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

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 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 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 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 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.

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 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 present disclosure provides a touch and display driver integrated (TDDI) frame synchronization updating method, device and equipment. The method comprises: determining an input frame synchronization signal Vsync_in; generating a system frame synchronization signal Vsync_sys according to the input frame synchronization signal Vsync_in; and applying the system frame synchronization signal Vsync_sys to each functional module of the TDDI to perform frame synchronization. Thus, the Vsync_in is delayed to generate the Vsync_sys, and then the system frame synchronization signal Vsync_sys is applied to each functional module of the TDDI chip, so that the command use error caused by using the video attribute setting instruction at the start of the Vsync_in signal of the current frame video while the DE_out signal of the previous frame video is not transmitted completely can be avoided, so that the accurate use of the command in the same frame video is ensured, and then the normal display of the video is ensured.

Embodiments of the present application disclose a multi-camera frame synchronization method and device and a storage medium, and are applied to the technical field of images. A slave camera in a multi-camera system acquires first timestamp information of each frame in a master video frame sequence and second timestamp information of each frame in a slave video frame sequence, and calculates a first time interval of adjacent frames in the master video frame sequence and a second time interval of adjacent frames in the slave video frame sequence based on the information, so that the frame rate of the slave camera is set to be the same as that of the master camera. On this basis, the frame rate of the slave camera is adjusted in combination with a timestamp difference between the second timestamp information of a specific frame in the slave video frame sequence and the first timestamp information of a first reference frame in the master video frame sequence and the frame interval of adjacent frames, so as to gradually realize frame synchronization of the master and slave cameras, so that each slave camera and the master camera can simultaneously capture a target scene at the same time, and the phenomenon of splitting in later picture splicing is avoided.

The invention relates to a video playing method and device, electronic equipment and a storage medium. The video playing method comprises the following steps: monitoring a frame synchronization signal of a current frame image, wherein the frame synchronization signal is used for triggering layer synthesis of the current frame image based on a video layer buffer queue; in response to monitoring the frame synchronization signal and determining that the video layer buffer queue is not ready, re-determining a ready state of the video layer buffer queue in a first time period of a frame synchronization signal sending period; and in response to determining that the video layer buffer queue is ready at a first moment in the first time period, performing layer synthesis based on the video layer buffer queue in a second time period of the frame synchronization signal sending period, and performing video playing based on an image after layer synthesis. According to the method and the device, the ready state of the video layer buffer queue is re-determined in the first time period, so that the video playing fluency is improved, and the use experience of a user is improved.

The invention discloses an annular buffer data transmission method, chip and system in a QSPIVideo mode. A host sends a frame synchronization instruction packet to a display driving chip through a QSPI interface; after the frame synchronization instruction packet, the host sends a line synchronization instruction packet to the display driving chip through the QSPI interface; a host continuously writes continuous data blocks comprising multiple rows of pixel data into an annular buffer of a display driving chip through an interface in a direct memory access (DMA) mode, and the continuous data blocks do not comprise row synchronization instruction packets; the display driving chip stores the received continuous data blocks in an annular buffer, reads pixel data line by line from the annular buffer, and generates corresponding line synchronizing signals to drive the display panel to display multiple lines of pixel data; according to the method, the annular buffer is introduced and the communication protocol is optimized, so that the data transmission efficiency is greatly improved and the host load is reduced on the premise that the chip cost is not obviously increased.

The invention discloses a binary syllabification imaging method, system and device based on an infrared column detector, and belongs to the field of infrared imaging, and the method comprises the steps: designing a linear column detector control time sequence through an FPGA, and driving two detectors at the same time; the same pixel clock is adopted, infrared original data of two paths of detectors are received at the same time, each column of the two paths of infrared original data is cached into fifo, and after clock frequency multiplication, fifo output data are spliced to obtain a binary spliced image; performing multi-point column non-uniformity correction and normalization processing on the binary syllabification image; reserving a pixel adjusting mechanism for the binary syllabification image to eliminate image overlapping; receiving a rotary table ring synchronizing signal, and carrying out column serial number information superposition on each column of the binary syllabification image; and generating a frame synchronization signal and a column synchronization signal required by the Cameralink digital video according to the ring synchronization signal, and outputting a panoramic image. According to the invention, the search field of view of the infrared panoramic image can be effectively improved, and high-resolution infrared panoramic imaging is realized.

The invention discloses an automatic identification method for resolution and frame rate of a coaxial video signal, which belongs to the technical field of signal processing, and comprises the following steps: filtering the coaxial video signal to obtain a filtered signal; generating a line synchronization pulse and a width thereof based on a zero-crossing judgment level value and the filtering signal, the zero-crossing judgment level value being configured to be adaptively adjustable; generating a point counting reset signal according to the line synchronization pulse, and obtaining the total sample point number of each line; carrying out stability verification on the total sample point number of multiple continuous rows; identifying a frame synchronization identifier, and obtaining the total line number of each frame; performing stability verification on the total line number of the continuous multiple frames; and matching the total line number which tends to be stable and the verified total sample point number with a preset video system parameter, and determining the resolution and the frame rate of the coaxial video signal. According to the method and the device, the resolution and the frame rate of the input coaxial video signal can be accurately and quickly identified, so that a decoder can conveniently configure correct decoding parameters, and normal picture output of decoding is ensured.

The invention provides a full-link low-delay display system, method and device and a medium, and belongs to the technical field of computer display. The system comprises a video memory direct connection port module, an AI frame synchronization engine and a photon matrix driving module, wherein the AI frame synchronization engine is respectively connected with the video memory direct connection port module and the photon matrix driving module; the video memory direct connection interface module is used for establishing a data channel with a graphics processor and directly reading frame buffer data in a video memory of the graphics processor; the AI frame synchronization engine is used for reading frame data in the frame buffer data, predicting the generation time of a next frame image based on an LSTM model and outputting a synchronization control signal; and the photon matrix driving module is used for responding to the synchronous control signal, driving the display panel to display in preset pixel response time, and controlling the end-to-end display delay within 0.5 millisecond.

The present disclosure relates to the technical field of videos, and provides a video synchronization method and apparatus, an electronic device, and a storage medium. The method comprises: measuring a reference frame synchronization signal by using a master clock, and calculating a first frequency multiple between a video clock of a video interface and the master clock on the basis of the measurement result; generating two frequency multiples closest to the first frequency multiple, and generating a first adjustment clock and a second adjustment clock of different frequencies on the basis of the two frequency multiples; generating a first target synchronization signal of the master clock and a second target synchronization signal of the video clock on the basis of the reference frame synchronization signal and a video parameter of the video interface; comparing the phase of the first target synchronization signal with the phase of the second target synchronization signal; and switching, on the basis of the comparison result, the video clock to the first adjustment clock or the second adjustment clock when a switchable moment is reached, so that a first frame synchronization signal generated on the basis of the master clock is synchronized with a second frame synchronization signal of the video clock, and the first frame synchronization signal is synchronized with the reference frame synchronization signal. The present disclosure can achieve complete synchronization between video data of a plurality of video interfaces.

The invention discloses a ship-borne panoramic video stitching method based on multiple distributed cameras, and relates to the technical field of ship intelligent navigation and computer machine vision, a plurality of network cameras are respectively deployed on a bow, a stern, a left board and a right board of a ship body, multiple paths of video streams are collected in real time through an RTSP protocol, and decoding and frame synchronous caching are carried out; dark channel defogging, image sharpening, OTSU binaryzation, Canny edge detection and edge refining processing are sequentially carried out on each path of video stream. A distributed ordinary network camera architecture is adopted, deployment is performed on the bow, the stern, the left side and the right side of the ship body, the existing installation space and conventional network equipment of the ship are fully utilized, a special panoramic camera does not need to be customized, unified access of video streams is achieved through an RTSP protocol, software splicing is completed through an edge computing server, and the whole process is simplified. Hardware purchase and transformation cost is remarkably reduced, a distributed structure supports modular extension and maintenance, overall operation of the system is not affected by faults of a single camera, and the system has high cost performance and maintainability.

The application belongs to the technical field of digital decoding of unmanned aerial vehicles, and particularly relates to a color synchronization improvement method and system for digital decoding of FPV unmanned aerial vehicles. The method comprises the following steps: receiving an analog image transmission signal of an FPV unmanned aerial vehicle to obtain a discrete digital composite video signal stream; performing brightness and color separation on the signals in the discrete digital composite video signal stream to obtain a chrominance signal, a luminance signal and a synchronization signal; comparing the chrominance signal with a standard chrominance bar signal according to a frame synchronization signal to perform solid frame phase difference compensation calibration and obtain a chrominance signal with compensated frame phase difference; performing cumulative phase difference calculation on each row according to a line synchronization signal to obtain a chrominance signal with line phase compensation; and performing RGB image synthesis according to the chrominance signal with line phase compensation, the luminance signal and the synchronization signal to obtain a color synchronization improved FPV unmanned aerial vehicle shooting image. The color synchronization is simply realized by digital decoding, and a complex costa phase-locked loop is not required.

An apparatus includes a chassis and a processor. The chassis may be configured to be mounted to a vehicle and to hold a first ADAS camera and a second ADAS camera. The chassis generally provides a coarse alignment of the first ADAS camera and the second ADAS camera to obtain stereo images of an area outside of the vehicle. The processor may be configured to (i) generate a frame synchronization signal based on a 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 datastream corresponding to the area outside of the vehicle from the first ADAS camera, (vi) receive a second pixel datastream corresponding to the area outside of the vehicle from the second ADAS camera, (v) process the first pixel datastream arranged as first video frames and the second pixel datastream arranged as second video frames, (vi) compute warp parameters for the first ADAS camera and the second ADAS camera to finely align pixel data of the first video frames with pixel data of the second video frames, and (vii) generate ground truth data based on the first video frames from the first ADAS camera and the second video frames from the second ADAS camera.

The invention belongs to the technical field of non-coal mine safety production supervision, and provides a non-coal mine safety production intelligent video analysis and early warning system based on deep learning, comprising five modules: a video stream generation module accesses an underground camera real-time video stream, and pushes the video stream to an AI intelligent analysis engine after denoising, frame synchronization and image enhancement preprocessing; the AI intelligent analysis engine processes the video frames in parallel based on a multi-task deep learning model, identifies safety production violation behaviors and outputs labels and confidence coefficients; after receiving and analyzing, the early warning management module generates a structured early warning event record; the data pushing module pushes the early warning event record to the supervision client; and the business closed-loop processing module is used for visualizing the early warning position on the GIS map, receiving and disposing the feedback state, and associatively storing the early warning record, the feedback state and the timestamp to the database. According to the invention, real-time video analysis and intelligent early warning of a non-coal mine underground complex environment can be realized through cooperation of multiple modules.

This invention provides a video synchronization method, apparatus, electronic device, and storage medium, relating to the field of video technology. The method includes: measuring a reference frame synchronization signal using a master clock; calculating a first harmonic of the video clock of the video interface with respect to the master clock based on the measurement result; generating two harmonics closest to the first harmonic; and generating a first adjustment clock and a second adjustment clock of different frequencies based on these two harmonics. Based on the reference frame synchronization signal and the video parameters of the video interface, a first target synchronization signal of the master clock and a second target synchronization signal of the video clock are generated; their phases are compared; and based on the comparison result, when a switchable time is reached, the video clock is switched to either the first adjustment clock or the second adjustment clock, so that the first frame synchronization signal generated based on the master clock is synchronized with the second frame synchronization signal of the video clock, and the first frame synchronization signal is synchronized with the reference frame synchronization signal. This invention can achieve complete synchronization between video data from multiple video interfaces.

This invention discloses a human status monitoring method based on infrared projection, implemented using a human status monitoring system. The method includes the following steps: S1, an infrared-sensitive camera acquires real-time images of the room being monitored and outputs frame synchronization signals to an edge computing unit and an infrared projection light source; S2, the edge computing unit processes the video images using artificial intelligence vision algorithms to calculate the human posture and confidence level of the human posture in the monitored room; S3, when the confidence level of the human posture is lower than a set threshold, the edge computing unit controls the normally off infrared projection light source to start and performs differential analysis on the acquired image frames; S4, the edge computing unit compares the real-time acquired projection images with projection images of an unoccupied room to determine the human posture. Compared with existing technologies, this invention solves the problem of effectively determining the location and status of an elderly person in a room at low cost.

The application provides a full-link low-delay display system, method, device and medium, and belongs to the technical field of computer display. The system comprises a direct connection interface module of video memory, an AI frame synchronization engine and a photonic matrix driving module, the AI frame synchronization engine is connected with the direct connection interface module of video memory and the photonic matrix driving module respectively; the direct connection interface module of video memory is used for establishing a data channel with a graphics processor and directly reading frame buffer data in the video memory of the graphics processor; the AI frame synchronization engine is used for reading frame data in the frame buffer data, predicting the generation time of a next frame image based on an LSTM model, and outputting a synchronization control signal; and the photonic matrix driving module is used for driving a display panel to display at a preset pixel response time in response to the synchronization control signal, and controlling the end-to-end display delay to be within 0.5 milliseconds.