CN104464152A - Valuable anti-theft system and method based on human face recognition and RFID - Google Patents

Valuable anti-theft system and method based on human face recognition and RFID Download PDF

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Publication number
CN104464152A
CN104464152A CN201410760818.3A CN201410760818A CN104464152A CN 104464152 A CN104464152 A CN 104464152A CN 201410760818 A CN201410760818 A CN 201410760818A CN 104464152 A CN104464152 A CN 104464152A
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Prior art keywords
valuables
information
face
main control
module
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CN201410760818.3A
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CN104464152B (en
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周冬梅
杨磊
任艳珍
孙小淋
刘锦容
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Chengdu Univeristy of Technology
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Chengdu Univeristy of Technology
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/22Electrical actuation
    • G08B13/24Electrical actuation by interference with electromagnetic field distribution
    • G08B13/2402Electronic Article Surveillance [EAS], i.e. systems using tags for detecting removal of a tagged item from a secure area, e.g. tags for detecting shoplifting
    • G08B13/2405Electronic Article Surveillance [EAS], i.e. systems using tags for detecting removal of a tagged item from a secure area, e.g. tags for detecting shoplifting characterised by the tag technology used
    • G08B13/2414Electronic Article Surveillance [EAS], i.e. systems using tags for detecting removal of a tagged item from a secure area, e.g. tags for detecting shoplifting characterised by the tag technology used using inductive tags
    • G08B13/2417Electronic Article Surveillance [EAS], i.e. systems using tags for detecting removal of a tagged item from a secure area, e.g. tags for detecting shoplifting characterised by the tag technology used using inductive tags having a radio frequency identification chip
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed circuit television systems, i.e. systems in which the signal is not broadcast

Abstract

The invention discloses a valuable anti-theft system and method based on human face recognition and an RFID. The anti-theft system comprises a radio frequency recognition system, a camera data collecting system and a main control computer system. The radio frequency recognition system and the camera data collecting system are connected with the main control computer system. The main control computer system comprises a human face recognition system and a user interface system. The anti-theft method comprises the following steps of information inputting, standby, awakening of the radio frequency recognition system under the standby state, awakening of the camera data collecting system under the standby state, head recognizing, human-computer interacting and automatic standby. According to the valuable anti-theft system and method based on human face recognition and the RFID, real-time and automatic anti-theft is carried out on objects based on human face recognition and the RFID, whether the object is taken out or stolen is effectively recognized, the taking-out and taking-back of the object are recorded, and normal traveling of people is not affected.

Description

Based on antitheft system for valuables and the theft preventing method thereof of recognition of face and RFID
Technical field
The present invention relates to article anti-theft field, particularly a kind of antitheft system for valuables based on recognition of face and RFID and theft preventing method thereof.
Background technology
In community, dormitory, the people such as company live and the place of work, and must house some valuables, as notebook, antique, mobile phone etc., the value due to self makes these article can become the target of pilferage unavoidably.In order to make people have a good living environment, the safety of effective protection personal property, it is necessary for creating a burglary-resisting system.The domestic and international system for article anti-theft adopts more mode to mainly contain four kinds at present: electromagnetic anti-theft, bar code are antitheft, camera head monitor, GPS/GPRS locating anti-theft.When realizing the automatic antitheft of the various valuables to most people, all there is various different drawback in these systems, although wherein electromagnetism and bar code is antitheft can the existence of effective test item, but can not effectively be taken out of by owner and taken out of by thief by identify objects; Camera head monitor not easily finds taking out of of small article, and can not the discrepancy information of feedback article of real-time; GPS/GPRS locating anti-theft is only confined to the mobile electronic products such as mobile phone, and can not monitor miscellaneous equipment.It is antitheft that existing burglary-resisting system is not suitable for numerous valuables, do not reach accurately and effectively antitheft requirement.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, a kind of antitheft system for valuables based on recognition of face and RFID and theft preventing method thereof are provided, based on recognition of face and RFID, article are carried out in real time and automatic antitheft, whether whether identify objects taken out of and stolen effectively, taking out of to bring back and carry out record article, do not affect the normal trip of people, more convenient, the present invention only needs to arrange a set of burglary-resisting system in exit, each valuables pastes an electronic tag, with low cost, consume energy low, antitheft process full automatic working, be provided with user interface, be easy to carry out man-machine interaction, workable.
The object of the invention is to be achieved through the following technical solutions: based on the antitheft system for valuables of recognition of face and RFID, it comprises radio-frequency recognition system, camera data acquisition system (DAS) and main control computer system, and radio-frequency recognition system is connected with main control computer system respectively with camera data acquisition system (DAS), described radio-frequency recognition system comprises reader, electronic tag and radio frequency main control module, reader is used for the numbering of reading electronic labels, electronic tag is for binding valuables, and emitting radio frequency signal, radio frequency main control module is used for sending to reader reading instruction and electronic labeling information being transferred to main control computer system, described camera data acquisition system (DAS) comprises USB camera and camera master controller, and USB camera is for gathering the head portrait of valuables carrier, and camera master controller is opened for controlling camera, and transmits signals to main control computer system, described main control computer system comprises face identification system and user interface system, face identification system comprises face detection module, image pre-processing module, feature point extraction module and face matching module, described face detection module completes carries out recognition of face to the image of camera collection, facial image pre-service is mainly become standard picture by image pre-processing module, feature point extraction module mainly carries out feature point extraction to standard picture, the unique point of the facial image collected mainly is mated with the user images of system storage by face matching module, user interface system comprises valuables Registration Module, for registering the possessory information of valuables, valuables information and corresponding electronic tag numbering.
Described main control computer system also comprises user interface system, and user interface system comprises student information management module, valuables Registration Module, dormitory information enquiry module and comprehensive inquiry module.
Described student information management module shows in real time and upgrades exit Item Information state, and valuables Registration Module, dormitory information enquiry module and comprehensive inquiry module can carry out the registration of valuables information, for operating personnel provide information.
Based on the theft preventing method of the antitheft system for valuables of recognition of face and RFID, it comprises following sub-step:
S1: build the antitheft system for valuables based on recognition of face and RFID, on each valuables, electronic tag is installed respectively, adopts valuables Registration Module that the electronic tag of possessory for valuables information, valuables information and correspondence is numbered common typing main control computer system;
S2: standby: when electronic tag signal not detected, whole system is in idle pulley;
S3: the waking up of radio-frequency recognition system under holding state: when the electronic tag be positioned on valuables being detected, radio-frequency recognition system sends image pick-up signal to camera data acquisition system (DAS), read the information on card simultaneously, after completing, the user profile on electronic tag is sent to main control computer system;
S4: the waking up of camera data acquisition system (DAS) under holding state: after the signal that camera data acquisition system (DAS) receives from radio-frequency recognition system, camera master controller is opened camera and is carried out image acquisition, and view data is sent to main control computer system;
S5: head portrait identification: after main control computer system acceptance to the information from camera data acquisition system (DAS) and radio-frequency recognition system, search database, find the user head image information corresponding with this electronic tag, and by its with camera data acquisition system to head portrait mate;
S6: man-machine interaction: the result of recognition of face shows by user interface system, if the match is successful, then responds, if mate unsuccessful, reports to the police;
S7: automatic stand-by: when certain hour does not detect radiofrequency signal, then automatically enter idle pulley.
Information on radio-frequency recognition system reading electronic labels in described step S2 comprises following sub-step:
A. initiating reader;
When radiofrequency signal B. being detected, match, read instruction by serial mode to reader transmission simultaneously;
C. the information read is sent to main control computer system;
When D. there is no radiofrequency signal, enter holding state.
In described S4, head portrait identification step comprises Face datection, and Face datection adopts Adaboost Face datection algorithm, and it comprises following sub-step:
(1) extract the Haar feature in testing image, therefrom select optimum unique point through training;
(2) be corresponding simple classification device by the eigentransformation selected;
(3) by the simple classification device all obtained by optimizing and combining, produce synthesis cascade classifier.
Described valuables owner information comprises: valuables owner head portrait, contact method, institute in the bedroom, student number and professional class, valuables information comprises: valuables image, valuables kind and model.
The invention has the beneficial effects as follows: the invention provides a kind of antitheft system for valuables based on recognition of face and RFID and theft preventing method thereof, based on recognition of face and RFID, article are carried out in real time and automatic antitheft, whether whether identify objects taken out of and stolen effectively, taking out of to bring back and carry out record article, do not affect the normal trip of people, more convenient, the present invention only needs to arrange a set of burglary-resisting system in exit, each valuables pastes an electronic tag, with low cost, consume energy low, antitheft process full automatic working, be provided with user interface, be easy to carry out man-machine interaction, workable.Technology all comparative maturities of each components of system as directed that system adopts, be enough to meet and antitheft requirement carried out to multiple article simultaneously: radio-frequency recognition system completes and reads the information of the radio-frequency card be arranged on valuables, and carry out data communication with main control computer system, complete the real-time monitoring and control of the valuables to exit; The USB camera driven by camera master controller, after receiving collection picture signal, is given an order to camera, the image data of collection has been sent to main control computer system by serial ports; The face identification system of main control computer system, by identifying static images, makes the real-time of identification be greatly improved, and recognition result has been transferred back to user interface; The display of user interface system Foreground Data is made up of the jsp page, and back-end data process completes primarily of Servlet, achieves the relative separation that data processing and data show.
Accompanying drawing explanation
Fig. 1 is burglary-resisting system structured flowchart;
Fig. 2 is burglary-resisting system application distribution block diagram;
Fig. 3 is camera Data Collection Software based block diagram;
Fig. 4 is camera data acquisition system (DAS) hardware block diagram;
Fig. 5 is theft preventing method process flow diagram;
Fig. 6 is face identification process figure;
Fig. 7 is Adaboost Face datection algorithm flow chart.
Embodiment
Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail, but protection scope of the present invention is not limited to the following stated.
As depicted in figs. 1 and 2, based on the antitheft system for valuables of recognition of face and RFID, it comprises radio-frequency recognition system, camera data acquisition system (DAS) and main control computer system, and radio-frequency recognition system is connected with main control computer system respectively with camera data acquisition system (DAS), described radio-frequency recognition system comprises reader, electronic tag and radio frequency main control module, reader is used for the numbering of reading electronic labels, electronic tag is for binding valuables, and emitting radio frequency signal, radio frequency main control module is used for sending to reader reading instruction and electronic labeling information being transferred to main control computer system, described camera data acquisition system (DAS) comprises USB camera and camera master controller, and USB camera is for gathering the head portrait of valuables carrier, and camera master controller is opened for controlling camera, and transmits signals to main control computer system, described main control computer system comprises face identification system and user interface system, face identification system comprises face detection module, image pre-processing module, feature point extraction module and face matching module, described face detection module completes carries out recognition of face to the image of camera collection, facial image pre-service is mainly become standard picture by image pre-processing module, feature point extraction module mainly carries out feature point extraction to standard picture, the unique point of the facial image collected mainly is mated with the user images of system storage by face matching module, user interface system comprises valuables Registration Module, for registering the possessory information of valuables, valuables information and corresponding electronic tag numbering.
Described main control computer system also comprises user interface system, and user interface system comprises student information management module, valuables Registration Module, dormitory information enquiry module and comprehensive inquiry module.
Described student information management module shows in real time and upgrades exit Item Information state, and valuables Registration Module, dormitory information enquiry module and comprehensive inquiry module can carry out the registration of valuables information, for operating personnel provide information.
Described radio-frequency recognition system is based on radio frequency chip nRF905 and arm processor, and the frequency of operation of selecting system is 915MHz, and radio-frequency (RF) identification scope is two meters; Described camera data acquisition system (DAS) is the data acquisition system (DAS) based on S5PV210; Described face identification system is based on 2DPCA feature extraction algorithm; Described user interface system is based on jsp technology.
The radio frequency main control module of radio-frequency recognition system adopts S3C2440A, S3C2440A is the high-performance 32 bit processor of a employing ARM920T kernel, its dominant frequency is up to 405 MHz, adopt 5 level production lines and Harvard structure, achieve MMU, AMBA, BUS and Harvard cache hierarchy structure.The MMU of S3C2440A treatment tool 16/32 RSIC architecture and the powerful instruction set of ARM920T kernel, reinforcement makes processor to support WinCE, EPOC32 and Linux, support ARM debug architecture, 8 memory areas, bank0 to bank6 start address and size are fixed, bank7 has programmable start address and size, support are large/and small end mode, have employed 4KB internal buffer and carry out starting, there is the feature such as abundant interface resource, employing 289-FBGA encapsulation.
RFID reader is based on nRF905, and communication frequency 915MHz, communication distance is two meters.Reader is positioned at the top of outlet, and radio-frequency card is fixed on valuables.Just can monitor in real time it when there being valuables to pass in and out.NRF905 can be operated in 433/868/915MHz tri-frequency ranges, and its operating voltage is 1.9-3.6V.Have four kinds of mode of operations, i.e. power down, standby, Shock Burst receive and Shock Burst sending mode, and the Shock Burst mode of operation of wherein low-power consumption can produce lead code and CRC automatically.NRF905 comprises fully-integrated frequency modulator, the receiver being with detuner, power amplifier, regulator and crystal oscillator 5 functional modules, therefore its peripheral circuit is simply without the need to the SAW filter of outside.When hardware circuit design, peripheral circuit is also less, and chip can complete Manchester's cde/decoding automatically, thus when Software for Design different designs communications protocol, can shorten like this construction cycle and reduce cost of development.
As shown in Figure 4, camera data acquisition system (DAS) hardware is primarily of three part compositions, and one is image acquisition section, and it is mainly realized by USB camera; Part II camera master controller, that adopt is the tiny210v of Samsung, and it is using S5PV210 as controller, has also carried the interface circuit of many peripheries simultaneously, can carry out with PC easily communicating and the download of program, compare the hardware platform being suitable as the embedded development initial stage; Three parts are display modules, realize man-machine interaction by LCD touch screen.As shown in Figure 3, camera Data Collection Software based part, primarily of four part compositions, is USB camera driver, linux kernel and root file system and user application respectively.Driver mainly completes the initialization of camera and the carry of equipment and unloading; The bottom core of linux kernel construction system software together with BOOT program, realizes the Management And Organization to consumer process; Root file system is as the interface of system kernel and application program, and its effect mainly facilitates the mutual of application program and kernel, makes it can call kernel and program.The application program important channel that to be user realize with system exchanges, it can make user's principle of work of separating internal system that is out of use just can use system easily.
As shown in Figure 5, based on the theft preventing method of the antitheft system for valuables of recognition of face and RFID, it comprises following sub-step:
S1: build the antitheft system for valuables based on recognition of face and RFID, on each valuables, electronic tag is installed respectively, adopts valuables Registration Module that the electronic tag of possessory for valuables information, valuables information and correspondence is numbered common typing main control computer system;
S2: standby: when electronic tag signal not detected, whole system is in idle pulley;
S3: the waking up of radio-frequency recognition system under holding state: when the electronic tag be positioned on valuables being detected, radio-frequency recognition system sends image pick-up signal to camera data acquisition system (DAS), read the information on card simultaneously, after completing, the user profile on electronic tag is sent to main control computer system;
S4: the waking up of camera data acquisition system (DAS) under holding state: after the signal that camera data acquisition system (DAS) receives from radio-frequency recognition system, camera master controller is opened camera and is carried out image acquisition, and view data is sent to main control computer system;
S5: head portrait identification: after main control computer system acceptance to the information from camera data acquisition system (DAS) and radio-frequency recognition system, search database, find the user head image information corresponding with this electronic tag, and by its with camera data acquisition system to head portrait mate;
S6: man-machine interaction: the result of recognition of face shows by user interface system, if the match is successful, then responds, if mate unsuccessful, reports to the police;
S7: automatic stand-by: when certain hour does not detect radiofrequency signal, then automatically enter idle pulley.
Described valuables owner information comprises: valuables owner head portrait, contact method, institute in the bedroom, student number and professional class, valuables information comprises: valuables image, valuables kind and model.
As shown in Figure 6, the information on the radio-frequency recognition system reading electronic labels in described step S2 comprises following sub-step:
A. initiating reader;
When radiofrequency signal B. being detected, match, read instruction by serial mode to reader transmission simultaneously;
C. the information read is sent to main control computer system;
When D. there is no radiofrequency signal, enter holding state.
As shown in Figure 7, in described S4, head portrait identification step comprises Face datection, and Face datection adopts Adaboost Face datection algorithm, and it comprises following sub-step:
(1) extract the Haar feature in testing image, therefrom select optimum unique point through training;
(2) be corresponding simple classification device by the eigentransformation selected;
(3) by the simple classification device all obtained by optimizing and combining, produce synthesis cascade classifier.
Cascade classifier is used for the detection of face, and after face being detected, need to carry out pre-service to face, pretreatment work carries out on original 0RL face database.Main pretreatment work comprises: the color treatments of image, the geometrical normalization of image, the equalization of image and the gray scale normalization of image.After the unified process, facial image, with regard to standard of comparison, can eliminate the adverse effect of some external factors.With that feature point extraction is carried out to image.
Native system have employed the feature point extraction based on 2DPCA algorithm, and it is the improvement of Based PC A algorithm.2DPCA method directly calculates facial image, and unlike PCA, need first the matrix of original image to be converted into a dimensional vector, such 2DPCA just can retain more structural information, calculate covariance matrix more accurate, and 2DPCA method, more simple and directly perceived in image characteristics extraction.By Euclidean distance, unique point is classified again after extracting unique point, and then by these unique points, image is reconstructed, reach the object of identification.
Student information management module relates generally to 4 contents, student information inquiry, student information amendment, the deletion of student information and increasing of information, dormitory management module mainly contains two functions, one is the query task of dormitory relevant information, another increases dormitory lodging information, valuables Registration Module relates generally to two functions, the typing of a valuables information; Another is inquiry valuables registration records, and Comprehensive Query System provides query function.
The dormitory relevant information query function that dormitory management module provides, can when occurring abnormal, and everyone processes to find valuables from dormitory in time, can also expand sound and light alarm in main control computer system simultaneously.Alarm module is arranged on bedroom, when burglary-resisting system recognizes abnormal, controls valuables owners institute warning device in the bedroom and reports to the police, notify the valuables owner in time.

Claims (7)

1., based on the antitheft system for valuables of recognition of face and RFID, it is characterized in that: it comprises radio-frequency recognition system, camera data acquisition system (DAS) and main control computer system, and radio-frequency recognition system is connected with main control computer system respectively with camera data acquisition system (DAS), described radio-frequency recognition system comprises reader, electronic tag and radio frequency main control module, reader is used for the numbering of reading electronic labels, electronic tag is for binding valuables, and emitting radio frequency signal, radio frequency main control module is used for sending to reader reading instruction and electronic labeling information being transferred to main control computer system, described camera data acquisition system (DAS) comprises USB camera and camera master controller, and USB camera is for gathering the head portrait of valuables carrier, and camera master controller is opened for controlling camera, and transmits signals to main control computer system, described main control computer system comprises face identification system and user interface system, face identification system comprises face detection module, image pre-processing module, feature point extraction module and face matching module, described face detection module completes carries out recognition of face to the image of camera collection, facial image pre-service is mainly become standard picture by image pre-processing module, feature point extraction module mainly carries out feature point extraction to standard picture, the unique point of the facial image collected mainly is mated with the user images of system storage by face matching module, user interface system comprises valuables Registration Module, for registering the possessory information of valuables, valuables information and corresponding electronic tag numbering.
2. the antitheft system for valuables based on recognition of face and RFID according to claim 1, it is characterized in that: described main control computer system also comprises user interface system, user interface system comprises student information management module, valuables Registration Module, dormitory information enquiry module and comprehensive inquiry module.
3. the antitheft system for valuables based on recognition of face and RFID according to claim 1, it is characterized in that: described student information management module shows in real time and upgrades exit Item Information state, valuables Registration Module, dormitory information enquiry module and comprehensive inquiry module can carry out the registration of valuables information, for operating personnel provide information.
4., as the theft preventing method of the antitheft system for valuables based on recognition of face and RFID in claim 1 ~ 3 as described in any one, it is characterized in that: it comprises following sub-step:
S1: build the antitheft system for valuables based on recognition of face and RFID, on each valuables, electronic tag is installed respectively, adopts valuables Registration Module that the electronic tag of possessory for valuables information, valuables information and correspondence is numbered common typing main control computer system;
S2: standby: when electronic tag signal not detected, whole system is in idle pulley;
S3: the waking up of radio-frequency recognition system under holding state: when the electronic tag be positioned on valuables being detected, radio-frequency recognition system sends image pick-up signal to camera data acquisition system (DAS), read the information on card simultaneously, after completing, the user profile on electronic tag is sent to main control computer system;
S4: the waking up of camera data acquisition system (DAS) under holding state: after the signal that camera data acquisition system (DAS) receives from radio-frequency recognition system, camera master controller is opened camera and is carried out image acquisition, and view data is sent to main control computer system;
S5: head portrait identification: after main control computer system acceptance to the information from camera data acquisition system (DAS) and radio-frequency recognition system, search database, find the user head image information corresponding with this electronic tag, and by its with camera data acquisition system to head portrait mate;
S6: man-machine interaction: the result of recognition of face shows by user interface system, if the match is successful, then responds, if mate unsuccessful, reports to the police;
S7: automatic stand-by: when certain hour does not detect radiofrequency signal, then automatically enter idle pulley.
5. the theft preventing method of the antitheft system for valuables based on recognition of face and RFID according to claim 4, is characterized in that: the information on the radio-frequency recognition system reading electronic labels in described step S2 comprises following sub-step:
A. initiating reader;
When radiofrequency signal B. being detected, match, read instruction by serial mode to reader transmission simultaneously;
C. the information read is sent to main control computer system;
When D. there is no radiofrequency signal, enter holding state.
6. the theft preventing method of the antitheft system for valuables based on recognition of face and RFID according to claim 4, it is characterized in that: in described S4, head portrait identification step comprises Face datection, Face datection adopts Adaboost Face datection algorithm, and it comprises following sub-step:
(1) extract the Haar feature in testing image, therefrom select optimum unique point through training;
(2) be corresponding simple classification device by the eigentransformation selected;
(3) by the simple classification device all obtained by optimizing and combining, produce synthesis cascade classifier.
7. the theft preventing method of the antitheft system for valuables based on recognition of face and RFID according to claim 4, it is characterized in that: described valuables owner information comprises: valuables owner head portrait, contact method, institute in the bedroom, student number and professional class, valuables information comprises: valuables image, valuables kind and model.
CN201410760818.3A 2014-12-12 2014-12-12 Based on recognition of face and the antitheft system for valuables of RFID and theft preventing method thereof Expired - Fee Related CN104464152B (en)

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