture that DP / HDMI video input and an FPGA are combined with an MIPI CSI-2 and GMSL serializer is adopted, image data of an external video source can be analyzed, the FPGA reconstructs a signal time sequence and a communication protocol which meet the output standard of a real camera, key processes such as power-on initialization, frame synchronization and resolution negotiation of the camera can be simulated, control signals are synchronously injected through an I2C protocol, and the real-time performance of the camera is improved. High-precision restoration of working characteristics of a real camera is realized, a sensing system obtains signal input consistent with that of an actual vehicle-mounted camera in a test, and the authenticity of a test result is remarkably improved.

The invention relates to the technical field of artificial intelligence and computer vision, in particular to an intelligent film and television content repairing system based on artificial intelligence. According to the invention, the frame synchronization precision of the video content is ensured by extracting and converting the video data from various sources into the video frame images in the unified format, meanwhile, the efficiency and precision of subsequent feature extraction and restoration processing are improved by adjusting the video size and color space conversion, and especially in a low-illumination and color distortion scene, the frame synchronization precision of the video content is improved. And the processing stability and accuracy are ensured. A low-level feature driven video frame image merging algorithm is used, and front and back frame information and edge contours are combined, so that a damaged area is accurately positioned and repaired. Through multi-layer convolution feature extraction, object contour recovery and fine color value and texture reconstruction, natural transition between a repaired area and a surrounding area is ensured, and a high-quality repairing effect is provided.

The application discloses a dynamic binding and state monitoring method and system of a virtual reality device, the method comprising: scanning and canceling a user ticket code; scanning a two-dimensional code of the virtual reality device; binding the user and the virtual reality device based on the scanning result, and obtaining binding parameters; after the binding is completed, issuing a binding notification to the virtual reality device bound by the current user and triggering a playing device use guide video; synchronously adding the binding parameters to a preset group and monitoring the running state of the virtual reality device; when the virtual reality device is started to experience or when it is determined that the number of members of the current preset group reaches a threshold, locking the current group and creating a new preset group; triggering a video stop playing instruction and a frame synchronization instruction to guide each virtual reality device in the current group to terminate playing the device use guide video and complete frame synchronization of experience content of the virtual reality device in the current group. The application realizes short user binding time and real-time monitoring of the state of the virtual reality device.

The invention relates to the field of video processing, in particular to a method for synchronizing multiple decoding devices based on time codes, which comprises the following steps of: numbering the decoding devices; each decoding device is provided with an external clock input port and a clock output port; each decoding device detects whether clock input exists in the external clock input port or not, if yes, the external clock input is transmitted to the clock output port in a transparent mode, and meanwhile the external input clock serves as a reference clock of an output video interface SDI or HDMI; if no external clock is input, an equipment internal clock is used as a reference clock of an output video interface SDI or HDMI; finding out the minimum value of the time codes in all the devices, and transmitting the minimum time code to each device; each path of video corresponds to a group of time codes, and synchronization is carried out according to the difference value between the time code of each path of video and the minimum time code. According to the invention, each device shares a homologous clock, complete frame synchronization can be realized, and the effect of synchronization of a plurality of decoding devices can be realized without additional device management.

The invention discloses a method and device for keeping frame synchronization of an ultra-high-definition video on a spliced large screen, and the method comprises the steps: determining a video stream corresponding to each display unit, and carrying out the feature extraction of a video frame through a feature extraction algorithm, and constructing a feature descriptor; and matching the feature descriptors of different video streams by adopting a bidirectional feature matching algorithm, and determining a synchronous frame of each video stream through a space-time cost function based on a matching result and timestamp information. And dynamically adjusting the decoding buffer capacity of each video stream according to the network bandwidth, the video code rate and the network delay predicted value, and executing a pause strategy or a motion compensation frame interpolation strategy according to the playing offset by taking the synchronous frame as a time reference. And estimating the real-time frame rate of each video stream by adopting a sliding window method, and adjusting the frame rate of the video stream through a frame extraction algorithm or a frame interpolation algorithm when the frame rate deviation exceeds a preset threshold value. The problems of poor watching experience and large computing resource consumption caused by frame asynchronization are solved.

This application discloses an image processing apparatus, a testing method for the image processing apparatus, and an image processing system. The image processing apparatus includes: a processor for processing multiple video data streams; at least one serializer, each serializer including a video generator for simulating a camera to generate video data streams; and a deserializer providing at least one frame synchronization signal to each serializer, so that each video generator outputs a corresponding video data stream to the deserializer in test mode according to the first frame synchronization signal, and the deserializer provides multiple video data streams to the processor based on the video data streams provided by each serializer. By simulating a camera using a video generator, no camera is required during the testing process, and no camera configuration is needed, thus reducing testing costs, simplifying the testing process, and improving testing efficiency.

The invention discloses a multi-channel video stitching target detection method and system, and the method comprises the following steps: S1, decoding the original compressed code stream of each camera, and outputting a decoding frame comprising a timestamp; s2, carrying out frame synchronization on the decoded frame to obtain a synchronization frame of each path of camera; s3, the synchronization frames of the cameras are preprocessed and then spliced into a to-be-detected picture; and S4, inputting a to-be-detected picture into the single model instance to execute one-time detection, and outputting global coordinates of a detection box of the to-be-detected picture and a first detection result. According to the invention, through a multi-source video synchronization mechanism, the time consistency of each path of camera decoding frame in the spliced image is ensured; batch detection of multi-channel videos is realized in a splicing mode, GPU occupation is remarkably reduced, throughput is greatly improved, and overall processing efficiency is remarkably improved.

The application discloses an ultra-high-definition video decoding and distribution system supporting AVS3 and double VIVID, and particularly relates to the technical field of digital video processing, and comprises a code stream receiving and analyzing module, a double VIVID metadata tightly coupled processing module, a metadata synchronous extraction module and an intelligent distribution interface module. The coding standard of a heterogeneous input code stream is automatically identified through a feature fingerprint database, and the TLV format and a differentiated embedding strategy are used to realize the tight coupling and synchronization of HDR Vivid and Audio Vivid metadata and video frames. In combination with a priority buffer queue and a PTS matching technology, the metadata is accurately extracted at a decoding end, and finally adaptive tone mapping and protocol conversion distribution are executed according to terminal EDID feedback. The application solves the problems of difficult multi-source heterogeneous stream identification, low double VIVID metadata and video frame synchronization accuracy and poor terminal adaptation, and ensures the consistency of the immersive experience of ultra-high-definition audio and video under different distribution links.

The invention relates to a multi-channel endoscope image processor and medical equipment. The processor comprises a mainboard, a controller and a plurality of acquisition cards. The controller is connected with the mainboard; the plurality of acquisition cards are respectively connected with the controller through a plurality of PCIE (Peripheral Component Interconnect Express) interfaces of the mainboard, and the plurality of acquisition cards are respectively connected with the plurality of endoscopes in a one-to-one correspondence manner; wherein the controller is used for sending a clock signal, a frame synchronization signal and a line synchronization signal to the plurality of acquisition cards, so that the plurality of acquisition cards transmit video data acquired from the endoscope to the controller under the action of the clock signal, the frame synchronization signal and the line synchronization signal. The processor can realize acquisition, processing and synchronous display of multi-channel endoscope graphs.

The invention discloses a multimedia interaction control system and method based on an OPS microcomputer, and the system comprises an input collection module which is used for collecting a user physical interaction signal through a multi-sensor fusion technology, and generating a standardized digital interaction data set based on a signal preprocessing algorithm; the core processing module is used for identifying an interaction behavior mode through a deep learning feature extraction algorithm based on the digital interaction data set and generating an interaction control parameter with a time sequence label; the content rendering module is used for calling a three-dimensional model resource library and executing real-time geometric transformation calculation based on the interaction control parameters to form an image frame sequence with a dynamic response characteristic; and the output driving module is used for driving heterogeneous display equipment through a multi-interface adaptive conversion technology based on the image frame sequence to generate a synchronous multimedia interaction display effect. And audio and video synchronous output is ensured through a frame synchronization technology, and a smooth multimedia interaction display effect is finally realized.

The present application is applicable to the field of display control technology, and provides a frame synchronization method, a logic module, and a video processing device. The frame synchronization method includes: the logic module obtains the current reference frequency; the logic module generates the current output frequency based on the current pixel clock; the logic module determines the target pixel clock frequency according to the phase difference between the current reference frequency and the output frequency. In the above-mentioned process of implementing frame synchronization, obtaining the current reference frequency, generating the current output frequency based on the current pixel clock, and determining the target pixel clock frequency are all performed by the same logic module. The target pixel clock frequency is used to adjust the current pixel clock, which can improve the accuracy of the pixel clock, avoid error accumulation, and improve the performance of frame synchronization.

The invention discloses a multi-screen display system and method based on a Linux system, the system comprises a hardware module and the Linux system, a VOP module in the hardware module is used for providing a preset number of plane hardware display layers; the Linux system comprises a display layer distribution management module, a memory distribution management module and a camera acquisition and processing module, and the camera acquisition and processing module is used for generating a laminated picture according to multiple paths of acquired camera pictures; the memory allocation management module is used for allocating DMA (Direct Memory Access) memory resources corresponding to the multi-path camera pictures, the laminated pictures and the preset video file; and the display layer allocation management module is used for displaying the multi-path camera pictures, the laminated pictures and the preset video files on the external display equipment according to the DMA memory resources and the plane hardware display layers. By implementing the method and the device, the effects of low CPU occupation, high frame rate of the display picture and frame synchronization of the display picture are achieved.

An apparatus includes a chassis and a processor. The chassis may be configured to be mounted to a vehicle and support a first ADAS camera and a second ADAS camera. The chassis typically provides a coarse alignment of the first ADAS camera and the second ADAS camera to obtain stereoscopic images of an area outside the vehicle. The processor may be configured to (i) generate a frame synchronization signal based on the real-time clock signal, (ii) present the frame synchronization signal and one or more control signals to the first ADAS camera and the second ADAS camera, (iii) receive a first pixel data stream from the first ADAS camera corresponding to an area outside the vehicle, (vi) receiving a second pixel data stream corresponding to an area outside the vehicle from the second ADAS camera, (v) processing the first pixel data stream arranged as a first video frame and the second pixel data stream arranged as a second video frame, (vi) calculating a twist parameter for the first ADAS camera and the second ADAS camera, and (vii) generating ground live data based on the first video frame from the first ADAS camera and the second video frame from the second ADAS camera to finely align the pixel data of the first video frame with the pixel data of the second video frame, and (vii) generating ground live data based on the first video frame from the first ADAS camera and the second video frame from the second ADAS camera.

The invention discloses a time schedule controller, a display device, an adjusting method and device of the display device and a storage medium, and belongs to the technical field of display. The time schedule controller comprises a built-in image generation module and a data selection module. The data selection module is used for stopping sending a first video signal to the display panel when the level of the first frame synchronization signal jumps from a first level to a second level, and sending a second video signal to the display panel when the level of the second frame synchronization signal jumps from a third level to a fourth level, and the display panel performs shutdown compensation based on the second video signal. Thus, the time schedule controller can start signal switching at the ending moment of the frame of video signal of the first video signal output by the main board, and complete signal switching at the starting moment of the frame of video signal of the second video signal generated by the time schedule controller.

The application discloses a multi-path video real-time splicing processing method based on an embedded platform and particularly relates to the technical field of image processing, which comprises the following steps: obtaining multiple images with consistent time stamps through hardware frame synchronization, calculating the light flow module length of the overlapping area after pre-alignment through cylindrical projection to generate a binary mask, establishing a control grid in the overlapping area to perform sparse disparity estimation and correction to obtain a sparse disparity map, up-sampling the disparity map to a dense disparity map, constructing a composite energy map containing a spatial color gradient cost and a time penalty cost, modulating the spatial cost by using the binary mask and smoothing the time penalty map, obtaining a dynamic avoidance seam through shortest path search, and forming an adaptive feathering band with the seam as the center. The application effectively eliminates static disparity ghosting and motion object half-cut artifacts under limited computing resources and realizes high-quality real-time panoramic splicing.

Disclosed are a video data processing device and method and a display system, comprising a first acquisition module, a second acquisition module, a storage module and a processing module. The first acquisition module is configured to, in response to a received picture quality adjustment parameter, determine whether the picture quality adjustment parameter meets a preset condition, and when the picture quality adjustment parameter meets the preset condition, send the picture quality adjustment parameter to the storage module. The storage module is configured to cache the picture quality adjustment parameter, and in response to control of a frame synchronization signal, send the picture quality adjustment parameter to the processing module. The second acquisition module is configured to acquire original video data, and in response to a valid data selection signal, send the original video data to the processing module. The transmission time period of the picture quality adjustment parameter and the transmission time period of the original video data have no overlap. The processing module is configured to perform data processing on the original video data according to the picture quality adjustment parameter, and generate target video data.

The invention relates to a video data acquisition method and device based on a frame synchronization control system, and belongs to the field of optical imaging and image processing. The method is used for collecting the paired video training data of the image restoration neural network based on the deep learning technology. On one hand, by synchronizing with the video played on the display and controlling the camera to shoot frame by frame, the data of each frame is ensured to be accurately matched under the setting of each camera parameter, and the high synchronization between the high-quality video and the low-quality video is realized, which is extremely beneficial to the training of a deep learning model. And on the other hand, different types of video contents are played through the display, so that the diversity of the data set, including different weather conditions, time periods, indoor and outdoor scenes and the like, can be easily expanded, and the generalization ability of the model is improved. Through the innovative frame synchronization control system, the video data acquisition efficiency and quality are remarkably improved, and powerful data support is provided for the development of a deep learning video recovery technology.