396 results about "Video screen" patented technology

The invention provides a video quality detection method based on multi-scene self-adaption. The method comprises the following steps: selecting an area in a video picture, extracting multi-dimensional features of the area, determining the type of a scene where the video picture is located, and dynamically adjusting video detection parameters of the video picture; detecting the quality of the video picture based on the video detection parameters; intercepting an abnormal video picture, and adding the abnormal video picture into the constructed equipment fault template library M; and performing local model retraining on the video quality detection model based on the equipment fault template library M, and detecting the quality of a to-be-detected video picture based on the video quality detection model. On the basis of deep analysis of different scene features, the scene type of the video picture is accurately judged through multi-dimensional feature calculation, and then the video quality detection parameters are dynamically adjusted according to the scene type, so that the detection system can automatically adapt to the optimal detection parameters according to scene changes, misjudgment and missed judgment caused by the scene changes are avoided, and the detection efficiency is improved. And the accuracy of video quality detection in different scenes is remarkably improved.

The embodiment of the invention provides a video editing method. The video editing method comprises the following steps: acquiring background music according to a video editing demand; on the basis of drumbeat recognition and emotion analysis on the background music by an expert template, selecting a key drumbeat for video picture switching, and generating an editing configuration file on the basis of the key drumbeat; segmenting and classifying the to-be-processed video through multi-modal analysis to obtain different types of video clips; and automatically selecting a video clip combination based on the editing configuration file, and adding a transition special effect to obtain an edited video. According to the embodiment of the invention, by introducing the intelligent editing scheme based on the expert template, the editing result can be ensured to be highly matched with the music rhythm, the scene segment selected in the editing process meets the preset emotion and theme requirements, and the logicality and ornamental value of the video are improved.

The invention discloses an intelligent monitoring method and device for a video monitoring system based on cloud edge collaboration, and relates to a video monitoring technology. An edge computing platform is deployed on one side of the video monitoring system, so that the computing load of a central cloud platform is reduced; through combination of video fault data, historical operation data and real-time operation data, a correlation index between a picture parameter and a video fault type is calculated so as to accurately determine a video picture fault reason. Constructing a panoramic canvas through equipment parameters, and constructing a panoramic background model based on historical operation data; the real-time operation data and the panoramic background model are combined to continuously monitor faults of the holder and the zoom lens, and monitoring blind areas or picture loss caused by faults of the video monitoring system are avoided; the fault evaluation platform receives the detected suspected fault data and suspected fault indexes and feeds back the suspected fault data and suspected fault indexes to the fault alarm system in time, corresponding processing measures are taken, and the reliability of the monitoring camera system can be ensured.

An image processing apparatus arranges an object in a virtual space of a display target, and establishes a view screen corresponding to a point of view. In tracing a ray passing through a pixel included in a figure of the object, in reference to a position P and an incident direction @ of the ray incident on the object, the image processing apparatus reads a previously acquired distribution of contribution ratios of a plurality of light sources representing the sizes of effects thereof on the color of the figure of the object, the plurality of light sources being in different directions relative to the object. The image processing apparatus determines a pixel value of the pixel by calculating a weighted sum of the luminance values of light from intra-scene light sources based on the light source contribution ratios obtained with respect to the directions corresponding to the intra-scene light sources.

The invention relates to a bullet screen processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: displaying a video playing picture of a target video; detecting a bullet screen triggering operation used for displaying redundant bullet screens in the video playing picture; after the bullet screen triggering operation is detected, redundant bullet screens are displayed on the video playing picture in an overlapping mode, the redundant bullet screens are used for shielding the video playing picture, and the bullet screen content of the redundant bullet screens is matched with the picture content of the video playing picture. By adopting the method, the requirement that the user can shield the video picture at any time can be met, and meanwhile, the user can not influence the plot understanding of the video, so that the video watching experience of the user is improved.

The invention discloses an intelligent semantic analysis and instruction analysis method and system, and the method comprises the steps: enabling a plurality of clients to be connected with an RTC, and subscribing a first audio and video channel; the plurality of clients are respectively connected with the business server and are used for realizing real-time data interaction and business logic processing; audio and video screen stream data are obtained through the RTC, and audio signals in the audio and video data are converted into text information; obtaining the text information and context information of the text information, and performing instruction identification on the text information; and calling a corresponding service interface based on the identified instruction to complete the operation or task of the instruction. According to the method, the accuracy, the real-time performance and the flexibility of voice interaction can be remarkably improved, the application space of the intelligent voice technology in a multi-person cooperation scene is expanded, and an innovative interaction mode is brought to the vertical fields of intelligent conferences, online education and the like.

The invention discloses an automatic tracking method for an intelligent video monitoring terminal based on target detection, particularly relates to the field of automatic tracking of video monitoring, and comprises an image intelligent analysis and processing module and a monitoring terminal. According to the method, firstly, the relative distance of a target is measured and calculated through a target distance measurement and calculation module, a moving track prediction module and a target behavior detection module, the moving track of the target is recorded and predicted, the moving behavior of the target is detected, and a key target is analyzed in combination with an image intelligent analysis and processing module; automatic switching of key targets is achieved through the target movement tracking module according to changes of the targets, the shooting orientation angle and the focal length of the camera are sequentially controlled through the execution module, the key targets are located in the optimal state of a video picture, key target tracking, recording and shooting are achieved, and it is guaranteed that key monitoring objects on a working site are clearly visible; and abnormal conditions caused by human negligence are avoided.

The invention relates to the technical field of video analysis, in particular to a video stream multi-mode content security dynamic auditing system and method. According to the invention, through the conjoint analysis of the hue ratio change of the continuous image frames and the focus area heat map, the hue sudden change and concentrated concern area in the video image can be accurately identified, the potential violation fragment can be effectively positioned, and on this basis, the interaction behavior analysis mechanism of the image and audio bimodal data is introduced, so that the accuracy of the image and audio bimodal data interaction behavior analysis is improved. Therefore, the recognition of the sudden behavior is not limited to a single visual or auditory clue any more, the modal jump behavior segment is constructed when the image action and the voice change are synchronously highlighted, and then the time sequence overlapping point location in the modal sudden change process is further captured, so that the positioning precision of the abnormal interruption behavior is enhanced, and the positioning accuracy of the abnormal interruption behavior is improved. And multi-dimensional measurement and scoring of the burst area are realized in combination with trend information of frame-level dominant weight change, so that the recognition coverage rate and the response capability of dynamic content auditing on violation behaviors are improved.

The invention belongs to the technical field of tunnel ventilation regulation and control, and particularly relates to a control method of a highway tunnel ventilation system based on wind speed. According to the invention, sensors are arranged at key positions of a tunnel, wind speed and environmental parameters are collected, and traffic flow detection is carried out by using video equipment and an SVM model. Then, a comprehensive evaluation function is defined according to the collected data to calculate ventilation requirements, and a ventilation mode is selected based on the ventilation requirements; thirdly, the opening degree of a ventilation opening and the speed of a draught fan are adjusted through a PID controller, so that the ventilation requirement is met. Finally, CFD software is used for simulating air flow, the ventilation opening layout and opening and closing time are optimized through a simulated annealing algorithm, and therefore ventilation efficiency optimization is achieved. In the whole process, accurate control and intelligent optimization of the tunnel ventilation system are achieved, the ventilation efficiency is improved, and the energy consumption is reduced.

The invention relates to the technical field of power system emergency monitoring video picture abnormity inspection, and discloses a power monitoring invisible automatic checking method based on RPA and image recognition. According to the method, firstly, a robot process automation technology is utilized to click and access a camera picture, and a screenshot is named and stored; creating a gray average value calculation module based on an image recognition technology, configuring a resource path of the gray average value calculation module, and calculating and storing a gray average value; judging whether the picture is abnormal or not according to an image gray average value threshold value, and if yes, executing recording operation; and finally, the cycle is repeated until the expected transformer substation or power transmission line is inspected. Two technologies are combined, unmanned, non-intrusive and full-automatic troubleshooting is achieved, human resources are saved, the work satisfaction degree of workers is improved, the influence of human factors is avoided, the emergency on-duty quality and effect are improved, and powerful support is provided for reasonable personnel allocation and cost saving of enterprises.

The invention discloses an information display method and device, a vehicle, electronic equipment and a storage medium, the information display method comprises the steps that in response to user operation, video information and / or superposition information are / is displayed, the video information is information shot by recording equipment, and the superposition information is information collected when the recording equipment shoots the video information; the superposition information is used for being displayed on the video information in a superposition manner; wherein the video information is stored in the video information storage area, and the superposition information is stored in the superposition information storage area. The superimposed information can be selectively displayed in the video picture according to the selection operation of the user.

One embodiment of the present invention provides a wearable mask with an uninterrupted external digital display, wherein a processor receives external inputs to change the mask or image that is displayed, external cameras that capture real-time images to be displayed via an internal view screen, where the processor receives inputs from the mask wearer that change the mask display in response to the wearer inputs, and with external speakers that respond to input from the wearer.

The invention discloses a video generation model training data set processing method, and belongs to the field of video processing. The method comprises the following steps: S1, storing a video collected in a specific service direction in a single specified folder, wherein the video has no fixed limitation in the aspects of duration, resolution and frame rate; s2, extracting the file name, the frame rate, the duration, the resolution ratio and the aspect ratio of the video in the S1, and recording the data in a CSV file; s3, performing the following screening on each video according to the information in the S2: deleting the video when the video resolution is lower than 360P; deleting the video when the aspect ratio of the video is less than 0.7; when the video frame rate is lower than 20 frames per second, deleting; and S4, performing scene segmentation on the video screened in the step S3 by adopting a PySceneDetect algorithm. According to the method, representative and dynamically changing core frames can be uniformly extracted from a large number of original videos, so that the diversity and quality of a video data set are improved, and high-quality training data are provided for a video generation model.

The embodiment of the invention provides a video acquisition method, system and device, and relates to the technical field of data processing, and the method comprises the steps: receiving the distance and azimuth information between a radar and a first target; if the first target is not in the view field range of the image acquisition equipment, determining rotation angle information enabling the first target to be in the view field range based on the azimuth information; sending rotation angle information to the holder, so that the holder drives the image acquisition equipment to rotate according to the rotation angle information; based on the distance and the size of the interested target, determining a focal length parameter and a focusing parameter which enable the proportion of the first target in the video picture to be a set proportion; and sending the focal length parameter and the focusing parameter to an image acquisition device, so that the image acquisition device performs video acquisition according to the focal length parameter and the focusing parameter. By applying the scheme provided by the embodiment of the invention, the time spent by the image acquisition equipment from focusing to acquisition of the video picture meeting the requirement can be reduced, and the focusing efficiency is improved.

The present application relates to a resource transfer method, apparatus, computer equipment, and storage medium based on cloud applications. The method comprises: displaying a video screen generated after cloud processing through a cloud application; displaying a resource transfer channel screen generated by the cloud in response to a triggering operation on a target visual element in the video screen used to trigger resource transfer; displaying a target resource transfer channel in the resource transfer channel screen; displaying document information corresponding to the target resource transfer channel generated by the cloud; and triggering a resource transfer operation based on the document information through the target resource transfer channel in response to a resource transfer confirmation operation for the document information. This method can provide multiple resource transfer methods to realize resource transfer of cloud applications.

The invention provides a personnel safety movement detection method and system based on a visual identification technology, and the method comprises the following steps: S1, carrying out the image collection of a video image, and recognizing and obtaining a walking route region in the video image; s2, identifying and acquiring a target human body area in the video picture through a human body detection model pre-trained based on YOLOv5, and identifying and acquiring a target vehicle area in the video picture through a vehicle detection model pre-trained based on YOLOv5; and S3, judging whether the target human body area is located in the target vehicle area or the walking route area or not, and when the target human body area is located outside the target vehicle area and the walking route area at the same time, judging that the target human body is located outside the safe walking route, and triggering an alarm. According to the invention, the method can achieve the detection of the moving path of a person in a safe walking route, and can effectively avoid the interference of a vehicle driver on a detection result.

The invention discloses a video clip positioning method based on a user interactive instruction. The video clip positioning method comprises the following steps: (1) splitting video contents according to shots; (2) extracting video text content by using an image character recognition and voice recognition technology; (3) calibrating image character recognition and voice recognition results, and extracting a text abstract by using a natural language processing model; (4) associating and corresponding a text recognition result with a shot according to a time node; (5) calculating the similarity between the text abstract and the original text to obtain a corresponding relationship among the text abstract, the original text and the video shot; (6) identifying and marking the video picture based on an image identification and understanding technology; and (7) according to a user text instruction, calculating a matching relationship with the image mark and the text abstract, and quickly positioning a corresponding video shot clip. According to the invention, the problems of inconvenient positioning and too long consumed time in the video positioning process of the user are solved, and the watching experience of the user is improved.

The utility model relates to the field of electronic equipment, in particular to a portable folding view screen sound box. Comprising a loudspeaker box body, a rotating tray is arranged at the top of the loudspeaker box body, a first connecting rod is rotatably arranged on one side of the rotating tray, a second connecting rod is rotatably arranged on the other side of the rotating tray, a fixing plate is rotatably connected to the tail end of the first connecting rod and the tail end of the second connecting rod, and a screen is arranged on the fixing plate. The two sides of the top of the loudspeaker box body are each provided with an opening groove facilitating folding and unfolding of the screen, the two sides of the top of the rotating tray are each provided with a hydraulic rod, the tail ends of the hydraulic rods are rotationally connected to the bottom of the fixing plate, and the rotating tray rotates to drive the screen to rotate to adjust the display direction. The hydraulic rod drives the first connecting rod and the second connecting rod to rotate to drive the screen to adjust the display angle, turn over and be folded and stored. The screen is supported through the opening and closing type support, noise is reduced through hydraulic control, and multi-angle display is facilitated.

The embodiment of the invention discloses an auxiliary operation method and system based on video interaction. The method comprises the steps of displaying a specification display request page, calling a photographing assembly to obtain a target video in response to triggering of a specification display request control in the specification display request page, performing image recognition on a plurality of video frames in the target video, determining a product operation requirement according to a recognition result, and displaying the product operation requirement according to the product operation requirement. And determining a target operation scene corresponding to the product operation demand according to a preset mapping relationship, determining a marking component and / or operation prompt information according to the target operation scene, and highlighting the marking component and / or operation prompt information in the photographing picture display page. According to the method, the target operation scene matched with the user operation behavior in the video is determined by performing video analysis on the video picture collected by the user side, and then the corresponding marking component and / or the operation prompt are matched for the target operation scene, so that the user operation is guided in a step-by-step disassembling manner, and the user understanding and operation difficulty is reduced.

The invention relates to a video data protection method and device, computer equipment, a storage medium and a computer program product. The method comprises the steps of generating a verification instruction for a to-be-received user, and sending the verification instruction to a verification platform; sending a video playing request of a to-be-received user to the video monitoring system, and sending a verification request to the verification platform; sending a verification instruction to the to-be-received user to obtain a verification result; and when the verification result is successful, sending the video stream of the video transmission platform to the user to receive the video stream. In combination with a dynamic verification instruction generated based on user network channel information and a verification action, it is ensured that only a target user authorized by a main user can pass verification and obtain a video stream, a to-be-received user is limited to share a video link for the second time, it is ensured that the sharing range is completely controlled by the main user, and the risks of video diffusion and sensitive data abuse are avoided.

The invention relates to the technical field of monitoring, in particular to a multi-network camera processing method based on Qt Creator. According to the invention, video capture, processing and display are processed in a multi-thread mode, and the video stream of each network camera is managed by an independent thread, so that the response speed and stability of the system are effectively improved. According to the invention, a user can select different video layout modes as required, including a single-picture mode, a single-picture full-screen mode, a one-main multi-secondary-picture mode and a multi-picture tiling mode. And meanwhile, the user can reasonably arrange video pictures according to monitoring requirements, so that the readability of information and the convenience of operation are improved. According to the invention, the RSTP / HTTP protocol is adopted, so that the rapid loading of the camera picture can be realized, the transmission delay of the video stream is reduced, the response speed of the system is effectively improved, and the operation experience is improved.

To provide a video comment sharing service that eliminates miscommunication between a video editing instructor and a video editing performer and enables intuitive, easy-to-understand, and efficient video editing work. [Means for solving the problem] A video comment sharing system is provided, which includes a video acquisition unit that acquires videos, a comment storage unit that stores comments in association with the playback timing of the acquired video, and a drawing information storage unit that stores drawing information, which is information to be superimposed on the video screen of the acquired video, in synchronization with the playback timing of the video to be superimposed.

The invention discloses a man-machine collaborative robot teleoperation method and system based on visual interaction, and belongs to the technical field of robot control and interaction. In order to solve the problems that a traditional teleoperation instruction is not clear, execution is not verified and dependence on a network is high, the method comprises the steps that a robot video stream is displayed on a client; determining a target two-dimensional coordinate in response to a click operation of a user on the video picture; and the coordinates and the three-dimensional environment data space are mapped, and the execution pose of the robot is calculated and verified. The system allows a user to visually specify a target through frame selection / click selection, and a background automatically converts two-dimensional interaction information into an accurate three-dimensional robot instruction subjected to feasibility verification. According to the method, the coordinate precision is guaranteed by introducing the static reference image, batch planning and submission are supported through the task queue to reduce network dependence, and safe, accurate and high-robustness man-machine collaborative operation is realized.

A video headset comprises a left earphone assembly, a right earphone assembly, and a headband assembly having a headband frame. The headband frame comprises a left end portion movably coupled to the left earphone assembly and a right end portion movably coupled to the right earphone assembly. The headset comprises a video screen module connected to each earphone assembly via a boom module. The video screen module comprises video screens including a first video screen and a second video screen pivotally connected to a second video screen. The second video screen faces in an opposite direction from the first video screen. The headset enables to stream both audio and video data at the video screen module. The headset is further configured to connect with external devices and stream data from different external devices on different video screens. The headset has multiple cameras on the headset to enable 360 degree viewing.

The invention relates to a production line safety monitoring method and system based on machine vision, and belongs to the technical field of machine vision, and the method comprises the steps: obtaining a real-time production line monitoring video according to monitoring equipment, marking a dangerous region, carrying out the marking of a rectangular bounding box, and generating a target data set; and based on a small target detection layer, an attention mechanism and space depth conversion convolution, improving an object detection model YOLO and constructing a machine vision network model SPA-YOLO, and inputting the real-time production line monitoring video to the trained machine vision network model SPA-YOLO. According to the method, whether a worker in a video picture appears in a dangerous area or not and whether the worker has unsafe operation or not are recognized, alarm information is sent out, unsafe behaviors and unsafe operation of the worker can be recognized more accurately in complex background and small target detection through a machine vision network model SPA-YOLO, the detection precision is improved, and the detection efficiency is improved. The situations of false detection and missing detection are reduced, and the life safety of workers is guaranteed.

The invention relates to the field of video conferences, and provides a method and device for adjusting a video picture, and the method comprises the steps: determining a target exposure value corresponding to a target image and / or a target white balance value corresponding to the target image, the target image being an image input by an image input device or a part of an image input by the image input device, and the target white balance value corresponding to the target image; the target image is a to-be-output image of the kth frame after the current frame of the image output device; and outputting the target image according to the target exposure value and / or the target white balance value in the kth frame after the current frame. According to the method, the exposure value and / or the white balance value and other parameter values of the switched target image are determined in advance before the video picture is switched, so that corresponding adjustment can be applied to the video picture according to the pre-determined parameter values at the same time when the video picture is switched; the switching of the video pictures and the adjustment of the corresponding parameters are carried out at the same time, so that the visual effect of the pictures is kept uniform when the pictures of the video conference are switched.

The invention relates to the technical field of machine learning, in particular to the field of machine learning supporting a neural network model, and provides an eye movement detection method and device in an eye-closed state, which are used for identifying an image in the eye-closed state and obtaining a real-time movement condition of an eyeball by constructing a deep learning neural network model. The detection result of the continuous frame is associated with a tracker, a motion track is calculated according to the position change of the target in the continuous frame, and the track is represented by a series of coordinate points and can be further converted into motion parameters such as distance, speed and acceleration; and a detection frame is arranged, and a tracking trajectory and motion parameters are displayed on a video picture in real time, so that a user can conveniently observe and analyze a result.

1. The name of the design product: graphical user interface for female private part health examination and evaluation of electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for medical staff to examine customers through the device, while adjusting the examination position by viewing the video screen, and then generating an evaluation report after the examination is completed. 6. The human-computer interaction mode of the graphical user interface: the front view is the main interface of the product; click the corresponding structure on the right side of the front view, then click "intelligent analysis" at the bottom to get interface change state diagram 1; click "generate evaluation report" at the lower right corner of interface change state diagram 1 to get interface change state diagram 2; click "print report" on the right side of interface change state diagram 2 to get interface change state diagram 3. The "X" in the interface view represents changeable or replaceable text, numbers or symbols. The gray blocks in the interface are replaceable content screens.

The embodiment of the utility model discloses a brush handle shell and an electric toothbrush, and the brush handle shell comprises an insulating lining and a metal shell arranged on the periphery of the insulating lining in a sleeving manner; the metal shell is provided with a first display window and a first operation window, the insulating lining is provided with a second display window corresponding to the first display window, and the insulating lining is provided with a second operation window corresponding to the first operation window. According to the utility model, the brush handle shell adopts the metal shell, and meanwhile, the metal shell is provided with the display window and the operation window, so that a user can carry out key operation and visual screen display at the same time, and the multifunctional use requirement of the user is met.

The vehicle-mounted view screen terminal equipment comprises an inner box body with a downward opening, the inner top surface of the box body is vertically connected with a first telescopic mechanism, and the tail end of the first telescopic mechanism is coaxially connected with a support; a display screen is arranged in the inner box body, the top of the display screen is rotationally connected with a mounting base, the top of the mounting base is connected with the output end of a third motor, and the third motor is fixedly connected with the bottom of a support; the top of the inner box body is symmetrically connected with first connecting bases, a connecting shaft is fixedly connected between the first connecting bases, a first motor is fastened to one end of the connecting shaft, and the connecting shaft located between the two first connecting bases is rotationally connected with a supporting base. The display screen can be controlled to be adjusted in a lifting mode through the first telescopic mechanism, rotation control over the second motor and the third motor is achieved, and multi-directional automatic rotation adjustment of the display screen is effectively achieved.