527 results about "Video capture" patented technology

The invention relates to the technical field of artificial intelligence, and discloses a Bluetooth communication intelligent speech translation method and system based on multi-mode enhancement, and the method comprises the steps: collecting a multi-channel audio signal through a built-in multi-microphone array of a Bluetooth device, carrying out the dynamic direction self-adaptive beam forming of the multi-channel audio signal, and carrying out the self-adaptive beam forming of the multi-channel audio signal; extracting a Mel spectrogram feature of the direction enhancement signal, identifying lip regions of a plurality of candidate speakers in each frame of real-time speaking video captured by a camera, performing time sequence convolution on the lip regions to obtain a lip movement time sequence embedded vector, calculating a correlation score with the Mel spectrogram feature, separating the direction enhancement signal, and obtaining a lip movement time sequence embedded vector; and performing text transcription and conversion on the high-confidence separation voice to obtain a translation language text, and sending the synthesized target translation voice to a preset mobile terminal through the Bluetooth device to obtain a target translation result. According to the method, the real-time performance and accuracy of speech translation are improved in a multi-person scene, far-field speech, noise interference and accent difference.

The embodiment of the invention discloses a classroom attention monitoring method and device, equipment and a storage medium. In a teaching mode, a first video shot by a first camera capable of shooting a human face and a second video shot by a second camera capable of shooting a full view of a classroom are utilized to obtain a moving path of a head of a teacher and a sight path of sight of each student; the classroom attention is monitored through the similarity between the moving path and the sight line path, whether the sight line of the student follows the movement of the teacher in the teaching mode can be effectively monitored, the attention of the student on the teaching content is reflected by following the movement of the teacher, and the attention monitoring accuracy is effectively improved.

The invention discloses a video processing method and device, equipment and a medium. The method comprises the following steps: acquiring a plurality of initial videos collected by a plurality of cameras; performing picture feature extraction based on the plurality of initial videos to obtain a plurality of static features and a plurality of dynamic features; performing feature fusion on the plurality of static features and the plurality of dynamic features to obtain an interested image, the interested image being used for representing that the initial videos collected by the at least two cameras comprise images of the same area; and based on the interested image, performing video stitching on the plurality of initial videos to obtain a panoramic video. According to the embodiment of the invention, a panoramic image of a blind area can be provided for a vehicle owner in real time, the possibility of an accident is reduced, and a clear video image can be conveniently provided after the accident occurs.

A server receives and rebroadcasts live streaming video content from a video capture device, such as a mobile phone or unmanned surveillance vehicle. The server includes a media server configured to stream selected video content to a client device, a video analysis system configured to analyze the live video content and generate object detection data, a storage system configured to store the generated object detection data and an identifier of the associated live video content, and a search engine configured to receive a text-based search request, search the object detection data stored in the storage system for relevant search results, and generate a list of live and stored video content associated with the relevant search results.

A substrate processing system comprises an edge computing device including processor that executes instructions stored in a memory to process an image or video captured by camera(s) of at least one of a substrate and a component of the substrate processing system. The component is associated with a robot transporting the substrate between processing chambers of the substrate processing system or between the substrate processing system and a second substrate processing system. The cameras are located along a travel path of the substrate. The instructions configure the processor to transmit first data from the image to a remote server via a network and to receive second data from the remote server via the network in response to transmitting the first data to the remote server. The instructions configure the processor to operate the substrate processing system according to the second data in an automated or autonomous manner.

A system comprises a video capture module to acquire a video, a preprocessing module to enhance video quality and isolate regions of interest within the video, and a biometric data extraction module using remote photoplethysmography to extract heartbeat and SpO2 levels from the video. A machine learning module analyzes the extracted biometric data for liveness and deepfake detection, a verification module to compare the analyzed data against known biometric signatures, and a user interface to display analysis results and alerts.

To provide an efficient work time management system which reduces human cost for managing work time of a vehicle.SOLUTION: A work time management system 1 includes: an acquisition unit 31 which acquires a video captured by an imaging apparatus 11; vehicle detection means 33 which detects the presence of a predetermined vehicle (concrete mixer truck) from the video acquired by the acquisition means 31; vehicle identification information recognition means 34 which recognizes identification information (vehicle registration number) of the vehicle; work time determination means 36 which determines the time at which the vehicle is detected from the acquired video and the identification information of the vehicle is recognized, as work start time, and determines the time at which the vehicle is no longer detected from the acquired video and the identification information of the vehicle is no longer recognized after the start of the work, as work completion time; and work status determination means 37 which associates the work start time and work completion time determined by the work time determination means 36 with the identification information of the vehicle to determine work status.SELECTED DRAWING: Figure 3

An information processing apparatus comprises a controller configured to: output, based on a travel history of at least one vehicle, position information of the vehicle for generating a map on which a plurality of icons indicating positions of the vehicle at a plurality of time points are arranged, output time information corresponding to at least one icon among the plurality of icons, and transmit a video request requesting transmission of a video captured at a corresponding time point, to a vehicle or an onboard apparatus corresponding to a first icon specified by a first user operation.

An audiovisual system uses a spatial position detection module to process audio signals and determine the location and orientation of a speaking participant. Based on this data, the system dynamically controls sensors to optimize audio and video capture. Behavioral and contextual information may also be used to train intelligence models for improved system performance. Further, sensor arrays may be utilized to identify gaze vectors of participants to select a camera sensor of the sensor array. Meeting content collected with the sensor array may be organized into meeting metrics in accordance with an analytics strategy before training an intelligence module with the meeting metrics. Meeting content may also be configured into digital tiles in accordance with a tile strategy. At least one of the digital tiles may be altered in response to a meeting condition detected by the sensor array.

A golf assistance system includes: a cart unit attached to a cart serving as a means of transportation in the golf playing area, the cart unit including: a cart camera configured to capture a video around a periphery of the cart and to track and capture the user in the video; a generator configured to generate, based on data of the video captured by the cart camera, assistance information for providing a predetermined assistance content to the user; and presentation processor circuitry configured to present the assistance content based on the assistance information; and a terminal device capable of being carried by the user in the golf playing area, wherein the cart unit includes a cart transmitter configured to transmit the assistance information generated by the generator to an outside.

Systems and methods for scanning optical codes with improved energy efficiency are disclosed. In some embodiments, a disclosed method includes: obtaining a video captured by a camera; determining, based on a machine learning model, whether an optical code is included in any frame image of the video; presenting a viewable area on a display operatively coupled to the camera, once the video starts to include at least a portion of the optical code; and dynamically adjusting the viewable area based on a size of the optical code in each frame image of the video.

The embodiment of the invention provides a system and method for online measurement of the slag state in electric arc furnace steelmaking, and relates to the field of steelmaking, the system comprises a front-end audio acquisition unit, a signal processing unit, a video splashing detection unit and a picture debugging display unit, the front-end audio acquisition unit is used for acquiring a noise signal in a furnace, and the signal processing unit is used for processing the noise signal; the signal processing unit is used for carrying out frequency division processing on the received noise signal, outputting a standard signal and obtaining a voiceprint slagging curve based on the standard signal, the video splashing detection unit comprises a video filtering camera and a video acquisition card and is used for acquiring an electric furnace mouth image picture, and the picture debugging display unit is used for displaying the electric furnace mouth image picture. The method is used for displaying the voiceprint slagging curve and the electric furnace mouth image. Intelligent measurement and control of the slag state in the steelmaking process of the electric arc furnace are achieved, manual intervention is reduced, the steelmaking efficiency and the molten steel quality are improved, the production cost is reduced, and wide application prospects are achieved.

An underwater video monitoring assembly for monitoring objects in proximity to a boat includes a set of video capturing modules and a computer, which are mountable to a hull of a boat and to the boat, respectively. The computer comprises an onboard transceiver. An onboard display is operationally engaged to the computer and is mountable to the boat. Each video capturing module comprises a transparent housing. A camera and a transmitter are attached to and positioned in the transparent housing, with the transmitter being communicatively engaged to the camera. The camera captures video in a space around the hull and the transmitter transmits the video to the computer, which evaluates an object in the video and selectively signals the onboard display to present one or more of a position of the object, a proximity warning, and a threat warning.

To enable improvement in reliability of counting results while reducing playback time of captured videos, and to enable reduction of burden on operators in checking counting results.SOLUTION: A fish counting system is provided, comprising a counting unit for counting the number of fish based on a captured video of a fluid containing fish, a display unit for playing back the captured video, and an adjustment unit for adjusting the playback speed of the captured video. The adjustment unit changes playback speed of the captured video according to the number of fish counted by the counting unit when the display unit plays back the captured video.SELECTED DRAWING: Figure 1

An inside cabin sensor system, having an integrated, single hardware part comprising a camera sub-system and an integrated radar sub-system is proposed. A proposed system provides related information for covering the following applications inside a vehicle: Child Presence Detection (CPD), Driver Drowsiness & Fatigue (F), Driver Distraction (DD) as a safety-relevant function, complemented by Intrusion & Proximity Alert (IPA), Seat Occupancy Detection (SOD), Face Recognition (FR), and optional applications such as Driver Emotion (ES), Passenger Classification (PC), Airbag Suppression (AS), Airbag Activation (AA), Mobile Phone Detection (MP), Gesture Detection (GD) and Vital Signs Detection (VS). A proposed system utilizes Artificial Intelligence (AI)-related data processing for data processing, using radar point cloud data, calculated by said radar sensors. The proposed system utilizes Artificial Intelligence (AI)-related data processing for data processing, using video-captured data. The proposed system utilizes Artificial Intelligence (AI) -related data processing for sensor data fusion, using radar sensor and video sensor data.

Systems, video cameras, and methods for predictive adjustment of multi-camera surveillance video data capture based on a network of sub-region graph maps are described. Different groups of networked video cameras are deployed across a region and represented in sub-region graph maps based on the physical locations of the video cameras and interrelated through a master graph map. Each group of networked video cameras includes a master video camera able to connect directly and / or through a control center to the master video cameras in other groups to share video capture update messages in response to regional video alert events.

A video capture device may be encode a set of original pictures to create encoded video data, decode the encoded video data to create a set of reconstructed pictures, determine a subset of parameters to update from among a plurality of parameters of a post-processing filter network, including using the set of original pictures as ground truth and the set of reconstructed pictures as input to the post-processing filter network, update the subset of parameters to generate updated parameters, and send the encoded video data and the updated parameters to a playback device.

A system includes a first structure that houses first cameras, where each camera is controllably moveable in synchronization with second cameras on a second structure and with third cameras on a third, overhead structure. The first, second, and third sets of cameras are controllably directed toward a specified entity. The second set of cameras are controllably moveable in synchronization with the first and third sets of cameras, and the third, overhead cameras are controllably moveable in synchronization with the first and second sets of cameras. The system also includes a controller configured to generate and send control signals to the first, second, and third sets of cameras to track the specified entity as the specified entity moves within a defined space that is observable by the first, second, and third sets of cameras in the first, second, and third structures. Various other apparatuses and devices are also disclosed.

An image / video capture apparatus is provided, to capture image data of a photovoltaic panel (101) and surroundings, and a controller (502) recognizes a category corresponding to the image data, and generates different instructions to control rotation of a photovoltaic tracker (102), to remove dust or snow accumulating on the photovoltaic panel (101). This does not need continuous heating, but is simple and efficient, saves electric energy, and resolves a technical problem that a conventional snow removal method of heating has low efficiency and wastes electric energy. In addition, a corresponding controller (1200) is further provided.

System and method for securely managing video captured by the IoT cameras. For example, one embodiment of a method comprises: generating a key pair comprising a private key and a public key; storing at least the private key on a data processing device of a user and storing only the public key on an internet of things (IoT) camera associated with an account of the user; in response to an event, the IoT camera to perform the operations of: generating a temporary data encryption key (DEK); encrypting video captured by the camera using the DEK to generated encrypted video blocks; encrypting the DEK using the public key to generate an encrypted DEK; and transmitting the encrypted video blocks and the encrypted DEK to a video storage service.

The present disclosure relates to a display method and a display system of video streams. The display method includes: obtaining a plurality of video streams associated with a plurality of video capture devices; determining a first plurality of video streams associated with a first escalator among the plurality of video streams; determining positions of a first plurality of video capture devices associated with the first plurality of video streams among the plurality of video capture devices over the first escalator; determining a first display order of the first plurality of video streams in a first plurality of display windows based on the determined positions of the first plurality of video capture devices over the first escalator; and displaying the first plurality of video streams in the first plurality of display windows according to the first display order.

To provide an image processing method, an information processing apparatus, and a wearable terminal configured to determine images captured when a site worker is moving or images captured when the site worker is not moving, from among video images captured by a wearable terminal carried by the site worker.SOLUTION: An image processing method is executed by an information processing apparatus or a wearable terminal having a control unit. The control unit is configured to: extract an image from a video image captured by a wearable terminal carried by a site worker; detect a change region from regions in peripheral portions in the image; and determine whether the extracted image is an image captured when the site worker is moving or an image captured when the site worker is not moving, based on the change region.SELECTED DRAWING: Figure 1

A system may be configured to perform multi-stream bandwidth dispersal. In some aspects, the system may receive, via a communication network, a plurality of frame collections from a video capture device and one or more other video capture devices, and detect a congestion context based upon the plurality of frame collections. Further, the system may determine a schedule notification for the video capture device, the schedule notification providing instruction for transmitting a frame of a frame collection, and transmit, via the communication network, the schedule notification to the video capture device.

This invention relates to a method allowing collectors to submit a video proof of the condition of their collection cards to obtain remote certification by a competent third party of the condition of their filmed cards.The process mainly involves the following steps:E1—Recording by a user device of a video capturing the following steps performed by said user:E1.1—Presentation of the cardE1.2—Insertion into the protection deviceE1.3—Closure and sealing of the protection deviceE1.4—Presentation of the different sides of the sealed protection deviceE1.5—Presentation of the unique identifier of the protection deviceE2—Automatic transfer by said user device connected to a remote network of said video to a remote storage server accessible to the competent third party.

The application discloses a target tracking method, an electronic device and a computer readable storage medium. The method comprises: acquiring a video captured by a UAV during movement, wherein a plurality of video frames in the video contain a target object; performing target tracking on the plurality of video frames to obtain an initial trajectory of the target object, wherein the initial trajectory comprises initial positions of the target object in the plurality of video frames; determining a homographic transformation matrix between the plurality of video frames, wherein the homographic transformation matrix contains a mapping relationship between different video frames in the plurality of video frames; and transforming the initial trajectory based on the homographic transformation matrix to obtain a target trajectory of the target object relative to a preset object, wherein the position of the preset object remains unchanged. The application solves the technical problem of low accuracy in tracking a target object in the related art.

An object of a system according to an embodiment is to reduce the burden on a nursery teacher and effectively manage the safety and growth of a child.SOLUTION: A system includes a camera, an analysis unit, a generation unit, a distribution unit, an alert unit, and an analysis unit. The camera captures an image of the entire classroom. The analysis unit analyzes the video captured by the camera. The generation unit creates an address book or a daily childcare record based on the data analyzed by the analysis unit. The distribution unit distributes the address book or the daily childcare record created by the generation unit to the protector. The alert unit issues an alert based on the dangerous behavior detected by the analysis unit. The analysis unit analyzes the growth of each child based on the data collected by the analysis unit.SELECTED DRAWING: Figure 1

An information processing apparatus acquires a video captured by an imaging apparatus, acquires a plurality of sounds picked up by a plurality of sound pickup apparatuses in sync with capturing of the video, acquires state information regarding an attention state of a viewer to the video, and generates audio to be reproduced with the video by combining the plurality of sounds, wherein, in a case where the state information indicates that the viewer is having an overall view of the video, a plurality of sounds picked up by a plurality of sound pickup apparatuses set inside an area being watched by the viewer in the video are combined with an equal ratio, and sounds picked up by sound pickup apparatuses set outside the area are combined with a ratio that is reduced as the distance from the area to the sound pickup apparatuses increases.

A technique creates entries in a spatiotemporal data structure that describe objects and activities in videos captured by a plurality of cameras. For instance, each entry in the spatiotemporal data structure includes different kinds of embeddings associated with a particular video captured by a camera. Each entry is further associated with a particular pose in a three-dimensional map and a particular time. In some implementations, the different kinds of embeddings include text embeddings, audio embeddings, and action embeddings, all produced using a neural network (such as a multi-modal language model). Another technique interrogates the spatiotemporal data structure by: receiving a query; mapping the query into query embeddings using the neural network; finding a particular entry in the spatiotemporal data structure that matches the query embeddings; and retrieving information associated with the particular entry.

One variation of a method includes: during a video capture session for an animal, accessing a video feed captured at a mobile device of a user affiliated with the animal; characterizing quality of a frame of the video feed; and, in response to quality of the frame falling below a threshold quality, generating a prompt to modify a characteristic of video capture and serving the prompt to the mobile device; discarding frames of the video corresponding to quality issues to generate a filtered sequence of frames; assembling the filtered sequence of frames into a sequence of clips; predicting a condition exhibited by the animal based on body data extracted from the sequence of clips; populating a report, describing prediction of the condition, with a subset of clips, in the sequence of clips, correlated with diagnosis of the first condition; and transmitting the report to an animal health professional.