CN108335396A - A kind of artificial intelligence visitor management system with Car license recognition - Google Patents
A kind of artificial intelligence visitor management system with Car license recognition Download PDFInfo
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- CN108335396A CN108335396A CN201810334736.0A CN201810334736A CN108335396A CN 108335396 A CN108335396 A CN 108335396A CN 201810334736 A CN201810334736 A CN 201810334736A CN 108335396 A CN108335396 A CN 108335396A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/20—Individual registration on entry or exit involving the use of a pass
- G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
- G07C9/25—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
- G07C9/257—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition electronically
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- G06Q10/00—Administration; Management
- G06Q10/02—Reservations, e.g. for tickets, services or events
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/148—Segmentation of character regions
- G06V30/153—Segmentation of character regions using recognition of characters or words
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/02—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/20—Individual registration on entry or exit involving the use of a pass
- G07C9/27—Individual registration on entry or exit involving the use of a pass with central registration
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/625—License plates
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Abstract
A kind of artificial intelligence visitor management system with Car license recognition, including intelligent terminal, external network server, intranet server, access control equipment, vehicle management equipment and payment devices, visitor accesses external network server by intelligent terminal, vehicle management equipment includes Car license recognition camera, vehicle room entry/exit management device and channel milling train, the information of vehicles of Car license recognition cameras capture is compared vehicle room entry/exit management device with the license board information in the database of intranet server, Car license recognition cameras capture information of vehicles simultaneously the car plate figure including Car license recognition cameras capture is compared with the license board information in the database of intranet server is compared with the number-plate number in the database of intranet server after image recognition, type of vehicle compares and vehicle color compares.
Description
Technical field
The invention belongs to artificial intelligence visitor management system field, more particularly to a kind of artificial intelligence with Car license recognition
It can visitor management system.
Background technology
By the way that investigating on the spot, current visitor management system has the following problems：It is lined up and accesses using visitor
Registration is lined up time-consuming longer；When greffier carries out verification ID card information, visitor's typing, it need to first make a phone call to carry out with interviewed people
Confirm, formality is cumbersome；Visitor takes visitor and demonstrate,proves temporarily, reaches at lock, and whether hall entrance guard examination of document of being responsible for swiping the card may be used
With not verified to visitor's identity, there are security risks；Current guest system takes longer, hand for visitor
It is continuous cumbersome, easily delay visitor and invite the time, while undesirable impression is left to visitor, reduce work efficiency, causes to service water
It is flat low；Current vehicle management remains unchanged using the papery pass of backwardness and the two ways of phone confirmation, and safety is relatively low
And timeliness is poor；Eatery Consumption still uses traditional IC card, inconvenient for use and fragile, loss.
Invention content
The technical problem to be solved in the present invention is to provide a kind of artificial intelligence visitor management system with Car license recognition,
Recognition speed is fast and identification is accurate.
To achieve the goals above, the technical scheme is that：A kind of artificial intelligence visitor pipe with Car license recognition
Reason system, including intelligent terminal, external network server, intranet server, access control equipment, vehicle management equipment and payment devices,
Visitor accesses external network server by intelligent terminal, carries out reservation application, examining department is by network server to the pre- of visitor
It is about examined, and approval results is fed back into external network server and intranet server respectively, external network server is tied according to examination ＆ approval
Fruit generates reservation feedback and is sent to intelligent terminal, and intranet server is set with access control equipment, vehicle management equipment and payment respectively
Standby connection, if reservation is fed back through, access control equipment will allow the visitor for holding reservation feedback to enter Office Area, vehicle pipe
Reason equipment allows the vehicle for holding reservation feedback to enter parking lot, and payment devices will allow the visitor for holding reservation feedback
Carry out payment activity；Vehicle management equipment includes that Car license recognition camera, vehicle room entry/exit management device and channel milling train, vehicle go out
Enter manager to compare the license board information in the information of vehicles of Car license recognition cameras capture and the database of intranet server
It is right, after comparing successfully, by the number-plate number, type of vehicle, vehicle color, entry time, mode of operation, alarm condition and vehicle
Board figure is uploaded in the database of intranet server, and vehicle room entry/exit management device control channel milling train is let pass, and is repeatedly lost if compared
Lose, vehicle room entry/exit management device then can automatic upload information to administrative staff；Car license recognition cameras capture information of vehicles and and Intranet
The car plate figure including Car license recognition cameras capture is compared after image recognition in license board information in the database of server
It is compared with the number-plate number in the database of intranet server, type of vehicle compares and vehicle color compares.
Beneficial effects of the present invention：
1) visitor is approximately a kind of managing caller scheme Internet-based in advance, using the reservation system, visitor it is in office where
Point can be preengage without falling into a long wait visiting.It improves gate inhibition's environment, simplifies registering flow path, saves
Access time
2) after the guest login system, according to oneself working demand, the reservation situation of visiting department required for inquiring, choosing
Behind the door, visitor can check the recent reservation situation of the department, to select the suitable time to be preengage at middle part.
3) section is added in the rights management of backstage to exempt from reservation function and prevented external office clerks from frequently preengaging
Puzzlement；
4) staff for exempting from reservation for section in entrance guard management can open multiple right of access, and then increase
Working efficiency also improves guarantee in secure context, accomplishes have mark that can follow；
5) the visiting department for the external staff for exempting from reservation and visiting number can be done phase by department work staff
The record and statistics answered, facilitate the result queries in later stage；
6) the dual identification of face, fingerprint, practicability is high, safe and reliable, and system uses network information encrypted transmission, supports
It is remotely controlled and is managed, can be applied to gate inhibition's security control of key area,
6) by face recognition algorithm, the living body faces image and database purchase acquired in real time can be effectively identified
Image between difference prevent from cheating gate inhibition by simple non-living body photo to effectively identifying user；
7) vehicle management is the management system developed based on identification technology.It, can be in vehicle information management module
The vehicle new information in database is inquired by data visualization interface, is increased newly, modification, the operations such as deletion improve work
Make efficiency and safety；
8) it uses artificial neural network recognition methods car plate is identified, therefore discrimination is higher, anti-interference
It is good；
9) it is paid using new-type Encryption Algorithm encrypted transaction message and using Quick Response Code, ensure that transaction
Under the premise of safety, the convenient of transaction is realized, user experience is improved.
Description of the drawings
Fig. 1 is the system pie graph of the present invention；
Fig. 2 is that the matching of the face-image of the present invention compares flow chart；
Fig. 3 is the image recognition flow chart of the car plate figure of the present invention；
Fig. 4 is the Quick Response Code payment flow figure of the present invention；
Specific implementation mode
The present invention is further illustrated with embodiment below in conjunction with the accompanying drawings.
The embodiment of the present invention is with reference to shown in figure 1-4.
A kind of artificial intelligence visitor management system with Car license recognition, including intelligent terminal, external network server, Intranet
Server, access control equipment, vehicle management equipment and payment devices, visitor access external network server by intelligent terminal, carry out
Reservation application, examining department examines the reservation of visitor by network server, and approval results are fed back to outside respectively
Network server and intranet server, external network server generate reservation feedback according to approval results and are sent to intelligent terminal, Intranet clothes
Business device is connect with access control equipment, vehicle management equipment and payment devices respectively, if reservation is fed back through, access control equipment will
The visitor for holding reservation feedback is allowed to enter Office Area, vehicle management equipment allows the vehicle for holding reservation feedback to enter
Parking lot, payment devices will allow the visitor for holding reservation feedback to carry out payment activity；Vehicle management equipment includes that car plate is known
Other camera, vehicle room entry/exit management device and channel milling train, vehicle room entry/exit management device believe the vehicle of Car license recognition cameras capture
Breath is compared with the license board information in the database of intranet server, after comparing successfully, by the number-plate number, type of vehicle, vehicle
Color, entry time, mode of operation, alarm condition and car plate figure are uploaded in the database of intranet server, and vehicle goes out
Enter the clearance of manager control channel milling train, if comparing repeatedly failure, if vehicle room entry/exit management device can automatic upload information to managing
Reason personnel.
Information of vehicles is comprehensive, is convenient for the management of administrative staff.
Wherein, Car license recognition cameras capture information of vehicles and in the database of intranet server license board information carry out
Compare include Car license recognition cameras capture car plate figure after image recognition with the license plate number in the database of intranet server
Code compares, type of vehicle compares and vehicle color compares,
Wherein, the detailed process of the image recognition of car plate figure is：
Step 1, gradation conversion,
Collected vehicle image is the BMP bitmaps of 24 rgb formats, is needed after coloured image is converted to gray-scale map
It is handled.Indicate that the gray value of picture element (i, j), R (i, j) indicate the red component of picture element (i, j), G with f (i, j)
(i, j) indicates that the green component of picture element (i, j), B (i, j) indicate the blue component of picture element (i, j), gradation conversion formula
It is as follows：
F (i, j)=0.299 × R (i, j)+0.587 × G (i, j)+0.144 × B (i, j),
Step 2, contrast equalizes, if g (i, j), (i=1,2 ..., M；J=1,2 ..., N) for after gradation conversion
Image, wherein M, N are respectively the height and width on image pixel dimensions, the grey scale change ranging from [0,255] of image,
Step 2.1, according to original image [f (i, j)]M×NThe h of 256 dimension of structuref(t), t=0,1,2 ..., 255 vectors；
Step 2.2 seeks the intensity profile Probability p of original imagefIt is (t) vectorial,
Wherein, NfFor total number of pixels of image；
Step 2.3, the cumulative distribution Probability p of each gray value of image is calculateda(k), then,
Wherein, pa(0)=0；
Step 2.4, histogram equalization calculates, the pixel value g (i, j) of image after being handled, then, and g (i, j)=
255*pa(k)。
Therefore the greyscale transformation value of each pixel after equilibrium can be acquired according to the statistic of original image, the figure after equalization
Image contrast is strengthened, and avoids generating interference to car plate part, and the car plate of uneven illumination is made to become more clear.
Step 3, medium filtering is carried out to gray level image, carries out edge detection using Canny operators and gradient operator, makes
Boundary point is eliminated with etching operation, license plate area is made to highlight；
Medium filtering can be effectively protected image border, and can remove denoising；Canny operators are dual threshold side
Method is not easily susceptible to noise jamming, can detect real weak edge；Gradient operator can be detected along specific direction, gradient operator
Operand and data volume can be considerably reduced with the combination of both Canny operators, effectively removes incoherent parts of images.
Step 4, License Plate；
Step 4.1, structure structure matrix carries out closed operation to image, and license plate area is filled into a connected region, is disappeared
Except small region, connection car plate part, mark goes out preselected area；
Step 4.2, preselected area is set to white, pixel value 0, other regions are set as black, pixel value 1；It is right
The closed white block of each of image is labeled, specially：
Image is scanned, it is 1 to be labeled as LAB to encounter first pixel value, then to the object of its 8 neighborhood into
Row scanning, if this eight pixel values are 1, these pixels all in a region, are labeled as LAB, then proceed to sweep
It retouches, indicating that this region has marked when scanning to pixel value is 0 pixel finishes, and is 1 when pixel value is arrived in scanning again
Point when, LAB=LAB+1 is successively scanned whole image；
Step 4.3, the length-width ratio of tab area is calculated, specially：
After having marked all areas, the height and width in each region are calculated, by the extreme value up and down in each region
Point is respectively labeled as Wmax, Wmin, Hmax, Hmin, then width W=Wmax-Wmin, height H=Hmax-Hmin；
Step 4.4, region is screened, specially：Using the ratio of width to height W/H as constraints, by the ratio of width to height W/H in [2,5]
Region in addition all deletes, if the satisfactory regions the ratio of width to height W/H have it is multiple, according to absolute width value W and height
Value H, is further reduced interference region；The area for calculating remaining area, the number of pixel in every piece of region is added up and is averaged
Value, selects and removes the connected region less than 500, to obtain license plate area；
Step 4.5, by obtaining the specific location of car plate to the positioning of rectangular area, specially：By to row pixel
It is accumulative with the gray value of row pixel, the start of line and final position, the row starting and final position of car plate are determined, by the position of ranks
Set the exact position for combining determining car plate；
Step 5, the inclination angle that rectangular area is detected using Hough transform, further according to the angle of inclination that detected into
Row interpolation rotates, and keeps the character in rectangular area horizontally arranged；
Camera is adjusted to the position with car plate holding level as possible, but does not ensure that car plate is hung with inclination angle, such as
Fruit, which is not corrected, to make a big impact to next step Character segmentation, and Hough transform have to the extraction of straight line it is very strong anti-dry
Disturb ability.
Step 6, character recognition,
Step 6.1, Character segmentation, specially：Character picture is projected in vertical direction using sciagraphy, i.e., along
Vertical direction scans by column, and the number for the pixel that each row pixel value is 1 is added up and is used as ordinate, and abscissa is figure
The upright projection curve of the horizontal position of picture, character picture has the characteristics that " wave crest-trough-wave crest ", chooses on perspective view
Split position of the position of trough as character.
Step 6.2, character normalization, specially：It is obtained when up-and-down boundary and Character segmentation when being extracted according to character
Right boundary, calculate the height and width of each character, the result of calculating counted, using its maximum value as normalizing
The template size of change is tested by calculating, character size is all unified for 50 × 25 pixel size；
Step 6.3, character extracts, specially：Using thick meshed feature extraction method, character is divided into 10 × 5 nets
Lattice count black picture element number in grid；
Step 6.4, neural network identifies, detailed process is：
Step 6.4.1, three BP neural networks of design identify the character of car plate, respectively distinguish Chinese character or number and
The BP networks of the BP networks of English alphabet, the BP networks of Chinese character and number and English alphabet, character feature composition characteristic is given birth to
At feature samples；
Feature samples are input to BP neural network and learnt, establish identification model by step 6.4.2；
Step 6.4.3 is identified characters on license plate using established model；
Step 6.4.4 exports recognition result.
As a result of artificial neural network recognition methods, therefore discrimination is higher, and anti-interference is also relatively good.
Wherein, channel milling train includes restrictor bar, collet, fork arm, cabinet, chassis lid, motor, retarder, belt wheel, gear, company
Bar, distant bar, main shaft, balancing spring, optoelectronic switch, control box, on the cabinet of Car license recognition camera installation passage milling train, acquisition
It is substantially flush with the height of vehicle license plate when image photographic.
Milling train and camera integrated setting are realized, and horizontal shooting, angle are more acurrate.
Wherein, administrative staff by the data visualization interface of vehicle room entry/exit management device to the database of intranet server
In information of vehicles the operations such as inquired, increased newly, being changed, being deleted.
The system simplifies registering flow path, has saved access time, and working efficiency improves.
Wherein, the detailed process of the reservation application is：Visitor logs in the reservation in external network server by intelligent terminal
System, according to working demand, the reservation situation of visiting department required for inquiring, after choosing visiting department, visitor checks the visiting
The recent reservation situation of department, to select the suitable time to be preengage, visitor fill in reservation information need to be by name, electricity
Words number, identification card number, visiting department, visiting time fill in and mug shot and fingerprint are uploaded to reservation system strictly according to the facts, also
Same administrative staff or information of vehicles can be filled according to demand.
Wherein, information of vehicles includes license plate number, vehicle and color；
Wherein, generating the detailed process that the reservation is fed back is：For visitor after reservation is applied, examining department passes through reservation
System receives access application immediately, waits for examining department's examination ＆ approval, reservation system that the approval results generation reservation of examining department is anti-
Feedback, the intelligent terminal of visitor is sent to by wechat or SMS platform；
Reservation feedback include the name of visitor, telephone number, identification card number, the department that visits, visiting time, mug shot,
Fingerprint, information of vehicles, subscription state, permission,
Feedback content is abundant, is convenient for subsequent data processing and statistical analysis.
Wherein, reservation applies for that the pending time is 30 minutes, if not processed in 30 minutes, reservation system will be according to reservation
Situation carries out reply automatically to application and is sent to the intelligent terminal of visitor by wechat or SMS platform；
It prevents from declining without user experience caused by answer for a long time.
Wherein, reservation feedback is by by the database of automatic input intranet server, and related personnel and visitor can be with
Pass through platform or wechat query-reservation application at any time；
Using kinds of platform, reservation is more flexible and convenient.
Wherein, reservation system includes backstage authority management module, and examining department combines reservation anti-by authority management module
Feedback to visitor carry out priority assignation, allow external staff to exempt to preengage within a certain period of time, operate access control equipment in for
Exempt from the staff in the period of reservation and open multiple right of access, and the visiting portion of the external staff of reservation will be exempted from
Door and visiting number are done in corresponding record and the database of statistics typing intranet server.
The mode for exempting to preengage increases working efficiency and also improves guarantee in secure context.
Wherein, access control equipment includes monitoring camera, fingerprint acquisition device, bio-identification access controller and electronics
Lock, the real-time visitor's face-image of monitoring camera dynamic acquisition, fingerprint collecting equipment acquire real-time visitor's fingerprint, bio-identification
Real-time visitor's face-image and real-time visitor's fingerprint can be identified in access controller, and carries out matching comparison, if two
After person compares successfully, electronic lock is opened, allows visitor by gate inhibition, if the two compares repeatedly failure, report can be started in real time
It is alert.
Dual comparison improves security of system.
The matching comparison process of face-image is as follows：
Step 1, size normalizes, specially：
Step 1.1,27 facial fiducial points are obtained, respectively：Right pupil, left pupil, nose, the right corners of the mouth, the left corners of the mouth,
Endpoint in right eyebrow the outer end point, right eyebrow, right eye socket of the eye the outer end point, right eye socket of the eye upper extreme point, right eye socket of the eye lower extreme point, endpoint, a left side in right eye socket of the eye
Endpoint in eyebrow, left eyebrow the outer end point, endpoint, left eye socket of the eye upper extreme point, left eye socket of the eye lower extreme point, left eye socket of the eye the outer end point, the nasion in left eye socket of the eye
Portion's right endpoint, nasion portion left end point, wing of nose right part, wing of nose left part, wing of nose right endpoint, wing of nose left end point, upper lip upper extreme point,
Upper lip lower extreme point, lower lip upper extreme point, lower lip lower extreme point；
Said reference point is by the extracting section of face most feature, to improve the precision of identification；
Step 1.2, it is determined according to endpoint in right eye socket of the eye the outer end point, right eye socket of the eye upper extreme point, right eye socket of the eye lower extreme point, right eye socket of the eye
Right eye central point is determined according to endpoint, left eye socket of the eye upper extreme point, left eye socket of the eye lower extreme point, left eye socket of the eye the outer end point in left eye socket of the eye in left eye
Heart point finds the center of face point of right eye central point and left eye central point, using this center of face point as image origin, rotation
Face-image makes the line that right eye central point and left eye central point are linked to be in horizontal position, to rectify face-image；
Step 1.3, facial ratio characteristic is combined according to facial fiducial point, facial major part is cut into, thereafter will
Face-image after cutting is eliminated such as the hair except facial parts, is carried on the back by the image that scale transformation is uniform sizes size
The redundancies such as scape；
Wherein, redundancy includes hair, background；
Redundancy is deleted, facial characteristics is more highlighted.
Step 1.4, normalization eye socket distance is than variance,
Step 1.4.1 calculates the distance d of right eye socket of the eye upper extreme point, right eye socket of the eye lower extreme point；
Step 1.4.2 calculates center of face point and the left and right endpoint midpoint distance l of the wing of nose；
Step 1.4.3 calculates eye socket distance ratio r=d/l, ratio characteristic of the eye socket distance than having reacted face；
Step 1.4.4, according to eye socket distance than as origin uniform zoom and being cut out using the left and right endpoint midpoint of the wing of nose
Cut face-image；
Step 2, gray scale normalization,
Step 2.1, gray scale adjusts；
Step 3, histogram is built,
Step 3.1, the spaces structure λ calculate the gradient magnitude T (i, j) and deflection A (i, j) of each pixel, enhancing wheel
Wide information,
Wherein, Tx(i, j) and Ty(i, j) respectively represents the gradient magnitude on both horizontally and vertically,
Step 3.2, centered on each facial fiducial point, the pixel square region that 27 sizes are 100 × 100 is built,
The often capable histogram component function h of structurej(i, j)=A (i, j) × T (i, j), i=1,2......100, j=1,
2......100, histogram component is hj=[hj(1,j),hj(2,j)......hj(i,j),......hj(100, j)], structure is every
The histogram component H of a square regionk=[h1,h2...hj...h100], k=1,2......27；
Above-mentioned histogram covers much information, and constitutes single vector-quantities, and with calculating, improve arithmetic speed.
Step 4, similarity is calculated,
By step 1-3 by real-time visitor's face-image and reservation upload mug shot handled to obtain it is respective straight
Square component, respectivelyWithIt is specific to calculate to calculate similarity between the two by comparing two histogram components
It constitutes as follows：
Think successful match if D is less than 0.3, otherwise it fails to match.
By above-mentioned face recognition algorithm, the living body faces image acquired in real time and data inventory can be effectively identified
Difference between the image of storage prevents from cheating gate inhibition by simple non-living body photo to effectively identify user.
Wherein, payment management includes code reader and top-up machines, and top-up machines are according to typing visitor name, telephone number, identity
Card number generates unique visitor's two dimension payment code, is used for identification, visitor is supplemented with money using the payment code by top-up machines
And paid,
Wherein, two dimension payment code includes coding region and function pattern,
Coding region is directly related to information expression, including coded data, release format and Error Correction of Coding；
Function pattern provides auxiliary information, the convenient identification to two-dimension code image, including positioning pattern, separator, position
Detect figure, correction graph；
Wherein, two dimension payment code generating process includes：
Step 1, telephone number, identification card number, payment cipher, payment information are converted into 128 initial data M；
Step 2, data encryption, specially：
Step 2.1, key is generated,
Select three Big prime a1、a2、a3, modulus n is calculated,
N=a1×a2×a3,
Obtain Euler's function
Select random integers k1So thatAnd
According to a1、a2、a3Magnitude relationship calculates X, GCD (X, n)=1, and n-MAX (a1,a2,a3)≤X≤n,
Obtained X will be solved to substitute into following formula, solution obtains k2；
k2=k1 -1MOD (X),
Then, (k1, X) and it is public key, (k2, X) and it is private key；
Step 2.2, encryption information,
Use public key (k1, X) initial data is encrypted,
C=Mk1MOD (X),
C is encrypted ciphertext；
Wherein, three Big prime a1、a2、a3Binary number digit be more than 100, the digit of the binary number of modulus n
More than 200, three Big prime a1、a2、a3Mutual absolute value of the difference is more than 50；
The generation of prime number has vital effect, condition more than satisfaction just to can guarantee encryption the safety of algorithm
Algorithm can resistance factor decomposes in rational time range attack.
Step 3, Quick Response Code generates,
Step 3.1, data analysis analyzes the ciphertext C to be encoded, determines the type of data, determine data encoding
Pattern and error-correction level appropriate determine symbol version to complete the high efficient coding of data；
Step 3.2, data encoding, it would be desirable to which the ciphertext C of coding is compiled by the corresponding encoded pattern that data analysis phase determines
Code becomes specific bit string, and group carries as the form of mode indicators+character count indicator+encoded digital information bit stream
Supplied a variety of Data Coding Scheme for being selected according to practical application, including ECI patterns, figure pattern, octet pattern,
Alphanumeric pattern and Chinese mode, each pattern have its corresponding character set and corresponding coding to be supported to advise
Then table；
Step 3.3, Error Correction of Coding and final code word construction, generate error correction code word, to provide two-dimentional code symbol for coded data
Number certain fault freedom itself, Quick Response Code standard has formulated the error correcting capability of four grades altogether, in the process of Error Correction of Coding
In, in conjunction with the symbol version of selection and application need that rational error-correction level is arranged.According to the version and level of error correction of selection,
Code word data is subjected to piecemeal according to relevant criterion, generating the piecemeal with error correction algorithm respectively to each small piecemeal corresponds to
Error correction code word, and be appended to after corresponding code word data, form the final code word sequence of symbol；
Step 3.4, module is arranged in a matrix, and the work which mainly does is blank corresponding with symbol version
In square matrices, complete expression and its location layout of functional graphic and sign character, the position of functional graphic and structure oneself
Fixed via standard, dark module be set according to standard on the corresponding position in functional graphic area, for sign character, with length,
Height is respectively that the regular rectangular shape module array of 2 and 4 block sizes indicates, but if in the symbols such as itself and positioning pattern
Functional graphic when suffering close, then be converted into irregular form to reduce mutual interference, layout in a matrix
It since the bottom right of data-encoding area, turns left from the right side, is from top to bottom filled with 2*4 rule modules；
Step 3.5, mask operates the non-functional graph area of symbol, the reference pattern provided with standard and its life
XOR operation is carried out to the matrix of previous step at condition, all results are evaluated, it is best to select effect, so that symbol
In uneven color module be evenly distributed as possible, generate Quick Response Code；
Wherein, payment process is,
Step 1, code reader, which scans the two-dimensional code, obtains ciphertext C, and decrypts, and uses private key (k2, X) and original to decrypt acquisition
Data M, then,
Step 2, initial data M is converted into telephone number, identification card number, payment cipher, payment information, is paid
Operation.
All it is to use encrypted data, therefore greatly ensure that transaction during Quick Response Code is generated to payment
Safety.
Way of payment be broadly divided into uniformly supplement with money with two kinds of self-recharging, be applicable in different scenes respectively, uniformly supplement master with money
It is that visitor supplements with money to be used for unit batch, and self-recharging only supports visitor individual to supplement with money；
Code reader scanning two dimension payment code is consumed, and administrator's consumption statistic is divided into two kinds and checks that mode, one kind are to visit
The consumption details of objective querying individual, it is another to check the amount of money that every code reader is taken in.
Embodiment described above only expresses one embodiment of the present invention, but can not therefore be interpreted as pair
The limitation of the scope of the invention.It should be pointed out that for those of ordinary skill in the art, not departing from present inventive concept
Under the premise of, various modifications and improvements can be made, these are all within the scope of protection of the present invention.
Claims (10)
1. a kind of artificial intelligence visitor management system with Car license recognition, including intelligent terminal, external network server, Intranet service
Device, access control equipment, vehicle management equipment and payment devices, visitor access external network server by intelligent terminal, are preengage
Application, examining department examines the reservation of visitor by network server, and approval results are fed back to outer net clothes respectively
Business device and intranet server, external network server generate reservation feedback according to approval results and are sent to intelligent terminal, intranet server
It is connect respectively with access control equipment, vehicle management equipment and payment devices, if reservation is fed back through, access control equipment will allow to hold
There is the visitor that the reservation is fed back to enter Office Area, vehicle management equipment allows the vehicle for holding reservation feedback to enter parking lot,
Payment devices will allow the visitor for holding reservation feedback to carry out payment activity；Vehicle management equipment include Car license recognition camera,
Vehicle room entry/exit management device and channel milling train, vehicle room entry/exit management device take the information of vehicles of Car license recognition cameras capture and Intranet
The license board information being engaged in the database of device is compared, after comparing successfully, by the number-plate number, type of vehicle, vehicle color, entrance
Time, mode of operation, alarm condition and car plate figure are uploaded in the database of intranet server, the control of vehicle room entry/exit management device
Channel milling train is let pass, if comparing repeatedly failure, if vehicle room entry/exit management device can automatic upload information to administrative staff；Car plate is known
Other cameras capture information of vehicles is simultaneously compared with the license board information in the database of intranet server including Car license recognition camera
The car plate figure of capture compares after image recognition with the number-plate number in the database of intranet server, type of vehicle compare with
And vehicle color compares.
2. a kind of artificial intelligence visitor management system with Car license recognition according to claim 1, it is characterised in that：Its
In, the detailed process of the image recognition of car plate figure is：
Step 1, gradation conversion,
Collected vehicle image is the BMP bitmaps of 24 rgb formats, is needed after coloured image is converted to gray-scale map
Reason.Indicate that the gray value of picture element (i, j), R (i, j) indicate that the red component of picture element (i, j), G (i, j) are indicated with f (i, j)
The green component of picture element (i, j), B (i, j) indicate that the blue component of picture element (i, j), gradation conversion formula are as follows：
F (i, j)=0.299 × R (i, j)+0.587 × G (i, j)+0.144 × B (i, j),
Step 2, contrast equalizes, if g (i, j), (i=1,2 ..., M；J=1,2 ..., N) be gradation conversion after figure
Picture, wherein M, N are respectively the height and width on image pixel dimensions, the grey scale change ranging from [0,255] of image,
Step 3, medium filtering is carried out to gray level image, carries out edge detection using Canny operators and gradient operator, uses corrosion
It operates to eliminate boundary point, license plate area is made to highlight；
Step 4, License Plate；
Step 5, the inclination angle that rectangular area is detected using Hough transform is inserted further according to the angle of inclination that detected
Value rotation, keeps the character in rectangular area horizontally arranged；
Step 6, character recognition.
3. a kind of artificial intelligence visitor management system with Car license recognition according to claim 2, it is characterised in that step
Rapid 2 are specially：
Step 2.1, according to original image [f (i, j)]M×NThe h of 256 dimension of structuref(t), t=0,1,2 ..., 255 vectors；
Step 2.2 seeks the intensity profile Probability p of original imagefIt is (t) vectorial,
Wherein, NfFor total number of pixels of image；
Step 2.3, the cumulative distribution Probability p of each gray value of image is calculateda(k), then,
Wherein, pa(0)=0；
Step 2.4, histogram equalization calculates, the pixel value g (i, j) of image after being handled, then, and g (i, j)=255*pa
(k)。
4. a kind of artificial intelligence visitor management system with Car license recognition according to claim 2, it is characterised in that step
Rapid 4 are specially：
Step 4.1, structure structure matrix carries out closed operation to image, and license plate area is filled into a connected region, is eliminated small
Region, connection car plate part, mark goes out preselected area；
Step 4.2, preselected area is set to white, pixel value 0, other regions are set as black, pixel value 1；To image
Each of closed white block be labeled, specially：Image is scanned, the mark that first pixel value is 1 is encountered
Note is LAB, is then scanned to the object of its 8 neighborhood, if this eight pixel values are 1, these pixels are all at one
In region, it is labeled as LAB, then proceedes to scan, indicates that this region has marked when scanning to pixel value is 0 pixel
It finishes, when the point that scanning is 1 to pixel value again, LAB=LAB+1 is successively scanned whole image；
Step 4.3, the length-width ratio of tab area is calculated, specially：After having marked all areas, calculate each region height and
The extreme point up and down in each region is respectively labeled as W by widthmax, Wmin, Hmax, Hmin, then width W=Wmax-Wmin,
Height H=Hmax-Hmin；
Step 4.4, region is screened, specially：Using the ratio of width to height W/H as constraints, by the ratio of width to height W/H other than [2,5]
Region all delete, if the satisfactory regions the ratio of width to height W/H have it is multiple, according to absolute width value W and height value H,
It is further reduced interference region；The area for calculating remaining area, by the cumulative simultaneously average value of the number of pixel in every piece of region, selection
And connected region of the removal less than 500, to obtain license plate area；
Step 4.5, by obtaining the specific location of car plate to the positioning of rectangular area, specially：By to row pixel and row
The gray value of pixel is accumulative, determines the start of line and final position, the row starting and final position of car plate, the position of ranks is combined
Get up the exact position of determining car plate.
5. a kind of artificial intelligence visitor management system with Car license recognition according to claim 2, it is characterised in that step
Rapid 6 are specially：
Step 6.1, Character segmentation, specially：Character picture is projected in vertical direction using sciagraphy, i.e., along vertical
Direction scans by column, and the number for the pixel that each row pixel value is 1 is added up and is used as ordinate, and abscissa is the level of image
The upright projection curve of position, character picture has the characteristics that " wave crest-trough-wave crest ", chooses the position of trough on perspective view
Set the split position as character；
Step 6.2, character normalization, specially：The left side obtained when up-and-down boundary and Character segmentation when being extracted according to character
Right margin calculates the height and width of each character, the result of calculating is counted, using its maximum value as normalized mould
Board size is tested by calculating, character size is all unified for 50 × 25 pixel size；
Step 6.3, character extracts, specially：Using thick meshed feature extraction method, character is divided into 10 × 5 grids, to net
Black picture element number is counted in lattice；
Step 6.4, neural network identifies, detailed process is：
Step 6.4.1 designs three BP neural networks to identify the character of car plate, respectively distinguishes Chinese character or number and English words
Character feature composition characteristic is generated feature by female BP networks, the BP networks of Chinese character and BP networks of number and English alphabet
Sample；
Feature samples are input to BP neural network and learnt, establish identification model by step 6.4.2；
Step 6.4.3 is identified characters on license plate using established model；
Step 6.4.4 exports recognition result.
6. a kind of artificial intelligence visitor management system with Car license recognition according to claim 1, it is characterised in that：It is logical
Road milling train includes restrictor bar, collet, fork arm, cabinet, chassis lid, motor, retarder, belt wheel, gear, connecting rod, distant bar, main shaft, puts down
Weigh spring, optoelectronic switch, control box, on the cabinet of Car license recognition camera installation passage milling train, when acquiring image photographic and vehicle
The height of car plate is substantially flush；Administrative staff are by the data visualization interface of vehicle room entry/exit management device to the number of intranet server
The operations such as inquired, increased newly, being changed, being deleted according to the information of vehicles in library.
7. a kind of artificial intelligence visitor management system with Car license recognition according to claim 1, it is characterised in that pre-
The detailed process about applied is：Visitor logs in the reservation system in external network server by intelligent terminal and is looked into according to working demand
The reservation situation of visiting department required for asking, after choosing visiting department, visitor checks the recent reservation situation of the visiting department, with
Just the suitable time is selected to be preengage, visitor fill in reservation information need to be by name, telephone number, identification card number, visiting portion
Door, visiting time fill in and mug shot and fingerprint are uploaded to reservation system strictly according to the facts, can also fill in same administrative staff according to demand
Or information of vehicles；
Generating the detailed process that the reservation is fed back is：Visitor after reservation is applied, received immediately by reservation system by examining department
Apply to accessing, waits for examining department's examination ＆ approval, reservation system that the approval results of examining department are generated reservation feedback, pass through wechat
Or SMS platform is sent to the intelligent terminal of visitor；
Reservation feedback include the name of visitor, telephone number, identification card number, the department that visits, visiting time, mug shot, fingerprint,
Information of vehicles, subscription state, permission.
8. a kind of artificial intelligence visitor management system with Car license recognition according to claim 1, it is characterised in that pre-
The detailed process about applied is：Reservation applies for that pending time is 30 minutes, if not processed in 30 minutes, reservation system is by basis
Reservation situation carries out reply automatically to application and is sent to the intelligent terminal of visitor by wechat or SMS platform.
9. a kind of artificial intelligence visitor management system with Car license recognition according to claim 1, which is characterized in that pre-
It about feeds back by the database of automatic input intranet server, related personnel and visitor can be at any time by platforms or micro-
Believe query-reservation application；Reservation system includes backstage authority management module, and examining department is combined by authority management module and preengage
Feedback carries out priority assignation to visitor, and external staff is allowed to exempt to preengage within a certain period of time, and it is right in access control equipment to operate
Multiple right of access is opened in the staff in the period for exempting from reservation, and the visiting portion of the external staff of reservation will be exempted from
Door and visiting number are done in corresponding record and the database of statistics typing intranet server.
10. a kind of artificial intelligence visitor management system with Car license recognition according to claim 1, it is characterised in that：
Access control equipment includes monitoring camera, fingerprint acquisition device, bio-identification access controller and electronic lock, and monitoring camera is dynamic
State acquires real-time visitor's face-image, and fingerprint collecting equipment acquires real-time visitor's fingerprint, and bio-identification access controller can be right
Real-time visitor's face-image and real-time visitor's fingerprint are identified, and carry out matching comparison, if after the two all compares successfully, beaten
Electronic lock is opened, allows visitor by gate inhibition, if the two compares repeatedly failure, alarm can be started in real time.
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