CN109819210A - A kind of method and device of security monitoring - Google Patents
A kind of method and device of security monitoring Download PDFInfo
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- CN109819210A CN109819210A CN201910027572.1A CN201910027572A CN109819210A CN 109819210 A CN109819210 A CN 109819210A CN 201910027572 A CN201910027572 A CN 201910027572A CN 109819210 A CN109819210 A CN 109819210A
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Abstract
The embodiment of the present application discloses the method and device of a kind of security monitoring, and method includes: the sound obtained in ambient enviroment by sound transducer, wherein the sound transducer is mounted in the elevator；Determine the decibel of the sound obtained；If the decibel of the sound of the acquisition is greater than default decibel, the facial image of all persons in the elevator is obtained；The facial image is matched with the image in default picture library；If successful match is alerted according to predetermined manner.The embodiment provided through the invention, sound decibel in building elevator can be identified, if the decibel of the sound identified is greater than default decibel and the facial image of the personage in elevator is matched with pre-set image, actively alerted, thus the security protection dynamics of hoisting elevator.
Description
Technical field
This application involves technical field of electronic equipment, and in particular to a kind of method and device of security monitoring.
Background technique
As the improvement of people's living standards, building security protection is increasingly valued by people, building safety has become
Primary requirement of the people to building property, building security system are responsible for the important duty of the safety of life and property of protection people
Duty.However the level of video monitoring is also rested in building security protection at present, security protection ability is also weaker.
Summary of the invention
The embodiment of the present application provides a kind of method and device of security monitoring, can be to the sound decibel in building elevator
It is identified, if the decibel of the sound identified is greater than default decibel and the facial image and pre-set image of the personage in elevator
Match, then actively alerted, thus the security protection dynamics of hoisting elevator.
First aspect present invention discloses a kind of method of security monitoring, which comprises
The sound in ambient enviroment is obtained by sound transducer, wherein the sound transducer is mounted on the elevator
In；
Determine the decibel of the sound obtained；
If the decibel of the sound of the acquisition is greater than default decibel, the face figure of all persons in the elevator is obtained
Picture；
The facial image is matched with the image in default picture library；
If successful match is alerted according to predetermined manner.
Optionally, the method also includes:
If the decibel of the sound of the acquisition is greater than default decibel, the monitoring that monitor is recorded within a preset time is obtained
Video, wherein the monitor is mounted in the elevator；
Screenshot is carried out to the monitor video；
Feature extraction is carried out to the screenshot of acquisition；
The feature of extraction is input in action model and carries out action recognition to obtain recognition result；
If there are security risks for the recognition result instruction, closes the elevator and notify administrator.
Optionally, it is described by the feature of extraction be input in action model carry out action recognition with obtain recognition result it
Before, the method also includes:
Obtain history picture relevant to personage's conflict；
The history picture is trained to obtain the action model using machine learning algorithm.
Optionally, the method also includes:
If the recognition result instruction promotes the storage period of the monitor video there are security risk, and will be described
Monitor video is backed up.
Optionally, the method also includes:
If the decibel of the sound of the acquisition is greater than default decibel, target person is determined according to the monitor video,
In, the target person is the personage that the decibel made a sound is greater than default decibel；
The monitor is adjusted to be monitored to the target person.
Second aspect of the present invention discloses a kind of safety monitoring device, and described device includes:
Acquiring unit, for obtaining the sound in ambient enviroment by sound transducer, wherein the sound transducer peace
In the elevator；
Determination unit, for determining the decibel of the sound obtained；
The acquiring unit obtains the elevator if the decibel for being also used to the sound of the acquisition is greater than default decibel
The facial image of middle all persons；
Matching unit, for matching the facial image with the image in default picture library；
Alarm Unit is alerted if being used for successful match according to predetermined manner.
Optionally, described device further includes screenshot unit, extraction unit, recognition unit and closed cell；
The acquiring unit obtains monitor and exists if the decibel for being also used to the sound of the acquisition is greater than default decibel
The monitor video recorded in preset time, wherein the monitor is mounted in the elevator；
The screenshot unit, for carrying out screenshot to the monitor video；
The extraction unit, for carrying out feature extraction to the screenshot of acquisition；
The recognition unit carries out action recognition for the feature of extraction to be input in action model to obtain identification knot
Fruit；
The closed cell is closed the elevator and is notified if there are security risks for recognition result instruction
Administrator.
Optionally, described device further includes training unit；
The acquiring unit is also used to obtain history picture relevant to personage's conflict；
The training unit, for being trained the history picture to obtain the movement using machine learning algorithm
Model.
Optionally, described device further includes backup units；
The backup units promote the monitor video if there are security risks for recognition result instruction
Storage period, and the monitor video is backed up.
Optionally, described device further includes adjustment unit；
The determination unit, if the decibel for being also used to the sound of the acquisition is greater than default decibel, according to the monitoring
Video determines target person, wherein the target person is the personage that the decibel made a sound is greater than default decibel；
The adjustment unit, for adjusting the monitor to be monitored to the target person.
As can be seen that obtaining the sound in ambient enviroment by sound transducer, wherein described in the embodiment of the present application
Sound transducer is mounted in the elevator；Determine the decibel of the sound obtained；If the decibel of the sound of the acquisition is greater than pre-
If decibel, then the facial image of all persons in the elevator is obtained；By the image in the facial image and default picture library into
Row matching；If successful match is alerted according to predetermined manner.The embodiment provided through the invention, can be to building electricity
Sound decibel in ladder is identified, if the decibel of the sound identified is greater than default decibel and the face figure of the personage in elevator
As being matched with pre-set image, then actively alerted, thus the security protection dynamics of hoisting elevator.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of system structure diagram of security monitoring provided by the embodiments of the present application；
Fig. 2 is a kind of flow diagram of the method for security monitoring provided by the embodiments of the present application；
Fig. 3 is the flow diagram of the method for another security monitoring provided by the embodiments of the present application；
Fig. 4 is the flow diagram of the method for another security monitoring provided by the embodiments of the present application；
Fig. 5 is a kind of structural schematic diagram of safety monitoring device provided by the embodiments of the present application；
Fig. 6 is the structural schematic diagram of another safety monitoring device provided by the embodiments of the present application；
Fig. 7 is the structural schematic diagram of another safety monitoring device provided by the embodiments of the present application；
Fig. 8 is a kind of physical structure of safety monitoring device provided by the embodiments of the present application.
Specific embodiment
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is only
Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall in the protection scope of this application.
The description and claims of this application and term " first " in above-mentioned attached drawing, " second " etc. are for distinguishing
Different objects, are not use to describe a particular order.In addition, term " includes " and " having " and their any deformations, it is intended that
It is to cover and non-exclusive includes.Such as the process, method, system, product or equipment for containing a series of steps or units do not have
It is defined in listed step or unit, but optionally further comprising the step of not listing or unit, or optionally also wrap
Include other step or units intrinsic for these process, methods, product or equipment.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
As shown in Figure 1, a kind of data processing system provided by the invention, the data processing system include video monitor,
Sound transducer and server.It is understood that data processing system provided by the invention can be it is a kind of integrated
Equipment, such as the video monitor and sound transducer can integrate on that server.For example, which can be with
It is a kind of electronic equipment with computing capability.The electronic equipment can be handheld device, mobile unit, wearable device, meter
Calculate equipment or be connected to radio modem other processing equipments and various forms of user equipment (User
Equipment, UE), mobile station (Mobile Station, MS), terminal device (terminal device) etc..
It describes in detail below to the embodiment of the present application.
Referring to Fig. 2, Fig. 2 is the flow diagram for a kind of method that the embodiment of the present application provides security monitoring, application
In electronic equipment；As shown, the method for safety monitoring includes:
S101, the sound in ambient enviroment is obtained by sound transducer, wherein the sound transducer is mounted on described
In elevator；
Wherein, it should be pointed out that system or electronic apparatus application provided by the invention are in elevator.
For example the sound transducer may be mounted on elevator wall or ceiling.The quantity of sound transducer can have
It is one or more.
It is understood that the quantity of sound transducer can be determined according to the weight that elevator can load, root can also be
It is determined according to volume.For example, the elevator of 800KG of weighing can install 1 sound transducer in the centre of ceiling, be greater than
The elevator of 800GK load-bearing can install 4 sound transducers on four sides of ceiling.
It is understood that starting sound transducer when detecting that someone enters elevator to obtain in ambient enviroment
Sound.Wherein, it should be pointed out that the sound in ambient enviroment can be the sound of elevator interior.
It is understood that sound transducer can be closed when detecting that someone leaves elevator to save electricity.
S102, the decibel for determining the sound obtained；
It is understood that the sound transducer can integrate or connect a decibel instrument.It is determined by decibel instrument
The decibel of the sound of acquisition.
It should be pointed out that decibel instrument is a kind of instrument of noise testing.Decibel instrument is generally by condenser microphone, preposition
The composition such as amplifier, attenuator, amplifier, spectrum overlapping network and virtual value display.The working principle of sound level meter is: by
Microphone converts tones into electric signal, then by preamplifier transforming impedance, matches microphone with attenuator.Amplifier will
Output signal is added to weighting network, spectrum overlapping (or external filters) is carried out to signal, then again through attenuator and amplifier
It may amplify the signal to certain amplitude, be sent to rms detector (or outside by level recorder), then determine noise sound level
Numerical value.
If the decibel of sound of S103, the acquisition are greater than default decibel, the people of all persons in the elevator is obtained
Face image；
It is understood that default decibel can be and manually set, it is also possible to system default, is also possible to going through
History data carry out analysis determination.
Wherein it is possible to understand, there is data to suggest that, 1 decibel indicates the sound that can have just heard, 15 decibels or less feeling peaces
Quiet, 30 decibels of volumes for indicating whisper in sb.'s ear, 40 decibels of buzzs for being equivalent to refrigerator, 60 decibels indicate the sound normally talked
Sound, 70 decibels can be comparable to go to business district, and 80 decibels are equivalent to automobile and shuttle on road, and 90 decibels are equivalent to motor
The sound etc. of vehicle starting, no longer enumerates herein.
Therefore, default decibel can be 60 decibels, the numerical value such as 70 decibels.That is if occurring giving great volume in elevator
In the volume of normally talk sound, it is necessary to further be paid close attention to.
It is further alternative, it, can be to past one end if the decibel of the sound of the acquisition is greater than default decibel
The part picture in monitor video recorded in time is identified, to determine between the crowd in elevator with the presence or absence of dangerous dynamic
Make.Specifically, the described method includes: obtaining monitor default if the decibel of the sound of the acquisition is greater than default decibel
The monitor video recorded in time, wherein the monitor is mounted in the elevator；Screenshot is carried out to the monitor video；
Feature extraction is carried out to the screenshot of acquisition；The feature of extraction is input in action model and carries out action recognition to obtain identification knot
Fruit；If there are security risks for the recognition result instruction, closes the elevator and notify administrator.In addition, it is also stated that
, it is described by the feature of extraction be input in action model carry out action recognition to obtain recognition result before, the method
Further include: obtain history picture relevant to personage's conflict；Using machine learning algorithm to the history picture be trained with
Obtain the action model.
Wherein, common machine learning algorithm includes classification learning algorithm, supervised learning algorithm, Bayesian learning algorithm
Deng numerous to list herein.
Wherein, it should be pointed out that above-mentioned preset time period, which can be, to be manually arranged, and can also be system default
's.For example be 1 minute, 2 minutes, 5 minutes etc., herein with no restrictions.
For example, the history picture of the available a large amount of personage's conflict of server, and these history pictures are carried out
Feature extraction (such as movement of the expression, limbs of personage) is being trained to obtain these features using machine learning algorithm
Take action model.So, if the decibel of the sound obtained in elevator is greater than default decibel, monitor is obtained in past 3-
The monitor video recorded in 5 minutes；And (such as 3-5 seconds) carry out screenshot to the monitor video according to the preset time interval；
To the screenshot of acquisition carry out feature extraction (such as advanced recognition of face and limbs identification, it is then special to face characteristic and limbs
Sign carries out feature extraction)；The feature of extraction is input in action model and carries out action recognition to obtain recognition result；If described
Recognition result instruction there are security risk (if the characteristic matching in feature and action model that ratio extracts, illustrate there are people and
Conflict between people), then it closes the elevator and notifies administrator.It is understood that closing elevator can control scene, lead to
Know that administrator can carry out emergency processing in time, for example coordinate contradiction etc..
In addition, it is further noted that if if the recognition result indicates that there are security risks, in order to rear
It is continuous to restore course of the incident, it is necessary to which that monitor video is further processed.The described method includes: if the recognition result
There are security risks for instruction, then promote the storage period of the monitor video, and the monitor video is backed up.
For example, normal video can save 7 days, then the video of storage security risk can save one month.
It can certainly be persistence, can be deleted until receiving delete command.
It is understood that if only a server stores the video there are security risk, disaster tolerance
Ability is weaker.In order to guarantee can be backed up there are the reliability of security risk video.
In addition, it is further noted that the method also includes: if the decibel of the sound of the acquisition be greater than it is default
Decibel, then determine target person according to the monitor video, wherein it is default that the target person is that the decibel that makes a sound is greater than
The personage of decibel；The monitor is adjusted to be monitored to the target person.
It is understood that may further determine that target person, and key monitoring is carried out to target person.Such as it will prison
Device alignment target personage is controlled, the camera lens that then furthers carries out feature, and carries out storage of putting on record to the image of the target person.
S104, the facial image is matched with the image in default picture library；
Wherein, it should be pointed out that when, which can be the database connecting with police websites, image inventory
The dangerous person or wanted personage that the Chu Liao police announce.
For example, if the elevator is located at cell, which can be the suspicion of section local police station publication
Doubt people.
For example, if the elevator is located at market, it can store the personage for needing to find in default picture library.For example it wanders away
Child or old man image.Missing child can be alarmed, has and cries and screams, then just having biggish sound decibel.
If S105, successful match, are alerted according to predetermined manner.
Wherein it is understood that if successful match, i.e. recognition of face success can be to the guarantor for carrying mobile terminal
Peace or security personnel alarm.It is of course also possible to which direct voice broadcast or text prompting etc., numerous to list herein.
As can be seen that obtaining the sound in ambient enviroment by sound transducer, wherein described in the embodiment of the present application
Sound transducer is mounted in the elevator；Determine the decibel of the sound obtained；If the decibel of the sound of the acquisition is greater than pre-
If decibel, then the facial image of all persons in the elevator is obtained；By the image in the facial image and default picture library into
Row matching；If successful match is alerted according to predetermined manner.The embodiment provided through the invention, can be to building electricity
Sound decibel in ladder is identified, if the decibel of the sound identified is greater than default decibel and the face figure of the personage in elevator
As being matched with pre-set image, then actively alerted, thus the security protection dynamics of hoisting elevator.
Referring to Fig. 3, Fig. 3 is a kind of flow diagram of the method for security monitoring provided by the embodiments of the present application, intrinsic safety
The method monitored entirely includes:
S201, the sound in ambient enviroment is obtained by sound transducer, wherein the sound transducer is mounted on described
In elevator；
S202, the decibel for determining the sound obtained；
If the decibel of sound of S203, the acquisition are greater than default decibel, obtain monitor and record within a preset time
Monitor video, wherein the monitor is mounted in the elevator；
S204, screenshot is carried out to the monitor video；
S205, feature extraction is carried out to the screenshot of acquisition；
S206, by the feature of extraction be input in action model carry out action recognition to obtain recognition result；
Wherein, it should be pointed out that the described feature of extraction is input in action model carries out action recognition to obtain
Before recognition result, the method also includes: obtain history picture relevant to personage's conflict；Using machine learning algorithm to institute
History picture is stated to be trained to obtain the action model.
If there are security risks for the instruction of S207, the recognition result, closes the elevator and notify administrator.
Optionally, if there are security risks for recognition result instruction, the storage period of the monitor video is promoted, and
The monitor video is backed up.
Wherein, it should be pointed out that the relevant explanation of the present embodiment illustrates the content that can refer to embodiment shown in Fig. 2.
As can be seen that obtaining the screenshot of monitor video, and carry out feature extraction to screenshot, then in the embodiment of the present application
The feature of extraction is matched with action model, if successful match, is illustrated in elevator there may be interpersonal conflict,
It so just needs to carry out active alarm, for example seals off the area and notify administrator to carry out contradictory coordination.
Referring to Fig. 4, Fig. 4 is a kind of flow diagram of the method for security monitoring provided by the embodiments of the present application, intrinsic safety
The method monitored entirely includes:
S301, the sound in ambient enviroment is obtained by sound transducer, wherein the sound transducer is mounted on described
In elevator；
S302, the decibel for determining the sound obtained；
If the decibel of sound of S303, the acquisition are greater than default decibel, target person is determined according to the monitor video
Object, wherein the target person is the personage that the decibel made a sound is greater than default decibel；
S304, the adjustment monitor are to be monitored the target person.
S305, the storage period for promoting video corresponding to the target person, and the monitor video is backed up.
Wherein, it should be pointed out that the relevant explanation of the present embodiment illustrates the content that can refer to embodiment shown in Fig. 3.
As can be seen that in the embodiment of the present application, if the decibel of the sound of the acquisition is greater than default decibel, it is determined that target
Personage, and key monitoring is carried out to target person, for example adjustable monitor is directed at the target person, and the camera lens that furthers is to this
Personage, which carries out clearly video record, in order to facilitate subsequent processing can promote the storage period of the corresponding video of the target person.
Fig. 5 is the functional unit composition block diagram of mobile terminal 400 involved in the embodiment of the present application.Mobile terminal includes
Following functions unit:
Acquiring unit 401, for obtaining the sound in ambient enviroment by sound transducer, wherein the sound sensor
Device is mounted in the elevator；
Determination unit 402, for determining the decibel of the sound obtained；
Acquiring unit 401 obtains in the elevator if the decibel for being also used to the sound of the acquisition is greater than default decibel
The facial image of all persons；
Matching unit 403, for matching the facial image with the image in default picture library；
Alarm Unit 404 is alerted if being used for successful match according to predetermined manner.
Optionally, device 400 further includes screenshot unit, extraction unit, recognition unit and closed cell；
Acquiring unit obtains monitor default if the decibel for being also used to the sound of the acquisition is greater than default decibel
The monitor video recorded in time, wherein the monitor is mounted in the elevator；Screenshot unit, for the monitoring
Video carries out screenshot；Extraction unit, for carrying out feature extraction to the screenshot of acquisition；Recognition unit, the feature for will extract
It is input in action model and carries out action recognition to obtain recognition result；Closed cell, if being deposited for recognition result instruction
In security risk, then closes the elevator and notify administrator.
Optionally, device 400 further includes training unit；
Acquiring unit is also used to obtain history picture relevant to personage's conflict；
Training unit, for being trained to the history picture using machine learning algorithm to obtain the movement mould
Type.
Optionally, described device 400 further includes backup units；
The backup units promote the monitor video if there are security risks for recognition result instruction
Storage period, and the monitor video is backed up.
Optionally, described device further includes adjustment unit；
The determination unit, if the decibel for being also used to the sound of the acquisition is greater than default decibel, according to the monitoring
Video determines target person, wherein the target person is the personage that the decibel made a sound is greater than default decibel；
The adjustment unit, for adjusting the monitor to be monitored to the target person.
Wherein, acquiring unit 401, determination unit 402, matching unit 403 and Alarm Unit 404 can be used for executing reality
Method described in step 101-105 in example 1 is applied, description of the detailed in Example 1 to the method is specifically described, it is no longer superfluous herein
It states.
Fig. 6 is a kind of functional unit composition block diagram of the device 500 of data processing involved in the embodiment of the present application.It moves
Dynamic terminal includes following functions unit:
Acquiring unit 501, for obtaining the sound in ambient enviroment by sound transducer, wherein the sound sensor
Device is mounted in the elevator；
Determination unit 502, for determining the decibel of the sound obtained；
Acquiring unit 501 obtains monitor pre- if the decibel for being also used to the sound of the acquisition is greater than default decibel
If the monitor video recorded in the time, wherein the monitor is mounted in the elevator；
Screenshot unit 503, for carrying out screenshot to the monitor video；
Extraction unit 504, for carrying out feature extraction to the screenshot of acquisition；
Recognition unit 505 carries out action recognition for the feature of extraction to be input in action model to obtain identification knot
Fruit；
Wherein, said units can be used for executing method described in step 201-207, specific descriptions in embodiment 2 and be detailed in
Description of the embodiment 2 to the method, details are not described herein.
Fig. 7 is the functional unit composition block diagram of mobile terminal 600 involved in the embodiment of the present application.Mobile terminal includes
Following functions unit:
Acquiring unit 601, for obtaining the sound in ambient enviroment by sound transducer, wherein the sound sensor
Device is mounted in the elevator；
Determination unit 602, for determining the decibel of the sound obtained；
Determination unit 602 regards if the decibel for being also used to the sound of the acquisition is greater than default decibel according to the monitoring
Frequency determines target person, wherein the target person is the personage that the decibel made a sound is greater than default decibel；
Adjustment unit 603, for adjusting the monitor to be monitored to the target person.
Lift unit 604, for promoting the storage period of video corresponding to the target person；
Backup units 605, for backing up the monitor video.
Wherein, said units can be used for executing method described in step 301-305, specific descriptions in embodiment 3 and be detailed in
Description of the embodiment 3 to the method, details are not described herein.
Referring to Fig. 8, Fig. 8 is a kind of structural schematic diagram of the device 700 of data processing provided by the embodiments of the present application, such as
Shown in figure, the movement 700 includes application processor 710, memory 720, communication interface 730 and one or more programs
721, wherein one or more of programs 721 are stored in above-mentioned memory 720, and are configured by above-mentioned application
It manages device 710 to execute, one or more of programs 721 include the instruction for executing following steps:
The sound in ambient enviroment is obtained by sound transducer, wherein the sound transducer is mounted on the elevator
In；
Determine the decibel of the sound obtained；
If the decibel of the sound of the acquisition is greater than default decibel, the face figure of all persons in the elevator is obtained
Picture；
The facial image is matched with the image in default picture library；
If successful match is alerted according to predetermined manner.
Optionally, the implementation procedure further include:
If the decibel of the sound of the acquisition is greater than default decibel, the monitoring that monitor is recorded within a preset time is obtained
Video, wherein the monitor is mounted in the elevator；
Screenshot is carried out to the monitor video；
Feature extraction is carried out to the screenshot of acquisition；
The feature of extraction is input in action model and carries out action recognition to obtain recognition result；
If there are security risks for the recognition result instruction, closes the elevator and notify administrator.
Optionally, it is described by the feature of extraction be input in action model carry out action recognition with obtain recognition result it
Before, the implementation procedure further include:
Obtain history picture relevant to personage's conflict；
The history picture is trained to obtain the action model using machine learning algorithm.
Optionally, the implementation procedure further include:
If the recognition result instruction promotes the storage period of the monitor video there are security risk, and will be described
Monitor video is backed up.
Optionally, the implementation procedure further include:
If the decibel of the sound of the acquisition is greater than default decibel, target person is determined according to the monitor video,
In, the target person is the personage that the decibel made a sound is greater than default decibel；
The monitor is adjusted to be monitored to the target person.
As can be seen that obtaining the sound in ambient enviroment by sound transducer, wherein described in the embodiment of the present application
Sound transducer is mounted in the elevator；Determine the decibel of the sound obtained；If the decibel of the sound of the acquisition is greater than pre-
If decibel, then the facial image of all persons in the elevator is obtained；By the image in the facial image and default picture library into
Row matching；If successful match is alerted according to predetermined manner.The embodiment provided through the invention, can be to building electricity
Sound decibel in ladder is identified, if the decibel of the sound identified is greater than default decibel and the face figure of the personage in elevator
As being matched with pre-set image, then actively alerted, thus the security protection dynamics of hoisting elevator.
It is above-mentioned that mainly the scheme of the embodiment of the present application is described from the angle of method side implementation procedure.It is understood that
, in order to realize the above functions, it comprises execute the corresponding hardware configuration of each function and/or software mould for electronic equipment
Block.Those skilled in the art should be readily appreciated that, in conjunction with each exemplary unit of embodiment description presented herein
And algorithm steps, the application can be realized with the combining form of hardware or hardware and computer software.Some function actually with
Hardware or computer software drive the mode of hardware to execute, the specific application and design constraint item depending on technical solution
Part.Professional technician can specifically realize described function to each using distinct methods, but this reality
Now it is not considered that exceeding scope of the present application.
The embodiment of the present application can carry out the division of functional unit according to above method example to electronic equipment, for example, can
With each functional unit of each function division of correspondence, two or more functions can also be integrated in a processing unit
In.Above-mentioned integrated unit both can take the form of hardware realization, can also realize in the form of software functional units.It needs
It is noted that be schematical, only a kind of logical function partition to the division of unit in the embodiment of the present application, it is practical real
It is current that there may be another division manner.
The embodiment of the present application also provides a kind of computer storage medium, wherein computer storage medium storage is for electricity
The computer program of subdata exchange, the computer program make computer execute any as recorded in above method embodiment
Some or all of method step, above-mentioned computer include electronic equipment.
The embodiment of the present application also provides a kind of computer program product, and above-mentioned computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, above-mentioned computer program are operable to that computer is made to execute such as above-mentioned side
Some or all of either record method step in method embodiment.The computer program product can be a software installation
Packet, above-mentioned computer includes electronic equipment.
It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, related actions and modules not necessarily the application
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, such as the division of said units, it is only a kind of
Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or unit,
It can be electrical or other forms.
Above-mentioned unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If above-mentioned integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer-readable access to memory.Based on this understanding, the technical solution of the application substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment above method of the application
Step.And memory above-mentioned includes: USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory
The various media that can store program code such as (RAM, Random Access Memory), mobile hard disk, magnetic or disk.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can store in a computer-readable memory, memory
May include: flash disk, read-only memory (English: Read-Only Memory, referred to as: ROM), random access device (English:
Random Access Memory, referred to as: RAM), disk or CD etc..
The embodiment of the present application is described in detail above, specific case used herein to the principle of the application and
Embodiment is expounded, the description of the example is only used to help understand the method for the present application and its core ideas；
At the same time, for those skilled in the art can in specific embodiments and applications according to the thought of the application
There is change place, in conclusion the contents of this specification should not be construed as limiting the present application.
Claims (10)
1. a kind of method of security monitoring is applied in elevator, which is characterized in that the described method includes:
The sound in ambient enviroment is obtained by sound transducer, wherein the sound transducer is mounted in the elevator；
Determine the decibel of the sound obtained；
If the decibel of the sound of the acquisition is greater than default decibel, the facial image of all persons in the elevator is obtained；
The facial image is matched with the image in default picture library；
If successful match is alerted according to predetermined manner.
2. the method according to claim 1, wherein the method also includes:
If the decibel of the sound of the acquisition is greater than default decibel, the monitoring view that monitor is recorded within a preset time is obtained
Frequently, wherein the monitor is mounted in the elevator；
Screenshot is carried out to the monitor video；
Feature extraction is carried out to the screenshot of acquisition；
The feature of extraction is input in action model and carries out action recognition to obtain recognition result；
If there are security risks for the recognition result instruction, closes the elevator and notify administrator.
3. according to the method described in claim 2, it is characterized in that, the described feature of extraction is input in action model carries out
Before action recognition is to obtain recognition result, the method also includes:
Obtain history picture relevant to personage's conflict；
The history picture is trained to obtain the action model using machine learning algorithm.
4. according to the method described in claim 2, it is characterized in that, the method also includes:
If recognition result instruction there are security risk, promotes the storage period of the monitor video, and by the monitoring
Video is backed up.
5. the method stated according to claim 4, which is characterized in that the method also includes:
If the decibel of the sound of the acquisition is greater than default decibel, target person is determined according to the monitor video, wherein institute
Stating target person is the personage that the decibel made a sound is greater than default decibel；
The monitor is adjusted to be monitored to the target person.
6. a kind of safety monitoring device, which is characterized in that described device includes:
Acquiring unit, for obtaining the sound in ambient enviroment by sound transducer, wherein the sound transducer is mounted on
In the elevator；
Determination unit, for determining the decibel of the sound obtained；
The acquiring unit obtains institute in the elevator if the decibel for being also used to the sound of the acquisition is greater than default decibel
There is the facial image of personage；
Matching unit, for matching the facial image with the image in default picture library；
Alarm Unit is alerted if being used for successful match according to predetermined manner.
7. device according to claim 6, which is characterized in that described device further includes screenshot unit, extraction unit, identification
Unit and closed cell；
The acquiring unit obtains monitor default if the decibel for being also used to the sound of the acquisition is greater than default decibel
The monitor video recorded in time, wherein the monitor is mounted in the elevator；
The screenshot unit, for carrying out screenshot to the monitor video；
The extraction unit, for carrying out feature extraction to the screenshot of acquisition；
The recognition unit carries out action recognition for the feature of extraction to be input in action model to obtain recognition result；
The closed cell closes the elevator and notifies to manage if there are security risks for recognition result instruction
Member.
8. device according to claim 7, which is characterized in that described device further includes training unit；
The acquiring unit is also used to obtain history picture relevant to personage's conflict；
The training unit, for being trained to the history picture using machine learning algorithm to obtain the movement mould
Type.
9. device according to claim 7, which is characterized in that described device further includes backup units；
The backup units promote the storage of the monitor video if there are security risks for recognition result instruction
Time limit, and the monitor video is backed up.
10. the device stated according to claim 9, which is characterized in that the method also includes adjustment units；
The determination unit, if the decibel for being also used to the sound of the acquisition is greater than default decibel, according to the monitor video
Determine target person, wherein the target person is the personage that the decibel made a sound is greater than default decibel；
The adjustment unit, for adjusting the monitor to be monitored to the target person.
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| CN201910027572.1A CN109819210A (en) | 2019-01-11 | 2019-01-11 | A kind of method and device of security monitoring |
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| CN201910027572.1A CN109819210A (en) | 2019-01-11 | 2019-01-11 | A kind of method and device of security monitoring |
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Application publication date: 20190528 |