CN103839346A - Intelligent door and window anti-intrusion device and system and intelligent door control system - Google Patents

Abstract

Disclosed is an intelligent door and window anti-intrusion device. The anti-intrusion device comprises an illumination device, a video collecting module, a comprehensive information collecting module, an alarm sending module, a signal processing module and an illumination control module. The intelligent door and window anti-intrusion device is characterized in that the illumination module provides an illumination light source for video collection of the video collecting module; the video collecting module begins to collect surrounding video information when the illumination module is started; the comprehensive information collecting module collects surrounding information in real time and provides the surrounding information for the signal processing module in real time; the illumination control module decides the illumination module to be started, and the illumination control module decides the illumination module to be started according to a processing result of the signal processing module on the surrounding information; the signal processing module distinguishes intrusion behaviors according to the video information and the surrounding information, and therefore whether the alarm sending module is started or not and whether an alarm signal is sent or not are decided. The invention further provides an anti-intrusion system and a door control system. The anti-intrusion device and system have comprehensive analysis capacity on information and intelligent recognition capacity on the intrusion behaviors, and false alarms are obviously reduced.

Description

A kind of intelligent door and window anti-intrusion device and system, intelligent access control system

Technical field

The present invention relates to a kind of anti-illegal invasion system, be specifically related to a kind of intelligent door and window anti-intrusion device, anti-intrusion system and intelligent access control system.

Background technology

We know, in order to avoid theft, the anti-theft device of camera and so on is located to install in general Hui community or outdoor corridor etc., monitoring and warning system that for example a kind of indoor occupant based on intelligent video is swarmed into, mainly by the intellectual analysis to camera image, realize the analysis to indoor place moving target, breaking in of personnel reached to timely discovery and warning, ignore the motion being safe from danger simultaneously, reduce false-alarm, also have a kind of Household intelligent anti-theft system, it is at least made up of antitheft door, mechanical lockset, window, terrace and balcony door.By being arranged on: the door net sensor on (1) antitheft door, antitheft door Magnetic Sensor, (2) be arranged on dead bolt sensor, key on lockset and insert/extract sensor, the pellet sensor of beating, (3) be arranged on the handling position sensor in outer handle subassembly, arrange from terrace simultaneously and enter the detecting area, balcony path balcony door passage, enter the detecting area, window path the passage in room from window, realize owner in identification at home automatically and robber's Smart Home burglary-resisting system.

There is following shortcoming in existing door and window anti-intrusion system:

1. there is defect separately in single anti-Intrusion Detection Technique, cannot normally work in some cases, once cannot normally work, whole detection system is in paralyzed state, the poor stability of system.As: intelligent video analysis detects the interference that may be subject to the irrelevant motions such as ambient light variation, mirror-reflection, causes a large amount of wrong reports; Rpyroelectric infrared detects the interference that is subject to temperature, high light, circumstance complication motion; Vibration detection is vulnerable to the external force such as wind and causes the interference of door and window generation of vibration; Glass breaking detects the interference that is vulnerable to external environment noise; Door magnetic detects needs door and window strictly closed, cannot use the in the situation that of ventilation in indoor needs, and as hot summer, user often needs the ventilation of windowing.

2. the ability that traditional anti-intrusion system cannot carry out anticipation to the behavior of setting foot-point before robber's crime, the pre-alerting ability of system is poor;

3. need to be after robber enters the room could trigger alarm, and can not be at the very first time trigger alarm of implementing crime, reduced the promptness of reporting to the police;

4. relate to a large amount of various sensors, Installation and Debugging are very complicated, and warning message is not directly perceived simultaneously, cannot learn field condition;

5. traditional warning system cannot be worked in the situation that cutting off external power supply, gives illegal invasion person with opportunity.

Summary of the invention

The object of the present invention is to provide a kind of intelligent door and window anti-intrusion system, solved existing anti-theft measure function singleness, rate of false alarm is high, reports to the police not in time and easy out-of-work problem.

For solving above-mentioned technical matters, the present invention by the following technical solutions:

A kind of intelligent door and window anti-intrusion device, described anti-intrusion device comprises lighting module, video acquisition module, integrated information acquisition module, warning sending module, signal processing module, lighting control module, it is characterized in that:

The video acquisition that described lighting module is video acquisition module provides lighting source;

Video information around described video acquisition module starts to gather in the time that lighting module is opened;

Described integrated information acquisition module Real-time Collection peripheral information, and offer in real time described signal processing module;

Described lighting control module determines the unlatching of lighting module, and wherein, described lighting control module decides described unlatching according to described signal processing module to the result of described peripheral information;

Described signal processing module is differentiated intrusion behavior according to described video information and described peripheral information, thereby determines whether start warning sending module, sends alerting signal.

Anti-intrusion device as above, is characterized in that:

Also comprise power management module, described anti-intrusion device is powered, described power management module connects external power supply and accumulator;

In the time of external power supply normal power supply, whole product uses external power supply;

In the time that external power supply is cut off, described accumulator is enabled as described anti-intrusion device power supply automatically.

As above arbitrary described anti-intrusion device, is characterized in that:

Described integrated information acquisition module comprises that audio collection module, heat discharge the one or more modules in infrared detection alarm module, vibration detection module, glass breaking detection module, door magnetic detection module;

Described peripheral information comprises voice messaging, infrared information, vibration information and glass breaking acoustic information, door magnetic information.

Anti-intrusion device as above, is characterized in that:

Described glass breaking detection module profit comprises glass breaking intrusion detector, and described detector effectively detects the glass breaking sound of high frequency, and the common acoustic signal of low frequency is had to stronger inhibiting effect.

As above arbitrary described anti-intrusion device, is characterized in that:

Illuminating lamp in described lighting module in the form of a ring, described heat discharges infrared detection alarm module, vibration detection module, video acquisition module, audio collection module and the warning sending module distributing installation outward flange at described illuminating lamp, and described signal processing module, power management module and switch control module are arranged on the inside of described illuminating lamp.

As above arbitrary described anti-intrusion device, is characterized in that:

Described glass breaking detection module, door magnetic detection module are transformed into voltage signal by wired or wireless communication mode by the information detecting respectively and export to described signal processing module.

As above arbitrary described anti-intrusion device, is characterized in that:

Described warning sending module is to adopt wired or wireless communication mode, and the alerting signal that signal processing module is sent is sent.

Anti-intrusion device as above, is characterized in that:

Described communication comprises 3G, WIFI, Zigbee, Bluetooth or other communication.

Anti-intrusion device as above, is characterized in that:

Described signal processing module is collected described heat and is discharged the signal that infrared detection alarm module, vibration detection module, glass breaking detection module, door magnetic detection module, video acquisition module and audio collection module transmit, comprehensively analyze, thereby complete described resolution intrusion behavior, and send alerting signal by described warning sending module.

As above arbitrary described anti-intrusion device, is characterized in that:

Described signal processing module comprises main process chip, and described main process chip adopts main core processing device and the Duo-Core Architecture pattern of being combined from core processor.

Anti-intrusion device as above, is characterized in that:

Described video information and described peripheral information that described main core processing device receiver, video acquisition module and integrated information detection module collect;

Described video information and described peripheral information form source signal and send to from core processor;

Described from core processor resolution intrusion behavior, form final decision signal.

Anti-intrusion device as above, is characterized in that:

Described resolution intrusion behavior mainly comprises operation audio-video intelligent analysis algorithm, differentiates in conjunction with other information in described peripheral information simultaneously.

The invention allows for a kind of intelligent intrusion-proof system, described system comprises memory module and as above arbitrary described anti-intrusion device; Described memory module establishes a communications link by mode and the described anti-intrusion device of wired or wireless communication, and the information of described anti-intrusion device collection is stored;

It is characterized in that:

Described resolution intrusion behavior comprises that the people to approaching anti-intrusion device carries out identification, and described identification is to have identified by recognition of face or other modes;

In carrying out described identification, the described peripheral information also integrated information acquisition module described in the time that people approaches anti-intrusion device being collected is analyzed;

Whether described signal processing module is analyzed based on described identification with to described peripheral information, forms decision signal, differentiate intrusion behavior and set up.

Intelligent intrusion-proof system as above, is characterized in that:

Described other modes are identified the mobile phone comprising by carrying and are carried out identification, and described anti-intrusion device and mobile phone communicate the identity of determining people.

Anti-intrusion system as above, is characterized in that:

Before carrying out described recognition of face, also comprise that face registers to form face database;

In described recognition of face, adopt HAAR feature to carry out face detection in conjunction with adaboost algorithm and realize face location;

Adopt two-layer human eye steady arm, obtain human eye location by adaboost algorithm, utilize face positioning result by image rotation, eyes to be proofreaied and correct and realized face standardization for level;

Carry out feature extraction by two-dimensional Gabor filter, utilize covariance between vector distance as matching measurement mode, realize facial image to be identified by nearest neighbor classification and mate with the facial image in described face database.

As above arbitrary described system, is characterized in that:

Described resolution intrusion behavior also comprises the action in described video information is detected to analysis.

System as above, is characterized in that:

Described to action detects analysis comprise background modeling and motion detection, goal verification, target following, behavioural analysis;

Described background modeling and motion detection, be that the mode that adopts multiple image to be averaging obtains background mean value, and the variance of background is initialized as to a constant, passes through formula

$f(x,y)=\left\{\begin{array}{cc}1& |f(x,y)-\mathrm{\μ}(x,y)|>N\×\mathrm{\σ}(x,y)\\ 0& \mathrm{else}\end{array}\right.$

By foreground detection by background pixels and prospect pixel separation, wherein 1 represents prospect pixel, 0 represents background pixels, in f (x, y) presentation video, (x, y) locates the gray-scale value of pixel, μ (x, y) represent corresponding background mean value, σ (x, y) represents the variance of corresponding background;

Described goal verification, by target size wave filter according to the foreground area of the discontented sufficient dimensional requirement of the size filtering of setting; By the highlighted target filter foreground area highlighted according to setting threshold filtering; Foreground area is done to gradient difference with corresponding background, by time domain filtering, motion continuity, motion conspicuousness and area change continuity are carried out respectively to filtering;

Described target following, according to present frame and before the location estimation target of target in the position of next frame, pass through formula

$v_t^x=\frac{\underset{n=0}{\overset{N-2}{\mathrm{\Σ}}}(x_{t-n}-x_{t-n-1})}{N-1}$

$v_t^y=\frac{\underset{n=0}{\overset{N-2}{\mathrm{\Σ}}}(x_{t-n}-x_{t-n-1})}{N-1}$

To estimating target speed realize target position prediction, wherein

with

represent respectively the speed of t moment target in x direction and y direction, N is time window, xt-n and yt-n represent respectively horizontal ordinate and the ordinate at the extraneous rectangle frame of t-n moment target center, and in like manner xt-n-1 and yt-n-1 represent respectively horizontal ordinate and the ordinate at the extraneous rectangle frame of t-n-1 moment target center;

Described behavioural analysis, is set alarm region and corresponding rule and is realized the judgement of specific behavior by user.

As above arbitrary described system, is characterized in that:

Described peripheral information analysis is comprised to the voice messaging that described audio collection module is collected detects analysis, will extract from the background audio information of numerous and jumbled signal as a setting as foreground signal differentiating the helpful voice messaging of invasion.

System as above, is characterized in that:

Described voice messaging is detected to analyze and comprises:

Obtain the power spectrum density of the sound signal in described voice messaging, if the sampling rate of sound signal X (t) is fs, X (t) is passed through to pre-emphasis successively, point frame and windowing process, before processing, signal first removes average, adopt the period map method in classical spectrum estimate, use Fast Fourier Transform (FFT) FFT to realize, finally obtain normalized power spectrum X (t) (fn), wherein n ∈ [1, N], N is sampling number, t represents sampling instant;

Adopt sub belt energy ratio A i (t) to describe power spectrum density, utilize formula

calculate the ratio that sub belt energy ratio A i (t) is defined as sub belt energy and gross energy, wherein U (i) and L (i) represent that coboundary and the lower boundary of subband i are M subband according to logarithm by frequency band division here;

Mixed Gaussian background modeling and sound detection based on sub belt energy ratio, the probability distribution of mixed Gaussian background modeling hypothesis signal intensity can be used K Gauss Distribution Fitting, and the probability distribution of sound signal is expressed as

$\mathrm{prob}\left(x\right)=\underset{i=1}{\overset{K}{\mathrm{\Σ}}}{\mathrm{\ω}}_i{\mathrm{\η}}_i(x,{\mathrm{\μ}}_i,{\mathrm{\σ}}_i)$

Each Gaussian distribution η i (x in model, μ i, σ i) gives a weights omega i, wherein μ i and σ i represent respectively average and the standard deviation of Gaussian distribution, multiple Gaussian distribution obtain the probability distribution of signal by linear combination, by front B Gaussian distribution model as a setting, remaining Gaussian distribution is as foreground model, wherein $B={\arg \min }_b(\underset{n=1}{\overset{b}{\mathrm{\Σ}}}{\mathrm{\ω}}_n\left(x\right)>T)$

Current demand signal amplitude is mated with a front B Gaussian distribution, and if any one Gaussian distribution wherein the match is successful, this signal is background signal, otherwise is foreground signal.

As above arbitrary described system, is characterized in that:

Described system is carried out described identification, described peripheral information is analyzed, and forms decision signal, and whether resolution intrusion behavior is set up and comprised the steps:

The first step, collect digital video signal by described video acquisition module, collect digital audio and video signals by described audio collection module, discharging infrared detection alarm module by heat collects external heat temperature information and changes voltage signal into, collect extraneous vibration by vibration detection module and produce the information of deformation or stressed transformation and change voltage signal into, collect glass breaking and door magnetic change information and change voltage signal into by glass breaking detection module and door magnetic detection module;

Second step, described signal processing module receives the voltage signal of heat release infrared detection alarm module, vibration detection module, glass breaking detection module and door magnetic detection module, and in conjunction with audio-video intelligent analysis, complete identification, identity based on identification is carried out the generation of synthetic determination intrusion behavior, in the time there is intrusion behavior, send alerting signal;

The 3rd step, warning sending module is received alerting signal, and sends warning message by wired or wireless mode to outside.

System as above, is characterized in that:

Warning sending module receives that alerting signal sends warning message to outside and comprise:

Warning sending module receives described digital video signal and described digital audio and video signals, and described digital video signal is sent together with alarm signal with described digital audio and video signals.

The invention allows for a kind of intelligent access control system, described intelligent access control system comprises as above arbitrary described intelligent intrusion-proof system, described intelligent access control system utilizes described intelligent intrusion-proof system to complete described identification, described peripheral information is analyzed, whether identification is that guest visits, and the information automatically visiting guest being arrived sends to mobile or fixed terminal.

Intelligent access control system as above, is characterized in that:

Whether described identification is that guest visits and comprises the steps:

The first step, collect digital video signal by described video acquisition module, collect digital audio and video signals by described audio collection module, discharging infrared detection alarm module by heat collects external heat temperature information and changes voltage signal into, collect extraneous vibration by vibration detection module and produce the information of deformation or stressed transformation and change voltage signal into, collect glass breaking and door magnetic change information and change voltage signal into by glass breaking detection module and door magnetic detection module;

Second step, signal processing module receives heat and discharges the voltage signal of infrared detection alarm module, vibration detection module, glass breaking detection module and door magnetic detection module, and determines whether that in conjunction with audio-video intelligent analysis guest visits;

The 3rd step, if there is the visit generation of behavior of guest, by wireless mode, visitor is sent to the mobile or fixed terminals such as the indoor master cellular phone of being in automatically at video or photographic intelligence outdoors, and activated terminals provides ring, vibrations or voice message.

Compared with prior art, the invention has the beneficial effects as follows: intelligent door and window anti-intrusion system of the present invention adopts rpyroelectric infrared to detect, vibration detection, audio detection, glass breaking detects and door magnetic detection technique, find by multidimensional detection mode the illegal invasion behavior that door and window region may exist, can accurately tell is illegal invasion, guest's visiting still householder is come in and gone out normally, be carrier by audio frequency and video or picture in real time, alerting signal directly perceived is by wired or wireless communication means, the very first time is sent to the mobile phone such as householder, cell monitoring computing machines etc. are reported to the police and are received and processing terminal, also warning lamp links simultaneously, warning signal realizes site of the accident sound and light alarm, or other associate device links, native system is installed on outdoorly in addition, can at utmost illegal invasion be eliminated before its actual generation, than traditional warning system, the present invention also carries standby power supply, in the situation that cutting off external power supply, can, for self powering 2-24 hour, still can complete anti-intrusion detection in sensitization time section.

Accompanying drawing explanation

Fig. 1 is the connection diagram of an embodiment of intelligent door and window anti-intrusion system of the present invention.

Fig. 2 is the hardware connection diagram of intelligent door and window anti-intrusion system of the present invention.

Fig. 3 is the software architecture diagram of the bright intelligent door and window anti-intrusion system of the present invention.

Fig. 4 is primary processor end schematic flow sheet in the signal processing module of intelligent door and window anti-intrusion system of the present invention.

Fig. 5 is from processor end schematic flow sheet in the signal processing module of intelligent door and window anti-intrusion system of the present invention.

Fig. 6 is face registration and the recognition of face schematic flow sheet of intelligent door and window anti-intrusion system of the present invention.

Fig. 7 is the moving object detection and tracking schematic flow sheet based on video of intelligent door and window anti-intrusion system of the present invention.

Fig. 8 is the audio detection schematic flow sheet of intelligent door and window anti-intrusion system of the present invention.

When being the face standardization of intelligent door and window anti-intrusion system of the present invention, Fig. 9 analyzes schematic diagram to accessing facial image.

Embodiment

In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.

Fig. 1 shows an embodiment of a kind of intelligent door and window anti-intrusion system of the present invention: a kind of intelligent door and window anti-intrusion system, comprises

Video acquisition module, adopt video sensor to gather video stream signal, complete the digitizing of picture signal, the pre-service of picture signal, being met the digital video signal of signal processing module requirement and exporting its concrete detection mode to signal processing module can be domain mode or curtain mode;

Audio collection module, completes the digital-to-analog conversion of voice signal, and the sample code of voice signal and filtering processing are met the digital audio and video signals of signal processing module requirement and export to signal processing module;

Heat discharges infrared detection alarm module, the difference of the temperature of inducing moving objects and background object, and in the time of human motion, heat is released the infrared different information that can sense human body temperature and ambient temperature, converts the output of voltage signal backward signal processing module to;

Vibration detection module, produces extraneous vibration deformation or is subject to force information to change voltage signal into, exports to signal processing module;

Glass breaking detection module and door magnetic detection module, be transformed into voltage signal by wired or wireless communication mode by corresponding information and export to signal processing module;

Signal processing module, collect heat and discharge the signal that infrared detection alarm module, vibration detection module, video acquisition module and audio collection module transmit, comprehensively analyze, differentiate illegal invasion or guest visiting, send alerting signal or send visitor's the information such as photo to the owner that is in to warning sending module respectively;

Warning sending module, adopt wired or wireless communication mode, be mainly used in receiving the alerting signal that signal processing module sends and send warning message to householder's mobile phone or cell management center, can adopt one of wired, 3G, WIFI, Zigbee, Bluetooth or other communication;

Power management module, connect external power supply and accumulator, in the time of external power supply normal power supply, whole product uses external power supply, in the time of extraneous power cut-off, inner standby battery is enabled automatically, guarantees that above-mentioned each module continues normally to work after external power interruption, preferably guarantees the video camera 2-24 hour that works on after external power interruption.

In Fig. 1, can find out, invention is arranged on ring like light fitting, described heat release infrared detection alarm module, vibration detection module, video acquisition module, audio collection module and warning sending module are arranged on the outward flange of ring like light fitting, and the switch lamp control module of described signal processing module, power management module and barrel type lamp itself is arranged on the middle part of barrel type lamp.Described switch lamp control module can be in conjunction with vibration, sound, and the infrared signal that waits judges whether that someone enters, if there is people to enter, turn on lights optical illumination, for subsequent video collection provides ambient lighting.We are the appearance that whole system are made into similar illuminating lamp, the mutual set of system and lamp, native system well can not only be stashed, prevent that lawless person from destroying this intelligent door and window anti-intrusion system, can also carry out light filling to the camera of video acquisition module in system, make the video information of collection more clear, in the time that ambient light illumination is not enough, provide secondary light source to video acquisition module, guarantee that it still can collect effective view data under the environment of low-light (level).

Fig. 2 shows a preferred embodiment of a kind of intelligent door and window anti-intrusion system of the present invention, signal processing module, and main process chip adopts main core processing device and the Duo-Core Architecture pattern of being combined from core processor.Main core processing device mainly completes the collection of digital video signal and digital audio and video signals, audio/video coding, collect the signal of heat release infrared detection alarm module output and the signal of vibration detection module output, receive the signal that glass breaking detection module and door magnetic detection module send, source signal is sent to from core processor together with audio, video data; Carry out judgement and householder's authentication of intrusion behavior from core processor, wherein intrusion behavior judgement mainly comprises operation audio-video intelligent analysis algorithm, judge whether to exist intrusion behavior by video and sound, the signal that the signal of simultaneously exporting in conjunction with heat release infrared detection alarm module, the signal of vibration detection module output, glass breaking detection module and door magnetic detection module send, forms final decision signal.

As shown in Figure 3, software is mainly by signals collecting, and signal analysis, reports to the police and send and interlock control three parts compositions.Signals collecting and the transmission of reporting to the police operate in main core processing end, and signal analysis operates in from core end for process.Signals collecting interface has comprised audio-video collection module, rpyroelectric infrared alerting signal acquisition module, vibration alarming signal acquisition module, glass breaking detection module and door magnetic detection module and wireless alarm signal acquisition module.It is synchronous that main core processing end completes collection and the time delay of switching value alerting signal, is sent to from core end for process together with audio-video signal.Complete intelligent audio frequency and video analysis from core end for process, multi-source alert information fusion and decision-making, complete the confirmation of householder's identity by recognition of face mode or wireless WIFI mode, if user identification confirmation failure, sends warning/early warning signal to main core processing end in the time intrusion behavior being detected, main core processing end is sent and reports to the police and interlock control information to exterior terminal by warning sending module.

As shown in Figure 4, main core processing end software flow:

After system powers on, first complete the initialization of master chip main core processing end, next complete peripheral collecting device, communication facilities initialization, starts main core processing program.Create audio-video collection thread, rpyroelectric infrared detection thread, wireless receiving thread, communication thread, warning send-thread.

Audio-video collection thread: combine a frame multi-source data after audio, video data when receiving, comprise the mark whether video data, voice data, various sensor warning intensity and user mobile phone exist, putting into FrameBuffer calls for communication thread, complete pre-recording of audio frequency and video, to warning message is provided simultaneously.

Alerting signal collecting thread: receive the switching value alarm signal A i of the alarm sensor of various wired or wireless accesses, wherein Ai can be rpyroelectric infrared alerting signal, vibration alarming signal, glass breaking alerting signal, door magnetic alerting signal etc.

Communication thread: receive the alerting signal of sending from core processor end, notice warning send-thread.If there is a frame multi-source data in FrameBuffer, these data are sent to DSP end.

Warning send-thread: receive after alerting signal, organize relevant warning message, as the audio frequency and video of pre-recording, pictures etc., send to exterior terminal.

As shown in Figure 5, from core processor end software flow:

First after main core processing device end starts, multitask kernel and application program are loaded into from core processor internal memory, complete a series of initialization from core processor, automatically create communication thread and recognition of face thread.First communication thread judges whether to send warning/early warning signal, if it is send warning/early warning signal to main end for process, otherwise judge whether to receive a frame multi-source information, wherein multi-source information comprises: audio, video data, the mark whether various sensor alerting signals and user mobile phone exist, multi-source information is put into frame buffer FrameBuffer, send confirmation of receipt signal to main end for process simultaneously, show from end for process working properly.Recognition of face thread takes out video data and completes recognition of face from FrameBuffer, if recognition of face success, the mark of set identity validation.Intrusion detection thread reads frame data from FrameBuffer, by audio analysis, and vibration information, infrared information judges whether that someone will enter guarded region, if it is open illumination, for ensuing video analysis provides ambient lighting, facilitate householder to open the door simultaneously.After opening illumination, setting in motion detects, and owing to being only concerned about this behavior of entering, so need to carry out direction of motion judgement, when being judged as while entering direction, target is followed the tracks of.In the time that target life period is greater than setting-up time, be illustrated as a suspect, if the failure of WIFI mode identity validation, system can be cooperated with on one's own initiative and be carried out recognition of face by voice message, if authentication failure triggers intrusion behavior and reports to the police, sends warning/early warning signal to ARM end.

Fig. 6 shows another preferred embodiment of a kind of intelligent door and window anti-intrusion system of the present invention, the judgement of householder's identity comprises recognition of face or at user mobile phone, WIFI communication software is installed, video acquisition module is communicated by letter and is carried out identity validation by WIFI with user mobile phone, and the method for wherein said recognition of face mainly comprises following part:

Face registration, the front face photo of the different angles of collection same person, is located and is found the position of face in image by face, and standardization face size, face angle and illumination, the feature of extraction standardization facial image, typing registered user database;

Recognition of face, adopt HAAR feature to realize face detection in conjunction with adaboost algorithm and realize face location, adopt two-layer human eye steady arm, all to obtain human eye location by adaboost algorithm, utilize face positioning result by image rotation, eyes to be proofreaied and correct and realized face standardization for level, carry out feature extraction by two-dimensional Gabor filter, utilize covariance between vector distance as matching measurement mode, realizes mating of the facial image inquired about and database facial image by nearest neighbor classification.Wherein Adaboost algorithm is combined as a strong classifier by Weak Classifier general a large amount of classification capacities according to the mode of training error index decreased.Provide the weak typing feature of magnanimity and HAAR is characterized as adaboost algorithm, guaranteed that adaboost algorithm totally finds the weak typing of excellent performance.Detect in implementation process at face, the use of integration histogram and cascade classifier greatly reduces the processing time in guaranteeing compared with high measurement accuracy; Human eye is generally divided into two-layer location when the location, and wherein ground floor is coarse positioning, and locating area has been selected including the most of ocular eyes eyebrow, and the second layer is accurately to locate, and locating area only comprises ocular.Coarse positioning device than precise localizer owing to having comprised area information more, therefore the stability of location is higher, substantially do not have larger position deviation, and precise localizer can realize the accurate location of human eye, the interference that is still easily subject to eyebrow, canthus causes location mistake.On the basis of coarse positioning, determine the approximate location scope of human eye by geometric proportion relation, within the scope of this, use precise localizer to realize the accurate location of human eye.By by slightly to smart locator meams, reduced the impact on location such as eyebrow, canthus, improved the accuracy of location; And face standardization is a step very crucial in recognition of face, the quality of standardization result has directly affected the precision of recognition of face.Face standardization mainly completes geometry correction and the gamma correction of facial image.Utilize the result of previous step human eye location to be easy to realize the geometry correction of facial image, first by image rotation, eyes are proofreaied and correct as level, facial image is intercepted apart from d by eyes.As shown in Figure 9, wherein finally scale the images to 80x80 pixel.

Gamma correction is mainly to eliminate to a certain extent the impact of uneven illumination on follow-up identification.Mainly comprise plane of illumination matching, deduction plane of illumination, histogram equalization and gray-scale value normalize to zero-mean, unit variance.Here suppose that plane of illumination is a plane.Point on plane of illumination meets following formula: IP (x, y) it is x=Np that=ax+by+c is write as matrix form, the column vector that wherein the picture element gray-scale value of x presentation video is lined up, N represents the coordinate that picture element is corresponding, first row represents horizontal ordinate, secondary series represents ordinate, and the 3rd row are filled 1, p=[a b c] ^t.Plane parameter a, b, c can try to achieve by the mode of linear regression, i.e. p=(N ^tn) ^-1n ^tx.

Can select Gabor wavelet character, Gabor conversion has excellent performance aspect analysis image regional area texture.Two-dimensional Gabor filter

can be expressed as:

$\mathrm{\ψ}\left(\stackrel{\→}{x}\right)=\frac{\left|\right|\stackrel{\→}{k}\left|\right|}{{\mathrm{\σ}}^2}\exp (-\frac{{\left|\right|\stackrel{\→}{k}\left|\right|}^2{\left|\right|\stackrel{\→}{x}\left|\right|}^2}{{2\mathrm{\σ}}^2})[\exp \left(i\stackrel{\→}{k}\stackrel{\→}{x}\right)-\exp (-\frac{{\mathrm{\σ}}^2}{2})]$

Wherein

for image coordinate, for the centre frequency of wave filter, k _xand k _yrepresent respectively

in the projection of transverse axis and the longitudinal axis,

for the direction of wave filter, u and v represent different values,

for Gaussian envelope,

for complex values plane wave.Two-dimensional Gabor filter is modulated the sinusoidal wave Planar realization of characteristic frequency and direction by two-dimensional Gaussian function, realize the analysis of different scale and different directions image texture by changing the frequency of sinusoidal wave plane and direction.

Obtained the facial image of 80x80 size by face standardization, here 5 wave filter yardsticks have been selected, 8 filtering directions, obtain the Gabor wave filter of 40 different directions and frequency, a facial image is obtained to 40 magnitude image after Gabor wavelet transformation after by wave filter convolution, and the Gabor intrinsic dimensionality finally obtaining is 163840.The speed that can greatly reduce discriminator in the proper vector of such higher-dimension, therefore needs proper vector to carry out dimensionality reduction.Here adopt the even down sample realization character of 4x4 dimensionality reduction.

Adopt nearest neighbor classification to realize the facial image of inquiry and mating of database facial image, the covariance distance between employing vector, simultaneously can be by covariance apart from weighing final confidence level of mating as matching measurement mode.

Another preferred embodiment of a kind of intelligent door and window anti-intrusion system according to the present invention, signal processing module

Be connected with memory module (Storage), for different applicable cases, can use dissimilar storage medium, SD and TF cartoon are crossed SDIO and are controlled, and the storage medium of this type is convenient for changing; Nand controls by Nandflash, and this type integrated level is high, but is not easy to change storage medium; SSD is by PCI-E or the control of SATA interface, and this type storage space can be accomplished very large;

Be provided with Ethernet interface (RJ45);

Be connected with external power supply (DC IN) and battery (Battery) by power management module (Power manager);

Be connected with the internal memory (DDR) for master cpu operation;

Be connected with the flash memory (Flash) for storage system start-up routine, configuration parameter, log information;

Be connected with wireless module (3G, WIFI), for the transmission of audio, video data and remote control signal;

Be connected with wireless module (zigbee, Blue tooth or other wireless modules), the alerting signal sending for receiving distributed alarming device, as glass breaking signal and door magnetic opening signal, also can send control information to miscellaneous equipment.

Be connected with by external warning lamp, warning signal interlocking equipment, realizes local sound and light alarm, or controls the interlink warning module of other associate device.

Fig. 7 shows another preferred embodiment of a kind of intelligent door and window anti-intrusion system of the present invention, and the detection method of video acquisition module is mainly divided into background modeling and motion detection, goal verification, and target following and behavioural analysis four parts, wherein

Described background modeling and motion detection, be that the mode that has adopted multiple image to be averaging obtains background mean value, and the variance of background is initialized as to a constant, passes through formula

$f(x,y)=\left\{\begin{array}{cc}1& |f(x,y)-\mathrm{\μ}(x,y)|>N\×\mathrm{\σ}(x,y)\\ 0& \mathrm{else}\end{array}\right.$

By foreground detection, by background pixels and prospect pixel separation, wherein 1 represents prospect pixel, and 0 represents background pixels.In f (x, y) presentation video, (x, y) locates the gray-scale value of pixel, and μ (x, y) represents corresponding background mean value, and σ (x, y) represents the variance of corresponding background,

If large area prospect pixel detected, system thinks that variation may occur scene, at this moment closes follow-up analysis, if large area prospect pixel all detected for a long time, system thinks that variation has occurred scene really, at this moment restarts background modeling.

The context update strategy that the renewal of the background of native system has adopted based target aspect and combined based on pixel aspect.In the time that picture element is detected as background dot, adopt the context update based on pixel aspect, adopt single Gaussian Background update method here, comprise the renewal of background mean value and the renewal of background variance, shown in following formula:

μ _t(x,y)=(1-α)×μ _t-1(x,y)+f _t(x,y)×α

${\mathrm{\σ}}_t^2(x,y)=\max (\mathrm{\Δ},(1-\mathrm{\α})\×{\mathrm{\σ}}_{t-1}^2(x,y)+{(f_t(x,y)-{\mathrm{\μ}}_t(x,y))}^2\×\mathrm{\α})$

Wherein subscript t represents the t moment, and α, for upgrading the factor, is generally a very little value, as 0.01.Here clamper the minimum value of variance be Δ, prevent that model from too restraining, cause model noise resisting ability to weaken, the value of Δ is 36 here.

In the time that picture element is detected as foreground point, if judge that by Target Segmentation picture element is not target pixel point, adopt the context update based on pixel aspect, detect as prospect picture element for a long time if this picture element is interior at a fixed time, be updated in background disposable picture element; If judge that by Target Segmentation picture element is target pixel point, adopt the background update method of based target aspect, only have the target of judgement in the time not moving for a long time, just can be by disposable being updated in background of region picture element at target place.

Described goal verification, be discontented with the foreground area of sufficient dimensional requirement according to the size filtering of setting by target size wave filter, by the highlighted target filter foreground area highlighted according to setting threshold filtering, by time domain filtering, motion continuity, motion conspicuousness and area change continuity are carried out respectively to filtering.Wherein highlighted target filter: the foreground area that filtering is highlighted, these foreground area may be the interference such as light source or reflective medium.The determination methods of highlighted foreground area: if the ratio of highlighted pixel exceedes setting threshold in foreground area, think that this foreground area is highlighted foreground area; Time domain filtering: time-domain filtering is the filtering of based target aspect, need to be by target following technology.Comprise: motion continuity filtering, the filtering of motion conspicuousness, the filtering of area change continuity.Motion continuity filtering: hypothetical target is that large area is overlapping in the occupied region of front and back two frames, and can not undergo mutation in the position of target.Motion conspicuousness filtering: the motion of hypothetical target is to have certain directivity, the vector of a period of time internal object displacement add and add with the scalar of displacement of targets and ratio should be greater than certain threshold value.Area change continuity filtering: the area of hypothetical target is metastable, can not undergo mutation.

The tracking of described target, employing has adopted the target following based on motion detection, on the basis of motion detection by the target association of interframe, form the movement locus of target, for succeeding target behavioural analysis provides foundation, according to present frame and before the location estimation target of target in the position of next frame, pass through formula $v_t^x=\frac{\underset{n=0}{\overset{N-2}{\mathrm{\Σ}}}(x_{t-n}-x_{t-n-1})}{N-1}$ With $v_t^y=\frac{\underset{n=0}{\overset{N-2}{\mathrm{\Σ}}}(x_{t-n}-x_{t-n-1})}{N-1}$ To estimating target speed realize target position prediction, wherein

with represent respectively the speed of t moment target in x direction and y direction, N is time window, x _t-nand y _t-nrepresent respectively horizontal ordinate and the ordinate at the extraneous rectangle frame of t-n moment target center, in like manner x _t-n-1and y _t-n-1table respectively ^showhorizontal ordinate and the ordinate at the extraneous rectangle frame of t-n-1 moment target center.Feature selecting aspect has been selected two features of center C of relatively stable reliable target area S and target boundary rectangle frame here, and target association coupling just can find the position of former frame target at present frame, the location of realize target.According to correlation tracking principle, as long as guarantee in the situation of enough image sampling rates, the change in location of same target between adjacent two frames is not too large, therefore the hunting zone of target can be limited to a less distance range, also greatly reduces the risk of mistake coupling simultaneously.Utilize

formula, present frame target

with target to be matched

while meeting following formula, just carry out characteristic matching, wherein γ is detection range threshold value, need to determine according to actual scene.

The criterion of coupling, shown in following formula:

$\arg \min (\mathrm{\&omega;}\&times;\left(\frac{\mathrm{dist}\left(O_t^j\right\{C\},O_{t-1}^i\{C\left\}\right)}{\mathrm{\&gamma;}}\right)+(1-\mathrm{\&omega;})\&times;\frac{\left|O_t^j\right\{S\}-O_{t-1}^i\{S\left\}\right|}{O_{t-1}^i\left\{S\right\}})<T$

The weight factor that wherein ω is feature, gets 0.5 here, is provided with the error upper limit T of coupling here, prevents mistake coupling, gets 0.4 here.

The renewal of target signature all adopts the mode that single order is level and smooth to upgrade, shown in following formula:

$O_t^i\left\{F\right\}=\mathrm{\&alpha;}\&times;O_{t-1}^i\left\{F\right\}+(1-\mathrm{\&alpha;})\&times;O_t^i\left\{F\right\},F=\{S,C\}$

Wherein α, for upgrading the factor, gets 0.2 here.

Described behavioural analysis, is set alarm region and corresponding rule and is realized the judgement of specific behavior by user.For example can be set to a region by alarm region, the residence time exceed setting value if enter the people in this region, think possible intrusion behavior, trigger alarm.Also can be the surveyed area of hovering by the larger region division at door place, the residence time exceed setting value if enter the people in this region, think the possible behavior of setting foot-point, trigger early warning.

Fig. 8 shows another preferred embodiment of a kind of intelligent door and window anti-intrusion system of the present invention, the detection method of audio collection module,

Intrusion detection flow process based on sound is as shown below, the sound signal obtaining by audio collecting device, first carry out pre-service, mainly comprise pre-emphasis, divide frame and windowing, meet the needs of follow-up spectrum analysis and identification, next adopt mixed Gauss model to set up background sound model, beginning sound detection after modeling completes, in the time detecting the abnormal noise that occurs being different from background sound in scene, warning intensity starts to add up, if warning intensity is greater than setting threshold, illustrates and have intrusion behavior, trigger alarm, specific as follows

Obtain the power spectrum density of sound signal, the sampling rate of establishing sound signal X (t) is f _s(for example getting 48kHz), passes through pre-emphasis successively by X (t), point frame and windowing process, (frame length is 48K sampled point, frame moves as 24K sampled point, and window function is selected Hanning window), before processing, signal first removes average, avoid DC component to exert an influence near the spectral line place of ω=0, adopt the period map method in classical spectrum estimate, use Fast Fourier Transform (FFT) FFT to realize, finally obtain normalized power spectrum X ^(t)(f _n), wherein n ∈ [1, N], N is sampling number, t represents sampling instant, (when sampling rate is f _s=48kHz, the value of N is 48000, for subsequent analysis, calculated amount is larger), adopt sub belt energy ratio

describe power spectrum density, utilize formula calculate sub belt energy ratio

be defined as the ratio of sub belt energy and gross energy, wherein U (i) and L (i) represent that coboundary and the lower boundary of subband i are that M subband (worked as M=10, f according to logarithm by frequency band division here _swhen=48kHz, corresponding subband border is 0.023kHz, 0.046kHz, 0.093kHz, 0.187kHz, 0.375kHz, 0.750kHz, 1.5kHz, 3kHz, 6kHz, 12kHz and 24kHz);

Mixed Gaussian background modeling and sound detection based on sub belt energy ratio, the probability distribution of mixed Gaussian background modeling hypothesis signal intensity can be used K Gauss Distribution Fitting, and the probability distribution of sound signal is expressed as each Gaussian distribution η in model _i(x, μ _i, σ _i) all give a weights omega _i, wherein μ _iand σ _irepresent respectively average and the standard deviation of Gaussian distribution, multiple Gaussian distribution obtain the probability distribution of signal, ω by linear combination _iembody the attention degree of model for i Gaussian distribution, in the amplitude of signal in a period of time drops on this Gaussian distribution time, ω _ivalue can increase gradually, otherwise ω _ican reduce gradually.σ has reflected the convergence of Gaussian distribution, for one be tending towards convergence Gaussian distribution, amplitude should be less around the fluctuation of average, σ is also less, such Gaussian distribution be just applicable to description background variation.K Gaussian distribution be according to the descending sort of ω/σ, arranges forward Gaussian distribution and can represent the distribution of background, and by front B Gaussian distribution model as a setting, remaining Gaussian distribution is as foreground model, wherein

current demand signal amplitude is mated with a front B Gaussian distribution, and if any one Gaussian distribution wherein the match is successful, this signal is background, otherwise be foreground signal, utilization | I (x, t)-μ _i(x, t-1) | <c × σ _i(x, t-1) mates.

Another embodiment of a kind of intelligent door and window anti-intrusion system according to the present invention, the anti-intrusion method of intelligent door and window anti-intrusion system, step is as follows:

The first step, collect digital video signal by video acquisition module, collect digital audio and video signals by audio collection module, discharging infrared detection alarm module by heat collects external heat temperature information and changes voltage signal into, collect extraneous vibration by vibration detection module and produce the information of deformation or stressed transformation and change voltage signal into, collect glass breaking and a door magnetic change information by glass breaking detection module and a door magnetic detection module and close and change voltage signal into;

Second step, signal processing module receives the voltage signal of heat release infrared detection alarm module, vibration detection module, glass breaking detection module and door magnetic detection module, and in conjunction with audio-video intelligent analysis, mastership identification checking, the generation of synthetic determination intrusion behavior, in the time there is intrusion behavior, send alerting signal;

The 3rd step, warning sending module is received alerting signal, receiver, video acquisition module is collected digital video signal and is collected digital audio and video signals by audio collection module simultaneously, and is transferred to external management terminal or handheld terminal by wired or wireless mode.

Another embodiment of a kind of intelligent door and window anti-intrusion system according to the present invention, its method that is used as visual entrance guard of intelligent door and window anti-intrusion system is as follows:

The first step, collect digital video signal by video acquisition module, collect digital audio and video signals by audio collection module, discharging infrared detection alarm module by heat collects external heat temperature information and changes voltage signal into, collect extraneous vibration by vibration detection module and produce the information of deformation or stressed transformation and change voltage signal into, collect glass breaking and a door magnetic change information by glass breaking detection module and a door magnetic detection module and close and change voltage signal into;

Second step, signal processing module receives the voltage signal of heat release infrared detection alarm module, vibration detection module, glass breaking detection module and door magnetic detection module, and determine whether that in conjunction with audio-video intelligent analysis guest visits, if there is the visit generation of behavior of guest, by wireless mode, visitor is sent to the mobile or fixed terminals such as the indoor master cellular phone of being in automatically at video or photographic intelligence outdoors, and activated terminals provides ring, vibrations or voice message.

In the present invention:

The intelligent video analysis technology that video acquisition module is utilized, adopt computing machine, Embedded Double core processor etc. from video by computing and analysis, extract a technology of useful information in video.This technology, by the powerful data-handling capacity of various processors, is carried out high speed analysis to the mass data in video pictures, filters out the unconcerned information of user, only provides the key message of use for user.

The rpyroelectric infrared detection technique that infrared detection alarm module utilizes, i.e. the one of passive infrared detection, the difference of the temperature of inducing moving objects and background object.In guarded region, during without human motion, the just ambient temperature that pyroelectric infrared sensor senses, in the time that human body enters region, the infrared ray of human-body emitting gathers on pyroelectric infrared sensor after strengthening by Fresnel Lenses, and the pyroelectricity element senses in rpyroelectric infrared is to the difference of human body temperature and ambient temperature, temperature changes, lose charge balance, outwards discharge electric charge, after subsequent conditioning circuit Check processing, produce alerting signal.

The vibrating burglar alarm technology that vibration detection module is utilized: adopt piezoelectric ceramic sheet as sensor, extraneous vibration is produced to deformation or the stressed voltage signal that changes into, complete the transmission of alerting signal and stop by follow-up auxiliary circuit.

Glass breaking detects the glass breaking detection technique that detection module utilizes: utilize the piezoelectric effect of piezoelectric ceramic piece, can make glass breaking intrusion detector.Glass breaking sound (10k～15kHZ) to high frequency effectively detects, and the voice signal below 10kHZ (as the sound of speaking, walk) is had to stronger inhibiting effect.Conventionally, together with just acoustic control is surveyed two kinds of technical combinations with vibrations, only have the high-frequency sound signal sending while simultaneously detecting glass breaking and knock the vibrations that glass causes, just output alarm signal.

The door magnetic detection technique that door magnetic detection module utilizes: formed by two parts: the tongue tube of permanent magnet and open type, permanent magnet is used for producing constant magnetic field, in the time that permanent magnet and tongue tube lean on very closely, door status sensor is in work stand-by state, when permanent magnet leaves after tongue tube certain distance, in normally open, trigger alarm.

Native system workflow is:

User can open or close warning function as required, the mode detecting can select video detection, audio detection, rpyroelectric infrared to detect, vibration detection, glass breaking detects, one or more during door magnetic detects, as window area adopts, rpyroelectric infrared detection, vibration detection, glass breaking detect, door magnetic detects, and door region adopts video detection, audio detection, rpyroelectric infrared detection, vibration detection, door magnetic to detect.Warning message can be video, one or more in audio frequency or picture.

(1) after system powers on or resets, signal processing module is load operation system and application program from FLASH, completes initialization to main process chip and the configuration of peripheral hardware, next completes the initialization to each subsystem, finally enters normal operating conditions.

(2) audio-video signal and the heat at the continuous acquisition monitoring of the primary processor end scene of main process chip are released infrared detection signal, receive the alerting signal of other distributed alarming sensor by wireless receiving module simultaneously, multi-source data is sent into from processor end and analyzed, carry out audio frequency and video simultaneously and pre-record.If receive warning or early warning signal from processor end, by the audio frequency and video of pre-recording, send on cell monitoring center or householder's mobile phone by alerting signal sending module together with the photo of capturing.

(3) main process chip move the judgement of intelligent audio frequency and video analytical algorithm and intrusion behavior from processor end.By audio analysis, vibration information, infrared information judges whether that someone will enter guarded region, if it is opens illumination, for ensuing video analysis provides ambient lighting, facilitates householder to open the door simultaneously.After opening illumination, setting in motion detects, and owing to being only concerned about this behavior of entering, so need to carry out direction of motion judgement, when being judged as while entering direction, target is followed the tracks of.In the time that target life period is greater than setting-up time, be illustrated as a suspect, if the failure of WIFI mode identity validation, system can be cooperated with on one's own initiative and be carried out recognition of face by voice message, if authentication failure triggers intrusion behavior and reports to the police, sends warning/early warning signal to primary processor end.

(4) Surveillance center and householder receive after early warning or warning, can confirm by the warning message of sending back, and take counter-measure.

Experiment:

The installation of native system: inhale top and install, guarantee that monitoring range can cover whole door region and region, part passageway in front of the door, adjusting shooting angle guarantees can obtain approximate positive portrait in monitoring visual field, lighting condition is good, can obtain facial image clearly, face elemental area is greater than 80*80 pixel.

Two foundations that the present invention's judgement behavior that enters occurs are:

There is a suspect in guarded region: the mode combining by multiple alarm sensor realizes a suspect's

Detect.

A suspect's authentication failure: householder can complete authentication by two kinds of modes: video human face is known

Other mode and WIFI communication.Video human face recognition method: user enters and cooperates with video camera on one's own initiative behind region and complete recognition of face, by comparing with the face database of registration, completes the checking of identity.WIFI communication: video camera and user mobile phone are by the WIFI authentication of having communicated by letter.

Therefore experiment is divided into two parts: region enters to be detected and authentication.

Region enters test experience

First the present invention passes through audio analysis, vibration detection, infrared detection is carried out preliminary examination to the behavior that enters region, and the mode feasible region of next checking by Video Motion Detection enters detection, in order to verify the actual performance of product, 5 tests are carried out, each test is 7*24 hour, and the performance of while and single-sensor compares, as long as triggered warning for single detection mode, think that region has occurred enters behavior, test result is as follows:

No matter the effective combination that has proved by experiment multiple alarm sensor, or reduce wrong report aspect all improves a lot aspect accuracy of detection than single alarm.

Authentication experiment

In the time intrusion behavior being detected, system is opened authentication, and setting checking time-out time is 10 seconds, if do not confirm user identity in 10 seconds, thinks illegal invasion.These two kinds of verification modes of respectively recognition of face being communicated by letter with WIFI are tested, and test result is as follows:

In experiment, find, recognition of face is to human face posture, the requirement of photoenvironment is all higher, if environment sidelight is serious or personnel's attitude coordinates not tacit meeting to cause None-identified or wrong identification, and the mode of communicating by letter by WIFI coordinates without user, but the interference that may be subject to other WIFI equipment causes connection unsuccessful, explanation by experiment, adopt WIFI communication to carry out identity validation and be better than recognition of face and realize identity validation, by both in conjunction with the accuracy rate that can further improve identity validation.

Although with reference to multiple explanatory embodiment of the present invention, invention has been described here, but, should be appreciated that, those skilled in the art can design a lot of other modification and embodiments, and these are revised and within embodiment will drop on the disclosed principle scope and spirit of the application.More particularly, in the scope of, accompanying drawing open in the application and claim, can carry out multiple modification and improvement to the building block of subject combination layout and/or layout.Except modification that building block and/or layout are carried out with improving, to those skilled in the art, other purposes will be also obvious.

Claims (10)

1. an intelligent door and window anti-intrusion device, described anti-intrusion device comprises lighting module, video acquisition module, integrated information acquisition module, warning sending module, signal processing module, lighting control module, it is characterized in that:

The video acquisition that described lighting module is video acquisition module provides lighting source;

Video information around described video acquisition module starts to gather in the time that lighting module is opened;

Described integrated information acquisition module Real-time Collection peripheral information, and offer in real time described signal processing module;

Described lighting control module determines the unlatching of lighting module, and wherein, described lighting control module decides described unlatching according to described signal processing module to the result of described peripheral information;

Described signal processing module is differentiated intrusion behavior according to described video information and described peripheral information, thereby determines whether start warning sending module, sends alerting signal.

2. anti-intrusion device as claimed in claim 1, is characterized in that:

Also comprise power management module, described anti-intrusion device is powered, described power management module connects external power supply and accumulator;

In the time of external power supply normal power supply, whole product uses external power supply;

In the time that external power supply is cut off, described accumulator is enabled as described anti-intrusion device power supply automatically.

3. the anti-intrusion device as described in as arbitrary in claim 1 or 2, is characterized in that:

Described integrated information acquisition module comprises that audio collection module, heat discharge the one or more modules in infrared detection alarm module, vibration detection module, glass breaking detection module, door magnetic detection module;

Described peripheral information comprises voice messaging, infrared information, vibration information and glass breaking acoustic information, door magnetic information.

4. the anti-intrusion device as described in as arbitrary in claim 1-3, is characterized in that:

Illuminating lamp in described lighting module in the form of a ring, described heat discharges infrared detection alarm module, vibration detection module, video acquisition module, audio collection module and the warning sending module distributing installation outward flange at described illuminating lamp, and described signal processing module, power management module and switch control module are arranged on the inside of described illuminating lamp.

5. the anti-intrusion device as described in as arbitrary in claim 1-4, is characterized in that:

Described signal processing module comprises main process chip, and described main process chip adopts main core processing device and the Duo-Core Architecture pattern of being combined from core processor.

6. an intelligent intrusion-proof system, described system comprise memory module and as arbitrary in claim 1-5 as described in anti-intrusion device; Described memory module establishes a communications link by mode and the described anti-intrusion device of wired or wireless communication, and the information of described anti-intrusion device collection is stored;

It is characterized in that:

Described resolution intrusion behavior comprises that the people to approaching anti-intrusion device carries out identification, and described identification is to have identified by recognition of face or other modes;

In carrying out described identification, the described peripheral information also integrated information acquisition module described in the time that people approaches anti-intrusion device being collected is analyzed;

Whether described signal processing module is analyzed based on described identification with to described peripheral information, forms decision signal, differentiate intrusion behavior and set up.

7. anti-intrusion system as claimed in claim 6, is characterized in that:

Before carrying out described recognition of face, also comprise that face registers to form face database;

In described recognition of face, adopt HAAR feature to carry out face detection in conjunction with adaboost algorithm and realize face location;

Adopt two-layer human eye steady arm, obtain human eye location by adaboost algorithm, utilize face positioning result by image rotation, eyes to be proofreaied and correct and realized face standardization for level;

Carry out feature extraction by two-dimensional Gabor filter, utilize covariance between vector distance as matching measurement mode, realize facial image to be identified by nearest neighbor classification and mate with the facial image in described face database.

8. the system as described in as arbitrary in claim 6-7, is characterized in that:

Described resolution intrusion behavior also comprises the action in described video information is detected to analysis.

9. an intelligent access control system, described intelligent access control system comprises the intelligent intrusion-proof system as described in as arbitrary in claim 6-7, described intelligent access control system utilizes described intelligent intrusion-proof system to complete described identification, described peripheral information is analyzed, whether identification is that guest visits, and the information automatically visiting guest being arrived sends to mobile or fixed terminal.

10. intelligent access control system as claimed in claim 9, is characterized in that:

Whether described identification is that guest visits and comprises the steps:

The first step, collect digital video signal by described video acquisition module, collect digital audio and video signals by described audio collection module, discharging infrared detection alarm module by heat collects external heat temperature information and changes voltage signal into, collect extraneous vibration by vibration detection module and produce the information of deformation or stressed transformation and change voltage signal into, collect glass breaking and door magnetic change information and change voltage signal into by glass breaking detection module and door magnetic detection module;

Second step, signal processing module receives heat and discharges the voltage signal of infrared detection alarm module, vibration detection module, glass breaking detection module and door magnetic detection module, and determines whether that in conjunction with audio-video intelligent analysis guest visits;

The 3rd step, if there is the visit generation of behavior of guest, by wireless mode, visitor is sent to the mobile or fixed terminals such as the indoor master cellular phone of being in automatically at video or photographic intelligence outdoors, and activated terminals provides ring, vibrations or voice message.

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