32 results about "Surveillance data" patented technology

A surveillance system of multiple video / audio source is provided, which includes a first surveillance device, a second surveillance device, a network video interface conversion device, and a user device. The first surveillance device acquires first surveillance data, and the second surveillance device acquires second surveillance data. The network video interface conversion device is connected to the first surveillance device and the second surveillance device, and sets the universally unique identifiers (UUIDs) and ports of the surveillance devices via a conversion protocol compliant with the open network video interface forum (ONVIF). The user device is connected to the network video interface conversion device, and the first and second surveillance devices are defined as independent network surveillance devices.

Systems and methods for generating a large volume of synthetic stream-of-commerce security imaging data is disclosed. Methods for creating synthetic baggage x-ray scans, synthetic passenger millimeter wave scans, synthetic passenger video surveillance data, and introducing prohibited items to real security images are also disclosed.

This application discloses a method, apparatus, electronic device, and medium for acquiring surveillance data. The method includes: if it is detected that a user has opened a target application on a terminal, then identifying the camera added to the target application; for the camera added to the target application, acquiring a first target camera that triggers an alarm event within a preset time period via a cloud server, and / or, selecting a second target camera from the cameras based on the user's historical viewing information of the camera's surveillance footage; and acquiring and pre-storing a data stream of the latest preset data volume from the target camera. This solution can predict the target camera that the user is likely to view based on alarm events and / or the user's historical viewing information of the camera, thereby pre-storing the target camera's data stream. When the user selects to view the camera's surveillance footage, it can respond quickly, improving the real-time performance of the surveillance footage and enhancing the user experience.

A method for data retention comprises obtaining, from a first retention system having a first retention policy associated therewith, surveillance data generated by surveillance of a location where a surveillance system is deployed, identifying a level of interest in the surveillance data, and, in response to identifying, based on the level of interest, that at least part of the surveillance data is of interest, causing the at least part of the surveillance data to be stored in a second retention system, the second retention system having associated therewith a second retention policy different from the first retention policy.

The invention relates to the technical field of fire safety, and discloses an intelligent recommendation method and system for a fire escape route, and the method comprises the steps: integrating a building information model, real-time sensor network data and video monitoring data, and constructing a virtual digital twin environment which is synchronously updated with a physical fire scene; preprocessing the multi-source signal; based on the preprocessed multi-source signal, identifying an open fire position, smoke concentration distribution and personnel aggregation through a convolutional neural network, and generating a real-time and multi-dimensional environment risk map and a personnel distribution map; parallel deduction is carried out in a digital twin environment, an escape route is planned by adopting an A * algorithm, and an optimal personalized escape route is obtained; the change of the environment and the personnel state is continuously monitored, and when a new congestion occurs, an escape route is dynamically planned and pushed in real time; according to the invention, the safety and efficiency of personnel evacuation in a fire scene are improved.

The utility model discloses an intelligent ear tag device used for livestock raising monitoring data, through an RFID unit, each animal obtains a unique identity label, individual tracking and management are facilitated, a positioning module tracks animal positions in real time and optimizes pasture layout and grazing strategies, a temperature sensing module continuously monitors body temperature, and the intelligent ear tag device is used for monitoring livestock raising data. Key data are provided for early warning of diseases, the physiological parameter sensing module monitors health conditions in real time and assists culturists in discovering and processing health problems in time, the main control unit summarizes data of all sensors and sends the data to the upper computer through the communication module, remote monitoring is achieved, the management efficiency is greatly improved, and the management cost is reduced. According to the device, the accuracy and the real-time performance of animal husbandry management are enhanced, the animal health monitoring capability and the data collection and transmission efficiency are also remarkably improved, and a solid foundation is laid for intelligent management of animal husbandry.

This application provides a video surveillance data processing method, apparatus, device, storage medium, and product, comprising: receiving multi-source data of a target area sent by a data acquisition terminal via a 5G network, wherein the multi-source data includes video data, image data, and sensor data; preprocessing the video data and image data to obtain video image data; inputting the video image data into a pre-trained AI visual analysis model to identify objects in the target area and detect the motion trajectory and behavior patterns of the objects to obtain security early warning response data; performing fusion decision based on sensor data and video image data to obtain sensor data fusion decision results; and generating an alarm and triggering emergency response measures in the target area based on the security early warning response data and sensor data fusion decision results. This method aims to improve the efficiency of video data processing.

Systems and methods for surveillance of a facility including facility elements. The system includes a central computing unit providing a digital model of the facility providing topological or logical or functional relationships of the facility elements, surveillance sensors adapted for surveillance of a plurality of the facility elements and for generation of surveillance data, communication means for transmitting data from the surveillance sensors to the central computing unit, and state derivation means configured to analyse the surveillance data and derive a state of a respective facility element. The central computing unit is configured to record a state pattern by combining states of at least one facility element based on at least one relationship of the facility element provided by the facility model, provide a state pattern critical-noncritical classification model which considers relationships provided by the facility model, and perform a criticality-classification based on the relationship.

This invention belongs to the field of aviation flight simulation training technology, and relates to an intelligent air-ground collaborative training and debriefing system and method for flight and air traffic control, solving the problem that existing systems cannot meet the demands of modern joint aviation training for realism, standardization, and precision. The air-ground linkage subsystem of this invention establishes a two-way voice communication link based on SIP and RTP protocols, and realizes real-time broadcasting and distribution of radar surveillance data using the UDPTLV protocol; the collaborative training subsystem issues training control commands and emergency commands through a TCP isolated channel, and achieves process synchronization and dual-end synchronous triggering of emergency commands based on a unified training state machine and a global clock; the intelligent debriefing subsystem uses a deep learning model to convert the voice stream into text, unifies the time alignment of multi-source data and automatically identifies training events, and completes multi-view playback and debriefing report generation based on a unified timeline. This invention improves the realism, collaboration, and automation of training.

This invention relates to an urban smart parking management system, method, device, and storage medium, comprising the following steps: collecting video surveillance data within a parking lot and identifying parking space occupancy in the video surveillance data to obtain parking space occupancy status information; mapping the parking space distribution based on the occupancy status information to obtain an electronic map of parking space distribution, and dividing the electronic map of parking space distribution into areas with location relationships; collecting vehicle entry and exit records of vehicles entering and exiting the parking lot through a license plate recognition device, and calculating the parking turnover rate of the parking areas based on the vehicle entry and exit records; analyzing the traffic status of the internal passages of the parking lot based on the location relationships of the parking areas and the parking turnover rate, and uploading the traffic status to the corresponding platform to guide vehicles by area, thereby solving the technical problem of uneven parking space utilization in many parking lots.

This invention provides a method and system for evaluating the effectiveness of river and lake construction, relating to the field of computer application technology. The method includes: Step 1, acquiring monitoring data of rivers and lakes, including satellite remote sensing data, UAV monitoring data, video surveillance data, and social network data; Step 2, based on the spatial distribution characteristics of the monitoring data, selecting hydrological monitoring stations, automatic water quality monitoring stations, and fixed shoreline markers in the rivers and lakes to construct a spatial coverage area, spatially partitioning the coverage area, optimizing the spatial geometric reference benchmark of each partition by performing circular geometric fitting on key monitoring points within each partition, and generating a spatial correction factor based on the optimized spatial distribution characteristics of each partition. This invention achieves a comprehensive, accurate, and all-encompassing evaluation of the effectiveness of river and lake construction.

This invention discloses a multi-camera monitoring data fusion and high-definition transmission system, relating to the fields of video surveillance and data transmission technology. It includes a multi-camera data acquisition module, a data preprocessing module, a data fusion module, an encoding and transmission module, and a receiving end processing module, all connected in sequence. A control and scheduling module is also bidirectionally connected to these modules. This invention solves the problems of low data fusion accuracy and poor high-definition transmission stability in existing multi-camera monitoring systems, providing a system capable of accurate multi-modal data fusion and stable high-definition data transmission in weak network environments, greatly improving the anomaly detection accuracy and real-time performance of the monitoring system.

The invention discloses a power system monitoring method and device, equipment and a storage medium. The method comprises the following steps: acquiring operation data of a power system, wherein the operation data comprises independent monitoring data acquired by an independent monitoring system and collaborative monitoring data acquired by a collaborative monitoring system; combining the independent monitoring data and the collaborative monitoring data to obtain full-amount monitoring data, wherein the full-amount monitoring data comprises full-amount state data, full-amount numerical data and full-amount planned value data; and performing state monitoring on the electric power system based on the full-amount state data, performing numerical value monitoring on the electric power system based on the full-amount numerical value data, and performing plan value monitoring on the electric power system based on the full-amount plan value data. According to the scheme, the monitoring data of independent monitoring and cooperative monitoring are uniformly fused, the full-amount monitoring view is constructed, multi-dimensional integrated monitoring of the state, the numerical value and the planned value is achieved, and the accuracy of abnormal recognition of the power system is improved.

This invention discloses an intelligent inspection system and method for distribution network defects and external damage prevention based on a drone platform. The system includes: a drone for collecting inspection images and video surveillance data; an edge computing box with a built-in proprietary intelligent recognition model and integrated AI inference algorithms for real-time edge analysis of inspection data; an automated drone nesting device for autonomous drone deployment and energy replenishment; a scheduling and control platform that constructs a multi-drone, multi-task collaborative scheduling model based on intelligent optimization algorithms to achieve unified drone management and emergency response; and a secure collaborative communication architecture, including a local area network collaborative control link and a 5G secure transmission link, employing domestic cryptographic technology for full-process encryption and featuring a network outage disaster recovery mechanism. Implementing this invention enables accurate identification of distribution network defects and proactive prevention of external damage risks, significantly improving inspection efficiency and automation levels, reducing operation and maintenance costs, and ensuring the safe and stable operation of the distribution network.

A surveillance satellite that has detected a significant high luminance generates launch sensing data indicating a launch time point corresponding to a detection time point, a launch coordinate value expressing a position at which the significant high luminance was detected, and a line-of-sight vector at the detection time point and containing surveillance data at the detection time point and transmits the launch sensing data. A communication satellite that passes through a point in a communication range with respect to the surveillance satellite to transmit the launch sensing data receives the launch sensing data and transmits the launch sensing data to remaining communication satellites via a satellite communication network.

The invention discloses an air route monitoring network testing and evaluating method and related equipment, and relates to the technical field of air route monitoring network testing, and the method comprises the steps: constructing a three-dimensional testing grid covering a low-altitude public air route; constructing an associated test environment based on the three-dimensional test grid; in a laboratory simulation environment and a typical city external field environment, a test target is controlled to carry out simulated flight or actual flight along an air route covered by the three-dimensional test grid, and truth value data provided by a corresponding truth value system and monitoring data output by an air route monitoring network are synchronously collected; and performing time and space alignment on the acquired truth value data and the monitoring data, calculating a performance index, and then evaluating the performance of the air route monitoring network in the urban complex low-altitude environment where the low-altitude public air route is located. According to the method, the performance weakness of the public route monitoring network can be accurately identified, and solid data support and decision basis can be provided for planning and construction, technical optimization, operation management and standard formulation of the low-altitude public route monitoring network.

A video feed including a plurality of consecutive frames may be captured. A text-based description is generated for each of the plurality of consecutive video frames using an Artificial Intelligence (AI) based Video-to-Language Model (VLM). The text-based description describes one or more of an object, an activity and / or a scene captured in the respective video frame of the plurality of consecutive video frames. Some of the plurality of consecutive video frames of the video feed are selected to be reference video frames based at least in part on the text-based descriptions. The text-based descriptions are stored to the video surveillance data repository. The reference video frames are stored to the video surveillance data repository while those video frames of the plurality of consecutive video frames that are not selected as reference video frames are not stored.

A video feed comprising a plurality of consecutive frames may be captured. A text-based description is generated for each of a plurality of consecutive video frames using an artificial intelligence (AI)-based video-to-language model (VLM). The text-based description describes one or more of an object, an activity, and / or a scene captured in a respective one of the plurality of consecutive video frames. Some of the plurality of consecutive video frames of the video feed are selected as reference video frames based at least in part on the text-based description. The text-based description is stored to a video surveillance data repository. The reference video frames are stored to a video surveillance data repository, while those of the plurality of consecutive video frames that are not selected as the reference video frames are not stored.

This invention provides a method and system for evaluating the effectiveness of river and lake construction, relating to the field of computer application technology. The method includes: Step 1, acquiring monitoring data of rivers and lakes, including satellite remote sensing data, UAV monitoring data, video surveillance data, and social network data; Step 2, based on the spatial distribution characteristics of the monitoring data, selecting hydrological monitoring stations, automatic water quality monitoring stations, and fixed shoreline markers in the rivers and lakes to construct a spatial coverage area, spatially partitioning the coverage area, optimizing the spatial geometric reference benchmark of each partition by performing circular geometric fitting on key monitoring points within each partition, and generating a spatial correction factor based on the optimized spatial distribution characteristics of each partition. This invention achieves a comprehensive, accurate, and all-encompassing evaluation of the effectiveness of river and lake construction.

A computer-implemented method (30) is proposed for analyzing the reaction of one or more users (52) to a function. This method uses a computing unit (58) in a vehicle (20) and / or a mobile unit (60) to receive and analyze personal surveillance data (22, 70), thereby determining the emotion (facial expression) and / or behavior (gesture) of a user (52). Furthermore, an evaluation function installed on the computing unit (58) maps the determined emotion and / or behavior of the user (52) to the function being executed at that time, in order to analyze the user's (52) reaction to the function. The result of the analysis is then sent to an external server (56).

The invention provides an agent-based power grid centralized control operation abnormal signal research and judgment and event method, and relates to the technical field of power grid intelligent research and judgment. The method comprises the following steps: carrying out analysis, semantization and time alignment on multi-source data such as remote signaling, remote measurement, event files, fault recording, historical alarms and monitoring logs, and constructing an operation monitoring data set; generating a candidate abnormal signal set based on real-time alarm, and extracting an action sequence fragment and a measurement change fragment to form an operation abnormal information cluster; the intelligent agent executes causal reasoning by utilizing equipment semantics, historical similar events and operation regulations, identifies a main cause alarm, a derivative alarm and a non-substantive alarm, and generates an anomaly research and judgment result; and an event object is further generated, a closed-loop sample is formed in combination with a running disposal log, and the exception knowledge base is self-updated, so that an agent reasoning strategy is optimized, and the accuracy of exception study and judgment, the structuralization of event expression and the continuous evolution of knowledge are realized.

The embodiment of the application provides a power transmission line inspection method based on multi-source data and related equipment, and belongs to the technical field of power inspection. The embodiment of the application can obtain inspection data in multiple dimensions, including high-altitude inspection data, ground inspection data, manual inspection data and fixed monitoring data, and utilize a multi-source feature model to identify defect types from the high-altitude inspection data, the ground inspection data, the manual inspection data and the fixed monitoring data in multiple angles, arrange an inspection line based on the identified defect types, increase the probability of finding defects of the power transmission line, increase the identification accuracy of the defects of the power transmission line, and improve the response speed of the inspection personnel.

A cause analysis device (100) is provided with: a data acquisition unit (110) that acquires a plurality of types of monitoring data relating to a monitoring target; a variable setting unit (120) that generates, on the basis of the monitoring data, monitoring data for learning, monitoring data for cause analysis, a data set for learning comprising an explanatory variable and a target variable, and a data set for cause analysis; a model learning unit (130) that, on the basis of the learning data set, generates a learning model that has been learned so as to input the explanatory variable and output the target variable; a contribution degree calculation unit (150) that calculates a contribution degree, which is the degree of influence of the explanatory variable on the target variable, on the basis of causal relationship data indicating a causal relationship in the plurality of types of monitoring data, the learning model, the monitoring data for learning, and the monitoring data for essential factor analysis; a cause analysis unit (160) that calculates a cause degree, which is the degree of the cause, for each explanatory variable on the basis of the contribution degree; and a cause analysis result output unit (170) that outputs cause analysis results on the basis of the cause analysis data set, the contribution degree, and the cause degree.

This application relates to the field of on-site work supervision technology, and in particular to a method for on-site safety supervision based on multi-target tracking. The method includes: collecting video surveillance data of workers; preprocessing the video surveillance data to obtain image frame data; processing the image frame data using the DeepSORT multi-target tracking algorithm to generate trajectory data for the workers; analyzing the image frame data based on a computer vision model to estimate the workers' attention data; fusing the trajectory data and attention data to construct a behavior vector for the workers; determining the workers' intention state by analyzing the behavior vector; when the intention state is determined to be driven by curiosity, checking the workers' permissions; if they lack permissions, it is confirmed as unauthorized entry, triggering a high-level alarm; if they have permissions, a low-level alert is triggered. This solves the problems of delayed warnings, lack of intent understanding, and limited supervision dimensions in existing technologies.

The invention relates to the field of video monitoring data collection, in particular to a video monitoring data collection and fusion method based on a multi-source probe and a large model, and the method comprises the steps: obtaining multi-dimensional safety data through the arrangement of the multi-source probe, inputting a preset large model, and outputting standardized safety data; determining whether common fields exist among the to-be-analyzed entities so as to judge whether an association relationship exists among the to-be-analyzed entities, inputting the to-be-analyzed entities with the association relationship into a preset rule engine, judging whether an explicit association relationship is established or not, and if the explicit association relationship is not established, executing exploring implicit association analysis; for the to-be-analyzed entities without the incidence relation, exploration implicit incidence relation analysis is directly executed, including inputting the to-be-analyzed entities into the pre-training model and determining whether to establish the implicit incidence relation based on the similar feature values, so that the integrity and accuracy of data acquisition are improved, and the accuracy and reliability of security threat discovery are enhanced.

A surveillance satellite that has detected a significant high luminance generates launch sensing data indicating a launch time point corresponding to a detection time point, a launch coordinate value expressing a position at which the significant high luminance was detected, and a line-of-sight vector at the detection time point and containing surveillance data at the detection time point and transmits the launch sensing data. A communication satellite that passes through a point in a communication range with respect to the surveillance satellite to transmit the launch sensing data receives the launch sensing data and transmits the launch sensing data to remaining communication satellites via a satellite communication network.

This invention provides a general aviation low-altitude flight information service system, comprising: a ground-based surveillance data acquisition and processing module, a TIS-B server, an ADS-B ground station, a BeiDou command aircraft, a flight service cloud server, and a general aviation low-altitude flight information service terminal; and an airborne ADS-B transceiver module, a TIS-B receiver module, a BeiDou short message communication module, an airborne display and control terminal, and a black box. This invention utilizes BeiDou short message service, 1090ES link, 5G air-to-ground communication link, and low-orbit satellite link to exchange traffic situation information, meteorological information, aeronautical information, and aircraft quality parameters according to standardized or customized protocols, enabling efficient collaborative general aviation low-altitude flight information services between airborne pilots and ground monitoring personnel.

Methods, systems, and computer programs are presented for detecting events based on video surveillance data and performing automated actions in response to detecting the events. The video surveillance system analyzes video data to detect events. The video is analyzed to detect objects within the video frames, and the objects may include, but are not limited to, people, animals, vehicles, tools, weapons, etc. The system identifies object attributes, such as appearance or movement, which may be used for event search and analysis. The system determines the object locations and calculates relationships between the objects. The triggers for the events are actuated based on the detected objects, such as presence of an object, relationships among the objects, movement of the objects, etc. The actions configured for the events are performed in response to the triggering. The system provides a user interface for defining event parameters, such as camera selection, triggers, and actions.

The present disclosure aims to allow users such as Health Care Personnel, nurses or more generally speaking video surveillance operators to blur video surveillance data and / or attach content such as comments or notes to video surveillance data at a client-level.

The invention relates to a shore-based radar, AIS (Automatic Identification System) and spaceborne SAR (Synthetic Aperture Radar) collaborative dense channel abnormal ship detection method. The method comprises the following steps of synchronously acquiring imaging data of a spaceborne SAR for a target area, monitoring data of the shore-based radar for the target area and AIS (Automatic Identification System) data of a ship; dividing the ship targets in the target area into moving ship targets, static ship targets and static suspicious targets; for the moving ship target, judging whether the moving ship target is an abnormal target or not based on motion information in the AIS data and the monitoring data; and for the static ship target and the static suspicious target, judging whether the static ship target or the static suspicious target is an abnormal target based on the feature information extracted from the AIS data and the imaging data. According to the invention, abnormal ships can be accurately detected under low visibility, and the navigation safety of dense channels is improved.