19 results about "Video feedback" patented technology

The invention provides a low-delay multi-channel video data processing method and system for remote driving, and is applied to the field of data processing. According to the invention, a low-delay multi-channel video data full-process processing system is constructed for remote driving of a target unmanned vehicle. And four types of core data including hardware, video, network and control are obtained. Aiming at multiple cameras, images are screened according to driving scene priorities, full-coverage dead-corner-free, core view-angle-first and vehicle-type adaptation constraints are applied, and preprocessed multiple video streams are generated. Encoding, slicing and decoding the preprocessed video stream to construct a low-delay processing mechanism; a customized WebRTC protocol is adopted, routing is optimized, direct connection between a vehicle end and a cockpit is achieved, meanwhile, the network state is monitored, and transmission stability and safety are guaranteed through multiple constraints when the network state is abnormal. Fusing multiple paths of decoded pictures, arranging and superposing multiple types of key information according to driving habits, and combining constraints to generate an offering cabin display result; and finally, cooperatively processing the control instruction and the video feedback to form an interactive monitoring visual interface.

The application discloses a parking management method and system based on high-bit video and belongs to the field of intelligent traffic management, wherein the method comprises the following steps: collecting a video of a supervision area to determine a parking space monitoring video; feeding the parking space monitoring video to a background processor to analyze and determine parking features frame by frame, wherein the parking features are provided with time sequence marks; generating a parking data chain based on the parking features, wherein the parking data chain is provided with illegal information marks; determining a regional distribution map based on the parking space monitoring video, identifying vacant parking spaces, generating a regional parking space real-time map, and the regional parking space real-time map has real-time updating performance; and performing visual display and parking management based on a central management system according to the regional parking space real-time map and the parking data chain. The application solves the technical problems of low parking management efficiency and low parking resource utilization rate in the prior art, and achieves the technical effects of improving the parking management efficiency and the parking resource utilization rate.

The embodiment of the invention discloses an event monitoring method, system and device, a medium and a program product. Comprising the following steps: when a detection module detects a to-be-detected target, sending a pre-recording trigger signal to a main control module to trigger an image acquisition device in the main control module to carry out pre-recording, and receiving a pre-recorded video fed back by the main control module; the detection module performs target detection on a to-be-detected target according to the pre-recorded video, and sends a recording trigger signal to the main control module when determining that the to-be-detected target is an effective target according to a target detection result; and the main control module responds to the recording trigger signal and determines a video recorded by the image acquisition device at the pre-recording starting moment as an event monitoring video. The timeliness of abnormal event identification and pre-recording response is improved, the precision of the pre-recorded content is improved, the overall power consumption required by event monitoring is reduced, and the effectiveness of safety monitoring is improved.

This invention relates to the field of intelligent sports training equipment technology. It discloses an intelligent sports training machine with motion posture recognition, comprising: an equipment frame; a drive assembly mounted on the equipment frame, the drive assembly including: a motor; a reel connected to the output shaft of the motor; and a rope wound around the reel, the free end of which extends to the outside of the equipment frame. This invention offers significant advantages over traditional training machines. It achieves stepless resistance adjustment through motor drive, and with closed-loop control, ensures precise and stable resistance that can be dynamically adjusted according to posture. It achieves three-dimensional recognition of key points of the human skeleton through visual acquisition and posture analysis, and combined with audio-visual feedback, allows users to correct their movements in real time, improving training effectiveness. It automatically reduces resistance in abnormal postures and provides emergency braking in dangerous situations, significantly reducing the risk of injury. It can also record training data for digital management, providing support for personalized training.

An object of the system according to the embodiment is to analyze emotions and symptoms of family members who do not speak to each other and provide appropriate feedback.SOLUTION: A system includes a collection unit, an analysis unit, and a feedback unit. The collection unit collects sound or a moving image. The analysis unit analyzes the sound or the moving image collected by the collection unit. The feedback unit performs feedback based on the analysis result obtained by the analysis unit.SELECTED DRAWING: Figure 1

The utility model provides a rail transit vehicle door collision detection device which comprises two supporting frames, and fixing frames are fixedly installed on the two sides of the opposite sides of the two supporting frames. Through the design of the pressure sensor, the alarm and the camera, the rail transit vehicle door has a collision detection function during use, when the vehicle door is opened or closed, the pressure sensor can detect abnormal resistance or pressure changes, and if an object or a passenger is clamped, an alarm can be given out in time through the alarm; the vehicle door is automatically stopped or reversely opened, the occurrence of pinching accidents is avoided, the safety of passengers can be effectively guaranteed through a real-time monitoring and reaction mechanism, the situation around a door crack can be monitored in real time by installing the camera, and if a person or an obstacle approaches the vehicle door, the camera can provide image or video feedback, so that the safety of passengers is improved. A train control system is helped to judge whether door opening needs to be stopped or other prevention measures need to be taken.

The invention relates to a video recommendation method and system based on user preference rapid locking, and the method comprises the steps: collecting video watching historical data of a user regularly, constructing a user preference model based on the video watching historical data, and carrying out the training optimization of the user preference model through a preset learning algorithm; based on a preset video similarity identification model, identifying videos of which the similarity with the historically watched videos of the user is lower than a preset threshold value; generating a recommended video by using the user preference model after real-time training optimization, generating a video recommendation list according to the recommended video and an identification result of the video similarity identification model, and displaying video contents in the video recommendation list to the user; and when video feedback data of the video content displayed in the video recommendation list by the user is obtained, training and optimizing a user preference model by using the video feedback data. On the basis of ensuring the recommendation accuracy, the recommendation diversity is effectively improved, and the potential interest of the user is actively explored.

Provided is a device and a corresponding method for optical recognition and analysis, in particular of bodies, body parts and / or joints of a person, surfaces and objects in a 3-dimensional movement area in real time, with one or more cameras with fisheye lens, which are arranged at a distance and position from the movement area specifically selected for the application, for determining 2D positions of the bodies, body parts and / or joints, surfaces and objects by means of camera images, at least one data processing unit being provided, with devices for calculating neural networks and artificial intelligence in real time, for applying several AIs on captured camera images, and with at least one interface for one or more audio / video feedback units for outputting data or audio / video feedback on the analysis results by means of the audio / video feedback unit.

The invention discloses a neural signal real-time decoding and video synchronization system and method based on dynamic fusion, and the system comprises a neural signal collection module which is used for obtaining a neural signal data stream; the video acquisition module is used for synchronously acquiring a video data stream; the real-time decoding and dynamic fusion module is used for receiving the neural signal data stream and the video data stream, executing a decoding algorithm in real time to extract neural features, fusing current and historical neural features and video context information, and generating a fused real-time decoding result; the video synchronous generation module is used for instantly generating or selecting corresponding video content according to the real-time decoding result, and ensuring that the video content and the neural signal decoding state at the current moment are strictly and synchronously output; and the synchronous output module is used for outputting and displaying the video content in real time. The problems of high delay, cross-modal mismatch and emergency behavior adaptation of neural signal decoding and video feedback are solved, and a high-reliability technical scheme is provided for brain-computer interface and neural behavioristics research.

The invention relates to the technical field of electronic equipment testing, and discloses an ARINC818 airborne display module testing method and system and a medium, and the ARINC818 airborne display module testing method comprises the steps: obtaining test configuration information containing a predefined video time sequence parameter and a protocol field parameter, and to-be-sent image data; generating a transmission time sequence according to the video time sequence parameter, packaging the image data into a video excitation signal conforming to an ARINC818 protocol in combination with the protocol field parameter, and sending the video excitation signal to the tested equipment; collecting a video feedback signal of the tested equipment, and obtaining actual protocol field information, video time sequence parameters and image data through protocol analysis and data extraction; and finally, comparing the actual data with the test configuration information and the source image data to verify the consistency of the tested airborne display module. According to the invention, accurate testing and verification of the bottom-layer time sequence and the protocol level of the airborne display module can be realized.

The invention discloses a cloud-based information optical experiment system capable of realizing remote interaction, and relates to the technical field of remote experiments. The system adopts a three-stage architecture of an instrument end, a cloud end and a client end, wherein the instrument end comprises a light source, a multi-stage optical device, a camera, a two-dimensional displacement console and a microcomputer which are arranged along a light path, and is used for executing an information optical experiment and collecting data; the cloud serves as a relay and is responsible for bidirectional forwarding and session management of experimental data and control instructions; and the client provides a remote interaction interface for a user. A user adjusts experimental parameters through the client, controls the displacement and state of the optical device, and issues an instruction to the instrument end for execution through the cloud; experimental images collected by the camera are coded and then distributed to the client side through the cloud side, and low-delay video feedback is achieved. The system is suitable for remotely carrying out information optical experiments such as spatial filtering, Fourier transform and scalar diffraction, effectively overcomes the limitation of a traditional information optical experiment on a site and time, realizes remote, interactive and resource sharing of a real optical experiment, and can remarkably improve the equipment utilization rate and the teaching and scientific research efficiency.

The intersection pedestrian traffic demand detection method based on coordinate positioning and video feedback comprises the following steps: a matrix position detection area is arranged on each of four corners of a road intersection, and a video feature acquisition component is arranged on each matrix position detection area; a corresponding detection time interval is set based on the sensor coordinate parameters of the initial contact of pedestrians in the matrix position detection area, and a traffic direction determination matrix is formed when the pedestrian passes through the matrix position detection area; the video feature acquisition component synchronously collects the action features and direction features of the pedestrian, iterated functions are used to calculate the elements of the traffic direction determination matrix, and the regression parameters of the traffic direction determination matrix are calculated; the traffic direction and traffic demand of the pedestrian are transmitted to a controller, the lighting period of the green signal of the corresponding direction, i.e., the pedestrian traffic period, is set in combination with the specific number of pedestrians.

The invention relates to a method for imaging a body part of a user according to a predetermined positioning instruction, comprising the following steps:a first step of acquiring a first image,a step of characterizing, in said first image, a first position of the body part,a step of determining a second position of the body part,a processing step in which doctored video feedback of the body part is displayed to the user so as to generate a self-correction by the user of the positioning of said body part according to the predetermined positioning instruction,a second step of acquiring a second image, during the processing step.

This application provides a display method and an electronic device. The method includes: each time the electronic device displays a first interface, it can display a video clip corresponding to the user's current real-time step count on the first interface. This provides feedback on the user's current real-time step count through the currently playing video, thereby motivating the user. Furthermore, by associating the user's step count with the video clip, the functional attributes of the wallpaper or transition animation displayed on the terminal are enriched, enhancing the user experience.

The application discloses a difficult airway laryngoscope soft tissue active traction system and laryngoscope based on micro-fluid negative pressure adsorption, which comprises a micro-fluid negative pressure adsorption network arranged on a lens working surface, which generates distributed adsorption force to stabilize the traction of the tongue root and the pharyngeal lateral wall; a driving unit arranged in a handle, which automatically lifts and pulls the lens by using negative pressure to drive a piston; a clamping table sleeved on the outer side of the handle and slidable in the axial direction, which abuts against the lower jaw of a patient to provide a counterforce fulcrum; and a lifting degree adjusting mechanism connected between the piston rod and the root of the lens, which realizes the accurate fine adjustment of the lifting height of the lens in a hand-off state through a vertical sliding groove, a sliding block and a knob. The application is of the adsorption-traction mode, cooperates with the lower jaw support and the fine adjustment mechanism, releases the hands of an operator, continuously adjusts the glottis exposure degree according to real-time video feedback, improves the glottis exposure angle and the first intubation success rate, and is suitable for difficult airway scenes such as tongue hypertrophy and cervical spine rigidity.

A computer system engages in a dynamic conversation with a viewer of a video while the video is being played. The system generates prompts to the viewer based on one or more of the following: previous inputs received from the viewer, content of the video, information extracted from the video (such as objects, characters, and scenes in the video), and external information (such as information about the series that contains the video). The system may use a trained model, such as a large language model (LLM), to generate the prompts. The conversation may be initiated by the system or by the viewer. The system may generate and adapt additional prompts based on the responses that the viewer provides to previous prompts in the conversation.

A computer system engages in a dynamic conversation with a viewer of a video while the video is being played. The system generates prompts to the viewer based on one or more of the following: previous inputs received from the viewer, content of the video, information extracted from the video (such as objects, characters, and scenes in the video), and external information (such as information about the series that contains the video). The system may use a trained model, such as a large language model (LLM), to generate the prompts. The conversation may be initiated by the system or by the viewer. The system may generate and adapt additional prompts based on the responses that the viewer provides to previous prompts in the conversation.

The invention discloses an accompanying pay-off remote control type underwater robot system and a method thereof, and belongs to the field of underwater robots. The device comprises an optical fiber take-up and pay-off module, an optical fiber guide module, an energy control cabin, a vertical propeller, a horizontal vector propeller and a structural frame. And one end of the optical fiber is fixed with the optical fiber take-up and pay-off module, and the other end penetrates through the optical fiber guide module and then extends out of the structural frame to the upper computer control terminal. The system receives a remote control signal issued by the upper computer control terminal through the energy control cabin, drives the optical fiber take-up and pay-off module to take up and pay off optical fibers so as to maintain a communication link, and controls other components to realize underwater attitude adjustment, environmental data acquisition and video feedback. The acquired information is transmitted to an upper computer control end, and the robot is controlled to execute operation through a control instruction. The system solves the problems that cables are prone to being damaged by structural friction and cable management is complex during detection of a traditional underwater robot, operation flexibility and reliability are improved, and the system is suitable for underwater exploration operation.

This application relates to a video playback method, apparatus, computer device, and storage medium. It includes: upon receiving an initial playback request from a first device, determining a first decoding capability of the first device, and encoding the video to be played according to the first decoding capability to obtain an initial encoded video; upon receiving an actual playback request for a video identifier from a second device, feeding back the initial encoded video to the second device; receiving a decoding result returned by the second device, and when the decoding result is a preset target result, obtaining a target decoding capability based on the first and second decoding capabilities; feeding back the target decoding capability to both the first and second devices; the fed-back target decoding capability is used to trigger the first and second devices to decode and play the video to be played according to the target decoding capability, respectively. This method can improve the efficiency of video playback.