65 results about "Surveillance data" patented technology

The invention relates to a chemical plant dangerous area electronic fence generation method and system, and the method comprises the steps: obtaining the positioning data of a target person, the positioning data of production equipment, and the video monitoring data and environment sensing data of a target area, carrying out the recognition based on the video monitoring data, and obtaining the behavior data of the target person, the method comprises the steps of dividing a target area into virtual grids based on a dynamic grid algorithm, determining distribution of geographic features based on GIS geographic information of the target area, filtering impassable areas based on the distribution of the geographic features, aggregating and combining adjacent grids, generating a closed boundary, and establishing a risk level evaluation model to evaluate the risk level of each virtual grid. The boundary adjusting module is used for adjusting the minimum buffer area width of the closed boundary to obtain a final electronic fence boundary, and the electronic fence boundary is used for carrying out risk early warning. According to the invention, dynamic and accurate sensing and protection of the high-risk area in the chemical plant are realized.

The invention discloses a rail transit anomaly detection method and device based on a digital twin technology, and relates to the field of artificial intelligence, the field of big data or other related fields, and the detection method comprises the steps: collecting environment perception data and video monitoring data of at least one target road section, and obtaining a real-time data stream in a first target time period; analyzing the real-time data flow based on a preset abnormal behavior rule to obtain an abnormal analysis result; a digital twinborn model is called, the digital twinborn model is detected according to the abnormal analysis result and the real-time data flow, a detection result is obtained, and the digital twinborn model is used for synchronously reflecting the actual physical environment, the basic equipment layout and the equipment operation state in the rail transit scene; and generating an anomaly detection report based on the detection result and triggering an anomaly warning. The technical problem that the emergency response speed is low due to the fact that a traditional video monitoring system lacks intelligent means in on-orbit traffic elevated section safety supervision in the prior art is solved.

The invention discloses an intelligent campus student activity trajectory tracking method and system based on front and rear end fusion learning, and relates to the technical field of intelligent campus security. An embedded front end collects videos of a plurality of monitoring cameras of a campus, carries out target detection and extracts primary features of student targets; uploading the extracted primary features and the video to a back-end server; and the back-end server extracts advanced features of human body postures and gaits from the video by using a human body posture estimation algorithm and a gait recognition algorithm, fuses the advanced features and the primary features to obtain fused features, and clusters all detected student targets by using the fused features, thereby realizing cross-camera identity unification of the same student under different cameras, and improving the identification accuracy of the student. Face detection and recognition are carried out in each clustering group, a student information base is matched to determine student IDs, and the student IDs, video timestamps and monitoring camera position information are stored; and the client retrieves target information according to the input student ID or photo, and automatically clips and generates a time-space continuous complete cross-camera trajectory tracking video. According to the invention, efficient and intelligent analysis of campus monitoring data is realized, and targets can be accurately associated and tracked in a cross-camera scene.

The invention relates to the technical field of museum safety management, and discloses a museum intelligent monitoring system based on multi-source electronic information fusion, and the system comprises a multi-source electronic information collection module which obtains video monitoring data, environment sensor data and passenger flow monitoring data distributed in a museum; the data fusion module is used for extracting dynamic behavior characteristics from the video monitoring data, extracting abnormal environment parameters from the environment sensor data, extracting density distribution characteristics from the passenger flow monitoring data, and generating a comprehensive risk map through multi-modal characteristic fusion; the intelligent early warning module is used for generating graded early warning signals based on risk types contained in the comprehensive risk map; and the linkage control module is used for triggering corresponding control operations in security and protection equipment starting, environment regulation equipment regulation or passenger flow dispersion terminal prompting in the corresponding areas according to the graded early warning signals. The safety supervision and management efficiency of the museum can be improved, and various risks in the museum can be comprehensively, accurately and timely managed, controlled and handled.

A method of authenticating a video surveillance data package from a video management system (VMS) of a video surveillance system, the method comprising the steps of a) receiving, by a computing device, a video surveillance data package generated by the video management system; b) calculating, by the computing device, a first hash value for the received video surveillance data package; c) comparing the first hash value of the received video surveillance data package to a second hash value provided by a secure repository, the secure repository comprising a video surveillance data package received from the video management system prior to step a); d) validating the first digital signature of the received video surveillance data package; and e) determining that the video surveillance data package received by the computing device is authentic based on both step c) and step d).

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.

A method may comprise receiving airspace surveillance data from a plurality of sensors, the airspace surveillance data comprising tracks associated with one or more targets, aggregating the airspace surveillance data to obtain aggregated data, performing density-based clustering of the aggregated data to obtain a plurality of clusters, determining one or more candidate associations between the tracks and the clusters, associating each of the tracks with one of the one or more targets based on the candidate associations, and estimating a track for each of the one or more targets based on the associations between the tracks and the one or more targets.

The present invention discloses an intelligent highway inspection and control system based on multimodal data fusion, comprising a multimodal data acquisition module; a data fusion and preprocessing module; an intelligent inspection and analysis module; an inspection decision and execution module; and a system management and user interaction module. By integrating multiple data sources such as video surveillance data, vehicle traffic data, and meteorological data, real-time monitoring and intelligent analysis of highway traffic are achieved, and abnormal behaviors and violations of vehicles can be identified quickly and accurately, significantly improving inspection efficiency and accuracy. The system overcomes the defects of traditional inspection methods such as reliance on manual labor, low efficiency, insufficient accuracy, and poor real-time performance. It can discover and handle violations in real time, enhance the timeliness and deterrent effect of inspections, improve management efficiency and user experience, and thus effectively ensure the safety and smooth flow of highways, providing traffic management departments with an efficient and reliable intelligent inspection solution.

The invention provides an old people guarding method and system based on the Internet of Things, and the method comprises the steps: generating a control parameter distribution state of an Internet of Things node device according to the use data of the Internet of Things node device, the Internet of Things node device being a household intelligent device in communication connection with an Internet of Things central device; modeling based on the control parameter distribution state of the Internet of Things node equipment to obtain a behavioral habit model of a guarding object, monitoring daily use behaviors of the Internet of Things node equipment, and judging whether an abnormal use event which is not matched with the behavioral habit model exists or not; and when an abnormal use event which is not matched with the behavior habit model exists, calling video monitoring data to analyze the real-time state of the guarding object, and judging whether emergency treatment measures need to be executed or not according to the analysis result of the real-time state, so that the behavior data of the old people can be comprehensively obtained, and the safety of the old people is improved. Therefore, the physical state of the elderly can be analyzed and predicted more reasonably.

The present invention relates to the technical field of video analysis means, and specifically, to a method for real-time multi-target tracking of passengers in a terminal. This method is based on video surveillance data in the terminal, with passengers as the main tracking objects, and aims to complete real-time multi-target tracking in the terminal scenario. Secondly, the proposed multi-target tracking method can analyze the surveillance video in the terminal in real time and accurately track multiple passengers. This technology not only improves monitoring efficiency, such as being able to count passengers in real time and set early warning broadcasts, but also optimizes passenger flow lines, reduces congestion, and thus enhances the overall travel experience of passengers. Combined with the current aviation transportation industry's growing demand for safety and efficiency, this method will provide airport management departments with strong data and technical support, enabling them to respond to emergencies in a timely manner on the basis of real-time monitoring, and enhance the level of intelligence in airport operations.

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.

The present application discloses a method, device, electronic device and medium for identifying employee status. The method includes: obtaining a surveillance video of a workstation to be identified; inputting the surveillance video into a pedestrian detection model to obtain pedestrian feature information; obtaining a target position corresponding to the pedestrian feature information and a reference position corresponding to the workstation to be identified, and determining the positional relationship between the target position and the reference position; if the target position is within the reference position, determining that the workstation to be identified is in an employee on-duty state, and being able to automatically identify the on-duty status based on the video surveillance data.

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.

The application provides a communication method for slave station active notification of master station data reading under Modbus protocol, and the steps are as follows: the master station sends the Modbus address of the data to be monitored to the specific address of the slave station; after receiving the data to be monitored, the slave station carries out data monitoring, directly records the change result in the specified address segment, and changes the data state bit used for identifying the data change monitored by the slave station; the master station periodically reads the data state bit of the slave station, reads the data in the specified address segment of the slave station when the change is found, and obtains the data with value change of the slave station; the slave station changes the data state bit after feeding back the data in the specified address segment to the master station; and the master station completes the analysis and record of the changed data. In the application, the master station of Modbus communication only needs to periodically scan the identification bit used for indicating the state of the slave station, so that the purpose of the slave station notifying the master station of the event occurrence and reading the parameters can be achieved, and the application has the advantages of scientific design, strong practicability, simple operation and high communication efficiency.

A method of training a machine learning algorithm to identify objects or activities in video surveillance data comprises generating a 3D simulation of a real environment from video surveillance data captured by at least one video surveillance camera installed in the real environment. Objects or activities are synthesized within the simulated 3D environment and the synthesized objects or activities within the simulated 3D environment are used as training data to train the machine learning algorithm to identify objects or activities, wherein the synthesized objects or activities within the simulated 3D environment used as training data are all viewed from the same viewpoint in the simulated 3D environment.

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 present application discloses verification of an updated analysis program in a monitoring system. Specifically, a method (100) for evaluating an updated analysis program in a monitoring system is provided, the monitoring system including a plurality of monitoring devices arranged to monitor similar environments. The method comprises: identifying (S110) available processing resources, selecting (S120) a first monitoring device for which available processing resources have been identified, selecting (S130) a second monitoring device, obtaining (S140) monitoring data by the second monitoring device, and executing (S150) a current analysis program on the monitoring data. The method also comprises sending (S155) the monitoring data to the first monitoring device, executing (S160) an updated analysis program on the monitoring data in the first monitoring device, and evaluating (S190) the updated analysis program based on the results of the current analysis program and the updated analysis program.

The invention relates to the field of power transformation infrastructure security and protection, in particular to a power transformation infrastructure risk identification method and system and a medium, and the method comprises the steps: collecting multi-modal data of a construction site, the multi-modal data comprising video monitoring data, operation monitoring data, equipment state data and environment monitoring data; a BIM model is adopted as a three-dimensional digital base map of a construction site, fusion modeling is carried out on the multi-modal data and the BIM model, and the BIM model after fusion modeling is obtained; inputting the multi-modal data into a pre-trained AI large model, extracting safety risk characteristics and violation behavior modes of the construction site through the AI large model, and identifying safety risks and violation behaviors in real time by the AI large model based on the extracted safety risk characteristics and violation behavior modes; and in response to the AI large model, identifying security risks and violation behaviors in real time, generating alarm information, and positioning and displaying the alarm information through the BIM model after fusion modeling.

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 invention relates to the field of opinion collection technology, and particularly to a method and system for monitoring the environmental impact of land spatial planning. The method includes: delineating the planning area of ​​the land space; collecting video surveillance data using video surveillance equipment pre-deployed in the planning area; identifying target personnel upon detecting human activity; receiving Bluetooth beacon signals from the target personnel using a Bluetooth receiver integrated in the video surveillance equipment and sending an opinion inquiry pop-up window; receiving feedback opinions uploaded by the target personnel, synchronizing them to the Bluetooth receiver, constructing a sentiment dictionary, comparing the sentiment tendencies and keywords in the feedback opinions, and clustering the sentiment tendencies into "yes" and "no". This invention, by establishing a communication link, can quickly collect public opinions in areas with acute conflicts, facilitating the early detection of potential conflict points and timely intervention, providing a decision-making basis for the dynamic adjustment of planning schemes, and significantly improving public acceptance of the environmental impact of land spatial planning, ensuring the smooth implementation of planning schemes.

The invention discloses a fully mechanized coal mining face video monitoring data acquisition control system and method. The system comprises a camera, a plurality of infrared induction sensors, a hydraulic support pressure sensor, a coal mining machine encoder, a scraper current sensor and a microcontroller. Wherein the camera and the microcontroller are arranged on a top beam of the hydraulic support, and the camera is in a standby state in a normal state; the infrared induction sensors are arranged on stand columns of the hydraulic support and used for detecting whether operators exist around the hydraulic support or not. The microcontroller is in communication connection with other equipment in the system, and the microcontroller is used for judging whether a to-be-monitored target scene exists or not according to data detected by the sensors in real time and sending a starting instruction to the camera under the condition that any one of the multiple target scenes exists. According to the system, the starting time of the camera can be reasonably controlled, the collected useless video monitoring data is reduced, and the data volume to be processed is reduced.

The invention discloses a visual investigation and treatment system and method for potential safety hazards of a marine fishing boat, and aims to improve the intelligent and visual level of safety management of fishing boat operation. The method comprises the following steps: acquiring video monitoring data of different operation areas of a target marine fishing vessel, and generating an operation behavior vector of an operator; constructing a three-dimensional model in combination with ship structure data, and fusing the operation behavior vector and the three-dimensional model to generate an operation scene three-dimensional visual model; carrying out operation potential safety hazard checking based on the model, and obtaining a data updating timestamp in real time to determine a checking delay state; the acquisition frequency of the video monitoring data is adjusted according to the troubleshooting delay state, a data updating strategy is made, and an optimized visualization model is obtained; and performing operation safety assessment on the operator through the optimization model, and forming an operation potential safety hazard treatment strategy according to the operation safety assessment. According to the method, potential safety hazards can be effectively found and treated, and the troubleshooting accuracy and the treatment efficiency are improved.

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.

Systems, methods, and software to process video surveillance data based on distortion identified in video streams. In one example, a computing device identifies a video stream from a video source and a map of a physical area monitored by the video source. The computing device further obtains user input identifying objects in the video stream and the map, wherein the user input for each of object of the objects correlates a tag of said object in the video stream to a tag of a representation of said object in the map. From the user input, the computing device calculates distortion in the video stream and monitors movement trends associated with additional objects based on the determined distortion, the user input, and the movement of the additional objects in the video stream.

The invention is suitable for the technical field of information pushing, and particularly relates to a smart park information pushing method and system, and the method comprises the steps: determining a deployment point location of a Bluetooth receiver, the deployment point location at least comprises an office area and a park entrance and exit, obtaining a Bluetooth beacon signal of user equipment, extracting a unique identifier, and sending the unique identifier to the user equipment; configuring a corresponding relationship between the unique identifier and the user; and creating nodes in one-to-one correspondence with the users, synchronizing the unique identifiers into the nodes, and creating a plurality of levels. According to the method and the system, the information can be pushed after the personnel enter the smart park by popping the information into the side chain in stages and combining with the video monitoring data, so that the pushing range is prevented from being expanded, the pushing result is verified, the information pushing effect can be ensured, the pushing strategy can be optimized, the pushing accuracy is further improved, and the pushing efficiency is improved by two rounds of pushing. The coverage rate of the pushed information can be improved, the memory and understanding of the user are deepened, and the pushing effect is improved.

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.