CN104268963A - Intelligent door lock system, intelligent door lock and intelligent alarm door - Google Patents
Intelligent door lock system, intelligent door lock and intelligent alarm door Download PDFInfo
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- CN104268963A CN104268963A CN201410384405.XA CN201410384405A CN104268963A CN 104268963 A CN104268963 A CN 104268963A CN 201410384405 A CN201410384405 A CN 201410384405A CN 104268963 A CN104268963 A CN 104268963A
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Classifications
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- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05B—LOCKS; ACCESSORIES THEREFOR; HANDCUFFS
- E05B45/00—Alarm locks
- E05B45/06—Electric alarm locks
-
- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05B—LOCKS; ACCESSORIES THEREFOR; HANDCUFFS
- E05B49/00—Electric permutation locks; Circuits therefor ; Mechanical aspects of electronic locks; Mechanical keys therefor
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- Lock And Its Accessories (AREA)
Abstract
The invention provides an intelligent door lock system. The intelligent door lock system comprises a lock cylinder module, a core control module, an information acquisition module and an alarm module. The lock cylinder module comprises a lock cylinder and a lock cylinder control device. A preset hazard identification signal is stored in the core control module. The information acquisition module acquires information around a door lock and transmits the information to the core control module, the core control module carries out analysis and identification on the information thereby determining if the information contains a hazard identification signal, and the alarm module gives an alarm. The lock cylinder control device individually controls opening of the lock cylinder and/or the lock pin control device and the core control module jointly control opening of the lock cylinder. The invention also provides an intelligent door lock based on the intelligent door lock system and an intelligent alarm door. In door lock opening, the door lock can intelligently identify the hazard identification signal or unlawful unlocking/door-bursting signal secretly transmitted by a hijacked unlocker and then give an alarm.
Description
Technical field
The present invention relates to a kind of door lock, particularly a kind of intelligent door lock of energy preset alarm signal.
Background technology
Conventional lock system is made up of key and lock core, the spoon body surface of key forms difform sawtooth, lock core is inner to being provided with corresponding draw-in groove by difform sawtooth, when the spoon body of key inserts lock core inside, spoon sawtooth is with it identical with the draw-in groove in lock core is, utilize the shank of the key rotate key plug and then cause lock core to rotate, door lock is opened.Conventional mechanical lock system has inconvenience, and such as security performance is bad, is easily pried open.
Along with developing rapidly of electronic information technology, the progress of embedded system technology, biological identification technology, conventional lock is constantly to high-tech, intelligent direction development, gradually enter in the life of people with the intelligent door lock of living things feature recognition in conjunction with conventional lock, lock core still or adopt traditional mechanical lock, or employing electromagnetic lock core, then complicated electronic control system is equipped with, such as password control system, fingerprint control system, voice control system, iris authentication system, face identification system
Face, as a kind of conventional biological characteristic, is subject to the favor of people day by day with its noncontact, advantage reliable, easy to use.The electronic lock in succession grown up at present, intelligent lock system, it is different from mechanical lock system, identify user, security and managerial in more intelligent.Existing intelligent lock system primary fingerprint recognition system, face identification system are representative.
In above-mentioned control system, what mainly adopt is image processing techniques and voice recognition technology.
Current image processing techniques, can adopt computing machine, PPC, DSP, ARM etc. from video by computing and analysis, extract useful information in video.This technology, by the powerful data-handling capacity of various processor, is carried out high speed analysis to the mass data in video pictures, is filtered out the unconcerned information of user, be only the key message that user provides.Intelligent Video Surveillance Technology is mainly analyzed automatically to video, from video, extract key message, finds and identifies abnormal events of interest, such as extract face information from video information, and identifying.Based on image processing techniques, artificial monitoring can be substituted or assist artificial monitoring; Video analysis relates to the software algorithm of complexity with identifying, it can identify behavior that is strange and exception by programming; Video content analysis and identification software, by analyzing the video flowing at scene or record, detect and identify suspicious activity, event or behavior pattern; The intellectuality of video monitoring system refers to when not needing human intervention, and system can realize detecting the abnormal conditions in monitored picture, identifying and video quality analysis automatically, and makes pre-/warning in time.
Identification of sound source technology: robot needs independently to find and find suspicious situation in safety protection function; For this reason, need independently to judge the direction that sound sends, then labour contractor aims at this direction to make video camera identify further and to judge; Speech recognition technology: comprise natural-sounding recognition technology and characteristic sounds recognition technology; Speech recognition technology based on classes of instructions is used for man-machine interaction; Characteristic sounds recognition technology can strengthen the susceptibility of robot to sound such as door lock unlatching, glass breakings; Under sound line recognition technology can be used for specified conditions, as recognition of face lost efficacy time, by Application on Voiceprint Recognition, distinguish kinsfolk and stranger.
For example in patent documentation 1 (CN201220364846.X), disclose the human face recognition door lock of a kind of infrared perception and automatic light-supplementing, which employs image capture module, in order to improve the consistance of the image that image capture module collects, be equipped with special illumination control module, carry out light filling illumination, and improve the accuracy of the identification to the face in the image collected accordingly.
What relate to Similar Problems also has patent documentation 2 (CN200710182205.6), because the image collecting device be equipped with in door-locking system is in real work, ambient light illumination varies, cause system to the difficulty of the identification of the image collected, propose and adopt light filling camera in image collecting device, to obtain the more consistent image of illumination, thus improve the accuracy to recognition of face.
Propose a kind of three-dimensional locking connecting system burglar-proof door lock with fingerprint identification function in patent documentation 3 (CN200410011363.1), it adopts the mode of fingerprint recognition to carry out opening door lock.
Propose a kind of intelligent electronic lock based on the communication information and fingerprint recognition in patent documentation 4 (CN201110237953.6), it adopts the mode of password and fingerprint double verification to carry out opening door lock.
A kind of keyhole-free alarm burglar-proof door lock based on recognition of face is it is also proposed in patent documentation 5 (CN200610165322.7), its recognition of face is the recognition of face based on infrared image, then carrying out opening door lock lock core by controlling motor, opening antitheft door.
Propose a kind of electronic lock based on three dimensional face identification in patent documentation 6 (CN201310207913.6), benchmark face is carried out contrast with the geometric parameter of standardization face and mates, by control module opening door lock of unblanking after acquisition identification signal.
A kind of Intelligent alarm lock and intelligent alarm door is proposed in patent documentation 7 (CN201110058146.8), it is provided with alarm triggering device in lockhole, when other instruments in addition to keys of employing are unblanked, will trigger alarm device, thus cause alarm.
The electronic lock appeared on the market at present, substantially be all absorbed in the accuracy and reliability that how to improve and biological characteristic is identified as face, fingerprint etc., disclosed by patent documentation 1-7, or the consistance of brightness when adopting light compensating lamp to ensure image acquisition, or adopt the mode of multiple-authentication to unblank, or alarm triggering device is set in lockhole
But this kind of door lock, ideally, the difficulty to not having to obtain unlocking authority or illegally unblank during unlocking authority can only be increased, obtain unlocking authority for other approach of employing, such as violence has been kidnapped owner and unblanked, the high again door lock of security also can lose the effect of safety guard.
In addition, the mode of the simple checking such as employing password, fingerprint, face, all can be cracked easily, such as the fingerprint of people, substantially fingerprint is left everywhere, wall of cup, desk, mobile phone ... can be easy to be extracted and copy under existing technical conditions; And copying completely of three-dimensional face, along with the appearance of 3-D printing technique, copy the 3-D view of people, can not be more difficult than printing photo; And password, when figure place is few, adopt the mode of simple permutation and combination to attempt
Under current technical background, how to design and a kind ofly can either meet basic safety guard needs, again can under special circumstances, such as hiddenly when being coerced door lock send alerting signal, become the current problem needing to solve.
Summary of the invention
The present invention proposes and a kind ofly can carry out Intelligent Recognition to the situation around door lock, and various critical identification signal is preset to door lock, when opening door lock, especially be held as a hostage, or when illegally opening the door/force open the door, door lock can the Intelligent Recognition hidden described critical identification signal sent of the person of unblanking of being held as a hostage, or identification signal of illegally opening the door/force open the door, and reports to the police.
According to intelligent door lock system proposed by the invention, described intelligent door lock system comprises lock core module, kernel control module, information acquisition module, alarm module, and described lock core module comprises lock core and lock core control device, it is characterized in that:
Default critical identification signal is stored in described kernel control module;
Described information acquisition module gathers the information around door lock, and described information is passed to described kernel control module, and analysis identification is carried out to described information, judge in described information, whether to occur described critical identification signal, and reported to the police by described alarm module;
Described lock core control device independence and/or combine described kernel control module to control the unlatching of described lock core.
Intelligent door lock system as above, is characterized in that:
Described lock core is mechanical lock or electromagnetic lock core, and is opened by described lock core control device.
Intelligent door lock system as above, is characterized in that:
Described lock core control device comprise in combination disk, finger print/palm print scanner, IC/ magnetic card reader, remote control module one or more.
Intelligent door lock system as above, is characterized in that:
Described critical identification signal comprises a combination of numbers;
Described kernel control module also receives the numerical ciphers signal inputted by described combination disk, if described numerical ciphers signal is the same with described combination of numbers, then starts described alarm module and reports to the police.
Intelligent door lock system as above, is characterized in that:
Described critical identification signal comprises a fingerprint or a fingerprint combination;
Described kernel control module also receives the fingerprint signal inputted by described fingerprint scanner, if described fingerprint signal is the same with a described fingerprint or a fingerprint combination, then starts described alarm module and reports to the police.
As above arbitrary described intelligent door lock system, is characterized in that:
Described information acquisition module comprises video acquisition module, and gather the video information around door lock, described video information comprises the image information of the people in region in front of the door;
Described kernel control module is analyzed described image information and is identified certification, by certification, then sends unlock instruction directly to lock core control device, controls lock core and opens.
Intelligent door lock system as above, is characterized in that:
Described identification certification comprises and will have permission the face registered in advance of the people unblanked and be stored in the storer of described kernel control module;
Described kernel control module analyzes described image information and the facial image extracted wherein identifies, and carries out contrast certification with the face of registered in advance.
Intelligent door lock system as above, is characterized in that: described face registration comprises the steps:
Gather the human face photo of the different angles of same person;
Face position is in the picture found by Face detection;
Human eye is orientated follow-up face standardization as and is provided positional information, and described face standardization comprises face size, the standardization of face angle and illumination;
Extract the feature of standardized face's image, typing registered user database finally completes face registration.
Intelligent door lock system as above, it is characterized in that: identification and the certification of being carried out face by the arest neighbors classification Data Matching realized in on-the-spot face characteristic and property data base, if the confidence level of matching result is greater than threshold value, illustrate that face is registration face, namely by identifying certification.
As above arbitrary described intelligent door lock system, is characterized in that:
Described information acquisition module comprises video acquisition module, and gather the video information around door lock, described video information comprises the image information of the people in region in front of the door;
Described image information comprises limb action and/or the expression action of people, described kernel control module is analyzed limb action in described image information and/or expression action and identifies, judge whether occur described critical identification signal in described limb action and/or expression action, and reported to the police by described alarm module.
As above arbitrary described intelligent door lock system, is characterized in that:
Limb action and/or the expression action of people is also comprised in described image information, described kernel control module is analyzed limb action in described image information and/or expression action and identifies, judge whether occur described critical identification signal in described limb action and/or expression action, and reported to the police by described alarm module.
Intelligent door lock system as above, is characterized in that:
Described critical identification signal also comprises facial expression, face action, headwork or a limb motion, or described facial expression, face action, headwork or limb motion combination;
Described kernel control module is analyzed limb action in described image information and/or expression action and identifies, judge whether occur described critical identification signal in described limb action and/or expression action, and reported to the police by described alarm module, if have identified described critical identification signal from described limb action and/or expression move, then start described alarm module and report to the police.
Intelligent door lock system as above, is characterized in that:
Described facial expression and face action are that the state of the certain time that employing face recognition degree is higher is as described critical identifying information.
Intelligent door lock system as above, is characterized in that:
As the described facial expression of described critical identifying information, face action comprise open one's mouth, frown, face serious distortion, pout one's lips, the retention time of described facial expression, the duration of face action are 1-10 seconds.
Intelligent door lock system as above, is characterized in that:
As the described facial expression of described critical identifying information, the identification of face action, be demarcated by key feature points on face, comprise mouth, ocular, eyebrow region the change of position coordinates of described key feature points identify.
Intelligent door lock system as above, is characterized in that:
The identification of described headwork is the two-dimensional coordinate reconstruct number of people attitude in three dimensions by facial key feature points, realizes the angle of pitch, the estimation of course angle and roll angle, and then realizes the identification to particular header action.
Intelligent door lock system as above, is characterized in that:
Described limb action comprises gesture motion, finger movement, body action, leg action, and described kernel control module carries out analysis to the action in described image information and identifies, judges whether the described critical identification signal occurring presetting.
As above arbitrary described intelligent door lock system, is characterized in that:
The analysis of described image information is comprised to the background model being set up monitoring scene by Gauss model, adopts background subtraction target to be identified to be separated from background:
Wherein 1 represents prospect pixel, and 0 represents background pixels; F (x, y) represents the gray-scale value of (x, y) place pixel in image, and μ (x, y) represents the average of corresponding Gaussian Background model, and σ (x, y) represents the variance of corresponding Gaussian Background;
By the target association of interframe on the basis extracting target from described image information, form the movement locus of target, thus provide foundation for the identification of follow-up subject performance.
Intelligent door lock system as above, is characterized in that:
When picture element is detected as background dot, adopt the context update based on pixel aspect, described context update adopts single Gaussian Background update method, comprises the renewal of background mean value and the renewal of background variance:
μ
t(x,y)＝(1-α)×μ
t-1(x,y)+f
t(x,y)×α
Wherein α is for upgrading the factor, and the minimum value of the variance of described Gaussian Background is Δ;
When picture element is detected as foreground point, if judge that picture element is not target pixel point, adopt the context update based on pixel aspect, if namely this picture element at a fixed time in be detected as prospect picture element for a long time; by picture element force be updated in background;
If by judging that picture element is target pixel point, adopting the background update method of based target aspect, namely only having and judging that target is not when moving for a long time, just the disposable pressure of the area pixel at target place point can be updated in background.
Intelligent door lock system as above, is characterized in that:
Described information acquisition module also comprises infrared sensor, whether has personnel activity for monitoring door lock peripheral region;
Described video acquisition module comprises CCTV camera, face video camera;
When monitoring door lock peripheral region and having personnel activity, described environment video camera starts to gather video information, and video information is stored;
Monitoring after door lock peripheral region personnel leave, described environment video camera stops gathering video information;
When having people to stop before described infrared sensor monitors door lock, described face video camera starts to take described image information, and pass in real time described kernel control module carry out analysis identify.
Intelligent door lock system as above, is characterized in that:
Be furnished with recording device in described environment video camera, realize the synchronous acquisition of Audio and Video, form the described video information comprising audio frequency.
Intelligent door lock system as above, is characterized in that:
Described intelligent door lock also comprises light compensating lamp, and described light compensating lamp is visible ray or near-infrared light source, and the collection for described video information provides stable ambient brightness.
Intelligent door lock system as above, is characterized in that:
The open and close of described light compensating lamp are synchronous with stopping to the beginning of the collection of described video information with described video acquisition module.
Intelligent door lock system as above, is characterized in that:
Described light compensating lamp is synchronoused working with described face video camera.
Intelligent door lock system as above, is characterized in that:
Intelligent Recognition is carried out in the unexpected abnormality behavior that described kernel control module also locks near field based on light stream vector analysis and/or audio analysis opposite house, and is reported to the police by described alarm module;
Described unexpected abnormality behavior comprises limbs conflict, violence damage.
Intelligent door lock system as above, is characterized in that: described kernel control module is analyzed described video information based on light stream vector analytical algorithm, comprises the steps:
Obtained the region at target place by target tracking algorism, adopt the light stream vector V={ ν in KLT feature-point optical flow calculating target area
1, ν
2..., ν
n, adopt amplitude weighting histogram H
p={ h
j}
j=1,2 ..., nthe statistical study of feasible region light stream vector
Wherein h
jrepresent jth rank histogram, exponent number gets 12, C here
hfor normalized parameter,
for normalization light stream vector
amplitude, b (v
i) be light stream vector v
icorresponding histogram, determined by the direction of vector, δ (.) is Kronecker delta function;
Adopt Region Entropy E
hrealize the tolerance of violent random motion, E
hexpression formula as follows:
Wherein h
jrepresent jth rank amplitude weighting histogram; E
hmotion Shaoxing opera in larger declare area is strong random, and setting threshold value T, works as E
hlimbs conflict behavior has been broken out in declare area during > T.
Intelligent door lock system as above, is characterized in that:
Described kernel control module is analyzed the audio frequency in described video information based on audio analysis algorithm, and described analysis analyzes the spectrum energy of audio frequency.
As above arbitrary described intelligent door lock system, is characterized in that:
Described intelligent door lock also comprises an open and close state monitoring module, when monitoring Men Weiguan, not locking, sends prompting message by described alarm module and/or doorbell or built-in loudspeaker.
Intelligent door lock system as above, is characterized in that:
Described door open and close state monitoring module is infrared and/or ultrasonic distance measuring module, is carried out the on off state of recognitiion gate by the distance of monitoring door.
As above arbitrary described intelligent door lock system, is characterized in that:
Described intelligent door lock also comprises communication module, and described warning device sends alerting signal by described communication module.
Intelligent door lock system as above, is characterized in that:
Described communication module comprises wired and/or wireless communication module.
Intelligent door lock system as above, is characterized in that:
Described wire communication module is power line carrier, PLC module.
As above arbitrary described intelligent door lock system, is characterized in that:
Described intelligent door lock also comprises reserve battery.
Intelligent door lock system as above, is characterized in that:
Described video information is stored in the storer of described kernel control module and/or is sent to terminal in real time by communication module and stores.
Intelligent door lock system as above, is characterized in that:
Described intelligent door lock also comprises local interactive interface, by described interactive interface, arranges accordingly and reading and writing data described kernel control module.
Intelligent door lock system as above, is characterized in that:
Direct and the described communication module of described interactive interface is connected, thus controls to communicate by described communication module and described core in terminal, completes corresponding setting and reading and writing data.
The invention allows for a kind of intelligent door lock, described intelligent door lock is the intelligent door lock based on as above arbitrary described intelligent door lock system, it is characterized in that: in described intelligent door lock, be preset with described critical identification signal, when opening described intelligent door lock, described intelligent door lock gathers the information around door lock and therefrom identifies described critical identification signal, thus sends a warning.
The present invention also puts forward a kind of intelligent alarm door, and described intelligent alarm door comprises intelligent door lock as above.
Accompanying drawing explanation
Fig. 1 intelligent door lock system block diagram.
Fig. 2 kernel control module circuit structure block diagram.
Fig. 3 intelligent door lock system workflow block diagram.
The each functional module logic diagram of Fig. 4 intelligent door lock system.
Fig. 5 inlet/outlet guarded region schematic diagram.
Fig. 6 face registration & identification process figure.
Fig. 7 face normalize regional identifies schematic diagram.
embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, 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, be not intended to limit the present invention.
As shown in Figure 1, intelligent door lock system block diagram given by the present invention, lock core module wherein comprises traditional mechanical lock master and drives the CD-ROM drive motor of described mechanical lock master, or electromagnetic lock core, for realize door switch locking, and for lock core control be lock core control device.
Lock core control device in the present invention comprise adopt combination disk, finger print/palm print scanner, IC/ magnetic card reader, one or more in remote control module are used as input media, by the information of the password of input, the finger print/palm print of scanning, IC/ card information or remote control input, carry out identifying, verifying in described lock core control device.If the verification passes, then opening door lock.Above-mentioned various inputting interface, or separately or the mode that combines of multiple input verify and opening door lock.
Kernel control module in described system, the mode can combined with described lock core control device is to control the unlatching of door lock.That is, lock core control device independently and/or can combine described kernel control module to control the unlatching of described lock core.
This is because kernel control module can receive the information around the door lock that collects from information acquisition module, and the information of image analysis algorithm to surrounding is utilized to process, analyze and identify.So the mode adopting kernel control module to combine with lock core control device to control the unlatching of lock core module, can improve its accuracy and reliability further.And, further, kernel control module and lock core control device, when opening door lock, can backup each other, namely, a side break down can not work time, can by switch control separately lock core module by an other side, and by checking after opening door lock.
Based on above-mentioned separately and/or the mode jointly controlled, can realize unblanking with password, fingerprint, recognition of face, conventional metals key, brush contactless card, speech recognition, wireless remote control, network to door lock or the unlatching control of mode of combination in any of above various ways.
For the circuit structure of kernel control module, as shown in Figure 2, its main central processing unit CPU can adopt freescale high-performance processor, preferably freescale IMX6.Q series master chip processor.
Storer in kernel control module, Storage unit, for different applicable cases, adopts dissimilar storage medium, such as SD and TF cartoon is crossed SDIO to control, and the storage medium of this type is convenient for changing;
Nand is controlled by Nandflash, and this type integrated level is high, but is not easy to change storage medium;
SSD is by PCI-E or SATA Interface Controller, and this type storage space can be accomplished very large.
According to different application types and demand, dissimilar storer can be selected accordingly.
Transformer (transformer): the transformer of Ethernet.
Ethernet module: 10/100/1000M ethernet transceiver.
DC IN (external power supply): direct supply input port, to power input to whole product.
Battery (battery): the reserve battery of product, the working power for subsequent use when outside no-voltage input.
Power manager (power management): the power management module of video camera, is reserve battery charging, provides different operating voltage to whole product.
DDR (internal memory): for the running memory of master cpu.
Flash (flash memory): for information such as storage system start-up routine, configuration parameter, log informations.
Its periphery is provided with abundant interface, comprises Ethernet RJ45 interface, wireless module (3G, WIFI) interface, wireless module (zigbee, Blue tooth or other wireless modules) interface, infrared and or ultrasonic distance measuring module interface, audio collection module interface, video sensor interface.
Information acquisition module in described door-locking system, comprises sound, video acquisition module, various sensor, can also comprise the various input medias in lock core control device, such as combination disk, finger print/palm print scanner etc.Described information acquisition module gathers the audio/video information around door lock, such as gathers the video around door lock by video camera, audio frequency; Obtain by combination disk, finger print/palm print scanner password, the finger print/palm print that unlocking person inputs, and the information collected is sent to kernel control module in real time.
Kernel control module, with predetermined algorithm, to store above-mentioned information, Treatment Analysis and identification.
In information acquisition module, comprise face video camera and environment video camera, preferably OV company CMOS video sensor, gather face and ambient video and be sent to kernel control module and carry out intelligent video analysis and locally to store and network is shared;
Acoustic pickup, in order to complete voice analog signal pickup, can be integrated in one with video camera;
Infrared and or ultrasonic distance measuring module, in order to detect target setting distance situation of change, auxiliary door lock carries out switch gate judgement;
Infrared sensor, the personnel activity in induction door region, auxiliary door lock passes in and out direction to personnel and judges.
Certainly, predictably, face video camera and environment video camera, can bear seizure to the monitoring of surrounding environment and the image information of dual lock person with a video camera.
In addition, in order to ensure the quality of video camera to taken the photograph image, be also provided with light compensating lamp, selecting visible ray or near infrared light filling device, is video camera, and especially face video camera provides stable light source guarantee.
Optionally, loudspeaker can be set, for the voice signal that broadcast core control module provides.
After identifying alerting signal in the information that kernel control module collects at described information acquisition module, start alarm module, outwards send a warning.Wherein, described alerting signal, i.e. critical identification signal is the one group of information be preset in the storer of described kernel control module, can be facial expression, head or limb motion, set of number combination, a fingerprint or a fingerprint combination or above-mentioned interactive composition.
Or above-mentioned critical identification signal, every day, by being divided into multiple period every day, the authentication mode combination of each period differed, and some periods only may need an authentication mode, and some periods then can arrange multiple authentication mode according to regular hour sequential rotation.
Certainly, for checking of unblanking, also can adopt similar mode, at the Different periods of every day, the authorization information of unblanking be carried out rotation.
The present invention is said outwards to send a warning, and can be sounded alarm, or by communication module, terminal distally sends a warning, or sends a warning directly to the police of locality by loudspeaker, doorbell etc. in this locality.
About the communication module in system, various wire/wireless communication mode now can be adopted, for example second and third, four third-generation mobile communications, with the mode accessing Internet of WIFI, Bluetooth, or adopt the mode accessing Internet of power line carrier, PLC, ethernet communication.
Also be provided with reserve battery in described system, when external power supply normal power supply, whole product uses external power supply, and reserve battery is charged, when outside power-off, internal backup battery is enabled automatically, the reasonable time in of ensureing that monitoring alarm works on after external power interruption.
For the workflow of system, as shown in Figure 3, comprise the workflow of a lock core control device here, one is exactly the workflow of kernel control module in addition.
After system electrification, first complete the initialization of master chip, next complete peripheral collecting device, communication facilities initialization, start up system software host process; Create signals collecting thread, sound intelligent video analysis thread, service, control worker thread, communication thread; After system has started, whether monitor service thread first detecting gate lock pin control device normally works, if door lock core control module fails normally to supply work, oneself duty is automatically upgraded to host work pattern from from machine mode of operation by kernel control module, and receives process door lock peripheral device information.
The unlatching that described kernel control module controls lock core is combined for lock core control device, its cooperation mode is exactly master slave mode, namely after system starts, whether described kernel control module first detecting gate lock pin control device normally works, if door lock core control device fails normally to supply work, oneself duty is automatically upgraded to host work pattern from from machine mode of operation by kernel control module, and receives process door lock peripheral device information; If door lock core control device normally works, so kernel control module is in from machine mode of operation, completes the process of the information that peripheral collecting device collects, and analyzes and identify audiovisual presentation.
Signals collecting thread: monitor and gather peripherals device signal, signal is sent to corresponding signal transacting thread respectively and processes after pre-service; As after video camera and acoustic pickup collection collect audio, video data, first pre-service is carried out to audio-video signal, then pretreated audio, video data is sent to intelligent sound video analysis thread process;
Intelligent sound video analysis thread: after this thread receives audio, video data, to audio/video frames data analysis, and start fall, gesture, personnel kidnap, personnel invasion, violent conflict scheduling algorithm detect; Complete the coding of audio, video data, compression, storage simultaneously;
Watch-dog service thread: comprise door lock and control, manage, and the response process of remote command;
Communication thread: to establish a communications link as mobile phone with door lock and remote equipment and communicate; If after receiving alerting signal, the warning message that tissue is relevant, as the audio frequency and video of pre-recording, picture etc., send to predetermined mobile phone terminal.
As shown in Figure 4, whether first kernel control module detects the peripheral detection module work such as face video camera, door lock CCTV camera, environment video camera, range finder module to its functional block diagram normal, if occur abnormal, by pilot lamp flash for prompting user.
Then establish a communications link with lock core control device, setting master-slave mode, if lock core control device can normally work and/or work is main state mode of operation, then the work of kernel control module is adjusted to automatically from state mode of operation.
The data-signal that the peripheral sampler of data acquisition module real-time reception sends, and start intelligent analysis module data-signal is processed:
(1) when there being personnel activity in the camera supervised region of environmental monitoring, start video and audio recording immediately, and audio, video data is saved on monitoring alarm storage card, after personnel leave, stop video and audio recording.When being provided with light compensating lamp, light compensating lamp synchronously can open and close with video camera;
(2) after face video camera captures facial image, start recognition of face process and authentication is carried out to personnel, if authentication success, open door by door lock control motor.If also have password or fingerprint or card number in door lock running scheme, then also need at the input of door lock input field password, fingerprint or card number.If occur then directly starting the critical identification signal that pre-sets warning, or combine graphical analysis below and recognition result at the password/fingerprint etc. of input, judge whether to occur to coerce, the alert such as abduction;
(3) time-out of unblanking judges.When uncaging time exceedes setting, registration terminal is sent abnormal alarm of unblanking;
(4) switch gate judges.According to infrared and or ultrasonic distance measuring module measure latch position situation of change, judge the on off state of door, be still in non-off status when door exceedes setting-up time, send voice message of not closing the door.
(5) analyze human face expression or limb action, judge whether to exist to kidnap and report to the police.
(6) by video image and sound identification module, judge whether to there is violent conflict, violence is forced open the door, destroy the behaviors such as door lock;
(7) by face or door lock knob, start intelligent doorbell, open video intercom;
(8) receive and process wireless remote control signals instruction;
If 4 have alert event to occur, start remote communication module, warning message is sent to distance host or mobile terminal, simultaneously linkage warning device.
5, process remote control command is received
(1) remote unlocking: receive the mobile terminals such as mobile phone and unblank after doorbell, start program of unblanking, opens door lock by controlling door lock motor;
(2) data upload: real-time audio and video in door region or preservation video recording are uploaded to remote terminal;
(3) parameter configuration: door lock is unblanked mode, door lock management, the presetting of critical identification signal, face registration management etc.
For the audiovisual presentation process in kernel control module, analysis and recognizer, mainly realized by following algorithm.
One, judge whether have people in guarded region
Intelligent door lock system judges whether have people in guarded region by embedded video intrusion detection algorithm, if there is people to enter, start video recording, personnel leave, and stop video recording.
Video intrusion detection algorithm sets up the background model of monitoring scene by Gauss model, adopts background subtraction to be separated from background by foreground target:
Wherein 1 represents prospect pixel, and 0 represents background pixels.F (x, y) represents the gray-scale value of (x, y) place pixel in image, and μ (x, y) represents the average of corresponding Gaussian Background model, and σ (x, y) represents the variance of corresponding Gaussian Background.
The context update strategy that context update have employed based target aspect and combines based on pixel aspect.When 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:
μ
t(x,y)＝(1-α)×μ
t-1(x,y)+f
t(x,y)×α
Wherein α is for upgrading the factor, is generally a very little value.Here the minimum value of clamper variance is Δ, prevents model from too restraining, causes model noise resisting ability to weaken.
When picture element is detected as foreground point, if judge that picture element is not target pixel point, adopt the context update based on pixel aspect, if namely this picture element at a fixed time in be detected as prospect picture element for a long time; by picture element force be updated in background; If by judging that picture element is target pixel point, adopting the background update method of based target aspect, namely only having and judging that target is not when moving for a long time, just the disposable pressure of the area pixel at target place point can be updated in background.
Being employed herein the target following based on detecting, by the target association of interframe on the basis detecting target, forming the movement locus of target, for succeeding target behavioural analysis provides foundation.
Two, time-out of unblanking is reported to the police
Monitoring alarm by intrusion detection algorithm judge to have people enter guarded region simultaneously direction of motion be enter but not go out time, monitoring alarm can be monitored by the motion conditions of embedded motion detection algorithm to the lockhole region of specifying, examine further in conjunction with the infrared or ultrasonic distance measuring module that monitoring alarm is built-in simultaneously and whether unblanking, confirm accumulation uncaging time after behavior of unblanking, when accumulation uncaging time exceedes setting-up time then trigger alarm.
When judging inlet/outlet direction, two pieces of nonoverlapping regions are as shown in Figure 5 set in the camera supervised visual field of door-locking system.When judging have people to enter monitoring visual field by intrusion detection algorithm, the ratio of analysis the past period inner region 1 and region 2 motion pixel, judges to pass in and out direction by average weighted mode.If the motion pixel number of surveyed area 2 is greater than the motion pixel number of surveyed area 1, explanation is entered, otherwise then go out.
Three, long-time prompting of not closing the door
Monitoring alarm finds do not have personnel to pass in and out in setting-up time by embedded intrusion detection algorithm, and the infrared or ultrasonic distance measuring module that monitoring alarm is built-in simultaneously detects Men Weiguan, then send Men Weiguan prompting.By principle that is infrared or ultrasonic distance measuring module detecting gate switch be wherein: the distance that when door is shut, range finder module records is a less stationary value, the distance recorded when the door is open is a larger value, just can be judged the on off state of door by setting threshold values.
Four, the automatic identification of unexpected abnormality behavior around door lock
Force open the door in violence or break out along with violent random motion and loud uttering long and high-pitched sounds when limbs conflict, therefore can detect limbs conflict by light stream vector analysis and audio analysis, when two kinds of methods all detect that limbs conflict, triggering abnormal behaviour and report to the police.
(1) light stream vector analysis
The region at target place can be obtained by target tracking algorism, adopt the light stream vector V={ ν in KLT feature-point optical flow calculating target area here
1, ν
2..., ν
n, adopt amplitude weighting histogram H
p={ h
j}
j=1,2 ..., nthe statistical study of feasible region light stream vector.
Wherein h
jrepresent jth rank histogram, exponent number gets 12, C here
hfor normalized parameter,
for normalization light stream vector
amplitude, b (v
i) be light stream vector v
icorresponding histogram, determined by the direction of vector, δ (.) is Kronecker delta function.
Here Region Entropy E is adopted
hrealize the tolerance of violent random motion, E
hexpression formula as follows:
Wherein h
jrepresent jth rank amplitude weighting histogram.E
hmotion Shaoxing opera in larger declare area is strong random, and setting threshold value T, works as E
hlimbs conflict has been broken out in declare area during > T.
(2) audio analysis
With fierce speech and loud uttering long and high-pitched sounds during the conflict of outburst limbs, analysis can be carried out to the spectrum energy of audio frequency and detect limbs conflict.
Five, the identification of face and registration
As shown in Figure 6, face registration: the front face photo first gathering the different angles of same person, improves the Stability and veracity of recognition of face by gathering different angle human face photos.Next find face position in the picture by Face detection, human eye is orientated follow-up face standardization as and is provided positional information.Face standardization mainly comprises face size, the standardization of face angle and illumination.By extracting the feature of standardized face's image, typing registered user database finally completes face registration.
Recognition of face: the flow process of recognition of face and the process of face registration similar, difference is to extract after face characteristic to be classified the Data Matching realized in on-the-spot face characteristic and property data base by arest neighbors, if the confidence level of matching result is greater than threshold value, illustrates that face is register face otherwise as non-registered face.
The identification of face and the detailed process of registration as follows:
Face detection
Here HAAR integrate features adaboost algorithm realization Face datection is adopted.Weak Classifier general for a large amount of classification capacity is combined as a strong classifier according to the mode of training error index decreased by Adaboost algorithm.And HAAR is characterized as the weak typing feature that adaboost algorithm provides magnanimity, ensure that adaboost algorithm totally finds the weak typing of excellent performance.In Face datection implementation process, the use of integration histogram and cascade classifier greatly reduces the processing time while guarantee is compared with high measurement accuracy.
Human eye is located
Being employed herein two-layer human eye steady arm, is all obtained by adaboost Algorithm for Training.Wherein ground floor is coarse positioning, and locating area have selected and includes eyes eyebrow at interior most of ocular, and the second layer is accurately locate, and locating area only comprises ocular.Coarse positioning device compared to precise localizer owing to having contained area information more, the stability of therefore locating is higher, substantially there is not larger position deviation, and precise localizer can realize the accurate location of human eye, but easily be subject to eyebrow, the interference at canthus causes Wrong localization.By the approximate location scope of geometric proportion relation determination human eye on the basis of coarse positioning, within the scope of this, precise localizer is used to realize the accurate location of human eye.By by slightly to the locator meams of essence, reduce the impact on location such as eyebrow, canthus, improve the accuracy of location.
Face standardization
Face standardization is a step very crucial in recognition of face, and the quality of normalize results directly affects the precision of recognition of face.Face standardization mainly completes geometry correction and the gamma correction of facial image.The result utilizing previous step human eye to locate is easy to the geometry correction realizing facial image, first by image rotation, eyes is corrected to level, is intercepted facial image by eyes distance D.As shown in Figure 7, wherein h=0.64, t=0.43, b=1.85.Finally scale the images to 64x64 pixel.
Gamma correction mainly eliminates uneven illumination to a certain extent on the impact of 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)=ax+by+c is write as matrix form and x=Np, wherein x represents the column vector that the picture element gray-scale value of image is lined up, N represents the coordinate that picture element is corresponding, first row represents horizontal ordinate, secondary series represents ordinate, the 3rd row filling 1, p=[a b c]
t.Plane parameter a, b, c can be tried to achieve by the mode of linear regression, i.e. p=(N
tn)
-1n
tx.
(1) feature extraction
Here have selected Gabor wavelet feature, Gabor transformation has the performance of excellence in image local area texture analyzing.Two-dimensional Gabor filter can be expressed as:
Wherein
for image coordinate,
for the centre frequency of wave filter,
for the direction of wave filter.Two-dimensional Gabor filter modulates the sinusoidal wave Planar realization in characteristic frequency and direction by two-dimensional Gaussian function, is realized the analysis of different scale and different directions image texture by the frequency and direction changing sinusoidal wave plane.
The facial image of 64*64 size is obtained by face standardization, here have selected 5 filter scales, 8 filtering directions, obtain the Gabor filter of 40 different directions and frequency, to a facial image by obtaining the magnitude image after 40 Gabor wavelet conversion after wave filter convolution, the Gabor characteristic dimension finally obtained is 163840.Greatly can reduce the speed of discriminator in the proper vector of such higher-dimension, therefore need to carry out dimensionality reduction to proper vector.Here 4x4 even down sample realization character dimensionality reduction is adopted.Feature after dimensionality reduction obtains final discriminator feature by linear discriminant analysis, and Linear Discriminant Analysis's transformation matrix is calculated by face Sample Storehouse.While ensureing inter-class separability, the further compression of characteristic is achieved by Linear Discriminant Analysis's conversion.
(2) arest neighbors classification
Here adopt nearest neighbor classification to realize the facial image of inquiry and mating of database facial image, the Euclidean distance between employing vector, as matching measurement mode, can weigh the confidence level of final coupling simultaneously by Euclidean distance.
Six, the abduction based on video analysis is reported to the police
Monitored personnel can start abduction by the combination of multiple rule and report to the police, and rule comprises: watch attentively for a long time, and palm detects, particular emotion identification, and particular header motion identifies.
Watch door lock or monitoring alarm for a long time attentively
User sets and triggers time of this rule, exceedes setting-up time then trigger this rule when watching door lock or monitoring alarm attentively.Concrete, if recognition of face success in 5 seconds, then identify that successful subsequent is continuous and watch trigger then regular more than 3 seconds attentively; If recognition of face failure in 5 seconds, to continue to watch attentively more than 3 seconds then triggering rule.Recognition of face success or failure can trigger this rule.
Palm detects
Monitored personnel show palm, and palmar aspect is to camera, and monitoring alarm detects that palm then triggers this rule.
Particular emotion identification
Face carries out key feature points demarcation, and when opening one's mouth, when the expression that the identification such as to frown is higher occurs, significant change can occur the position coordinates of mouth region or eyebrow region key feature points, can be judged by the change of key point position coordinates.
Particular header motion identifies
Number of people attitude in three dimensions can be reconstructed by the two-dimensional coordinate of facial key feature points, realize the angle of pitch (pitch), the estimation of course angle (yaw) and roll angle (roll), and then realize the judgement to particular header motion.
Monitored personnel can adopt the mode of multiple rule combination to start according to the custom of individual and idea and kidnap warning, to reach the object improving warning success ratio and reduce to report by mistake simultaneously.Start abduction warning as " watching attentively for a long time " and " palm detection " two regular priorities can be adopted to trigger, or adopt " watching attentively for a long time " single regular triggering to start abduction warning etc. for three times.When each rule is triggered and finally abduction is reported to the police, system can play one section of user configured voice, prompting hijackee.These voice have stronger hint to hijackee, have stronger fascination to robber, as " recognition failures please identifies again ", " please identify and unblank again successfully " etc.
It should be noted that, based on the digital image recognition technology in above-mentioned kernel control module, can also arrange intelligent doorbell, namely visitor can by watching monitoring alarm or door lock startup doorbell attentively.Be embedded in the face recognition algorithms in kernel control module, owner (accredited personnel) and visitor (unregistered personnel) can be distinguished, automatically starting doorbell when being identified as visitor, remind the arrival of owner visitor.
In sum, the workflow of whole system is as follows:
After intelligent door lock system powers on, lock core control device and kernel control module start system initialization simultaneously, initialization completes start up system immediately, detect the duty of lock core control module, automatically the master-slave mode of door lock and kernel control module is determined, after intelligent door lock system sends " intelligent door lock has started " voice message, system enters normal operating conditions.
If use first, voice message is entered identification authentication mode setting and relevant parameter setting by intelligent door lock system, as selected face registration mode, also needing to carry out face registration, and presetting critical identification signal.
Real-time detection is unblanked behavior, and identifies according to predetermined mode dual lock personnel identity of unblanking, after authentication is passed through, and opening door lock.
The critical identification signal whether real-time detection door guarded region exists violent conflict or preset, if exist, starts warning immediately;
Whether real-time detection door guarded region is existed intrusion behavior and is verified personnel identity by face recognition algorithms or voiceprint recognition algorithm; If be illegal invasion, start warning immediately.
Performance analysis judges whether to occur in door region unblank exception, violence of door and forces open the door, destroys the behavior events such as intelligent door lock and occur, if there is this type of event, starts warning immediately.
When door is for long-time non-closed condition, and without personnel's turnover, Intelligent alarm lock will send door and not close prompting.
Having after in people's portal entry region, intelligent door lock immediate unlock video and audio recording, and be kept in the storer of intelligent door lock.
After intelligent newspapers door lock receives the audio frequency and video preview or play-back command that remote terminal sends as mobile phone, intelligent door lock will start preview or playback software, and fact is sent to remote terminal in real time.
By mobile terminals such as mobile phones, remote control can be carried out to Intelligent alarm lock, as sent door interlock switch order, amendment Intelligent alarm lock operational factor etc.
Based on intelligent door lock system proposed by the invention and intelligent door lock, we also proposed a kind of intelligent alarm door, described intelligent alarm door comprises intelligent door lock in the present invention and intelligent door lock system, described intelligent alarm door comprises doorframe and dodge gate, what the lock core in lock core module was relative is arranged on doorframe and dodge gate, to realize the locking of opposite house.The input panel of lock core control device, comprises combination disk, finger print/palm print scanner, IC/ magnetic card reader is arranged on door.Kernel control module is arranged in door or inside door, video camera is arranged on above doorframe, overlooks door lock peripheral region.Described intelligent door lock gathers the information around door lock and therefrom identifies described critical identification signal, thus sends a warning.
It should be noted that: the only unrestricted technical scheme of the present invention in order to explanation above, although with reference to above-described embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that: still can modify to the present invention or equivalent replacement, and do not depart from any modification or partial replacement of the spirit and scope of the present invention, all should be encompassed in the middle of right of the present invention.
Claims (10)
1. an intelligent door lock system, comprises lock core module, kernel control module, information acquisition module, alarm module, and described lock core module comprises lock core and lock core control device, it is characterized in that:
Default critical identification signal is stored in described kernel control module;
Described information acquisition module gathers the information around door lock, and described information is passed to described kernel control module, and analysis identification is carried out to described information, judge in described information, whether to occur described critical identification signal, and reported to the police by described alarm module;
Described lock core control device independence and/or combine described kernel control module to control the unlatching of described lock core.
2. intelligent door lock system as claimed in claim 1, is characterized in that:
Described lock core is mechanical lock or electromagnetic lock core, and is opened by described lock core control device.
3. intelligent door lock system as claimed in claim 2, is characterized in that:
Described lock core control device comprise in combination disk, finger print/palm print scanner, IC/ magnetic card reader, remote control module one or more.
4. intelligent door lock system as claimed in claim 3, is characterized in that:
Described critical identification signal comprises a combination of numbers;
Described kernel control module also receives the numerical ciphers signal inputted by described combination disk, if described numerical ciphers signal is the same with described combination of numbers, then starts described alarm module and reports to the police.
5. intelligent door lock system as claimed in claim 3, is characterized in that:
Described critical identification signal comprises a fingerprint or a fingerprint combination;
Described kernel control module also receives the fingerprint signal inputted by described fingerprint scanner, if described fingerprint signal is the same with a described fingerprint or a fingerprint combination, then starts described alarm module and reports to the police.
6. the intelligent door lock system as described in as arbitrary in claim 1-3, is characterized in that:
Described information acquisition module comprises video acquisition module, and gather the video information around door lock, described video information comprises the image information of the people in region in front of the door;
Described kernel control module is analyzed described image information and is identified certification, by certification, then sends unlock instruction directly to lock core control device, controls lock core and opens.
7. intelligent door lock system as claimed in claim 6, is characterized in that:
Described identification certification comprises and will have permission the face registered in advance of the people unblanked and be stored in the storer of described kernel control module;
Described kernel control module analyzes described image information and the facial image extracted wherein identifies, and carries out contrast certification with the face of registered in advance.
8. intelligent door lock system as claimed in claim 7, is characterized in that: described face registration comprises the steps:
Gather the human face photo of the different angles of same person;
Face position is in the picture found by Face detection;
Human eye is orientated follow-up face standardization as and is provided positional information, and described face standardization comprises face size, the standardization of face angle and illumination;
Extract the feature of standardized face's image, typing registered user database finally completes face registration.
9. the intelligent door lock based on the intelligent door lock system as described in as arbitrary in claim 1-8, it is characterized in that: in described intelligent door lock, be preset with described critical identification signal, when opening described intelligent door lock, described intelligent door lock gathers the information around door lock and therefrom identifies described critical identification signal, thus sends a warning.
10. an intelligent alarm door, described intelligent alarm door comprises intelligent door lock as claimed in claim 9.
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| CN201410384405.XA CN104268963A (en) | 2014-08-06 | 2014-08-06 | Intelligent door lock system, intelligent door lock and intelligent alarm door |
| PCT/CN2014/084137 WO2016019590A1 (en) | 2014-08-06 | 2014-08-11 | Intelligent door lock system, and intelligent door lock and intelligent alarm door |
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Application publication date: 20150107 |