149 results about "Information capture" patented technology

The invention provides a business path tracking and fault tracing method and device for a video monitoring system, and relates to the technical field of video monitoring fault diagnos.The video monitoring system is divided into a plurality of layers, and multiple types of data acquisition probes are deployed at key nodes of each layer; when a user initiates a video request, generating a Trace ID to be spread along with a video streaming signaling, and reconstructing an end-to-end service path in combination with node information captured by a probe; associating and fusing the multi-dimensional performance data by taking the TraceID as a key, and establishing an end-to-end total delay decomposition and dynamic health baseline; and positioning a root cause node based on the weighted directed graph, the node anomaly confidence score and the fault propagation consistency, displaying a path, data and a traceability result through a visual interface, and generating a precise alarm. According to the method, service link visualization is realized, traditional equipment alarm is upgraded to service fault root cause positioning, the troubleshooting efficiency is improved, and the method is suitable for an isomerized large-scale video monitoring system.

The invention discloses a language-guided structure-aware network architecture and method for camouflage target detection, and relates to the technical field of camouflage target detection. According to the method, the text is guided to focus on a potential target, text semantic and visual features are fused through the CLIP model, the target mask is generated, the problems that a traditional model lacks semantic guidance and is difficult to focus on a camouflage area are solved, and background interference is greatly reduced; edge details can be accurately extracted, a Fourier edge enhancement module (FEEM) is combined with spatial domain edge enhancement and frequency domain high-frequency information capture, the problem of a fuzzy pain point of a camouflage target boundary is effectively solved, and the edge positioning precision is improved; structural and local dual optimization is proposed, a structural awareness attention module (SAAM) is fused with semantic and edge information, and a coarse guidance local refinement module (CGLRM) is designed through double branches of global guidance and local refinement, so that the regional consistency and structural integrity of a segmentation result are guaranteed, and local details are prevented from being lost.

The invention discloses a foundation pit early warning method based on multi-source monitoring data and dynamic evaluation, which relates to the technical field of foundation pit safety early warning and comprises the steps of S1, multi-element monitoring, S2, data processing and normalization, S3, dynamic safety level establishment, S4, dynamic weight and credibility calculation, S5, evidence fusion and safety level judgment and S6, dynamic risk evaluation and calibration. According to the method, all-dimensional data acquisition and high-quality data processing are formed through the steps S1 and S2, all-dimensional information capture of foundation pit engineering characteristics, geological conditions, surrounding environments and body states is achieved, data quality is guaranteed through data cleaning, normalization and validity verification, and the problems of monitoring data fragmentation and uneven quality are avoided; through the steps S3 and S5, a security level judgment system of dynamic probability allocation and multi-source evidence fusion is constructed, limitation of a static threshold method is prevented, and scientificity and accuracy of security level judgment are improved.

An environmental capture system (ECS) captures image data and depth information in a 360-degree scene. The captured image data and depth information can be used to generate a 360-degree scene. The ECS comprises a frame, a drive train mounted to the frame, and an image capture device coupled to the drive train to capture, while pointed in a first direction, a plurality of images at different exposures in a first field of view (FOV) of the 360-degree scene. The ECS further comprises a depth information capture device coupled to the drive train. The depth information capture device and the image capture device are rotated by the drive train about a first, substantially vertical, axis from the first direction to a second direction. The depth information capture device, while being rotated from the first direction to the second direction, captures depth information for a first portion of the 360-degree scene. The image capture device captures, while pointed in the second direction, a plurality of images at different exposures in a second FOV that overlaps the first FOV of the 360-degree scene. The depth information capture device and the image capture device are rotated by the drive train about the first axis from the second direction to a third direction. The depth information capture device, while being rotated from the second direction to the third direction, captures depth information for a second portion of the 360-degree scene. The image capture device, while pointed in the third direction, captures a plurality of images at different exposures in a third FOV that overlaps the second FOV of the 360-degree scene.

An environmental capture system (ECS) captures image data and depth information in a 360-degree scene. The captured image data and depth information can be used to generate a 360-degree scene. The ECS comprises a frame, a drive train mounted to the frame, and an image capture device coupled to the drive train to capture, while pointed in a first direction, a plurality of images at different exposures in a first field of view (FOV) of the 360-degree scene. The ECS further comprises a depth information capture device coupled to the drive train. The depth information capture device and the image capture device are rotated by the drive train about a first, substantially vertical, axis from the first direction to a second direction. The depth information capture device, while being rotated from the first direction to the second direction, captures depth information for a first portion of the 360-degree scene. The image capture device captures, while pointed in the second direction, a plurality of images at different exposures in a second FOV that overlaps the first FOV of the 360-degree scene. The depth information capture device and the image capture device are rotated by the drive train about the first axis from the second direction to a third direction. The depth information capture device, while being rotated from the second direction to the third direction, captures depth information for a second portion of the 360-degree scene. The image capture device, while pointed in the third direction, captures a plurality of images at different exposures in a third FOV that overlaps the second FOV of the 360-degree scene.

The technology disclosed includes systems and methods for preparing a segmented occupancy grid map based upon image information of an environment in which a robot moves. The image information is captured by at least one visual spectrum-capable camera and at least one depth measuring camera. The system includes logic to receive image information captured by at least one visual spectrum-capable camera and location information captured by at least one depth measuring camera located on a mobile platform. The system includes logic to extract from the image information, features in the environment. The system includes logic to determine a 3D point cloud of points having 3D information. The system includes logic to determine, from the 3D point cloud, an occupancy map of the environment. The system includes logic to segment the occupancy map into a segmented occupancy map of regions that represent rooms and corridors in the environment.

The invention discloses a target tracking early warning method and system based on radar photoelectric linkage and information fusion, and relates to the technical field of electric digital data processing, and the method comprises the steps: obtaining the information of a moving target, and obtaining a real-time azimuth angle and a distance sequence; obtaining an absolute difference value between adjacent distance data in the distance sequence, and obtaining a stability index; generating a correction value, obtaining a compensation azimuth angle range, obtaining a steering angle range of the photoelectric equipment, obtaining a compensation distance range, and obtaining optical zoom information of the photoelectric equipment; and driving photoelectric equipment to capture target contour features according to the steering angle range and the optical zoom information to lock a target, and calling a physical rule base to obtain a target classification and early warning strategy based on the moving target information obtained by the radar and the target contour features captured by the photoelectric equipment. The method has the advantages of dynamic self-adaption, high resource utilization rate and cooperative closed loop.

Methods, systems, mobile devices, and non-transitory computer-readable mediums for determining a scale of an object with a mobile device. The mobile device includes at least one object-facing camera (e.g., a monocular camera) and an away-facing stereo camera system. Information captured using the away-facing stereo camera system is used to estimate relative pose information for determining the scale of the object in images captured by the object-facing camera. The proposed system leverages the scene images surrounding the mobile device to resolve scale ambiguity and calculate the absolute scale.

The present invention discloses a motion vision-based multimodal authentication system and a method thereof. The system comprises several components, including an information-capturing module, an AI module, a memory unit, a processor unit, and a temporal authentication module. The system captures information data from the user and the user's surroundings, categorize the data into identity and predetermined categories, generates login credentials or authorization keys, and matches the real-time information data for user authorization.

The present application relates to the field of dam inspection, especially to a kind of image processing method and system for dam inspection, the present application is by controlling unmanned aerial vehicle to fly over detection area according to predetermined trajectory, when unmanned aerial vehicle is pre-entered detection area, continuously obtain image information and carry out multidimensional analysis, based on the result of multidimensional analysis and mirror surface reflection index, calculate to obtain spectral characteristic interference representation value, set interference label for detection area, subsequent interference label based on the control of unmanned aerial vehicle in detection area adaptively obtains spectral information in monitoring area, subsequent generation perspective adjustment instruction, by sampling determination selection confidence sampling position obtains spectral information, the present application is by image information in advance sensing interference situation of spectral information extraction in detection area, adaptively select spectral information capture mode, under the premise of guaranteeing inspection efficiency, improve the quality and reliability of the obtained spectral information, provide effective data support for subsequent analysis dam potential anomaly.

The invention provides an interactive narrative method and device based on artificial intelligence, and a storage medium. The method comprises the following steps: receiving input information from a user; capturing a current user interaction event according to the input information; determining a transfer condition set corresponding to the current plot state based on a finite plot state machine; determining a state transition condition satisfied by the current user interaction event from a transition condition set, and transitioning from the current plot state to a target plot state corresponding to the state transition condition; and executing the plot logic corresponding to the target plot state to present the plot content to the user. Therefore, the narrative process is constrained in the structured narrative graph defined by the finite plot state machine, thereby realizing effective guidance and control of the narrative macroscopic trend while maintaining the interactive openness, ensuring the continuity and logicality of the narrative, and improving the success rate of the narrative process. The problems of uncontrollable plot development and poor logic reliability in the interactive narrative process in related technologies are effectively solved.

The patent application provides a complex environment three-dimensional scene reconstruction method based on a multi-view neural network, and the method mainly comprises two steps: scene information capturing: obtaining scene data from a plurality of views through a high-resolution camera, and ensuring that all details of a complex scene are covered; the captured image is standardized, including color correction and noise removal, to ensure image quality and consistency. And three-dimensional model reconstruction: performing three-dimensional reconstruction on the acquired scene data by using a neural network. Firstly, light sampling is performed on a scene through camera parameters and pose information, and an occupancy grid is created to optimize the sampling efficiency. Thirdly, decomposing the sampling data into feature vectors and inputting the feature vectors into a neural network which is divided into a density network and a color network and is used for generating volume density and color information of the scene; and finally, obtaining a three-dimensional scene model through a volume rendering technology. The method has the advantage that a high-precision three-dimensional model can be quickly generated in a complex environment through an efficient sampling and data processing technology.

A mount security detection method for an in-vehicle information capture device having at least one acceleration sensor to gather acceleration data, and comparing a sample of the acceleration data for

According to one embodiment, a method, computer system, and computer program product for privacy-enhanced, biometrics-based authentication is provided. The embodiment may include capturing credential information on a credential medium and biometric information for a user, each provided by the user, by one or more information capture devices. The embodiment may also include identifying a hash stored on the credential medium based on the captured credential information. The embodiment may further include calculating, locally, a hash of the biometric information using a preconfigured hashing algorithm. The embodiment may also include, in response to the identified hash matching the calculated hash, authenticating the user.

The invention provides an insulator defect detection method and device, and belongs to the field of image recognition. The method comprises the following steps: acquiring a to-be-detected image of a target insulator; inputting the to-be-detected image into a pre-trained detection model; wherein the pre-trained detection model comprises an input end, a backbone network, a neck network and a prediction network; the backbone network comprises a multi-scale channel information extraction module and a global-local attention module; the input end is used for inputting a to-be-detected image into the backbone network, and the backbone network is used for extracting feature information of the to-be-detected image to obtain a feature map; the neck network is used for fusing the feature maps to obtain a fused feature map; the prediction network is used for performing prediction based on the fused feature map to obtain a predicted image; and determining a detection result of the target insulator based on the prediction image. The feature information capturing capability and the detection precision of the insulator defect detection method based on the YOLO series algorithm can be improved.

The invention discloses a camera module and intelligent electronic equipment. Wherein the camera module comprises a first air bag and a camera module, the first air bag can be fixed to the head-mounted device, the first air bag is provided with a first side wall, the wall thickness of the first side wall is gradually reduced in the first direction, and the first air bag has an initial state and an inflation state; the camera module is arranged on the first side wall and is used for acquiring image information and transmitting the image information to the head-mounted device; when the first air bag is switched between the initial state and the inflation state, the angle of the camera module relative to the head-mounted device can be adjusted. When the camera module provided by the invention is applied to the head-mounted device, the camera module has a larger visual range and image information capturing accuracy.

This invention discloses a target tracking and early warning method and system based on radar-optical-electric linkage and information fusion, belonging to the field of electronic digital data processing technology. The method includes: acquiring moving target information, acquiring real-time azimuth angle and range sequence; acquiring the absolute difference between adjacent distance data in the range sequence, acquiring stability indicators; generating correction values, acquiring the compensation azimuth angle range, acquiring the turning angle range of the optoelectronic device, acquiring the compensation distance range, acquiring the optical zoom information of the optoelectronic device; driving the optoelectronic device to capture target contour features and lock the target according to the said turning angle range and the said optical zoom information; and based on the moving target information acquired by radar and the target contour features captured by the optoelectronic device, calling a physical rule base to obtain target classification and early warning strategies. This invention has the advantages of dynamic adaptation, high resource utilization, and collaborative closed loop.

The invention provides a lane line marking data fusion and splicing method, a medium, equipment and a program product, and belongs to the technical field of intelligent traffic, the method comprises the following steps: obtaining road image data information shot by a multi-view vehicle-mounted camera in real time, and marking a road lane line; converting the point coordinate of each lane line to a laser radar coordinate system; sequentially calculating the intersection point of the line or the extension line of the line on the X axis and the forward intersection angle of the line or the extension line of the line and the X axis for each lane line; a sliding window algorithm is adopted to carry out lane matching on double yellow lines, and then lane matching is carried out on other single lane lines; combining the close line segments of the two lines in the matching combination through a close point fusion algorithm; and combining the two line segments in each matching combination into one line segment. According to the method, the matching precision and efficiency of the lane lines among the multiple projections of the radar system can be effectively improved, the precision and robustness of the multi-view lane line fusion technology are improved, and the burden of technicians is greatly reduced.

Cleaning robots, comprehensive: a communication interface; at least one sensor; at least one camera (120); a drive unit; and a processor (140) that is configured: to input an image taken by at least one camera into a trained artificial intelligence model in order to obtain information about an object contained in the captured image: to obtain information that is captured by at least one sensor; To obtain recognition information about each of several work surfaces in a home based on information about the object, wherein the recognition information about each of the several work surfaces includes type information about each of the several work surfaces; to generate a map that displays the multiple work areas, using the information obtained about the object, the captured information, and the recognition information for each of the multiple work areas; based on a user voice instructing a cleaning operation to control the drive unit to move to at least one of the multiple work surfaces; and based on moving to the at least one work surface, a cleaning operation for the at least one work surface is to be carried out, where the recognition information for each of the multiple work surfaces includes a name for each of the multiple work surfaces.

The invention discloses an intelligent sorting system and method for renewable resource categories, and relates to the technical field of renewable resource sorting. The system comprises a material feeding module, a material screening module, a material vibration feeding module, a material information capturing module, an LIBS detection module and a material discharging separation module which are connected in sequence. According to the system, materials of different sizes and specifications are processed through the screening module, high-speed stable feeding of more than 100 blocks per minute is achieved through the vibration feeding module, excitation points are accurately positioned through the information capturing module, component analysis is conducted through the LIBS detection module by means of the laser-induced breakdown spectroscopy technology and the machine learning algorithm, and finally accurate separation is achieved through the discharging module. The problems that traditional manual sorting is low in efficiency and poor in accuracy, and chemical elements cannot be visually identified are solved, and efficient and automatic sorting of renewable resources is achieved.

The invention provides a spatial light modulation method and system for Gray code coding rearrangement, and relates to the technical field of computational imaging and spatial light modulation. According to the method, a Gray code sequence and a high-performance basic modulation matrix are combined, a basic modulation matrix is constructed according to a target image resolution ratio and a sampling rate, a Gray code index sequence with only one different adjacent indexes is generated, a measurement matrix is obtained by rearranging the matrix through a mapping function, and the measurement matrix is loaded to a spatial light modulator to code a light signal; and the double-path detector collects transmitted and reflected light intensity response and performs differential processing, and inputs a compressed sensing reconstruction algorithm to restore an image. According to the invention, stable and efficient information capture at a low sampling rate is realized, the anti-interference capability and repeatability of the system are improved, the hardware compatibility is strong, the implementation cost is low, and the method is suitable for the fields of single-pixel imaging, three-dimensional measurement and the like.

A kind of nuclear power plant optimization control method based on adaptive multi-scale and dual-domain view feature, after data acquisition and preprocessing in offline stage to construct training set, neural network for training adaptive multi-scale embedding layer, dual-path sequence decomposition layer, dual-domain view feature learning layer and feature fusion layer, realize nuclear power plant operating parameter prediction in online stage through trained neural network.The present application realizes efficient and high-precision prediction of multi-parameter and multi-step by enhancing local information capture through multi-scale embedding, multi-kernel trend-seasonal decomposition modeling, variable and time series feature learning through dual-domain view, and error accumulation avoidance through direct prediction strategy, especially in the scene of nuclear power operation accident.

This invention provides an information processing device, a control method for the information processing device, and a program that can streamline the creation of record documents based on the details of surgeries performed by medical practitioners. [Solution] The information processing device 1 includes an image acquisition unit 31 that acquires medical image information captured during surgery or endoscopic examination, a medical information acquisition unit 32 that acquires audio information including findings spoken during surgery or endoscopic examination, and a record document creation unit 36 ​​that creates a record document based on the medical image information and audio information.

This utility model relates to the field of traffic monitoring technology and discloses a directional traffic public opinion information capture device, including a base. A support column is fixedly connected to the top of the base. A drive assembly is provided on the rear side of a fixed plate a. A rotating wheel is rotatably connected inside the fixed plate a. A belt is coupled inside the rotating wheel. A fixed connecting block is fixedly connected to the outside of the belt. A motor b is fixedly connected to the bottom of the support plate a. An information collection box is fixedly connected to the drive end of the motor b. In this utility model, when the motor a on the support plate is started, the output end of the motor a starts to rotate, and the rotating wheel below rotates accordingly. The belt is also driven by the rotating wheel, and the fixed connecting block on the belt moves up and down with the belt. The output end of the motor b electrically drives the information collection box and the entire camera assembly to rotate, realizing multi-height and multi-angle shooting effects and improving the comprehensiveness and clarity of the equipment's shooting.

To improve the accuracy of a motion search. An information processing device comprising: a capture unit that captures initial information representing a feature of an object in a virtual space; and a search unit that, based on secondary information representing a feature of an acting subject performing a movement and storing this information in association with corresponding movement information, as well as the initial information captured by the capture unit, searches from a multitude of movement information elements for that movement information which specifies a movement to be applied to the object.

The system according to this embodiment aims to enable smooth communication among people who do not understand foreign languages ​​or sign language. [Solution] The system according to the embodiment comprises a capture unit, an analysis unit, a translation unit, a display unit, and an audio output unit. The capture unit captures information. The analysis unit analyzes the information captured by the capture unit. The translation unit translates the information analyzed by the analysis unit. The display unit displays the information translated by the translation unit. The audio output unit outputs the audio translated by the translation unit.

In a machining device in which a first control axis is included in a first channel and a second control axis is included in a second channel, this numerical control device comprises: a relationship information acquisition unit that acquires relationship information indicating a dependency relationship between the first control axis and the second control axis; a state information acquisition unit that acquires state information indicating the state of the machining device; a compensation information acquisition unit that acquires first compensation information indicating a compensation amount for the position of the first control axis, based on the state information acquired by the state information acquisition unit;a compensation information calculation unit that calculates second compensation information, specifying a compensation amount for the position of the second control axis, based on the relationship information captured by the relationship information capture unit and the first compensation information captured by the compensation information capture unit; and a compensation unit that compensates the position of the second control axis based on the second compensation information calculated by the compensation information calculation unit.

This application discloses a control method, computer device, storage medium, and program product for household appliances. The control method includes: acquiring visual feature information captured by a camera and acquiring wireless feature information captured by a wireless communication module; wherein the visual feature information includes an RGB image of at least one household appliance, and the wireless feature information includes the signal strength of a radio signal transmitted by at least one household appliance received by a wearable device; determining a matching target household appliance based on the visual feature information and the wireless feature information; and sending a control command to the target household appliance. Through this method, precise control of household appliances can be achieved.

The application discloses a kind of based on image recognition's foundation pit anchor rod unmanned drilling construction system, including projection device and drilling machine: projection device can the working position information of the drilling machine and the position information of anchor rod hole are respectively made into projection point, and project to the corresponding position on foundation pit;Drilling machine is provided with camera module and the control system with image recognition function, camera module is used to capture the image in foundation pit, and the information captured is passed to control system, control system can according to the image of captured foundation pit, identify the projection point in image and the information carried by each projection point, and based on the information identified the position and working state of the drilling machine are controlled adjustment.The application realizes the intelligent construction of foundation pit support engineering, unmanned drilling construction in construction site, reduces the risk of foundation pit support engineering.Because the present application can 24 hours uninterrupted construction, greatly reduce the construction period and manpower of anchor rod in foundation pit support engineering.

The application provides a spatial light modulation method and system of Gray code coding rearrangement, and relates to the technical field of computational imaging and spatial light modulation. The method combines a Gray code sequence and a high-performance basic modulation matrix, a basic modulation matrix is constructed according to a target image resolution and a sampling rate, a Gray code index sequence with only one different adjacent index is generated, a measurement matrix is obtained through a mapping function rearrangement matrix, the measurement matrix is loaded to a spatial light modulator to code light signals, a double-channel detector collects transmission and reflection light intensity responses and performs differential processing, and a compressed sensing reconstruction algorithm is input to recover an image. The application realizes stable and efficient information capture at a low sampling rate, improves the anti-interference ability and repeatability of the system, has strong hardware compatibility, low implementation cost, and is suitable for the fields of single-pixel imaging, three-dimensional measurement and the like.