269 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 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 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 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 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.

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.

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 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.

The present invention relates to the field of liquid crystal displays, and discloses a method for generating an OSD screen of a display based on an FPGA. The method includes the following steps: Step 1, the FPGA receives an external video signal and decodes the video signal to generate a driving timing and external video data; Step 2, an internal clock and an internal driving timing with the same frequency as the external clock are generated in the DCM area; Step 3, with the external clock as the driving source, the external video data is written into the FIFO, and each time a row of the external video data is written, the next FIFO is switched to when writing each row; Step 4, with the internal clock as the driving source, the data in the FIFO is read according to the internal driving timing and an internal video screen is generated; Step 5, an OSD screen is generated using the timing relationship between the internal row signal and the internal field signal; Step 6, the OSD screen and the internal video screen are output after video superposition processing. This method can buffer the external video screen without using an external memory and has a low delay for external input signals.

1. Name of this design product: Mobile Phone Strap Ring Holder (CPS‑059). 2. Purpose of this design product: The iron sheet is attached to the back of the mobile phone to provide support and facilitate viewing the screen. It is a hand strap with anti-slip function. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

An electronic sock having visual and readable digital display for wellness and limb protection, which comprises a limb protection sleeve (X10) and a visual dynamic apparatus (X80). The limb protection sleeve (X10) is shaped having two ends and is worn around a limb of a human body. The limb protection sleeve (X10) is made of an extensible textile, fiber, or elastic material, or fiber which can be formed by weaving, or an integrally formed breathable material. For the visual dynamic apparatus (X80), in particular, a plurality of light-emitting diodes or visual and readable dynamic display elements are embedded on the limb protection sleeve (X10), or can be made of a material which can have a flexible, visual and readable electron optical display effect or can be woven from fiber having an optical function, so that the limb protection sleeve (X10) has a dynamic visual display effect on the limbs of the human body, in particular, enhancing aesthetics of female legs. According to needs, the limb protection sleeve (X10) can be designed to wrap around limbs or other parts of a human body, such as the soles, lower legs, thighs, and arms, or simultaneously wrap a plurality of parts of the body serving as electronic sensing and visually readable sites.

The utility model relates to the field of selfie sticks, and discloses a multi-dimensional adjustable rotary selfie stick, which solves the problems in the background technology and comprises a handle, a pull rod, a pull rod connector and a support arm, one end of the pull rod is arranged in the handle, and the other end of the pull rod is connected with the pull rod connector. A support arm connector is hinged to the end, away from the pull rod, of the pull rod connector, the support arm connector and the support arm are rotatably connected through a hovering type shaft structure, the hovering type shaft structure is a damping shaft, and the two ends of the damping shaft are fixedly connected to the support arm connector and the support arm respectively. According to the utility model, one-dimensional rotation is added in an original selfie stick mobile phone clamp, a user can hold the mobile phone clamp horizontally under the condition that the user feels tired when holding the mobile phone clamp vertically, the angle of a screen can be adjusted at will through horizontal rotation, and photographing or screen shooting is facilitated.

The utility model relates to a liquid lens zoom foggy vision system, training instrument and optometry unit, foggy vision system is equipped with eyepiece lens cone, front lens cone, rear lens cone and objective lens cone in proper order along the optical path, the front lens cone is equipped with first lens and second lens in proper order, the rear lens cone is equipped with liquid lens and third lens in proper order, and the objective lens cone is equipped with second lens and third lens in proper order. The front lens barrel and the rear lens barrel form a variable-focus liquid lens telescopic system; a foggy view image display panel is arranged in the objective lens barrel and used for playing foggy view animations. The system further comprises a controller, and the liquid lens, the objective lens cone and the fog view image display panel are electrically connected with the controller. According to the fogging system, the zoom lens can be controlled to zoom through a circuit, video animation is played in combination with the fogging image display panel, switching of different images is achieved, the zoom response is fast, a complex structure and switching images are not needed, the structure is simple and small, the attention of trainees is better attracted, and the fogging effect is improved.

The utility model provides a high-definition video monitoring device convenient for angle adjustment, which belongs to the technical field of monitoring devices, mainly aims at solving the problem that the angle of the existing monitoring device can not be adjusted, and adopts the technical scheme that the high-definition video monitoring device comprises a mounting frame, two groups of slide rails are respectively arranged on the inner side surfaces of two sides of the mounting frame, and the slide rails are arranged on the mounting frame; two limiting blocks are clamped on the peripheral sides of the two sliding rails correspondingly, a connecting plate is arranged above the two sliding rails, a horizontal moving assembly is arranged on the connecting plate, a monitoring frame is fixedly connected to the bottom of the connecting plate, an adjusting assembly is arranged on the monitoring frame, a mounting block is arranged on one side of the adjusting assembly, and a monitor is fixedly connected to one side of the mounting block. An infrared sensor is arranged on one side of the mounting block; through the arrangement of the horizontal moving assembly, the device can be adjusted in the horizontal direction, through the arrangement of the adjusting assembly, the angle can be adjusted, the problem that the angle of a traditional monitoring device cannot be adjusted is solved, and convenience is improved.

The utility model relates to the technical field of instant freezers, and discloses a double-spiral instant freezer with an image recognition function. The technical problems that in the prior art, traditional freezing equipment usually occupies a large area and is low in freezing efficiency, foreign matter detection depends on manpower in the freezing process, and the labor cost is high are solved. Two rotating disc assemblies are arranged at the positions, facing coil pipes, of the two sides of the evaporator, a double-helix conveying belt is installed on the rotating disc assemblies, an image recognition module is arranged on the double-helix conveying belt, the image recognition module comprises an image collector and an image processor, and a deep learning model is loaded in the image processor to detect and recognize foreign matter. The image processor is connected with the foreign matter removing structure through the controller. The double-spiral conveying belt is adopted, the freezing efficiency and the space utilization rate are improved, the image recognition module is inherited, foreign matter is detected in real time in the product freezing process, and the view screen safety and the product quality are improved.

This invention discloses a video anomaly detection method based on scene-conditional normalized flow. The method includes the following steps: Step A, processing a continuous video frame sequence to obtain a foreground target sequence; Step B, dividing the foreground target sequence into blocks to obtain a block-level feature sequence; Step C, obtaining complete spatiotemporal structural information features; Step D, obtaining high-level semantic foreground features; Step E, extracting overall scene information corresponding to the foreground target from the original video frames; Step F, performing conditional probability mapping modeling on the scene features; Step G, mapping the foreground target sequence extracted from the video to be detected to the latent space and determining whether the corresponding foreground target or video is an anomalous event. This invention, through probabilistic modeling, effectively avoids the misjudgment problem caused by uniformly modeling the same behavior in different scenes in existing methods. The overall method is simple and can effectively reduce interference from background areas and irrelevant pixel information.