899 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.

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.

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.

A method for wireless capture of real-time audio and video at a live event using a mobile computing device includes receiving a data representation of a live audio signal corresponding to the live event via a wireless network. The method also includes processing the data representation of the live audio signal into a live audio stream. The method also includes initiating a video capture corresponding to the live event. The method also includes producing, concurrent with the video capture, a shareable video corresponding to the live event based on the captured video and the live audio stream.

In one embodiment, a method includes synchronizing, by a camera device, a clock of the camera device to a shared clock time and applying, by the camera device, one or more shared camera parameters to a camera of the camera device. The method further includes determining, by the camera device, a position of the camera device relative to at least one of one or more peer camera devices capturing video of a scene in an environment of the camera device; capturing, by the camera of the camera device, a video of the scene in the environment of the camera device; and transmitting, by the camera device, the captured video of the scene to at least one of the one or more peer camera devices to form a composite video of the scene.

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 discloses a virtual-real fusion chemical experiment platform for real-time feedback based on multi-modal perception, and the platform comprises a video capturing module which carries out the video collection of a student experiment process, and captures the operation process of a student using an experiment apparatus; the target detection module is used for detecting various experimental apparatuses and chemical reagents involved in the chemical experiment process in real time; the HOI detection module is used for identifying an interaction behavior between the student and the experiment equipment in an experiment process and judging whether the interaction behavior is aligned with a key point in a preset experiment step or not; the feedback module is used for judging the correctness of the operation in the experiment process of the student according to the detection results of the target detection and the HOI detection, and carrying out feedback prompt in real time for wrong operation; through the video capture module, video acquisition can be carried out on the experiment process when a student independently carries out chemical experiment operation, and according to key nodes in set experiment steps, results of the target detection module and the HOI detection module are compared with those of the nodes to judge whether the operation of the student is correct or not.

In the endoscopic examination support apparatus, the video acquisition means acquires an endoscopic video captured by an endoscope. The lesion detection means detects a lesion candidate from the endoscopic video. The heat map generation means generates a heat map which represents a lesion possibility of the lesion candidate included in the endoscopic video by a color. The display control means superimposes and displays an area where the lesion possibility is equal to or higher than a first threshold on the endoscopic video in a first display mode, and superimposes and displays an area where the lesion possibility is equal to or higher than a second threshold on the endoscopic video in a second display mode.

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.

An electronic device according to an embodiment of the present disclosure comprises: a communication unit comprising communication circuitry, a sensor unit comprising a sensor, a camera unit including a front camera and a rear camera, a processor, comprising processing circuitry, and a memory operatively connected to the processor. The memory can store instructions, wherein at least one processor, individually and / or collectively, is configured to execute the instructions and to cause the electronic device to: connect the electronic device to an external electronic device; while operating a first application including a photo and video capture function related to the camera unit, detect movement of the electronic device using the sensor unit; in response to the electronic device not moving for more than a specified period of time, obtain a direction of the external electronic device using the communication unit; determine setting information of a second application based on the direction of the external electronic device; and transmit the determined setting information of the second application to the external electronic device.

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.

A fixed object detector includes: a capturing device; a fixed-object area information obtainer (a dirt area information obtainer) that searches for a fixed object candidate that is a candidate for a fixed object appearing in a video captured by the capturing device, and obtains a fixed-object area information item indicating coordinates of the fixed object candidate in the video, the fixed object having a fixed relative position with respect to the capturing device; a storage that stores therein the fixed-object area information item obtained; and an observer that determines that the coordinates indicated by the fixed-object area information item to be coordinates of the fixed object in the video and outputs a determination result, the coordinates indicated by the fixed-object area information item matching coordinates indicated by a past fixed-object area information item stored in the storage in past.

A helmet apparatus for displaying a surrounding environment to a user includes a shell with cameras mounted to the shell. The cameras view respectively forwardly, rearwardly, and laterally from the shell, and a display is provided which shows images and video captured by the cameras on a visor also mounted to the shell.

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.

An image processing apparatus includes a video obtainer that obtains a video captured with a camera, a human detector that performs human detection with the obtained video, a moving object detector that performs moving object detection with the obtained video, a human candidate identifier that identifies, as an image of a human candidate area, an image of an area detected through human detection by the human detector based on a degree of matching between the image of the area detected through human detection by the human detector and an image of an area detected through moving object detection by the moving object detector, and a determiner that determines whether the identified image of the human candidate area is an image of a human based on a degree of matching between the image of the human candidate area and a reference image of an object erroneously detected as a human.

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.

The invention discloses a dribbling evaluation method, a related device, equipment and a storage medium. The method comprises the following steps: acquiring a target video shot when an examination object uses a target sphere to carry out dribbling examination in an examination site; detecting at least based on a current image in the target video to obtain a first position of the assessment object in the assessment site and a second position of the target sphere; obtaining a first motion track of the assessment object based on the first positions of the multiple frames of images in the target video, and obtaining a second motion track of the target sphere based on the second positions of the multiple frames of images in the target video; and obtaining a dribbling evaluation result of the assessment object based on the first movement track and / or the second movement track. According to the scheme, the accuracy of carrying out automatic evaluation on dribbling assessment can be improved.

Video is obtained in a video conference session that includes one or more participants in a video conference room, wherein the video conference room includes a video display and a one video camera, and wherein a participant is remote with respect to the video conference room. During the video conference session, it is determined that video captured by the camera in the video conference room includes a face of a person not physically present in the video conference room and which face is displayed on the video display. Video of each participant in the video conference room is assigned to a respective video layout window except for video of the face of the person not physically present in the video conference room that is displayed on the video display.

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.