706 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.

A computer-implemented method for optimizing for virtual content occlusion in mixed reality may include (i) receiving a frame of a passthrough video captured by a sensor of a mixed-reality display, (ii) detecting at least one region of the frame of the passthrough video that is occluded by a virtual object projected within the mixed-reality display, (iii) creating a modified version of the frame of the passthrough video without the region that is occluded by the virtual object, (iv) providing the modified version of the frame to at least one visual analysis algorithm that calculates at least one statistic based on the modified version of the frame, (v) adjusting the frame by at least one visual adjustment algorithm based at least in part on the at least one statistic, and (vi) displaying the adjusted frame on the mixed-reality display. Various other methods, systems, and computer-readable media are also disclosed.

Embodiments are disclosed for real-time event detection using edge and cloud AI. An event monitoring system can receive live video data from one or more video capture devices at a surveillance location. A first machine learning model identifies a first portion of the live video data as depicting an event. The first portion of the live video data is provided to a second machine learning model. The second machine learning model identifies the first portion of the live video data as depicting the event. An event notification corresponding to the event is then sent to a user device.

The invention relates to the technical field of electric power circuit detection, in particular to an electric power circuit detection method which comprises the following steps: step 1, performing safety level evaluation on an electric power circuit according to a galloping diagram and an atrocious weather distribution diagram of an area where the circuit is located, and making a detection scheme of the electric power circuit according to a safety level evaluation result; 2, carrying out on-site investigation, and formulating a detection process on site; 3, carrying the detection equipment to the height of the electric power circuit by a maintainer according to the detection process, and then mounting the detection equipment on the electric power circuit; 4, starting the detection equipment, enabling the detection equipment to advance along the power line, and shooting the power line; and step 5, integrating and evaluating videos shot by the detection equipment to judge whether the power line needs to be replaced or maintained or not, so that the operation stability of the power line is improved, stable power supply is ensured, and property loss is reduced.

Systems and methods are provided herein for only including portions of a user's environment that have been approved by a user in a video conference while excluding portions that have not been approved. This may be accomplished by a device receiving a policy identifying one or more approved objects of a scene of a video stream. The device may then generate a filtered video stream by only including portions of the scene that comprise the one or more objects that were approved by the policy in the filtered video stream. The filtered video stream may be combined with other video streams to generate a video conference that is transmitted and / or stored by one or more devices participating in the video conference.

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 present invention provides a method and system for analyzing crowd gatherings, wherein the analysis method includes the following steps: setting up video capture terminal groups at multiple different locations to capture video images and thermal images of corresponding locations; receiving the video images captured by the cameras and analyzing the video images to obtain first analysis data; receiving the thermal images captured by the thermal image collector and analyzing the thermal images to obtain second analysis data; calculating crowd density based on the first and second analysis data, and issuing an alarm signal if the crowd density exceeds a preset crowd gathering density threshold; receiving the alarm signal and issuing an alarm. The crowd gathering analysis method of the present invention can monitor crowd gatherings at corresponding locations and promptly notify users or relevant personnel when excessive crowds occur.

Systems, video cameras, and methods for predictive adjustment of multi-camera surveillance video data capture are described. A plurality of networked video camera is deployed with known spatial relationships and non-overlapping fields of view among cameras. When a video event is detected from video data for one of the video cameras, a video capture update message is selectively sent to other video cameras to modify their video capture operations. For example, an object detected by one camera may trigger adjustment of video capture operating parameters for cameras in a direction of travel of the object before it has entered the field of view of those other cameras.

Provided is a method for heat diffusion test of a completed new energy vehicle. 【Solution means】 The method of the present invention includes the steps of: performing initial modification on the battery system, triggering the battery pack to generate thermal runaway, and monitoring the state change of the battery system; performing video capture on the vehicle after thermal runaway by a video capture device, and monitoring the presence or absence and corresponding time of smoke emission, ignition, and explosion inside and outside the vehicle passenger compartment and the battery; collecting the surface temperature data of the contact objects in the passenger compartment, the gas concentration data of the high-temperature exhaust smoke in the passenger compartment, and the temperature data of the high-temperature exhaust smoke, and comparing the surface temperature data, gas concentration data, and temperature data of the high-temperature exhaust smoke of the contact objects in the passenger compartment with the corresponding safety standards, and evaluating the heat diffusion ability of the completed vehicle of the vehicle from the comparison results. The present invention provides a basis and guidance for actual product testing, and improves the safety and reliability of the verified product.

A video capturing system includes: a storage medium to store a plurality of image information sets corresponding to a plurality of reference images, respectively; and a video processing device to selectively control video capture and at least one other operation associated with video capture according to a privacy level selected from a privacy mode, wherein the video processing device includes a face detector to sense a face image from the captured video, and a privacy level controller to select one of a plurality of privacy levels according to an image information set matched with the face image sensed from the plurality of image information sets.

The utility model relates to an optical experiment device based on an interference principle, and belongs to the technical field of optical detection. Comprising a computer and a base, and the base is arranged on one side of the computer; a camera bracket, a sample placing bracket and a light source mechanism are sequentially arranged on the base, and are positioned on the same horizontal line; a camera is arranged on the camera bracket; the sample placing support and the camera are electrically connected with the computer, and the computer is used for storing and recognizing optical interference videos shot by the camera and controlling the sample placing support to ascend / descend. The device not only can be used for automatically measuring small diameters, thicknesses or curvature radiuses of plano-convex lenses in industrial production and reducing reading errors, but also can be applied to teaching of experimental principles of light interference, and is wide in application range.

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 roadside apparatus acquires a time distance from an automated driving vehicle approaching the roadside apparatus to the roadside apparatus when a pedestrian heading toward a roadway has been detected from a video captured by the imager, and notifies the automated driving vehicle of first information indicating presence of the pedestrian and / or notifies the pedestrian of second information indicating a restriction on crossing the roadway, via the notification interface, in a case in which the acquired time distance is less than a threshold determined according to an external environment.

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

The invention discloses an intelligent management system for sports basketball training risk data, which relates to the technical field of sports data analysis and comprises an acquisition module for generating three-dimensional tracks of athletes, an identification module for identifying risk actions, an analysis module for analyzing kinematic characteristics of the risk actions and a feedback module. According to the invention, data acquisition is carried out through multi-view video capture and a three-dimensional reconstruction technology, through real-time analysis of features such as postures and joint angles of athletes, the system can provide customized action suggestions for each athlete, the training quality is effectively improved, iterative updating of a deep learning model is carried out according to an evaluation result of a feedback module, and the training efficiency is improved. Along with the promotion of the training process, the recognition precision and risk judgment capability of the system are continuously improved, and more accurate risk action recognition is ensured.

A storage system and method for storage management in multi-channel, variable-bit-rate systems are provided. In one embodiment, a host is provided comprising a first interface configured for communication with a storage system; a second interface configured for communication with a video capture device; and a processor. The processor is configured to receive an internal latency estimate from the storage system; use the internal latency estimate from the storage system to determine whether a rate of data generation by the video capture device exceeds a storage rate of the storage system; and in response to determining that the rate of data generation by the video capture device exceeds the storage rate of the storage system, instruct the video capture device to lower its rate of data generation. Other embodiments are provided.

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.

An information processing device includes: a video obtainer configured to obtain two or more videos captured by and transmitted from each of two or more mobile terminals associated with an attribute value set including one or more environment information which includes a positional information for identifying a capturing position or a time information for identifying a capturing time; a video generator configured to generate a combined video by combining the two or more videos associated with different time information from each other in a time series manner or a merged video by merging a part of the two or more videos associated with different positional information from each other in a spatial manner among the two or more videos obtained by the video obtainer; and a video transmitter configured to transmit the combined video or the merged video generated by the video generator.

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.

The invention discloses a counterfeit video detection method and system based on selective multi-scale space-time fusion module capture, and is suitable for the field of video counterfeit detection. In view of the problem of long-time memory loss of a forged video and the problem that the difference between adjacent frames is difficult to perceive due to the fact that the forged video is always subjected to smooth frame-by-frame processing in practical application, local time information of different scales and difference information between two adjacent frames are respectively captured by constructing a double-branch time network; and therefore, the capturing capability of the model on subtle differences in forged video samples is enhanced. In combination with a space inconsistency module and an information supplement module architecture, the method realizes video space-time multi-scale fine-grained modeling, and realizes space-time information interaction. According to the method, the problem that in the prior art, only a single time feature or a single space feature is depended on is solved, the defect that the generalization ability of a model is insufficient is overcome, and the accuracy and robustness of forged video detection are improved.

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.