CN110532882A - Recognition of face safety alarm system and equipment based on embedded artificial intelligent chip - Google Patents
Recognition of face safety alarm system and equipment based on embedded artificial intelligent chip Download PDFInfo
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Abstract
The invention belongs to intelligent identification technology fields, disclose a kind of recognition of face safety alarm system and equipment based on embedded artificial intelligent chip, video data acquiring module is for acquiring video information；Data relay module is used to obtain the frame image in video information；Real-time detection module carries out live Face detection, identification for development board；Judgement is used for local development board with alarm module and obtains recognition result, and judges alert level, if alert level is excessively high, directly transmits warning message；Forwarding, storage of the data conversion storage module for data；Data acquisition module is sent to user mobile phone for video, so that user is obtained alarm result in time and handles.The present invention has the characteristics that directly to carry out real-time face identification, real time monitoring alarm, perpetuation of testimony and at low cost to the video of transmission, and user can be used directly cell phone application and play display real-time pictures.
Description
Technical field
The invention belongs to intelligent identification technology field more particularly to a kind of face knowledges based on embedded artificial intelligent chip
Other safety alarm system and equipment.
Background technique
Currently, the immediate prior art:
Security protection problem is always distinct issues in a life, and either all there is some by gate inhibition or monitor mode
Indeterminable problem, such as: Realtime Alerts, evidence video save, machine initiative recognition etc..Under this current big environment,
Either household safety-protection, shop security protection or company's security protection all be there is a problem that many, although visible security protection produces on the market
Product emerge one after another, but monitor in real time alarm means be it is not satisfactory, what is had can only monitor, some need touch red line,
Also some is to be gate inhibition, but these are all inflexible, is difficult to accomplish to prevent safely when tackling those experienced invaders
Shield.
The prior art cannot and alarm and cannot will invade the long-acting preservation of evidence, and recognition of face process is not perfect,
The product of nearly all energy recognition of face is all to send data to third-party server to identify, is not product itself identification, this
Sample just produces some problems (such as delay, safety, loss of data)；And partially intelligentized some product costs are generally higher.
In conclusion problem of the existing technology is:
(1) prior art does recognition of face mostly to rely on third-party server resource, this causes identification process to need
By network channel, then delay length is certainly existed, the problems such as loss of data, real-time performance is not caught up with regard to some yet.
(2) prior art can not achieve intelligent extraction invasion evidence and save, and can only save monitor video collected, this
It allows for being more troublesome when searching evidence.
(3) prior art is in the majority with entrance guard security system, and entrance guard security system can not ensure in region nobody completely.
(4) prior art cannot and alarm.
(5) the partially intelligentized product cost of the prior art is generally higher.
Solve the difficulty of above-mentioned technical problem:
Difficulty of the invention is how to replace the first extraction data progress server identification of legacy system mode then anti-
It is fed to mobile terminal and obtains recognition result；The alarm decision grade how changed in tradition is single, and warning effect is undesirable etc..For
It solves these problems and uses highly integrated artificial intelligence chip as identification hardware, while overcoming traditional alert mode
Unification, Intelligent treatment on-site supervision areas case, live evidence save etc., and retain user under traditional mode and can look at any time
See that the function of monitoring site situation, real-time performance are more much higher than traditional scheme.
Solve the meaning of above-mentioned technical problem:
It solves recognition of face and needs to rely on external server resource, shorten reaction process and the time of identification, and provide
The functions such as real time intelligent control, evidence store, alarm issues, realize the real time monitoring video identification early warning security protection system of complete set
System.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of, and the face based on embedded artificial intelligent chip is known
Other safety alarm system and method.
The invention is realized in this way a kind of recognition of face safety alarm system based on embedded artificial intelligent chip,
Specifically module includes:
Video data acquiring module, data relay module, real-time detection module, judgement and alarm module, data conversion storage mould
Block, data acquisition module.
Video data acquiring module: for acquiring video information；Including video capture device and transmission connectivity port, by taking the photograph
As head obtains video data and by connectivity port real-time Transmission to data relay module.
Data relay module: it for obtaining the frame image in video information, is then forwarded to processing unit；It is connect including data
By temporary storage module and micro treatment module, micro process is carried out by obtaining the data that upper level is sent, obtains the frame in data information
Image is sent in real time according to the frame number that detection identification module needs.
Real-time detection module: live Face detection, identification are carried out for development board；The frame image sended over is passed through
JetsonNano development board carries out real-time Face detection, identification operation, obtains recognition result.
Judgement and alarm module: recognition result is obtained for local development board, and alert level is judged, if alarm
Grade is excessively high, then directly transmits warning message；And recognition result is differentiated, obtain its corresponding alert level, grade compared with
User terminal is sent to when low to be confirmed whether to need to alarm, when grade is highest if skip data conversion storage and data acquisition module is straight
Receive and send warning message.
Data conversion storage module: forwarding, storage for data；Higher level's judgement and alarm mould are obtained by external network server module
Block obtains correct judging result, and video data is stored in the transmission that server end is next step users' mobile end and does standard
It is standby.
Data acquisition module: for sending the video to user mobile phone, user is made to obtain alarm result in time and locating
Reason；Mainly in the mobile terminal of user, user checks the video data obtained from server end, carries out judging whether to need in time
Carry out alert process.
Further, the real-time detection module judgement has stranger, then the data such as alert level is stored in development board and deposited
It stores up in space.The development board memory space is only used for storage evidence video.
Further, the data conversion storage module, system is by video data transmission to outer net SRS service routine, alarming result
It is sent to MQTT service routine, and video is stored in the memory space of the end PC.
Another object of the present invention is to provide the recognition of face peace based on embedded artificial intelligent chip described in a kind of carrying
The recognition of face security alarm equipment of anti-alarm system.
In conclusion advantages of the present invention and good effect are as follows:
The present invention acquires real-time video using camera, and recognition of face part is added in real-time video, all the time
Recognition of face is done, alarm form is taken directly to prompt the user with once detecting and having stranger in the monitoring area, can be solved
Certainly the problem of security protection real-time, and the problem of also can solve the direct perpetuation of testimony when invader swarms into, full set work is handed over
It is solved by computer.
Hardware resource using ARM intelligent integrated development board (Jetson Nano) as identification, can be directly to the view of transmission
Frequency carries out real-time face identification, and no need to send data to identify to third-party server.
It is real that the present invention can accomplish that cell phone application broadcasting display can be used directly in real time monitoring alarm, evidence preservation and user
When picture, and alarm system of the present invention is at low cost.
Detailed description of the invention
Fig. 1 is the recognition of face safety alarm system knot provided in an embodiment of the present invention based on embedded artificial intelligent chip
Structure schematic diagram.
In figure: 1, video data acquiring module；2, data relay module；3, real-time detection module；4, judgement and alarm mould
Block；5, data conversion storage module；6, data acquisition module.
Fig. 2 is the recognition of face safety alarm system work provided in an embodiment of the present invention based on embedded artificial intelligent chip
Make schematic diagram.
Fig. 3 is the recognition of face safety alarm system provided in an embodiment of the present invention based on embedded artificial intelligent chip
Workflow text block diagram.
Fig. 4 is the recognition of face safety alarm system provided in an embodiment of the present invention based on embedded artificial intelligent chip
The data flow diagram of image information.
Fig. 5 is provided in an embodiment of the present invention by warning message upload server schematic diagram.
Fig. 6, which is video data transmission provided in an embodiment of the present invention, separately deposits flow chart to distal end.
Fig. 7 is recognition of face False Rate figure provided in an embodiment of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
The prior art cannot and alarm.The partially intelligentized product cost of the prior art is generally higher.
In view of the problems of the existing technology, the present invention provides a kind of, and the face based on embedded artificial intelligent chip is known
Other safety alarm system and equipment, are with reference to the accompanying drawing explained in detail the present invention.
Hardware device system used by the embodiment of the present invention is based on NVIDIA company in newest in 2019 conference of GTC
The Jetson Nano development board of publication, small-sized but powerful CUDA-X AI, which is calculated as running modern AI workflow, to be provided
The calculated performance of 472 kilomegabits.There is energy conservation again, power consumption is down to 5 watts.Jetson Nano development board includes one piece of 4 core
A57CPU, 128 core Maxwell framework GPU and 4G memories.It is at least one times more powerful than traditional raspberry pie development board performance, more suitable
The hardware for closing the embodiment of the present invention just needs.
And in model selection, it is more heavily weighted toward lightweight and Performance optimization, it is deep using the open source for having obtained MIT License
Degree study human face recognition model MobileFaceNet the advantage is that required amount of ram very little when model operates normally, but model
Discrimination is higher than 99.47% again, and the embodiment of the present invention carries out applicability optimization and improvement on the basis of its script model, increases
The grade judgement of user terminal face database being autonomously generated after system and model identification.
Warning message transmitting terminal, the embodiment of the present invention increase transfer transition end external network server, send for development board
Identification information reception and user terminal information push, be connected with the users' mobile end APP of autonomous Design, push to APP
Interface plays evidence video in real time, and provides the convenient method of Rapid Alarm.
As shown in Fig. 1 to 2, the recognition of face security protection report provided in an embodiment of the present invention based on embedded artificial intelligent chip
Alert system includes:
Video data acquiring module 1, data relay module 2, real-time detection module 3, judgement and alarm module 4, data turn
Storing module 5, data acquisition module 6.
Video data acquiring module 1, for acquiring video information.
Then data relay module 2 is forwarded for obtaining the frame image in video information to processing unit.
Real-time detection module 3 carries out live Face detection, identification for development board.
Judgement and alarm module 4 obtain recognition result for local development board, and judge alert level, if alert
It reports grade excessively high, then directly transmits warning message.
Data conversion storage module 5, forwarding, storage for data.
Data acquisition module 6, for sending the video to user mobile phone, user can be handled in time after obtaining alarm result.
In embodiments of the present invention, video data acquiring module 1: including video capture device and transmitting connectivity port, by
Camera obtains video data and by connectivity port real-time Transmission to data relay module.
Data relay module 2: receiving temporary storage module and micro treatment module including data, the number sent by obtaining upper level
According to micro process is carried out, the frame image in data information is obtained, is sent in real time according to the frame number that detection identification module needs.
Real-time detection module 3: the frame image sended over is subjected to real-time face by Jetson Nano development board and is determined
Position, identification operation, obtain recognition result.
Judgement and alarm module 4: local development board obtains recognition result, and judges alert level, if alarm etc.
Grade is excessively high, then directly transmits warning message；Recognition result is differentiated, its corresponding alert level is obtained, when grade is lower
User terminal is sent to be confirmed whether to need to alarm, when grade is highest if skip data conversion storage and data acquisition module and directly send out
Send warning message.
Data conversion storage module 5: higher level's judgement is obtained by external network server module and obtains correctly judging to tie with alarm module
Fruit, and video data is stored in the transmission that server end is next step users' mobile end and is prepared.
Data acquisition module 6: mainly in the mobile terminal of user, user checks the video data obtained from server end,
It carries out judging whether to need to carry out alert process in time.
In embodiments of the present invention, in real-time detection module 3, if system judgement has stranger, by alert level etc.
Data are stored in development board memory space.Development board memory space is only used for storage evidence video.
In embodiments of the present invention, in data conversion storage module 5, video data transmission to outer net SRS is serviced journey by system
Sequence, alarming result is sent to MQTT service routine, and video is stored in the memory space of the end PC.
Recognition of face safety alarm system provided in an embodiment of the present invention based on embedded artificial intelligent chip, application
In, video data acquiring module 1 is acquired video information；In data relay module 2, the frame figure in video information is obtained
Then picture is forwarded to processing unit；In real-time detection module 3 after development board is positioned, identified to live face, judgement with
Alarm module 4 obtains development board recognition result, and judges alert level, if alert level is excessively high, directly
Send warning message；Then through data conversion storage module 5 by video data transmission to outer net SRS service routine, alarming result is sent
To MQTT service routine；Finally be sent to user mobile phone via 6 video of data acquisition module, user obtain alarm as a result, can and
When handle.
Below with reference to operation logic, the invention will be further described.
A kind of recognition of face safety alarm system fortune based on embedded artificial intelligent chip provided in an embodiment of the present invention
Row principle includes: video acquisition；Face detection, recognition of face；Alert level judgement, evidence storage, warning message upload service
Device；Video data transmission is separately deposited to distal end, video uploads external network server；User terminal video information is shown, warning message obtains.
In embodiments of the present invention, video acquisition includes:
Camera data is obtained using the library language call opencv python, video information is directly read into memory, then
Etc. to be identified and transmission.
In embodiments of the present invention, Face detection, recognition of face include:
Face detection: Face detection is realized using deep learning model M TCNN, the extraction of human face data is completed, is used for down
One step recognition of face；
Recognition of face: it realizes that face vector extracts using deep learning model M obileFaceNet, obtains face characteristic value
Vector, calculates its face vector Euclidean distance size imported with initialization, and whether setting threshold decision Euclidean distance belongs to
Threshold interval then can determine whether that face whether there is in the face vector library imported to reversely judge whether comprising stranger.
In embodiments of the present invention, alert level judgement, evidence storage, warning message upload server include:
Alert level judgement, evidence storage: be classified alarm according to recognition result, can be divided into three grades: level-one is alert
Report: monitoring area is containing only stranger；Second-level alarm: monitoring area stranger and the people recognized exist simultaneously；Three-level alarm: prison
Control region nobody or only exist the people recognized.
If it is determined that being primary alarm, then trigger data unloading module, by the face feature of invader and action situation video
As evidence Locale Holding on machine (JetsonNano development board).
Warning message upload server: as shown in fig. 6, sending the alert level determined in 0,1,2 form
MQTT server, server are only responsible for these data of transfer, and not responsible alarm makes a decision, and judgement transfers to cell phone application program to judge.
In view of network transmission is there may be offline condition, the mode that short message PUSH message can be added in alarm module realizes that secondary alarm pushes away
It send.
In embodiments of the present invention, video data transmission is separately deposited to distal end, video uploads external network server and includes:
Video data transmission is separately deposited to distal end: as shown in fig. 7, using the ICP/IP protocol of internet, being built with remote host
Vertical connection sends data, and video information is storable in be established on the computer that socket is connect with it, this computer is usually
Another computer being set as in local area network can be used outer net computer as storage resource if any indult.
Video uploads external network server: after another computer under local area network gets data, while saving,
By the server (srs, Red5 etc.) of video frame transmission to RTMP agreement, user hand generator terminal can use APP to server at this time
It pulls video information and receives the method that the information that MQTT server transport comes is alarmed as prompt in real time.
In embodiments of the present invention, user terminal video information is shown, warning message acquisition includes:
User terminal mobile phone APP can show real time monitoring picture by the way of pulling RTMP video flowing, while by MQTT
Even if message obtain and can reach real time alarm function.It can alarm to ensure network connection failure also while also increase short message report
Alert notice.
The present invention is further explained below with reference to the term that the present invention uses.
In embodiments of the present invention, the library opencv: an image processing module of computer open source, for obtaining camera
Data.ICP/IP protocol: network communication protocol, internet communication architecture.MobileFaceNet: a kind of deep learning
Intelligent recognition model, can be used for the functions such as machine recognition image, and essence is exactly that the matrix of image slices vegetarian refreshments calculates.MTCNN: wide
A general model for deep learning Face detection, function are exactly to realize face location alignment in image, search etc..Depth
Study: feature extraction is done to input data using compuman's artificial neural networks, to reach the ability that machine learns similar to human brain.
In embodiments of the present invention, JetsonNano development board: in April, 2019 has height up to what company released by tall and handsome
Integrated embedded (ARM) development board that can support deep learning.Matrix convolution operation: artificial neural network in computer deep learning
The bottom calculation of network, is present in CNN neural network.
In embodiments of the present invention, human face recognition model: the black box calculated for recognition of face, the model is practical to be exactly
One group of extremely complex mathematical formulae, only he is from computer learning, after image is calculated by the mathematical formulae
Another group of data are just obtained, this group of data can serve as the foundation of classification.RTMP agreement: Real Time Messaging
Protocol (real-time messages transport protocol), can be with real-time transmission of video by a kind of streaming media transmission protocol of Flash Adoub
Frame, but need intermediate server as terminal.Third party instruction under ffmpeg:Linux operating system, is capable of handling
The data of the image information of some complexity.MQTT agreement: Message Queuing Telemetry Transport (message team
Column telemetering transport protocol) by a kind of agreement of the IBM instant messaging released, it is transmitted for message, relies on intermediate server transfer
Transmit message.
You is given to the present invention combined with specific embodiments below not describe.
Embodiment
In embodiments of the present invention, Fig. 3 is the face provided in an embodiment of the present invention based on embedded artificial intelligent chip
Identify the workflow text block diagram of safety alarm system.Fig. 4 is provided in an embodiment of the present invention based on embedded artificial intelligence
The data flow diagram of the image information of the recognition of face safety alarm system of chip.Fig. 5 is provided in an embodiment of the present invention by alarm
Information upload server schematic diagram.Fig. 6, which is video data transmission provided in an embodiment of the present invention, separately deposits flow chart to distal end.
Five groups of the face recognition accuracy rate that the following are embedded intelligent chips in living based on true monitor video
Test result, the data comprising 1,000 frames or so in each group, each group is all to first pass through machine recognition to be sentenced by manual identified again
The disconnected result obtained.In following table, it (is only to occur in experiment that first row represents anyone label that will appear in life herein
People, using initials as label)；Secondary series indicates whether intelligent chip can identify this person (understanding this person)；Third column
Really to occur the number of the people in this Framed Data；4th column indicate the actually detected number for coming out the people of recognizer, the
Five are classified as the recognition accuracy of corresponding label.Because in every Framed Data centainly whether there is or not face occur frame, no face
Frame may include multiple faces in one frame data, but " the actual number that can not be embodied herein, but one is arranged with e tag representation
Amount " add up it can be concluded that summation be greater than totalframes as a result, and can illustrate to have partial data frame to include multiple faces.
The identification accuracy that can illustrate scheme in these data, may be very high for the recognition accuracy of certain people,
The others's discrimination is also possible to relatively low, but when frequency of occurrence is larger, available biggish identification is quasi-
Really.Special circumstances explanation: since the m label people in five groups of experiments is that band cap occurs, since cap may block face's letter
Breath, so relatively low compared with being compared with other tag recognition rates.
Meanwhile the false judgment in five groups of experiments embodies in table six, judge situation by accident: A → B is indicated label A
It has judged by accident into label B；Frame number: for false judgment number；Mistake totalframes: for the totalframes to malfunction in this experiment；False Rate:
To there is the probability of false judgment in this experiment.In contrast ratio is lower for its total erroneous judgement frame number, as a result more considerable；Such as
It is total ratio of error figure shown in Fig. 7.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (10)
1. a kind of recognition of face safety alarm system based on embedded artificial intelligent chip, which is characterized in that described based on embedding
The recognition of face safety alarm system for entering formula artificial intelligence chip includes:
Video data acquiring module, for acquiring video information；
Then data relay module is forwarded for obtaining the frame image in video information to processing unit；
Real-time detection module carries out live Face detection, identification for development board；
Judgement and alarm module obtain recognition result for local development board, and judge alert level, if alert level
It is excessively high, then directly transmit warning message；
Data conversion storage module, forwarding, storage for data；
Data acquisition module, for sending the video to user mobile phone, user obtains alarm as a result, processing in time.
2. the recognition of face safety alarm system as described in claim 1 based on embedded artificial intelligent chip, feature exist
In video data acquiring module includes video capture device and transmission connectivity port, is obtained video data by camera and is passed through
Connectivity port real-time Transmission is to data relay module.
3. the recognition of face safety alarm system as described in claim 1 based on embedded artificial intelligent chip, feature exist
In data relay module includes that data receive temporary storage module and micro treatment module, is carried out by obtaining the data that upper level is sent
Micro process obtains the frame image in data information, is sent in real time according to the frame number that detection identification module needs.
4. the recognition of face safety alarm system as described in claim 1 based on embedded artificial intelligent chip, feature exist
In the frame image sended over is carried out real-time Face detection, identification by Jetson Nano development board by real-time detection module
Operation obtains recognition result.
5. the recognition of face safety alarm system as described in claim 1 based on embedded artificial intelligent chip, feature exist
In the real-time detection module is also used to judge there is stranger, then the data such as alert level is stored in development board memory space
It is interior.
6. the recognition of face safety alarm system as described in claim 1 based on embedded artificial intelligent chip, feature exist
In judgement is also used to local development board with alarm module and obtains recognition result, and judges alert level, if alert level
It is excessively high, then directly transmit warning message；Recognition result is differentiated, its corresponding alert level is obtained, is sent out when grade is lower
Send to user terminal and be confirmed whether to need to alarm, when grade is highest if skip data conversion storage and data acquisition module directly transmits
Warning message.
7. the recognition of face safety alarm system as described in claim 1 based on embedded artificial intelligent chip, feature exist
In data conversion storage module obtains higher level's judgement by external network server module and obtains correct judging result with alarm module, and will
Video data is stored in the transmission that server end is next step users' mobile end and prepares.
8. the recognition of face safety alarm system as described in claim 1 based on embedded artificial intelligent chip, feature exist
In data conversion storage module is also used to video data transmission to outer net SRS service routine, and alarming result is sent to MQTT service journey
Sequence, and video is stored in the memory space of the end PC.
9. the recognition of face safety alarm system as described in claim 1 based on embedded artificial intelligent chip, feature exist
In data acquisition module is mounted on the mobile terminal of user, and user checks the video data obtained from server end, sentenced in time
It is disconnected whether to need to carry out alert process.
10. a kind of people for carrying the recognition of face safety alarm system based on embedded artificial intelligent chip described in claim 1
Face identifies security alarm equipment.
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| CN114745229A (en) * | 2022-02-15 | 2022-07-12 | 成都臻识科技发展有限公司 | Embedded AI video gateway and implementation method thereof |
| CN114745229B (en) * | 2022-02-15 | 2024-04-12 | 成都臻识科技发展有限公司 | Embedded AI video gateway and implementation method thereof |
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