1267 results about "Video recording" patented technology

The invention discloses an ASR identification enhancement method based on audio and video recording. According to the method, the accuracy and compliance of voice recognition in the financial service interaction process are improved by fusing the audio and environment feature information in the banking business double-recording scene. The method comprises the following steps: firstly, constructing an acoustic model for a bank outlet environment, and extracting audio features and interaction scene information of conversation between a client and a worker; and then, designing a vocabulary recognition module special for the financial field, dynamically adjusting language model parameters according to professional term libraries and utterance modes of different business types, and effectively coping with key links such as financial product introduction, risk prompt and customer confirmation. Compared with a traditional ASR system, the voice recognition accuracy in the banking business handling process is remarkably improved, particularly, key term recognition and important information extraction are prominent, and more reliable technical support is provided for financial service standardized management and double-recording quality inspection.

The invention provides a ship video concentration and intelligent retrieval method and system based on edge nodes, and belongs to the technical field of edge computing, and the method comprises the steps: S1, collecting ship video data; s2, an edge node generates a concentrated video and metadata through an improved Gaussian mixture model, an improved DeepSORT algorithm and a dynamic concentration proportion adjustment algorithm; s3, synchronously concentrating the index information of the videos and the metadata by each edge node through a publishing-subscribing mode; s4, training a lightweight intelligent retrieval model through a knowledge distillation algorithm; s5, calling the lightweight intelligent retrieval model to match the corresponding concentrated video clip, and returning a retrieval result; and S6, collecting feedback information of the user on the retrieval result, and performing incremental optimization on the lightweight intelligent retrieval model through an elastic weight consolidation algorithm. According to the invention, efficient monitoring management is realized through edge localization processing, cross-node cooperation and closed-loop optimization architecture, and the actual requirements of ship safety monitoring and operation management are met.

Examples relate to computer-implemented methods for analyzing communication in digital evaluation. A computing device accesses multimodal data comprising video and audio information of human subjects and configures a computational model using this data to identify patterns in communication that correlate with assessment metrics. The configuring implements processing techniques that preserve relationships between features across different modalities. When a video recording of a candidate is received, the computing device processes the video using the configured computational model to extract communication features. These features may include facial expressions, gestures, eye movements, posture, vocal tone, and speech patterns. The device generates an evaluation of the candidate based on the extracted communication features and outputs a representation of the evaluation.

A real-time badminton action detection system, consisting of: a video recording module configured to continuously record video images at a frame rate of at least thirty frames per second; a pose estimation processing unit configured to detect and output two-dimensional skeletal landmark coordinates for a variety of body joints, including at least wrists, elbows, shoulders, hips, knees and ankles, from each video frame; a Motion Bidirectional Encoder Representation Transformer (Motion-BERT) configured to receive sequential skeleton landmark coordinates over a defined time window and encode motion trajectories using multi-head self-attention mechanisms across past and future frames; and a classification controller module operationally coupled to the Motion-BERT, wherein the classification controller module comprises a dense neural network with a softmax output layer configured to generate real-time probability distributions over a variety of badminton-specific action classes, the end-to-end system being configured to produce recognition results with a processing latency of less than 100 milliseconds; and wherein the video recording module comprises a high-speed digital camera with a wide-angle lens positioned at a point on the perimeter of the court, the camera being calibrated with intrinsic and extrinsic parameters for perspective correction, and wherein the system includes a calibration routine that aligns detected skeletal landmarks with a reference badminton court coordinate system.

A mobile security robot includes a human-sized mannequin mounted on a vehicle. A storage unit, mounted on the vehicle, stores security devices and high-powered energy storage devices for facilitating extended patrols without recharge. A video recording system, disposed in the mannequin, continuously records images of a patrol area. Multiple sensors mounted on and proximal to the mannequin generate sensor data based on environmental conditions of the patrol area. A computing system coupled to the sensors processes the sensor data using artificial intelligence models and generates action commands for execution of tasks by actuators including electric motors, robotic arms, and supplementary attachment devices. The electric motors run the vehicle at different speeds with wheel speed feedback based on the environmental conditions and navigate the vehicle along a predefined travel path with object avoidance during patrols. User interface devices facilitate auditory and visual communication with humans in the patrol area.

The invention presents an advanced soccer training system designed to revolutionize traditional practice methods through a synergy of technology and interactivity. It features an integration of sensors, Artificial Intelligence, and Augmented Reality technologies, providing real-time feedback, immersive simulations, and personalized training experiences. The system promotes skill development via data-driven insights and dynamic training environments, supported by mobile application connectivity for customized training regimens and performance analysis. Additional attributes include energy-efficient design, user-friendly transport mechanisms, and extensive multimedia capabilities like video recording and photo capture for skill review, establishing a novel paradigm in athletic training and development.

The invention relates to the technical field of vehicle-mounted electronic equipment, in particular to a dynamic pre-allocation storage method. The method comprises the following steps: acquiring a video recording parameter set and a capacity attribute set of an SD card, and determining a block strategy table; generating a pre-division structure set by using the block strategy table and a preset storage setting rule; based on a preset event triggering rule table, matching sensor data of a current input frame segment, identifying a trigger video event type, extracting a corresponding pre-divided structure block address through the pre-divided structure set, and generating a path index table; starting a sequential write-in control mechanism based on the path index table, counting the start-stop position of a write-in result set frame segment and the residual capacity of a block segment, and determining a write-in result set and a space state table; according to the method, a dynamic pre-allocation and sequential write-in mechanism based on event driving is introduced, so that the storage fragmentation degree is remarkably reduced, the write-in efficiency and the equipment durability are improved, and the storage integrity and the management controllability of important videos are enhanced.

The invention discloses a Gaussian splash dynamic three-dimensional reconstruction method and system based on spiking neurons, and the method comprises the steps: carrying out the multi-view video recording of a reconstruction target, and obtaining a two-dimensional RGB image sequence and time dimension data; based on the two-dimensional RGB image sequence, sparse point cloud data and a camera pose are calculated by using a COLMAP algorithm, and a three-dimensional Gaussian ellipsoid is initialized based on the sparse point cloud data; constructing a Gaussian deformation field network, and inputting time dimension data and position information of a three-dimensional Gaussian ellipsoid for training a time-varying deformation field of the Gaussian ellipsoid; and based on the camera pose and the two-dimensional RGB image sequence, optimizing parameters of a three-dimensional Gaussian ellipsoid and a deformation field by using a spiking neuron-based Gaussian splash algorithm, outputting the optimized three-dimensional Gaussian ellipsoid and the deformation field, rendering an RGB image in a specific pose state and time, and realizing dynamic three-dimensional reconstruction. According to the method, Gaussian storage redundancy is remarkably reduced, generation of reconstruction artifacts is inhibited, and rendering and training efficiency is improved.

The invention provides a method and a system for quickly and accurately jumping and playing an HLS (HTTP Live Streaming) video, which are characterized in that an m3u8 file is downloaded and analyzed, a detailed index of a TS (Transport Stream) fragment is constructed, the TS fragment is downloaded and stored in a local cache in a multi-cache mode, an FFmpeg tool is adopted to pull data in the local cache, then de-multiplexing, decoding and rendering are performed, and an intelligent Seek algorithm is utilized to quickly and accurately jump and play the HLS video. The TS fragment near the target time point can be quickly positioned in Seek, and the TS fragment is intelligently shifted forwards for a certain time to start downloading. The system comprises an m3u8 index file downloading and analyzing module, a double linked list construction module of TS fragments, a total byte number acquisition module of the TS fragments, a multiple cache module, an FFmpeg tool module and a Seek jump module. The method has the beneficial effects that rapid and accurate jump playing of the HLS video is realized, when the TS fragment is too long and the network condition is not ideal, the Seek operation waiting time of the user is effectively reduced, and the watching experience of the user is improved.

The invention provides an automatic chemical reaction monitoring device and method. An automatic chemical reaction monitoring device comprises a chemical reaction unit, a temperature and pressure monitoring unit, a data processing unit, a video recording control unit and a synchronous clock unit, data are collected in real time through a high-precision temperature and pressure sensor, and a dynamic threshold value calculation module generates a self-adaptive threshold value based on a reference value and data fluctuation characteristics; the temperature and pressure combined trigger module identifies the jump characteristics and triggers video recording, and the synchronous clock unit realizes millisecond-level time synchronization of multi-source data. The method comprises the steps of reagent injection, temperature and pressure monitoring, dynamic threshold calculation, jump identification triggering, data synchronous recording and the like. The embodiment shows that the device can accurately capture transient temperature and pressure changes of the chemical reaction, the anti-interference capacity is remarkably improved compared with traditional fixed threshold triggering, and the device is suitable for chemical reaction mechanism research and industrial process control needing to monitor temperature and pressure coupling changes in real time.

The present invention provides a method and a system for monitoring the mobility levels of individual farm animals and accordingly determining their corresponding mobility score. The mobility score may be indicative of the health and / or welfare status of the animals. The present invention processes a 2D video recording obtained from an imaging device to detect the movement of individual animals through a space. The video recording is segmented over a set of individual frames and in each frame the individual instances of the animal appearing in the vide frame are detected. The detected instances of each animal over a number of frames are grouped together. From each detected instance of an individual animal a set of reference points are extracted. The reference points are associated with location on the animal body. The present invention determines the mobility score of each animal by monitoring the relative position between reference points in each frame and the relative position of each reference point across the set of individual frames associated with an animal.

A media sharing and communication system, including a recording mechanism that records a desired portion of media upon activation by a first individual user, a first user transmitter / receiver that transmits the portion of media and a message generated by the first individual user regarding the portion of media to a second individual user and is capable of transmitting a message to a second individual user, a confirmation mechanism that confirms that the second individual user is authorized to view the portion of media, a notification mechanism that notifies the first individual user if the second individual user is not authorized to receive the portion of media, a second user transmitter / receiver that receives the portion of media and voice message upon authorization of the second individual user, a search mechanism, and a video recording mechanism, an online betting module, and an online food ordering module.

The invention relates to the technical field of electronic contract signing, in particular to an electronic contract signing method and system for video recording willingness authentication, and the method comprises the steps: associating a contract with signing party information through generating a unique task identifier, automatically triggering video recording in a signing link, and completing identity verification in advance; then multi-dimensional information including biological characteristics, willingness statement audio and a signing operation process is synchronously collected in the continuous recording process, finally, characteristic values of a recorded file and a contract file are calculated respectively, and the characteristic values, digital signatures and task identifiers are fused and stored in a tamper-proof mode. The real-time and strong association binding of the video evidence and the electronic contract on the data level is realized, the traceability, tampering prevention, completeness and credibility of the whole signing process are ensured, and the technical problems that in the prior art, the audio-visual evidence and the electronic contract are mutually independent, loose in association and easy to tamper, and a complete evidence chain with judicial proving power is difficult to form are effectively solved.

1. Name of the product in this design: Pan-tilt body of a pan-tilt camera. 2. Purpose of this design: The overall purpose of the product is for use as a pan-tilt camera for video recording and monitoring, and the protected part is for use as the pan-tilt body of the pan-tilt camera. 3. The key design features of this product are the shape of the part for which protection is sought. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. Other situations requiring explanation: The part drawn with a dotted line is the part that is not sought to be protected in this case.

A video recording apparatus includes a camera, a motion detection controller, and a main controller. The camera performs a video recording function of an outside of a vehicle. The motion detection controller obtains sensing data in a digital format at specific intervals based on a reception signal of radar, determines signal strength of the reception signal based on the obtained sensing data, determines target data when the signal strength is greater than or equal to a threshold strength, and outputs an activation signal when a number of the target data is greater than or equal to a first threshold value, where the main controller activates the camera upon receiving the activation signal.

The invention provides a scene multi-focal-length target video coding method. The method comprises the following steps: determining key targets which need to be subjected to key recognition; setting a zoom video recording system and a plurality of fixed-focus video recording systems; according to image data and position information, matching the same key targets in the zoom camera video frame and each fixed-focus camera video frame; and fusing the obtained image data with the highest definition of the key target to the position of the same key target in the zoom shooting video frame. The invention provides a scene multi-focal-length target video coding method, which is a method capable of enhancing the definition of a plurality of specific targets in a video recording system, and specifically, a zoom video recording system and a fixed-focus video recording system are used for cooperatively working, and specific targets in a fixed-focus system and a zoom system are intercepted; the target with the highest definition is calculated through an algorithm, and then the target data is fused into the frame of the zoom video stream, so that a plurality of targets of the zoom video stream can keep high definition.

This application provides a video recording setting method. The method includes: displaying, by the electronic device, a first video picture, a second video picture, and a first control; displaying, by the electronic device, a second control, a third control, and a fourth control in response to a first user operation performed on the first control, where the second control is displayed in a selected state, and the third control is displayed in an unselected state; stopping displaying, by the electronic device, the first video picture in response to a third user operation; and displaying, by the electronic device, the second control, the third control, and a fifth control in response to a fourth user operation performed on the first control, where the second control is displayed in an unselected state, and the third control is displayed in a selected state.

The invention discloses a door lock video recording method and system based on event value driving, and the method comprises the steps: detecting an event of a person according to a first door lock, obtaining a video stream address of a second door lock through door relation information, and synchronously caching video streams of the door locks of both parties; judging event types according to video analysis results, storing complete video streams of both parties for important events, and only storing panoramic images for non-important events; according to the door lock face detection time difference and the residual storage space of the two parties, negotiating to determine a single door lock to store video streams of the two parties; and according to a user query request, locally and directly responding or obtaining video data through door collaboration to finish query display. By utilizing the embodiment of the invention, efficient video acquisition and storage can be realized through cooperation of event driving and a door lock, the integrity of security and protection video records is improved, the storage space is saved, and more efficient and reliable intelligent query response is supported.

A building security system includes computer-readable storage media having instructions stored thereon that, when executed by processors, cause the processors to: receive, from cameras communicably coupled to the building security system, video data, wherein the video data includes one or more video recordings, retrieve contextual information associated with the video data, analyze, using one or more artificial intelligence models, the video data, wherein the analysis of the video data includes detecting one or more details, determine, using the one or more AI models, based on the contextual information and the one or more details detected within the video data, a relevance of the one or more video recordings, and, based on the relevance of the one or more video recordings, automatically implement, using the one or more AI models, an action to delete or reduce a storage size of at least one of the one or more video recordings.

A method for non-contact modal analysis uses an optical sensing device such as a video camera. Unlike traditional modal analysis, requiring accelerometers or force sensors to measure the modal characteristics of a structure and animate the motion of a wireframe model of the test structure, the inventive system mathematically modifies the original video recordings by filtering, amplifying, and modifying the playback rate or applying modal shape mask or vectors to produce modified video to show motion at each modal frequency. This provides animated mode shapes with higher spatial and temporal resolution that possible with the traditional approach of using wireframe model animations.

The invention discloses a sugarcane live-action three-dimensional phenotype extraction method based on a 3D Gaussian splashing technology. The method comprises the following steps of data acquisition, wherein a 360-degree omnibearing shooting mode is executed around a single sugarcane plant for shooting or video recording to obtain complete image or video data of the sugarcane plant; preprocessing the data; 3D model construction comprises the following sub-steps: SfM sparse reconstruction: instance segmentation; the method comprises the following steps: carrying out 3D Gaussian Splicing guided by a mask; point cloud data processing includes the following sub-steps: point cloud preprocessing including voxel downsampling, statistical filtering and radius filtering; segmenting and identifying stalks / leaves; the segmentation comprises RANSAC plane segmentation, DBSCAN clustering and region growth; the phenotype analysis comprises grid reconstruction and area / volume / perimeter / plant height calculation. According to the invention, the problems of difficult data acquisition, large workload and incomplete information acquisition in the prior art are solved.

The intelligent badminton court comprises a standard badminton court and a net rack located in the middle of the standard badminton court, the net rack comprises an intelligent net post for supporting a badminton net, and the intelligent net post comprises an intelligent control platform at the bottom, a supporting rod located on the intelligent control platform and an identification recording module located at the top of the supporting rod; the recognition and recording module can track and record the movement trace of the badminton and is connected with the signal end and the control end of the intelligent control platform, and the recognition and recording module transmits video signals to the intelligent control platform and receives control signals of the intelligent control platform. The problem that existing shuttlecock real-time perception and interaction are difficult to apply to daily playing scenes is solved, and the method can be widely applied to sports venues.

The invention relates to the technical field of electronic security and protection, in particular to a 3D electronic fence detection method based on a monocular camera, and the method comprises the following steps: carrying out the fine tuning of YOL0v5-1 through collecting multi-scene pictures, detecting a human body, and estimating the depth through a ZoeDepth model. After the human body is detected, comparing the depth values of the human body and the preset dangerous area, and giving an alarm if a threshold value is exceeded. The alarm modes are diversified, and the threshold value can be adjusted to adapt to different environments. The method has remarkable cost benefit and flexibility, real-time and accurate human body detection and space positioning are realized through deep learning, intrusion behaviors are intelligently judged, and false alarms are reduced. The system is highly customizable, adapts to different scene requirements, supports diversified alarm output and video recording functions, and facilitates subsequent processing. Along with technology development, the system has intelligent upgrading potential, high precision and stability can be kept in a complex environment, and the safety protection level is comprehensively improved.

Systems and methods are disclosed for preparing encoded video streams at a video recorder. One or more encoding parameter values for capturing the video using the camera can be selected, based at least in part on one or more of a usage pattern of requesting video from a camera or a detected content of a video from the camera or an access control event in an area associated with the camera. The camera can be configured to provide a video stream using the one or more encoding parameter values, and the video stream encoded based on the one or more encoding parameter values can be received from the camera.

The embodiment of the invention relates to a method and device for creating a virtual object, equipment and a storage medium. The method comprises the steps that in response to a request for creating a virtual object associated with a user, a configuration interface is presented, and the configuration interface comprises a shooting assembly; obtaining a group of continuous pictures of the user in real time through a shooting assembly, so as to determine a plurality of images associated with a plurality of preset angles from the group of continuous pictures; and creating a virtual object associated with the user, the virtual object having a visual image generated based on the plurality of images. In this way, according to the embodiment of the invention, the visual image of the virtual object can be set more efficiently in a video recording mode.

The invention is suitable for the technical field of equipment control, and provides a control method and a control device of portable video equipment, and the portable video equipment. The control method comprises the following steps: in response to a first trigger operation on a preset combined key on the portable video equipment, controlling the portable video equipment to enter a privacy mode; in the privacy mode, the portable video recording equipment is forbidden to start at least one intelligent linkage video recording function, and the intelligent linkage video recording function is a function of starting a video recording function when a preset condition is met. According to the invention, the risk of privacy disclosure can be reduced.

A system (100) for providing a recommended video production (80) is disclosed herein. The system (100) comprises an overview camera (10) for capturing an overview recording, additional camera(s) (15a-n) for capturing additional recordings, and a back-end video production unit (44). The back-end video production unit is configured to receive the recordings being synchronized in time, apply image processing algorithm(s) to the overview recording for determining interest levels, wherein interest levels are associated with real-world events occurring within and around subareas of the real-world target field (20), select video contents among the recordings, wherein the selection is based on the interest levels as defined by the processed overview video recording, and based on said selection, produce the recommended video production (80) that, for each time unit, comprises video contents reflecting a currently highest interest level among the overview video recording and the additional video recording(s).

The invention discloses a digital video tampering detection method and system based on power grid frequency, and the method comprises the steps: deleting the visual content in a digital video to obtain the power grid frequency, enabling the power grid frequency to be embedded in a noise component of the digital video in an optical form, and carrying out the average processing in a column direction to obtain a line signal; filling the row signal of each frame in the idle time period to be zero, splicing all frames to construct a one-dimensional time sequence, and tracking a power grid frequency signal estimated value through S transformation; and matching the obtained power grid frequency signal estimation value with a reference frequency, and determining whether the digital video is tampered or not through frequency abrupt change. The invention aims to solve the problems of incomplete and distorted power grid frequency signals caused by time distortion in existing video power grid frequency estimation and the problem that high-precision extraction of the power grid frequency signals is restricted by complex background interference in a video recording process. Power grid frequency signals are accurately extracted, and high-precision detection and stable identification of video tampering behaviors are realized.

The invention relates to a recorded video authenticity detection system and method, and belongs to the technical field of video detection, and the system comprises a client or a front end which is used for obtaining key frame feature setting sent by a back-end server, determining a key frame based on the key frame feature setting and carrying out feature noise injection in a video recording process, after the video recording is finished, the recorded video is packaged, and the packaged video is sent to a back-end server; wherein the key frame feature setting comprises a feature vector setting mode, and the feature vector setting mode comprises a static setting mode and a dynamic setting mode; and the back-end server is used for receiving the packaged video sent by the client or the front end and verifying the packaged video to obtain a verification result, and the verification result comprises a real recorded video or an unreal recorded video. According to the system, the video recorded by the client can be efficiently verified, and the verification accuracy is improved.

A video recording control device includes an imaging data obtaining unit that obtains imaging data; a luminance calculating unit that divides the imaging data into regions and calculates luminance for each divided region; a light source region setting unit that sets, as light source regions, the regions for which the luminance calculated by the luminance calculating unit is equal to or higher than a luminance threshold value; a luminance adjusting unit that adjusts the luminance of the light source regions either to the average value of luminance of other regions excluding the light source regions or to a predetermined value, and obtains post-adjustment data; and a recording control unit that records, in a recording unit, the imaging data along with the post-adjustment data having the luminance adjusted by the luminance adjusting unit.