1406results about How to "Alarm in time" patented technology

The invention relates to a fall detection method based on a video. The method comprises steps that S1, video images are processed, and human body areas of the images are identified and positioned; S2, articulation point extraction based on the cascade regression network is carried out for the human body areas to acquire a set of human body articulation points, the first stage network is cascaded back with multiple regression networks having identical structures so as to precisely adjusting coordinate positions of the human body articulation points; and S3, a motion vector of each human body articulation point is taken as a human body motion characteristic, through analyzing articulation point change, whether a human body falls is dynamically analyzed. The method is advantaged in that whether the elderly people living alone falls can be accurately and conveniently determined through video image analysis.

The present invention provides a fixed bayonet electron police shoot device, including a CCD close-up vidicon, a panoramic camera, an embedded industrial personal computer, a topomorph floor sensing detector, a L type fixing support, a speed detecting radar for police; the floor sensing coil couples the coil signal in the topomorph floor sensing detector; the topomorph floor sensing detector analyzes the coil sensing signal changes and informs the embedded industrial personal computer by signal; the detecting radar for police real-time detects the vehicle speed, and informs the speed to the embedded industrial personal computer; the embedded industrial personal computer controls the detecting radar for police and detects the speed of the vehicle, when overspeed signal is present, and the vehicle detector acquires processed signal, the embedded industrial personal computer controls CCD close-up vidicon to collect close-up picture, and controls the panoramic camera to collect panoramic picture. The invention greatly improves detecting ratio of the violation of laws of the overspeed vehicle, and processing real-time violation of laws detection, real-time shoot to the bayonet vehicle, no laborer required.

The invention relates to a remote state monitoring method and system for robots and robot production line equipment. The system comprises a central control room IPC (industrial personal computer), an exchanger and data servers, wherein the central control room IPC, the exchanger and the data servers are connected sequentially, the data servers are connected with robot controllers and all intelligent equipment provided with Ethernet interfaces in a production line through Ethernet, and all PLCs (programmable logic controllers) in the production line are connected with the data servers through PROFINET interfaces; furthermore, the central control room IPC is connected with a central control room large screen and a mobile terminal, and the exchanger and the data servers are in redundancy configuration. According to the method and the system, data acquisition, data mining, off-line analysis and wireless remote transmission are performed on operating states of the robots and key equipment in the production line, the operating states of the robots and the key equipment can be monitored on a remote platform and a mobile platform, possible potential faults of the robots and the key equipment are predicated, the current fault is positioned rapidly and accurately, and guidance and advices of experts are offered.

The invention discloses an anti-theft method for vehicle based on video capture and biometric facial recognition and a device thereof. The method comprises the following steps: firstly, an infrared camera is used for collecting allowed facial images of a driver to extract facial features, and then facial feature data are stored in an embedded computer for registering; before a driver drives, an image is collected by the infrared camera to extract facial features which are compared with registered facial features; if the data are matched, the vehicle is permitted to start, or the vehicle is forbidden to start. The illegal users of vehicles can not start the vehicles even if owning vehicle keys; the processes of illegally using vehicles and stealing valuables in the vehicles and the damage to vehicles can be collected in the form of video to leave necessary proofs and the device can call the police to the control center in time.

The invention discloses a composite monitoring system. The system comprises a central processing unit, at least one linear monitoring and processing system, at least one point mode monitoring and processing system, a plurality of field acquisition modules and an output control processing system, wherein the point mode monitoring and processing system is in charge of thoroughly monitoring the temperature, stress, vibration, pressure, gas and smoke of a monitored place and the voltage, power, frequency, overload, under-voltage and power leakage and other information needed for power monitoring through a plurality of field acquisition modules in fit with the linear monitoring and processing system and a linear detecting line thereof, the central processing unit judges if any abnormality occurs by comprehensively analyzing the field information received; If so, the central processing unit controls the equipment arranged on site to respond accordingly through the output control processing system. The system has the characteristics of high detecting accuracy, complete functions and rapid response, and can monitor the abnormal changes of the monitored area to a greater extent so as to protect the safety of human lives and properties.

The invention relates to a vehicle detecting, tracking and identifying system based on multi-camera. The system comprises a plurality of cameras in different places, a detecting module, a tracking module, a feature extraction module and an identifying module, wherein the output ends of cameras are connected with the input end of the detecting module; the output end of the detecting module is connected with the input end of the tracking module; the output end of the tracking module is connected with the input end of the feature extraction module; and the output end of the feature extraction module is connected with the input end of the identifying module. By detecting the traffic flow condition of the road, the invention can provide data support for traffic control, and the traffic managercan formulate a reasonable strategy to avoid traffic accidents or traffic jams.

The invention discloses an audio and video conjoint analysis-based fighting detection system and an audio and video conjoint analysis-based fighting detection method thereof. The audio and video conjoint analysis-based fighting detection system comprises a video acquisition module, an audio acquisition module, an algorithm detection module and a management module, wherein each of the video acquisition module and the audio acquisition module adopts a camera, an acquisition card and a computer; the video acquisition module acquires an analogue signal of the camera to a memory of the computer by the acquisition card; the audio acquisition module acquires the analogue signal of the camera to the memory of the computer by the acquisition card; and the algorithm detection module judges the fighting of persons in a target area, judges synchronous audio and video, detects, identifies and positions the chaotic fighting of the persons in the target area, and outputs results to the management module. In the system and the method, the behaviors of the persons in a monitored scene are analyzed, identified and positioned to accurately diagnose the abnormal behaviors such as gathering, fighting and the like of the persons appearing in a video image and give an alarm.

The invention relates to an online updating method of a principal component analysis monitoring model. The method comprises the following steps that: 1) A model online updating system comprising data acquisition equipment and a monitoring computer is arranged in industry field; 2) A traditional principal component analysis (PCA) modeling module uses historical data to establish a PCA initial monitoring model; 3) After the monitoring begins, a mean value variance updating module calculates a mean value and a standard deviation sigma' of a new model according to real-time process data and the current PCA model; 4) A projection point calculation module calculates a residual vector of a new sample and transmits to a residual determination module; 5) The residual determination module determines an updating method of a projection direction according to a size of a residual vector die; if the residual is large, a principal component space adjusting module is called; if the residual value is small, a principal component direction fine adjusting module is called; finally a load vector P' nk and a characteristic value matrix lambda' kk of the new model is obtained; 6) A control limit updating module carries out control limit and updating on statistical magnitude of the model; the system finally outputs the new model omega' which is used for online monitoring and fault diagnosis during an industrial process.

The embodiment of the invention provides an NFC monitoring device, comprising: a connection unit for the communicative connection with an NFC communication terminal in a manner of NFC; an authentication information sending unit for sending authentication request information to the NFC communication terminal; an authentication unit for authenticating certification information sent by the NFC communication terminal according to the authentication request information; and an initiation control unit for initiating an operating authority for monitored articles upon the success of the authenticationby the authentication unit. The embodiment of the invention also discloses an NFC communication terminal and a monitoring system. With the NFC monitoring device, an NFC mobile phone can inquire the state of monitoring and alarming objects at any time, thus realizing remote monitoring and alarming simply and conveniently, and the NFC monitoring device, the NFC communication terminal and a securitymonitoring system exchange information to form a security monitoring and alarming system, which can realize the monitoring for valuable articles and burglar alarm simply, conveniently and flexibly.

The invention provides an intelligent door lock system and an intelligent reminding method. The intelligent door lock system comprises an intelligent door lock, a cloud server and a hand-held terminal; when a user configures the intelligent door lock by use of the hand-held terminal, relevant geographical position information is uploaded to the cloud server; the hand-held terminal and the intelligent door lock are capable of determining the position and the state of the user by virtue of Bluetooth connection; the intelligent door lock regularly reports the relevant information of the door to the cloud server; the cloud server decides a reminding way and whether or not to transmit according to the time, position and state at the moment. The intelligent door lock system is capable of obtaining the geographical position information and the environmental information of the user by use of the hand-held terminal and the user does not configure manually and repeatedly; a remote monitoring function is provided, so that an alarm can be given as soon as possible in case of exception; as a result, the safety of the door lock is improved.

The invention discloses a method and system for detecting abnormal sounds. The method includes the steps that short-time energy of each frame of a collected audio signal is compared with a first short-time energy threshold value, if the short-time energy is larger than the first short-time energy threshold value, the corresponding frames are recorded to be first-grade frames, if the short-time energy is smaller than the first short-time energy threshold value, the short-time energy of each frame of the collected audio signal is compared with a second threshold value or the zero-crossing rate of each frame of the collected audio signal is compared with a zero-passing rate threshold value, the frames with the short-time energy larger than the second short-time energy threshold value or the zero-passing rates larger than the zero-passing rate threshold value are recorded to be second-grade frames, and when the number of the continuous frames which are the first-stage frames or the second-stage frames is larger than N and the current frame is the first-stage frame, it is judged that the sounds are abnormal. By means of the method, the abnormal sounds are judged by calculating the short-time energy and the zero-passing rates; as the short-time energy and the zero-passing rates belong to the time domain characteristics and are not related to frequency domain conversion and characteristic parameter calculating, the calculating complexity can be lowered. Meanwhile, as audio information collected in real time is processed, real-time processing and real-time analysis can be carried out, and abnormality can be judged in time.

The invention relates to a two-door gate inhibition system and a control method, based on biology character recognize technique, comprising a biology character gate inhibition device, a controller, an electric lock, a switch box, a biology character register terminal, and a gate inhibition system server, wherein the biology character register terminal registers the biology character information, to record and build database for general biology character and alarm biology character, when passes two doors, the gate inhibition device checks and receives biology character, to extract and compare the biology character information, and when the biology character information is authorized one, to send an outer door open request to the controller, and when the biology character information is alarm biology character, send out an outdoor door open request and an alarm signal. The invention provides forced alarm method, to open door with starting alarm response, to alarm on time and protect owner.

The invention discloses a fake identification system of bank bills based on spectral image analysis, which uses a device and adopts a method of multispectral analysis to excite the anti-fake characteristics on the standard samples of bank bills so that the anti-fake characteristics, such as paper characteristics of paper, fiber, watermark, printing ink, format, print, writing information and the like, are shown, and finally collects, inputs and establishes a standard image database. The database is edited by a computer language and then application software is generated so as to form the fake identification system of bank bills together with the device. A plurality of main anti-fake characteristics of the identified bank bills, such as the paper, the print, the printing ink, the writing information and the like, can be identified under all different light sources, such as illuminating light sources, main light sources, side light sources, backlight sources, long-wave ultraviolet rays, short-wave ultraviolet rays, anti-face laser, infrared light sources and the like. The system is applicable to the technical field such as the anti-fake identification of the bills circulating on the market and is capable of detecting all anti-fake characteristic points of the bills. Synchronously, a network supervision system is established.

The invention discloses a monitoring video intelligent analysis and early-warning platform. The platform comprises a camera device, an intelligent analysis platform, a display system, an alarm systemand a database; the intelligent analysis platform receives and processes video data collected by the camera device; the intelligent analysis platform performs data interaction on a processing result and a database; and the intelligent analysis platform is connected with the alarm system and the display system; the intelligent analysis platform comprises a face recognition module, a behavior recognition module, an event recognition module, and a visitor management module; the alarm system comprises a result judgment module, an automatic calling system and a plurality of alarm apparatus; the result judgment module judges the alarm level according to the received information. The intelligent analysis platform performs intelligent processing on image information collected by the camera device,the monitoring region can be well managed through the record analysis on the information; and the alarm system is used for stopping illegal behavior in time.

Energy-saving intelligent lighting control system, wherein a street lamp terminal system includes an infrared heat release counting system, a sensor, a single chip microcomputer (SCM), a GPRS modular, a RS485 communication circuit and a relay of control element, the SCM controls charge or discharge of the relay directly, communication between the SCM and the GPRS module is proceeded by standard RS232 serial ports; computers in monitoring center analyze local data information of corresponding SCM, judging working situation of street lamp, checking accident position and sending instruction of street lamp switch to internet through the GPRS module, finalling arriving at corresponding street lamp terminal system. The invention can judge switching-on or switching-off of corresponding lamp according to existance or non-existance of vehicle on street, and enable monitoring center to control single lamp, and make reasonable use of lamps along the street according to obtained local traffic flow; and capable of monitoring local information of street lamp and sending alarm to street lamp in abnormal working situation.

A wireless intelligent smoke alarm monitoring system comprises wireless smoke detection nodes, a wireless Internet of Things base station, a cloud server, a fire monitoring platform and a monitoring terminal and belongs to the technical field of fire remote monitoring. A communication of the wireless smoke detection nodes adopts a LoRa module, and smoke ions, combustible gas and temperature data collected can be transmitted to the wireless Internet of Things base station wirelessly; the wireless Internet of Things base station transmits the data to the cloud server for storage and processing;the first monitoring platform is connected to the cloud server through a data access processing layer, and a fire inspector receives an inspection task on the basis of the monitoring terminal, executes corresponding rescue operation and reports a feedback sheet. The wireless intelligent smoke alarm monitoring system has the advantages that low-power wireless Internet of Things technology is utilized, networking range of the system is enlarged, the number of the smoke detector nodes is increased, and a fire hazard can be monitored in real time and alarmed without wiring.

The invention relates to the technical field of image processing and mode recognition, and discloses an undamaged detection method for a pipeline. The method comprises the following steps of: S1, acquiring video signals in a preset area; S2, performing image enhancement on a plurality of thermograms acquired in the video signal; S3, processing a plurality of thermograms which are subjected to the image enhancement, and performing image stitching; and S4, performing undamaged detection on the pipeline in the preset area by utilizing a stitched image. According to the method, a technology of image processing and a technology of mode recognition are combined to provide the undamaged detection method for the pipeline. According to the method, the position and leakage of the pipeline are detected by using the processed image, so that the pipeline is not damaged in the detection process, and leakage points of the pipeline can be detected accurately to alarm in time on possible potential safety hazards.

The embodiment of the invention provides a management method and system of an internet of vision terminal. The method comprises the following steps: a webmaster server reads non-dynamic attribute information of multiple internet of vision terminals stored in a database to a cache when the webmaster server is started; if the non-dynamic attribute information stored in the cache is changed, the webmaster server synchronously updates the non-dynamic attribute information stored in the cache to the database through an internet protocol; the webmaster server acquires dynamic attribute information of the multiple internet of vision terminals from an internet of vision main server through an internet of vision protocol, and saves the same to the cache; the webmaster server monitor the dynamic attribute information in the cache; and alarm information corresponding to the dynamic attribute is generated and send to a webmaster client to display if any dynamic attribute information exceeds a corresponding preset attribute threshold. Through the management method provided by the embodiment of the invention, the management efficiency of the internet of vision terminal can be improved and optimized.

The invention provides a data synchronization method which is used for migrating data in a source database to a target database. The data synchronization method is characterized in that the data synchronization method comprises the following steps: judging whether current time is equal to or later than a data time point and delay time or not, if so, entering a data synchronization step, and otherwise, rejudging after waisting for certain time; synchronizing the data, i.e., migrating the data of the source database to the corresponding position of the target database; meanwhile, recording the number of migrated data strips; judging whether the strip number of data synchronization is greater than the product of the current experience strip number and a preset threshold as a coefficient, if so, ending migration, and otherwise, waiting a preset waiting time duration and then returning to the step of data synchronization; meanwhile, recording the accumulated waiting duration; recalculating to determine the experience strip number and delay time according to the number of the migrated data strips in the data synchronization record; and returning to a start step.

The invention relates to fault diagnosis technology for a mechanical tower, which comprises a sensor group comprising a vibration or/and steady-state acceleration detection sensor and a forced direction detection sensor, and a fault information processor for acquiring signals of the sensor group and analyzing and diagnosing the signals of the sensor group. The signals detected by the sensor groupare transmitted to the fault information processor through cables, the hardware of the fault information processor acquires the signals, and then the corresponding software of the fault information processor performs analytical diagnosis and treatment. Because a plurality of groups of acceleration sensors arranged at a specific position for monitoring the dynamic condition of the tower under a running state are adopted, the technology not only can master the vibration displacement born by the tower along the direction of geographical coordinates, but also can effectively monitor various influences brought by torsional vibration caused by environmental factors and change caused by factors such as individual foundation of a tower body and the like. Simultaneously, aiming at the change factors, the fault information processor matched with the acceleration sensors warns in time within a range of ensuring the normal work of the tower. Therefore, the technology provides a technical support for ensuring the using safety of the tower and improving the service life.

The invention discloses a lane departure early warning method and a lane departure early warning device and belongs to the field of automobile safety. The method comprises the steps that video images are caught in real time; the caught images are processed, and an angle of left and right lane lines as well as the intersection point of the left and right lane lines and the image bottom edge in the images are obtained; whether a vehicle deviates from the lane or not is judged according to the angle between the left and right lane lines; and if the lane departure is determined, the warning information is output. The device comprises an image catching module, an image processing module, an angle judging module, an intersection point judging module and an output module. The method and the device have the advantage that the lane departure early warning is realized through the processing and the judgment on the angle and the intersection point of the lane lines.