1795 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 relates to the technical field of image recognition and storage, and discloses a driving video recording method and system based on four-way monitoring. The method comprises the following steps: synchronously acquiring and processing the surrounding environment of a vehicle and the head posture of a driver through a video stream to obtain driving attention reference data; compressing and storing the sight blind area data according to the head posture features to obtain hierarchical video data; performing enhanced mapping on the graded video data to obtain an attention compensation image; performing threat identification and sorting on the compensation image to obtain threat level data; establishing a threat level index structure; and performing hierarchical storage on the data according to the attention coverage degree to obtain a storage data set. According to the method and the device, the technical problem that key scene data may be lost due to lack of consideration of driver attention distribution in a multi-channel video real-time recording process is solved.

The invention discloses a digital human real-time interaction system and an AI voice dialogue chip circuit system thereof, and the system employs a modular design, and comprises the following modules: a BaseReal module which is responsible for audio frame management, TTS service initialization, video recording and customized audio and video cycle management; the media stream management module has an audio stream processing function and is responsible for real-time transmission of audio and video streams; the speech recognition module is responsible for speech feature extraction and text conversion; the text-to-voice module is used for converting the collected audio data into a text; the lip shape synchronization module is used for realizing real-time lip shape synchronization animation generation through lip shape synchronization algorithm optimization and inheritance of a basic class; and the large model module comprises an LLM large model based on mass data fine tuning, an api interface or a workflow agent. The method has the effects of voice recognition, text-to-voice conversion, lip shape synchronization, real-time audio and video interaction, real-time translation and the like.

One or more embodiments of the invention provide a video recording method and system based on an intelligent door lock, the method is applied to the intelligent door lock, and the method comprises the following steps: the intelligent door lock obtains a corresponding relation between face information and a first video shot by the intelligent door lock and from the time when the intelligent door lock detects the face information to the time when the intelligent door lock is unlocked; sending to the video equipment for storage; a neighbor intelligent door lock corresponding to the intelligent door lock sends a corresponding relation between the face information and a second video shot by the neighbor intelligent door lock from receiving a first message sent by the intelligent door lock to receiving a second message sent by the intelligent door lock to video equipment for storage; and a camera device deployed in a room corresponding to the intelligent door lock sends a corresponding relation between the face information and a third video shot by the camera device from the time when the camera device detects the face information to the time when the camera device does not detect the face information to a video recording device for storage. According to the invention, the whole-course video recording of the visitor visiting process can be realized.

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.

A system includes a platform configured to receive a video recording of a flight path of an object and initiate back-end processing of the video recording. The back-end processing may include data modeling, object detection operations, normalizing operations, adjusting normalize data based on meta_camera specifications to compensate for limitations of the user device used to create the video recording, and applying mathematical techniques to the adjusted data to derive metrics relating to the flight path of the object and to generate an enhanced video clip of the flight path. In an embodiment, the back-end processing may further include generating a trace line of the flight path of the object, adding the trace line to the enhanced video clip, transmitting the enhanced video clip and the metrics to the user device, and storing the enhanced video clip and the metrics in back-end storage.

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.

Sharing video footage having audio / video (A / V) recording and communication device (A / V device) model identifiers in accordance with embodiments of the present disclosure are provided. In one embodiment, a method for communicating in a network is provided, the method comprising receiving, from a first audio / video (A / V) recording and communication device (A / V device), at one or more servers in network communication with the first A / V device, first image data captured by a camera of the first A / V device; receiving, from a first client device associated with the first A / V device, at the server(s), a command to share the first image data with a network of users; determining a model identifier associated with the first A / V device; and transmitting the first image data and the model identifier associated with the first A / V device to a second client device of at least one user of the network of users.

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.

An audio processing method implemented by an electronic device includes entering a multi-channel video recording mode, detecting a shooting operation of a user, simultaneously recording, after detecting the shooting operation, a first video image and a second video image using a first camera and a second camera, and recording audio of a plurality of sound channels, where the audio includes panoramic audio, first audio corresponding to the first video image, and second audio corresponding to the second video image. The electronic device further records the first audio based on a feature value such as a zoom magnification corresponding to the first display area.

Embodiments of the technology described herein identify and mitigate phishing attempts by analyzing user input using a client-side proxy component and a proxy server. Embodiments disclosed herein provide systems, methods, and computer-storage media for employing proxy server capabilities in conjunction with a snapshot capturing an image or video recording of a target action input by a user into a software application. Certain embodiments disclosed herein employ proxy server capabilities to capture a snapshot and / or screen recording based on a user authorization or approval. For example, the proxy server proactively captures the snapshot or screen recording prior to, during, and after the user performing a target action. From the snapshot, certain embodiments extract snapshot features or determine enriched-contextual event data that is used to perform a mitigation action, generate a security mitigation score, or update an administrator portal activity log for an authorized administrator.

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 textile detection, and discloses a textile defect detection device which comprises a detection table, the detection table comprises two fixing plates, and the two fixing plates are connected through two fixing rods; the limiting mechanisms are arranged on the two sides of the fixing plate respectively; the video recording system is arranged between the inner walls of the two fixing plates and is used for textile video recording; and the two guide cylinders are rotationally connected between the two fixing plates. Through the design of the flattening mechanism, the textile is always kept in a flat state in the detection process, detection errors caused by wrinkles or wrinkles are avoided, the detection precision of the video recording system is remarkably improved, the video recording system can carry out real-time video recording on the textile and transmit data to a computer for analysis, rapid and accurate defect detection is achieved, and the detection efficiency is improved. The device realizes automatic winding and unwinding of textiles through the driving motor and the belt pulley set, reduces manual intervention, and improves the detection efficiency.

This disclosure relates generally to systems, methods, and computer readable media for providing improved insights and annotations to enhance recorded audio, video, and / or written transcriptions of testimony. For example, in some embodiments, a method is disclosed for correlating non-verbal cues recognized from an audio and / or video recording of testimony to the corresponding testimony transcript locations. In other embodiments, a method is disclosed for providing testimony-specific artificial intelligence-based insights and annotations to a testimony transcript, e.g., based on the use of machine learning, natural language processing, and / or other techniques. In still other embodiments, a method is disclosed for providing smart citations to a testimony transcript, e.g., which track the location of semantic constructs within the transcript over the course of various modifications being made to the transcript. In yet other embodiments, a method is disclosed for providing intelligent speaker identification-related insights and annotations to an audio recording of a testimony transcript.

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 utility model belongs to the field of experimental equipment, and particularly relates to experimental equipment for thermal runaway reaction of a lithium battery. The equipment is used for carrying out a battery thermal runaway experiment and collecting experimental data after thermal runaway of a lithium battery occurs under the conditions of heating, overcharging, short circuit or needling. The experimental equipment comprises a box body, a battery fixing device, a battery puncturing mechanism, an electrical detection and control device, a heating plate, a video recording device, a temperature sensor, a gas detection suite, a smoke sampling device and an upper computer. Wherein the box body adopts a sealed cabinet type box body, and a box door capable of being opened and closed is arranged in front of the box body. A drain valve is arranged at the bottom of the box body; the top of the back side plate of the box body is provided with an electrical outlet; an air outlet valve is arranged on the back of the box body. Various electric control devices are located in the box body, and an upper computer serves as a control center to achieve remote control and data collection. The scheme has the advantages of being simple in structure, low in cost, rich in function, high in safety, high in automation degree and convenient to use.

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 discloses a method for archiving, restoring and reading a DLF file generated by a record file and a video. The method comprises the following steps: acquiring original data of the record file and the video; generating a mapping relation table between the record file and the video time axis; carrying out structured processing on the record file to generate a record metadata file in an XML (Extensible Markup Language) format; creating a DLF file container; segmenting the video file into a key frame sequence, and generating a dynamic video OFD component; embedding the structured record file into an expansion layer of a dynamic video OFD component, and establishing a space-time association index of a record text and a video key frame; registering a dynamic interaction event in the guide file, and constructing a multi-layer nested structure; generating an interactive directory tree, automatically creating a navigable bookmark identifier based on a record paragraph keyword, and performing dynamic retrieval; and performing digital signature verification and archiving on the combined DLF file, thereby realizing associated reading in an archive system.

The invention provides a video stream processing method and device, a vehicle and a storage medium, and relates to the technical field of automatic driving. The method comprises the following steps: encoding each initial video frame in a video stream by adopting a video encoder to obtain an encoded video frame corresponding to each initial video frame; determining a target frame number corresponding to each service type according to the sending frame rate corresponding to each service type and the initial frame rate corresponding to the video stream; based on the target frame number corresponding to each service type, determining a sending mode of sending the coded video frame to a video stream receiving module corresponding to each service type; and sending the coded video frame to a video stream receiving module corresponding to each service type based on the sending mode corresponding to each service type. Therefore, the resource usage amount of the video encoder can be reduced, and video recording requirements of different service types can be met.

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 invention relates to the technical field of security and protection video monitoring, and discloses a video recording control method of a camera device, a controller, the camera device and a storage medium, and the method comprises the steps: determining whether a first region in a monitoring region of the camera device is triggered by a target event, and the first region is smaller than the monitoring region; and when it is determined that the first area is triggered by the target event, controlling the camera device to start recording the monitoring area. In this way, the endurance time of the camera device is prolonged.

The current document is directed to computationally efficient, robust, and accurate methods and systems that determine the heartbeat rate of human subjects, patients, and / or participants monitored by a video-recording-capable device or system by analyzing video recordings of human subjects, patients, and / or participants, either in real time or following video recording. The currently disclosed methods and systems employ face-recognition methods to identify adaptive regions of interest corresponding to facial-skin areas. Spatial averages of the intensities of light components with different frequencies reflected from the identified adaptive regions of interest are extracted from the video recording as intensity signals. The intensity signals are then analyzed to extract detrended, band-pass-filtered oscillating light-intensity signals that are processed by spectral and peak-finding methods that each produces a determined heartbeat rate for each of multiple time intervals.

Various techniques are described for analyzing video recordings for endoscopic medical imaging and other types of medical imaging. In some examples, a system generates intelligent interest prediction metrics displayed in association with a timeline search bar of a video recording. The intelligent interest prediction metrics are quantized and scored on a time axis based on one or more parameters. In other examples, the system intelligently selects key frames from different video segments for display as thumbnails associated with the segments. These techniques can improve efficiency, accuracy, and speed, with which doctors can examine and identify important aspects of recorded endoscopic procedures.

According to the intelligent borescope detection system for the aero-engine, in the system, an image acquisition module is arranged in a shell and used for acquiring image data of blade damage of the aero-engine; the image processing module is arranged in the shell and is connected with the image acquisition module so as to perform model reasoning and judge the type of blade damage based on the image data to obtain a detection result and a state; the display module is arranged on the shell and is connected with the image processing module to display the detection result and state in real time; the power supply module is arranged in the shell and is connected with and supplies power to the image processing module, the image acquisition module and the display equipment; the detection interface realizes real-time borescope inspection of the aero-engine in a man-machine cooperative interaction manner, and the specific functions comprise checking, storing, photographing, video recording, detecting and the like; and the detection unit is mainly used for reasoning and identifying the image data of the damage of the aero-engine blade acquired by the image acquisition module.

The invention provides a low-power-consumption wireless camera self-adaptive night vision system and an energy-saving control method, and relates to the technical field of image communication and monitoring, an infrared detection unit is used for identifying human infrared signals so as to judge whether video recording needs to be started or not, a partition acquisition strategy is started according to personnel position coordinates, and meanwhile, the energy-saving control method is used for monitoring the human infrared signals. By concentrating night light supplement of the wireless camera and reducing misjudgment of moving objects such as animals, the endurance of the wireless camera is improved, and meanwhile useful video data are collected in a targeted mode, so that loss of personnel and property under the condition similar to camping is reduced.

A system for video recording for a vehicle includes a camera system, a first wireless module, a second wireless module, and a controller in electrical communication with the camera system, the first wireless module, and the second wireless module. The controller is programmed to transmit a plurality of original training signals on a plurality of subcarriers using the first wireless module. The controller is further programmed to receive a plurality of propagated training signals using the second wireless module. The controller is further programmed to determine a deviation between the plurality of original training signals and the plurality of propagated training signals. The controller is further programmed to determine an occupancy status of an environment surrounding the vehicle based at least in part on the deviation and record a video using the camera system in response to determining that the occupancy status is an occupied status.

The invention relates to the technical field of mining engineering, in particular to an extra-thick coal seam fully mechanized caving face bearing pressure distribution simulation analysis method which comprises the steps of S1, bearing stability analysis; s2, crack analysis; s3, analyzing the influence of the topping operation; s4, evaluating feasibility of roof cutting roadway protection; according to the method, the stress data of the coal pillar are collected and analyzed to obtain the bearing stability of the coal pillar, the crack propagation speed is analyzed through image acquisition, so that the crack severity degree of the top plate is obtained, and the effect evaluation coefficient of the coal seam roof cutting operation is obtained according to the pressure parameter analysis of the coal seam working face after the roof cutting operation. The roadway deformation amount and the surrounding rock stability are obtained through video recording analysis, and then the feasibility of roof cutting roadway protection is obtained through analysis, so that the coal seam fully mechanized caving face bearing pressure influence evaluation index is comprehensively analyzed, targeted measures can be better taken to guarantee operation safety, the mining technology and process can be optimized, and the mining efficiency is improved.

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.