1427 results about "Video capture" patented technology

The invention discloses a digital human real-time interaction system and method. The interaction system comprises terminal equipment and a cloud server. The terminal device receives voice input by a user and transmits the voice to the cloud server. The cloud server comprises a video acquisition and processing module, an intelligent question and answer and voice generation module, an audio processing module and an image rendering module. A video capture and processing module captures original video data indicative of an object of a digital figure and generates successive image frames. The intelligent question and answer and voice generation module converts the voice into a text; performing semantic analysis on the text, understanding the intention of the user, and generating a corresponding reply text; the reply text is also converted into a reply voice. The audio processing module processes the reply voice and the continuous image frames to generate first video data. And the image rendering module fuses the first video data with the virtual background, and performs real-time processing on the fused video to generate a response video. And the terminal equipment outputs the response video.

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.

Disclosed herein are methods, devices, and systems for automatically detecting double parking violations. For example, one aspect of the disclosure concerns a method comprising determining a location of a road edge of a roadway from one or more video frames of a video captured by one or more video image sensors of an edge device; determining a layout of one or more lanes of the roadway, including a no-parking lane, based on the road edge; bounding the no-parking lane using a lane bounding polygon; bounding a vehicle detected from the one or more video frames using a vehicle bounding polygon; and detecting a potential double parking violation based in part on an overlap of at least part of the vehicle bounding polygon with at least part of the lane bounding polygon and a determination of whether the vehicle is static or moving.

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.

The invention discloses a conveyor belt deviation detection method and system, and relates to the technical field of conveyor detection.The method comprises the steps that a belt working video shot by a camera is obtained; detecting the number of carrier rollers in a preset area in the belt working video through an image recognition algorithm; if it is detected that the number of the carrier rollers is smaller than or equal to a preset number threshold value, early warning information is sent out; if it is detected that the number of the carrier rollers is larger than the preset number threshold value, the offset distance of the edge of the belt is calculated; if it is detected that the offset distance is larger than a preset distance threshold value and the offset duration is larger than a preset time threshold value, early warning information is sent out. According to the method, automatic detection and early warning of belt deviation are achieved through the camera video and image recognition technology, the detection efficiency is greatly improved, the workload of manual inspection is reduced, problems can be found more timely, and potential safety hazards are reduced.

Systems, video cameras, and methods for predictive adjustment of multi-camera surveillance video data capture based on graph maps are described. A plurality of networked video camera is deployed and represented in a graph map based on the video camera environment, with parent nodes corresponding to video cameras and child nodes corresponding to path intersections among the video cameras. When a video event is detected from video data for one of the video cameras, a video capture update message indicating a shared child node identifier is selectively sent to other video cameras to modify their video capture operations.

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.

A shooting method includes: during shooting, acquiring a plurality of first image frames in response to a first operation; displaying the plurality of first image frames and a first marker, showing a video capture region in the plurality of first image frames with the first marker, and taking the images of the video capture region in the plurality of first image frames as the images to be recorded in the shooting process.

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.

A video captured by a camera assembly of a household appliance includes a plurality of frames. Methods of analyzing the video may include calculating a plurality of median frames of the video, determining an area of one of the plurality of frames contains an object of interest, and isolating the determined area for analysis of the object of interest. Methods of analyzing the video may include identifying an object of interest in a minimum number of consecutive frames of the video, determining a motion vector of the object of interest based on the consecutive frames of the video, and comparing the motion vector with predetermined in and out vectors to determine whether the object of interest was added to or removed from the household appliance. Such methods may also include adding or removing the object of interest to or from a virtual inventory of the household appliance.

The invention relates to a construction site potential safety hazard checking method comprising the following steps: carrying out video capture on a construction site to obtain a construction video, and carrying out target identification on the construction video through a deep learning algorithm to obtain an identification target; paying attention to the recognition target through a preset attention mechanism to obtain an attention target object, and performing deep analysis on the attention target object to obtain an analysis result; performing environment monitoring on the construction site to obtain environment monitoring data, and performing environment trend prediction on the environment monitoring data through the trained prediction model to obtain a prediction result; performing comprehensive evaluation on the analysis result and the prediction result to obtain a comprehensive evaluation result, performing potential safety hazard judgment on the construction site based on the comprehensive evaluation result, and if no potential safety hazard exists, stopping potential safety hazard checking on the construction site; the potential safety hazard can be found and early warned more comprehensively, accurately and timely, and the probability of occurrence of safety accidents is reduced.

The invention discloses an electric energy meter abnormal phenomenon detection method and system based on image recognition. The method comprises the following steps: monitoring an electric energy meter in real time through a high-speed camera, preprocessing an image by using a multistage filtering and edge fusion algorithm, extracting texture, shape and color features through frequency domain transformation, an edge gradient direction histogram and a color histogram, and obtaining a feature image after multi-feature fusion; and comparing a feature image after multi-feature fusion with a template image feature, detecting abnormality by adopting a composite difference method and composite correlation analysis, performing comprehensive judgment by combining local and global detection, and triggering dynamic video capture abnormality. According to the invention, by fusing multi-scale edge information, the edge features of the image are enhanced, and subsequent feature extraction and anomaly detection are facilitated; a comprehensive feature image is formed by fusing various features, so that the accuracy and robustness of feature extraction are improved; the two detection results are combined through comprehensive judgment, so that the accuracy and reliability of the detection results are ensured.

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.

Provided are a robot control method and apparatus, and a storage medium. The robot control method includes: detecting whether a first scene image captured by a camera of a robot includes a foot; obtaining, in response to detecting the foot in multiple consecutive frames of first scene images, multiple frames of second scene images captured by the camera; and recognizing a foot posture based on the multiple frames of second scene images, and controlling the robot based on a control manner corresponding to the recognized foot posture. In a scene image captured by the camera mounted at the robot, when the foot is captured within a field of view, the foot posture is recognized using a video captured by the camera. Intelligent control of the robot is realized based on the recognized foot posture.

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.

Visual content captured by an image capture device may be stabilized. A target depicted within visual content of a video may be identified manually by a user or automatically by a computing device. Dolly zoom visual content may be generated by using a viewing window to crop the visual content. The size and / or the position of the viewing window within the visual content may change based on size and / or the position of the target within the visual content. The combination of video stabilization, target tracking, and cropping of the visual content may produce the dolly zoom effect. The dolly zoom effect may compensate for the movement of the image capture device and work on video captured by an image capture device without optical zoom.

A recording medium storing a program for causing a computer to execute processing including: acquiring a video data including frames each of which is associated with a time point and includes the video captured at the time point, by capturing a video at a site in which a person and an object exist; identifying a first relation by analyzing a first frame associated with a first time point, the first relation identifying an interaction between the object and the person in the first frame; identifying a second relation by analyzing a second frame associated with a second time point, the second relation identifying an interaction between the object and the person in the second frame; and specifying, based on the first and second relations, an action of the person on the object in a third frame associated with a third time point between the first and second time points.

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.

Techniques for unique label recognition and notification for streaming video. A video stream from a camera-equipped electronic device is received via the API endpoint of a stream processing service in a provider network. A request for unique label recognition and notification is received via an API endpoint of a computer vision service in the provider network. The computer vision service analyzes a video fragment of the video stream. If a unique label is recognized in the video fragment, then a notification service in the provider network sends a notification that the unique label was recognized in video captured by the camera-equipped electronic device.

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.