1889 results about "Smart surveillance" patented technology

A system for intelligent monitoring and management of an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics server is comprised of a real-time energy pricing engine, virtual system modeling engine, an analytics engine, a machine learning engine and a schematic user interface creator engine. The real-time energy pricing engine generates real-time utility power pricing data. The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-time data output and predicted data output of the electrical system. The machine learning engine stores and processes patterns observed from the real-time data output and the predicted data output to forecast an aspect of the electrical system.

A surveillance system and method includes a plurality of sensors configured to monitor an environment. A plurality of analytic engines is associated with each of the plurality of sensors. The plurality of analytic engines employs different technologies and is configured to analyze input from the sensors to determine whether an event has occurred in a respective technology. A unifying data model is configured to cross correlate detected events from the different technologies to gain integrated situation awareness across the different technologies.

An intelligent video monitor system comprises one or multiple on-site intelligent video monitor device module, IVSS platform server and video monitor system terminal. It is featured as forming said on-site intelligent monitor device module by input module, output module, image intelligent processing-module and data/signaling transmission module.

The invention discloses a multisensory robot used for family intelligent monitoring service. The robot comprises a main control device, wherein the main control device is externally connected with a camera, a sound collector, a cellphone alarm device and a loudspeaker; the main control device is also externally connected with a chassis moving device and a head gesture device; the chassis moving device consists of a chassis controller, a motor driver, an obstacle avoiding sensor and a smoke sensor; the chassis moving device is provided with a lithium battery and wheels required by a mobile platform; the main control device sends a control command to the chassis controller by a serial port to control the corresponding action of a motor and process an obstacle avoiding signal; the head gesture device consists of three steering engines and one relay; and the main control device sends a control command to a head controller by a serial port to control the head and the eyeballs of the robot to rotate and control the mouth of the robot to open and close. The multisensory robot is used for the family intelligent monitoring field, can be used for multisensory fusion and can realize the multifunction family monitoring such as face identification and anomalous event monitoring.

The invention relates to a GIS device state intelligent monitoring system and method based on the edge computing technology. The system includes a state sensor terminal, a data node device and an intelligent monitoring center, wherein the state sensor terminal is used for gathering collected state data to the data node device to perform power IoT edge calculation and is connected with the intelligent monitoring center through the transmission network, the condition monitoring sensor terminal is used for acquiring related state parameters in real time and receiving and performing limited edge calculation tasks, the data node device is used for collecting the data and receiving and performing the edge calculation tasks, and the intelligent monitoring center is used for performing equipment IoT management, intelligent evaluation analysis and advanced application for a GIS device state and configuring an optimized edge calculation algorithm model and an SG-CIM data model to the data node device. The system is advantaged in that a circuit breaker GIS equipment Internet of Things system of a substation is constructed, and the automation, informationization and intelligence level of equipment state evaluation and diagnosis can be improved.

The invention relates to a movement human abnormal behavior identification method based on template matching, which mainly comprises the steps of: video image acquisition and behavior characteristic extraction. The movement human abnormal behavior identification method is a mode identification technology based on statistical learning of samples. The movement of a human is analyzed and comprehended by using a computer vision technology, the behavior identification is directly carried out based on geometric calculation of a movement region and recording and alarming are carried out; the Gaussian filtering denoising and the neighborhood denoising are combined for realizing the denoising, thereby improving the independent analysis property and the intelligent monitoring capacity of an intelligent monitoring system, achieving higher identification accuracy for abnormal behaviors, effectively removing the complex background and the noise of a vision acquired image, and improving the efficiency and the robustness of the detection algorithm. The invention has simple modeling, simple algorithm and accurate detection, can be widely applied to occasions of banks, museums and the like, and is also helpful to improve the safety monitoring level of public occasions.

A radiation surveillance sensor system includes a radiation responsive sensor, a lightweight, radiation reflective member for selectively adjusting the incident radiation path to the sensor, and power means for controlling the position of the reflective member to achieve pan, tilt, or zoom functions for obtaining predetermined selectable view locations of the sensor. Similarly, a method for selectively controlling deflection of radiation from a field to be monitored by generating a 360 degree panoramic field of view includes the steps of fixedly positioning a radiation sensor for receiving radiation from a field to be observed, movably positioning a mirror-like surface for selectively reflecting radiation from the field to be observed towards the sensor, and rotatably driving the reflective mirror to selectively reflect radiation from the mirror to the fixedly mounted sensor to achieve up to a 360 degree panoramic view.

The invention discloses a vehicle relay tracking method in multi-camera scene. In the method, multiple cameras cooperate, and real time continuous tracking on vehicle in a multi-camera covering domain is realized in a complex scene. Firstly, image registration is carried out on a traffic pavement image obtained by multiple cameras by applying SIFT characteristic and RANSAC algorithm, and an L-M (Levenberg-Marquardt) algorithm is adopted to optimize an RANSAC transformation matrix, so as to form a pavement panorama image; secondly, a layering vehicle tracking method which is based on Camshift algorithm and a motion predictor is provided, so as to solve the problems of vehicle overlapping, partial obscuring and real time tracking; and finally a multi-camera target handoff method based on overlapped region boundary is provided, and a next camera is triggered when the algorithm detects that the target enters into the overlapped region of two cameras, so as to realize vehicle relay tracking. The invention can be widely applied to intelligent monitoring system in outdoor scene or suspicious vehicle continuous tracking system and has wide market prospect and application value.

The invention discloses an intelligent video monitoring system with privacy protection. The system comprises one or more intelligent video monitoring equipment modules, an IVSS platform server, and a video monitoring system terminal, wherein the intelligent video monitoring equipment modules can realize the intelligent and automation treatments of targets in a monitoring scene such as real-time detection, tracking, classification, behavior analysis and the like, and also realize performing scrambling treatment on contents related to the privacy so as to protect privacy information. According to the technical scheme provided by the invention, the intelligent monitoring method realizing privacy protection can automatically differentiate 'abnormities' in pictures, performs the detection, tracking, classification and behavior analysis on the moving targets, realizes the intelligent alarm, effectively avoids the occurrence of accidents, and can protect the monitored privacy information, and any privacy information is inaccessible to an authorized user.

The invention discloses remote video monitoring system and method suitable for 3G mobile network communication, relating to the field of remote control and monitoring. The invention realizes the purpose of remotely controlling or viewing a target scene in real time by connecting a mobile phone or a personal computer to one or more intelligent network cameras, wherein the mobile phone can be any 3Gsmart mobile phone which supports WCDMA, TD-SCDMA or CDMA2000, which guarantees the universality of remote monitoring. The intelligent monitoring system of the invention has the characteristics of convenient use, easy deploy, easy popularization, and the like and brings a new bright spot to security causes.

The invention relates to a remote video monitoring system combining with a wireless sensor network. The system combines the wireless sensor network with a video monitoring system and comprises a node of the wireless sensor network which is arranged arbitrarily and has the functions of sensing and colleting environment information data, one or a plurality of cameras which are arranged in a monitoring environment, the wireless sensor network which realizes building and management, a network video equipment terminal which controls monitoring actions of the cameras and processes and transports audio/video data, a large server which is connected with the network video equipment terminal by Internet network and realizes data storage and a remote monitoring center with an intelligent monitoring and managing system. In the system, the wireless sensor network is applied to the video monitoring system, thus realizing a double-layer network structure which combines the wireless sensor network and the Internet network. The system has the characteristics of wide application environments, easy installation and maintenance, high system reliability, rapid response to environmental abnormality, prompt warning and the like.

A method includes: receiving patient specific data; comparing the patient specific data with reference data; producing alerts when the comparison determines that an event requiring action has occurred; and sending the alerts to care providers. An apparatus that implements the method and a computer readable medium including instructions for performing the method are also provided.

The invention discloses an intelligent video monitor system combined with radio frequency technique and a method thereof. The system is composed by a data collection unit, a storage unit, a control unit and an application unit. The method comprises the steps of: mounting the data collection unit on a monitor scene as required by the monitor scene, enabling a monitored object to carry an electronic label including an exclusive identification coding, recording in the storage unit the distribution situation of the electronic labels, probability grammar describing motion rules of the object on the monitor scene and a variety of other information on the scene, ceaselessly capturing information of videos and electronic labels by the data collection unit, and transmitting the information upwards and continuously to the application unit via a network to realize the monitor to the monitored object. The invention effectively shortens the time as required by retrieving a video stream comprising particular objects and integrates merit about the radio frequency identification to batch-identify the objects at high speed, thereby the invention is convenient to track and monitor the monitored objects on condition of high density and improve system intelligence, as well as suitable for online application, expedient intelligent monitor system.

The invention discloses a multi-dimensional intelligent remote inspection system for a transformer substation, which adopts independent networking and receives various operation information of a station end integrated automation system, and is in communication connection with a video center main station to obtain remote view data, remote measurement data, remote control data and remote signaling data; the dispatching center SCADA main station system is in data communication with the station end integrated automation system and receives various kinds of operation information of the station endintegrated automation system; and the video center main station is also in data communication with the dispatching center SCADA master station system to provide real-time video verification for remotecontrol operation of the dispatching center SCADA master station system. According to the invention, a powerful intelligent monitoring and emergency command platform is provided for production linksand security links such as remote control operation and remote equipment inspection of scheduling personnel, field operation and emergency disposal of operation and maintenance personnel and the like,can be suitable for actual application of power production, and ensures safe operation of power grid production.

The invention provides a full-automatic anti-intrusion intelligent video monitoring alarm system for an unattended villa, which relates to the technical field of intelligent monitoring systems. The anti-intrusion intelligent video monitoring alarm system comprises a video intelligent analysis system, an anomalous event analysis system and an anomalous event alarm system. The video intelligent analysis system particularly refers to automatically detecting an object through a subregion autonomous non-reference threshold algorithm and an object key information secondary extraction algorithm and automatically tracking the object by adopting a movement trend tracking algorithm merging Kalman filtering and particle filtering. By detecting and tracking the movement objective track information, the movement direction, the horizontal and vertical displacement, and the object center position of the object are determined. The anomalous event analysis system particularly refers to analyzing video signals acquired by a villa monitoring camera through a machine vision algorithm, judging anomalous and dubious behaviors of the objects (personnel) around and in a villa through a preset rule, and notifying information on pictures, characters and the like of the anomalous behaviors and events to a proprietor or a security department in time.

The invention discloses a double machine warn backup switching method achieved based on the SOA and the RS485 bus. A console system takes charge of processing switch between a host and a slave machine, the distributed storage of data, and coordinating the work of the host and the slave machine of a generating station monitoring system; the host and the slave machine judge whether or not the slave machine or the host is abnormal through messages sent by the console system and/or a heartbeat line, if the slave machine or the host is abnormal, tasks of the other side are taken over; both the host and the slave machine start all of the threads of the tasks, wherein the host mainly undertakes a data checking task, the slave machine monitors the host, receives monitoring data simultaneously, conducts filtering process on the data, and merely receives the data sent upward by smart monitoring equipment of a lower computer. The invention further discloses a double machine warm backup system achieved based on the SOA and the RS485 bus. The double machine warm backup system achieved based on the SOA and the RS485 bus comprises the console system, the host and the slave machine. The host and the slave machine can be operated simultaneously, all of task processes are in a starting state, and synchronous backup is performed on the data in a database through the console system at any time. In the process of switch, the problems of starting and loss of the data are unnecessary to consider, and therefore time is saved for double machine switch.

The invention relates to a rat infestation intelligent monitoring system and method based on a cloud server. The system comprises a thermal infrared camera equipment, an intelligent terminal and a cloud server connected in order; the thermal infrared camera equipment monitors motion trails of the rate by using thermal infrared sensing technology and the camera technology and sends the monitored video frame to an intelligent terminal; the intelligent terminal judges a mobile object, records the current video frame and marks the motion trails, and transmits the video clip with the motion trailsto the cloud server; the cloud server identifies the mobile rate and saves the current video clip, and marks the rat location and the motion trails in the current video clip, and then performs the data summary analysis processing to obtain the related parameter information about the rat activity so as to realize the rat infestation intelligent monitoring. The system performs rough identification through the intelligent terminal and finely identifies the mobile rate in cooperation with the cloud server, the rat infestation intelligent monitoring is realized, the rat infestation can be discovered and controlled as early as possible, the unnecessary loss is reduced, the manual cost is lowered, and the monitoring efficiency is improved.

The invention discloses a face gender recognition method based on a fuzzy support vector machine, belonging to intelligent monitoring technology in computer vision, in particular to face recognition technology. In the method, preprocessing is respectively carried out on images in a face training base and images in a face image collecting base in advance; the face characteristic extraction and the characteristic selection are carried out on the obtained two groups of preprocessed images; neural network training is then carried out to generate the fuzzy membership grade; the classifier design of the fuzzy support vector machine is carried out on the obtained fuzzy membership grade; finally, the face gender recognition is carried out and the result is output to be shown. With strong environment adaptability, the method can maintain strong robustness under different light intensities, attitudes and facial expressions. The method can also be applied to various monitoring systems and information collecting systems.

System and method of intelligent surveillance and analysis mainly used for monitoring whether a field has an intrusion object (such as a thief), and instantly providing video or image of the suspected intruder to approved relevant individual (such as the house owner) for further confirmation of the presence of the intrusion object (such as thief); therefore, the wrongful determination by the computer is avoided. The aforementioned system includes, first the determination and extraction of the contour of the suspected intrusion object, then the continuous tracking of the suspected intrusion object according to the contour, continue capturing of images using the camera, and then storing these captured video temporarily, and finally notifying the house owner using the highest definition image of the video which occupies a lesser amount of bandwidth through various communication channels once the presence of thief is determined; the video is downloaded using higher bandwidth, and is played.

RF receiver topologies and systems incorporating such topologies are described. Various implementations allow the intelligent monitoring of transmission formats, multi-format reception, and real-time receiver parameter optimization.