CN107948341B - MAC Address matching process and device - Google Patents
MAC Address matching process and device Download PDFInfo
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- CN107948341B CN107948341B CN201711248123.7A CN201711248123A CN107948341B CN 107948341 B CN107948341 B CN 107948341B CN 201711248123 A CN201711248123 A CN 201711248123A CN 107948341 B CN107948341 B CN 107948341B
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- mac address
- confidence level
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- confidence
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L2101/00—Indexing scheme associated with group H04L61/00
- H04L2101/60—Types of network addresses
- H04L2101/618—Details of network addresses
- H04L2101/622—Layer-2 addresses, e.g. medium access control [MAC] addresses
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L2101/00—Indexing scheme associated with group H04L61/00
- H04L2101/60—Types of network addresses
- H04L2101/69—Types of network addresses using geographic information, e.g. room number
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L61/00—Network arrangements, protocols or services for addressing or naming
- H04L61/45—Network directories; Name-to-address mapping
Abstract
The present invention provides MAC Address matching process and devices, it is related to measuring assessment technology field, wherein, the MAC Address matching process includes: first, by the first confidence level function of bayonet collector and MAC collector by calibration, calculate the first confidence level of license plate and MAC Address binding, then, when the clarity of human face image information meets preset standard definition, calculate the second confidence level of human face image information and MAC Address binding, wherein, human face image information is acquired by bayonet collector, in this way, when the first confidence level and the second confidence level are more than preset confidence threshold, by license plate and MAC Address, MAC Address and human face image information carry out confidence binding respectively, pass through above-mentioned treatment process, by vehicle, MAC Address and personnel are effectively matched, to greatly reduce The cost of desk checking.
Description
Technical field
The present invention relates to measurement assessment technology field more particularly to MAC Address matching process and device.
Background technique
With the development of technology and the improvement of people ' s living standards, electronic equipment is more more and more universal, and people are led to when outgoing
Chang Douhui carries the electronic equipments such as mobile phone, computer.And also will be installed the equipment such as electronic navigation, automobile data recorder in vehicle,
Also, each mobile phone, computer, automobile data recorder have oneself corresponding MAC Address, MAC (Medium/Media Access
Control) address, also referred to as physical address, hardware address, for defining the position of the network equipment.MAC Address is determined by network interface card
Fixed fixing address.Since a host has a MAC Address, has one in corresponding each network site and is specific to it
IP address.MAC Address can be collected by MAC collector in a certain range.According to the available many movements of MAC Address
Trace information, but specific people and Che can not be navigated to.
To sum up, at present about vehicle and personnel can not be effectively matched the problem of, there is no effective solution method.
Summary of the invention
In view of this, the embodiment of the present invention has been designed to provide MAC Address matching process and device, by calculating vehicle
The confidence level and human face image information of board and MAC Address binding and the confidence level etc. of MAC Address binding, improve vehicle, MAC
The matching efficiency of address and personnel.
In a first aspect, the embodiment of the invention provides MAC Address matching process, comprising:
By the first confidence level function of bayonet collector and MAC collector by calibration, calculates license plate and MAC Address is tied up
The first fixed confidence level；
When the clarity of human face image information meets preset standard definition, with calculating human face image information and MAC
Second confidence level of location binding, wherein human face image information is acquired by bayonet collector；
When the first confidence level and the second confidence level are more than preset confidence threshold, by license plate and MAC Address, MAC
Location and human face image information carry out confidence binding respectively.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, wherein side
Method further include:
Not calibrated bayonet collector and MAC are calculated according to the license plate, MAC Address and human face image information of confidence binding
Second confidence level function of collector；
First confidence level function is updated to the second confidence level function.
The possible embodiment of with reference to first aspect the first, the embodiment of the invention provides second of first aspect
Possible embodiment, wherein include: by the first confidence level function by the bayonet collector and MAC collector calibrated
Bayonet collector x is in first time tiDetect license plate i；
MAC collector y is in the second time tjCollect MAC Address j；
Calculate the interval of delta t at the first time with the second timeij=tj-ti；
Calculate the first confidence level function Con of bayonet collector and MAC collectorxy(Δtij)=0；
Calibrate the first confidence level functionWherein, T is calibration empirical value.
The possible embodiment of with reference to first aspect the first, the embodiment of the invention provides the third of first aspect
Possible embodiment, wherein calculating the first confidence level that license plate and MAC Address are bound includes:
The set X of all bayonet collectors and the set Y of all MAC collectors are obtained respectively；
It calculates first time manifold and closes IJxy, wherein first number is all numbers that license plate i and MAC Address j passes through XY；
Calculate the first confidence level of license plate i and MAC Address j binding
With reference to first aspect, the embodiment of the invention provides the 4th kind of possible embodiments of first aspect, wherein when
When the clarity of human face image information meets preset standard definition, the of human face image information and MAC Address binding is calculated
Two confidence levels include:
Whether the clarity for comparing human face image information meets preset standard definition；
When the clarity of human face image information meets preset standard definition, searched whether in face database exist with
The consistent people information of human face image information；
In the presence of lookup result is, people information k is obtained；
In the absence of lookup result is, create and the consistent people information k of human face image information；
The set X of all bayonet collectors and the set Y of all MAC collectors are obtained respectively；
It calculates second of manifold and closes KJxy, wherein second several behaviour object information k and MAC Address j are by all secondary of XY
Number；
Calculate the second confidence level of people information k and MAC Address j binding
The third possible embodiment with reference to first aspect, the embodiment of the invention provides the 5th kind of first aspect
Possible embodiment, wherein not calibrated card is calculated according to the license plate, MAC Address and human face image information of confidence binding
Second confidence level function of mouthful collector and MAC collector includes:
Statistics | Δ tijThe confidence of |≤MaxT is bundled in the frequency n Δ that each time interval Δ t occurst；
Fitting nΔtWith the relation function of Δ t, objective function F is obtainedxy(Δ t)=a1xyΔt+a2xyΔt2+...+an-1xyΔ
tn-1+anxyΔtn；
The bayonet collector of calibration and the second confidence level function of MAC collectorWherein, N is
|ΔtijThe total degree that the confidence binding of |≤MaxT occurs, MaxT Parameter adjustable.
The third possible embodiment with reference to first aspect, the embodiment of the invention provides the 6th kind of first aspect
Possible embodiment, wherein method further include:
When MAC Address j occurs multiple in time T, tying up for the smallest time interval Δ corresponding MAC Address j of t is calculated
The first fixed confidence level.
Second aspect, the embodiment of the invention provides MAC Address coalignments, comprising:
First confidence calculations module, for the first confidence level by bayonet collector and MAC collector Jing Guo Jiao Zhun
Function calculates the first confidence level of license plate and MAC Address binding；
Second confidence calculations module, for when the clarity of human face image information meets preset standard definition,
Calculate the second confidence level of human face image information and MAC Address binding, wherein human face image information is acquired by bayonet collector；
Confidence binding module, for when the first confidence level and the second confidence level are more than preset confidence threshold, by vehicle
Board and MAC Address, MAC Address and human face image information carry out confidence binding respectively.
The third aspect, the embodiment of the present invention also provide a kind of terminal, including memory and processor, and memory is for depositing
Storage supports processor to execute the program for the MAC Address matching process that above-mentioned aspect provides, and processor is configurable for executing and deposit
The program stored in reservoir.
Fourth aspect, the embodiment of the present invention also provide a kind of computer storage medium, mention for being stored as above-described embodiment
Computer software instructions used in the device of confession.
MAC Address matching process and device provided in an embodiment of the present invention, wherein the MAC Address matching process includes: head
First, it is bound by the first confidence level function of bayonet collector and MAC collector by calibration, calculating license plate and MAC Address
First confidence level needs exist for being illustrated, the first confidence level function be the pre- mode for first passing through calibration vehicle to clock into
Row calibration, also, bind bayonet collector and MAC collector well, then, bayonet collector is while acquiring license plate
The human face image information of front passenger in collecting vehicle, when the clarity of human face image information meets preset standard definition,
The second confidence level of human face image information and MAC Address binding is calculated, in this way, when the first confidence level and the second confidence level are more than
When preset confidence threshold, above-mentioned license plate, MAC Address and human face image information are subjected to confidence binding, to make vehicle, movement
Terminal and personnel are effectively matched, and then reduce the cost manually verified, convenient and efficient.
Other features and advantages of the present invention will illustrate in the following description, also, partly become from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention are in specification, claims
And specifically noted structure is achieved and obtained in attached drawing.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 shows the first pass figure of MAC Address matching process provided by the embodiment of the present invention；
Fig. 2 shows the second flow charts of MAC Address matching process provided by the embodiment of the present invention；
Fig. 3 shows the third flow chart of MAC Address matching process provided by the embodiment of the present invention；
Fig. 4 shows the structure connection figure of MAC Address coalignment provided by the embodiment of the present invention.
Icon: 1- the first confidence calculations module；2- the second confidence calculations module；3- confidence binding module.
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, is not intended to limit claimed invention to the detailed description of the embodiment of the present invention provided in the accompanying drawings below
Range, but it is merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
Currently, people usually can carry the electronic equipments such as mobile phone, computer when outgoing.And it also will be installed in vehicle
The equipment such as electronic navigation, automobile data recorder, also, each mobile phone, computer, automobile data recorder have oneself corresponding MAC Address.
Since a host has a MAC Address, has the IP address for being specific to it in corresponding each network site.MAC
Location can be collected by MAC collector in a certain range.The accuracy arrested can not be ensured by the crawl of license board information.It is former
It just can not continue to track because being that personnel of driving once replaces vehicle, so that effective can not be carried out for vehicle and personnel
Match.
Based on this, the embodiment of the invention provides MAC Address matching process and devices, are retouched below by embodiment
It states.
Embodiment 1
Referring to figure 1, figure 2 and figure 3, the present embodiment propose MAC Address matching process specifically includes the following steps:
Step S101: by by calibration bayonet collector and MAC collector the first confidence level function, calculate license plate and
First confidence level of MAC Address binding.
Step S102: when the clarity of human face image information meets preset standard definition, facial image letter is calculated
Second confidence level of breath and MAC Address binding, wherein human face image information is acquired by bayonet collector.
Step S103: when the first confidence level and the second confidence level are more than preset confidence threshold, by license plate and MAC
Location, MAC Address and human face image information carry out confidence binding respectively.
Above-mentioned each step is described in detail below, by the bayonet collector and MAC by calibration in step S101
First confidence level function of collector includes:
(1) bayonet collector x is in first time tiIt detects license plate i, needs exist for being illustrated, be acquired
Before, the information such as the coordinate of bayonet collector and MAC collector in road network are obtained, first to obtain bayonet all in road network
Collector and MAC collector.In this way, by bayonet collector x in first time tiCar plate detection is carried out to the vehicle of process, and will
The license plate detected is denoted as license plate i.
(2) MAC collector y is in the second time tjMAC Address j is collected, in this way, MAC collector usually has radio frequency function
Can, in the second time tj, by the MAC Address of the electronic equipment of the vehicle interior of MAC collector acquisition process, and will be collected
MAC Address is denoted as MAC Address j.
(3) interval of delta t with the second time at the first time is calculatedij=tj-ti, work as tjEarlier than tiWhen, Δ tijValue be negative
Number；Work as tjEarlier than tiWhen, Δ tijValue be positive number.
(4) a confidence function is created for above-mentioned license plate i and MAC Address j, and enabling function initial value is 0, i.e. calculating bayonet is adopted
First confidence level function Con of storage and MAC collectorxy(Δtij)=0.
(5) the first confidence level function is calibratedWherein, T is calibration empirical value, specific implementation
When, the closer bayonet collector of longitude and latitude and MAC collector are selected from above-mentioned coordinate information, pass through the modes clock synchronization such as calibration vehicle
Clock is corrected, and binds bayonet collector and MAC collector well, later, according to the first confidence level functionIt is calibrated.It needs to be illustrated, the specific value of calibration empirical value T can be according to circumstances
Flexibly set.
The first confidence level for calculating license plate and MAC Address binding in step s101 specifically includes:
Step S1011: obtaining the set X of all bayonet collectors and the set Y of all MAC collectors respectively, to increase
The accuracy of acquisition.
Step S1012: it calculates first time manifold and closes IJxy, need to be illustrated, first number is for license plate i and MAC
Location j passes through all numbers of XY, counts first number and is put into set IJxy.In the present embodiment, when MAC Address j is in time T
When occurring multiple, the first confidence level of the binding of the corresponding MAC Address j of the smallest time interval Δ t is calculated, i.e. selection license plate i
MAC Address j corresponding to the lesser Δ t of interval duration with MAC Address j.And for the same bayonet collector, when multiple inspection
It is when measuring license plate i, then multiple without calculating.
Step S1013: the first confidence level of license plate i and MAC Address j binding is calculated
So that vehicle and electronic equipment are matched.
In step s 102 when the clarity of human face image information meets preset standard definition, facial image is calculated
Information and the second confidence level of MAC Address binding specifically include:
(1) whether the clarity for comparing human face image information meets preset standard definition, needs to be illustrated,
Preset standard definition is the definition values got by empirical value, when bayonet collector gets human face image information
Afterwards, its clarity is distinguished, judges whether its clarity meets preset standard definition.
(2) when the clarity of human face image information meets preset standard definition, i.e., human face image information is clear
When spending enough, searched whether in face database exist with the consistent people information of human face image information, i.e., judge facial image letter
Breath is one of face database.
(3) in the presence of lookup result is, the middle acquisition people information k from above-mentioned face database.
(4) in the absence of lookup result is, the newly-built and consistent people information k of human face image information, also, the personage
Information k is stored in face database, to increase the data storage of face database, is convenient for subsequent comparison.
(5) the set X of all bayonet collectors and the set Y of all MAC collectors are obtained, respectively to limit the second confidence
The scope of application of degree.
(6) it calculates second of manifold and closes KJxy, ibid, second several behaviour object information k and MAC Address j are by all of XY
Number.
(7) the second confidence level of people information k and MAC Address j binding is calculatedWith
Just personnel and electronic equipment are matched.
In addition, MAC Address matching process further includes the update to the first confidence level function, specifically include:
Step S201: not calibrated bayonet is calculated according to the license plate, MAC Address and human face image information of confidence binding and is adopted
Second confidence level function of storage and MAC collector, that is, repeat the above steps, according to the license plate of above-mentioned confidence binding, MAC Address
And human face image information, new bayonet collector and MAC collector are calculated, more license plates, MAC Address and facial image are obtained
The confidence of information is bound, and more accurate second confidence level function is obtained.
Step S202: being updated to the second confidence level function for the first confidence level function, carry out the first confidence level function
It updates.
Not calibrated card is calculated according to the license plate, MAC Address and human face image information of confidence binding in step s 201
Second confidence level function of mouth collector and MAC collector specifically includes:
(1) count | Δ tijThe confidence of |≤MaxT is bundled in the frequency n that each time interval Δ t occursΔt, said
Bright, the unit of time interval is determined by the collection period of MAC collector, and collection period is to differ for 10 seconds, 20 seconds, 60 seconds.
(2) fitting nΔtIt with the relation function of Δ t, needs exist for being illustrated, the method for fitting has Nonlinear Quasi
Conjunction, neural network fitting etc..In the present embodiment, objective function F is obtained by nonlinear fittingxy(Δ t)=a1xyΔt+a2xy
Δt2+...+an-1xyΔtn-1+anxyΔtn, also, with least square method (but being not limited only to least square method) by above-mentioned target
Coefficient in function is minimized.
(3) the second confidence level function of the bayonet collector and MAC collector calibratedHere,
N is | Δ tijThe total degree that the confidence binding of |≤MaxT occurs, MaxT Parameter adjustable.
In conclusion MAC Address matching process provided in this embodiment includes: firstly, being acquired by the bayonet by calibration
First confidence level function of device and MAC collector, to calculate the first confidence level of license plate and MAC Address binding, then, bayonet is adopted
Storage carries out the acquisition of facial image while acquiring license plate to interior front-seat personnel, when the clarity of human face image information
When meeting preset standard definition, the second confidence level of human face image information and MAC Address binding is calculated, wherein standard is clear
Clear degree is preset by empirical value, in this way, when the first confidence level and the second confidence level are more than preset confidence threshold, by vehicle
Board and MAC Address, MAC Address and human face image information carry out confidence binding respectively, that is, with assert the corresponding vehicle of license plate, MAC
The corresponding mobile device in location and the corresponding personnel of human face image information have binding relationship, thus by vehicle, mobile device and people
Member is effectively matched, convenient and efficient.
Embodiment 2
Referring to fig. 4, present embodiments providing MAC Address coalignment includes: the first confidence calculations mould being sequentially connected
Block 1, the second confidence calculations module 2 and confidence binding module 3, in use, the first confidence calculations module is used for by by school
First confidence level function of quasi- bayonet collector and MAC collector calculates the first confidence level of license plate and MAC Address binding,
Second confidence calculations module is used for when the clarity of human face image information meets preset standard definition, calculates face figure
The second confidence level bound as information and MAC Address, wherein human face image information is acquired by bayonet collector, and confidence binds mould
Block is used for when the first confidence level and the second confidence level are more than preset confidence threshold, by license plate and MAC Address, MAC Address
Confidence binding is carried out respectively with human face image information, and then realizes being effectively matched for vehicle, mobile terminal and personnel.
In conclusion MAC Address coalignment provided in this embodiment includes: the first confidence calculations mould being sequentially connected
Block, the second confidence calculations module and confidence binding module, in use, the first confidence calculations module is used for by by calibration
First confidence level function of bayonet collector and MAC collector, the first confidence level of calculating license plate and MAC Address binding, second
Confidence calculations module is used for when the clarity of human face image information meets preset standard definition, calculates facial image letter
Second confidence level of breath and MAC Address binding, wherein human face image information is acquired by bayonet collector, and confidence binding module is used
In when the first confidence level and the second confidence level are more than preset confidence threshold, by license plate and MAC Address, MAC Address and people
Face image information carries out confidence binding respectively, in this way, vehicle, mobile terminal and personnel are effectively matched, carries out with artificial
Verification is compared, time saving and energy saving, convenient accurate.
The embodiment of the invention also provides a kind of terminal, including memory and processor, memory is supported for storing
Processor executes the program of above-described embodiment method, and processor is configurable for executing the program stored in memory.
The present embodiment additionally provides a kind of computer storage medium, for being stored as used in device provided by the above embodiment
Computer software instructions.
It should be noted that all the embodiments in this specification are described in a progressive manner, each embodiment weight
Point explanation is the difference from other embodiments, and the same or similar parts between the embodiments can be referred to each other.
The technical effect of MAC Address matching process and device provided by the embodiment of the present invention, realization principle and generation and aforementioned side
Method embodiment is identical, and to briefly describe, Installation practice part does not refer to place, can refer in corresponding in preceding method embodiment
Hold.
In several embodiments provided herein, it should be understood that disclosed device and method can also pass through
Other modes are realized.The apparatus embodiments described above are merely exemplary, for example, flow chart and block diagram in attached drawing
Show the device of multiple embodiments according to the present invention, the architectural framework in the cards of method and computer program product,
Function and operation.In this regard, each box in flowchart or block diagram can represent the one of a module, section or code
Part, a part of the module, section or code, which includes that one or more is for implementing the specified logical function, to be held
Row instruction.It should also be noted that function marked in the box can also be to be different from some implementations as replacement
The sequence marked in attached drawing occurs.For example, two continuous boxes can actually be basically executed in parallel, they are sometimes
It can execute in the opposite order, this depends on the function involved.It is also noted that every in block diagram and or flow chart
The combination of box in a box and block diagram and or flow chart can use the dedicated base for executing defined function or movement
It realizes, or can realize using a combination of dedicated hardware and computer instructions in the system of hardware.
In addition, each functional module or unit in each embodiment of the present invention can integrate one independence of formation together
Part, be also possible to modules individualism, an independent portion can also be integrated to form with two or more modules
Point.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence, indication or suggestion relative importance can not be interpreted as.Moreover, term " packet
Include ", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion so that including the mistake of a series of elements
Journey, method, article or equipment not only include those elements, but also including other elements that are not explicitly listed, either
It further include for elements inherent to such a process, method, article, or device.In the absence of more restrictions, by sentence
The element that "including a ..." limits, it is not excluded that also deposit in the process, method, article or apparatus that includes the element
In other identical element.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.It should also be noted that similar label and letter exist
Similar terms are indicated in following attached drawing, therefore, once being defined in a certain Xiang Yi attached drawing, are then not required in subsequent attached drawing
It is further defined and explained.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1.MAC address matching method characterized by comprising
By passing through the bayonet collector of calibration and the first confidence level function of MAC collector, what calculating license plate and MAC Address were bound
First confidence level；
When the clarity of human face image information meets preset standard definition, calculates human face image information and MAC Address is tied up
The second fixed confidence level, wherein the human face image information is acquired by the bayonet collector；
When first confidence level and second confidence level are more than preset confidence threshold, by the license plate and described
MAC Address, the MAC Address and the human face image information carry out confidence binding respectively；
Not calibrated card is calculated according to the license plate, the MAC Address and the human face image information of confidence binding
Second confidence level function of mouth collector and MAC collector；
The first confidence level function is updated to the second confidence level function.
2. MAC Address matching process according to claim 1, which is characterized in that the bayonet by by calibration acquires
First confidence level function of device and MAC collector includes:
The bayonet collector x is in first time tiDetect license plate i；
The MAC collector y is in the second time tjCollect MAC Address j；
Calculate the interval of delta t of the first time and second timeij=tj-ti；
Calculate the first confidence level function Con of the bayonet collector and the MAC collectorxy(Δtij)=0；
Calibrate the first confidence level functionWherein, T is calibration empirical value.
3. MAC Address matching process according to claim 1, which is characterized in that the calculating license plate and MAC Address binding
The first confidence level include:
The set X of all bayonet collectors and the set Y of all MAC collectors are obtained respectively；
It calculates first time manifold and closes IJxy, wherein first number is all numbers that license plate i and MAC Address j passes through XY；
Calculate the first confidence level of the license plate i and MAC Address j bindingWherein, Δ
tijFor the interval duration of license plate i and MAC Address j.
4. MAC Address matching process according to claim 1, which is characterized in that described to work as the clear of human face image information
When degree meets preset standard definition, the second confidence level for calculating human face image information and MAC Address binding includes:
Whether the clarity for comparing the human face image information meets preset standard definition；
When the clarity of the human face image information meets preset standard definition, searched whether in face database exist with
The consistent people information of human face image information；
In the presence of lookup result is, the people information k is obtained；
In the absence of lookup result is, create and the consistent people information k of the human face image information；
The set X of all bayonet collectors and the set Y of all MAC collectors are obtained respectively；
It calculates second of manifold and closes KJxy, wherein second number passes through the institute of XY for the people information k and MAC Address j
There is number；
Calculate the second confidence level of people information k and MAC Address j bindingWherein, Δ tkj
For the interval duration of people information k and MAC Address j.
5. MAC Address matching process according to claim 3, which is characterized in that the institute bound according to the confidence
State license plate, the MAC Address and the human face image information calculate not calibrated bayonet collector and MAC collector second
Confidence level function includes:
Statistics | Δ tijThe confidence of |≤MaxT is bundled in the frequency n that each time interval Δ t occursΔt；Wherein, MaxT is that size can
Adjust parameter；
Fitting nΔtWith the relation function of Δ t, objective function F is obtainedxy(Δ t)=a1xyΔt+a2xyΔt2+...+an-1xyΔtn-1+
anxyΔtn；
The bayonet collector of calibration and the second confidence level function of MAC collectorWherein, N is | Δ
tijThe total degree that the confidence binding of |≤MaxT occurs, MaxT Parameter adjustable.
6. MAC Address matching process according to claim 3, which is characterized in that the method also includes:
When MAC Address j occurs multiple in time T, the corresponding MAC Address j of the smallest time interval Δ t is calculated
Binding the first confidence level.
7.MAC address matching device characterized by comprising
First confidence calculations module, the first confidence level function of bayonet collector and MAC collector for being calibrated by process,
Calculate the first confidence level of license plate and MAC Address binding；
Second confidence calculations module, for calculating when the clarity of human face image information meets preset standard definition
Second confidence level of human face image information and MAC Address binding, wherein the human face image information is adopted by the bayonet collector
Collection；
Confidence binding module, for when first confidence level and second confidence level are more than preset confidence threshold,
The license plate, the MAC Address and the human face image information are subjected to confidence binding；The vehicle bound according to the confidence
Board, the MAC Address and the human face image information calculate the second confidence of not calibrated bayonet collector and MAC collector
Spend function；The first confidence level function is updated to the second confidence level function.
8. a kind of terminal, which is characterized in that including memory and processor, the memory supports processor to hold for storing
The program of any one of row claim 1 to 6 the method, the processor is configured to being stored in the memory for executing
Program.
9. a kind of computer storage medium, which is characterized in that soft for being stored as computer used in terminal described in claim 8
Part instruction.
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| CN110837753A (en) * | 2018-08-16 | 2020-02-25 | 成都华迈通信技术有限公司 | Collective and separate model for human-vehicle object identification and control and use method thereof |
| CN109992681B (en) * | 2018-12-28 | 2021-07-06 | 杭州励飞软件技术有限公司 | Data fusion method and related product |
| CN110191429B (en) * | 2019-05-29 | 2022-09-27 | 福建威盾科技集团有限公司 | Vehicle and wifi collision method based on group intelligent algorithm |
| CN110852372B (en) * | 2019-11-07 | 2022-05-31 | 北京爱笔科技有限公司 | Data association method, device and equipment and readable storage medium |
| CN110933195A (en) * | 2019-11-25 | 2020-03-27 | 福建金石电子有限公司 | Matching method, device and equipment based on portrait, MAC, IMSI and license plate |
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