CN110175904A - Detection method, system, equipment and the storage medium of shop volume of the flow of passengers level ground effect - Google Patents
Detection method, system, equipment and the storage medium of shop volume of the flow of passengers level ground effect Download PDFInfo
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Abstract
The present invention provides a kind of detection methods of shop volume of the flow of passengers level ground effect, comprising: obtains the image information of target area；The target image information in preset time period T is obtained according to the image information；According to volume of the flow of passengers data of the target area described in the target image information analysis in the preset time period T, the volume of the flow of passengers data include customer quantity and the purchase volume estimated value of each client；The first conclusion of the business sum is calculated according to the purchase volume estimated value of each client and customer quantity；The second conclusion of the business sum is calculated according to the sales data in the sales data for obtaining businessman in the preset time period T；Calculate the described first conclusion of the business difference to strike a bargain between sum and the second conclusion of the business sum；The credit risk grade of the businessman is predicted according to the conclusion of the business difference.The embodiment of the invention provides detection system, equipment and the storage mediums of shop volume of the flow of passengers level ground effect.The embodiment of the present invention is monitored businessman without manpower, saves manpower and monitoring period.
Description
Technical field
The present embodiments relate to the detection sides that data analysis technique field more particularly to a kind of shop volume of the flow of passengers level ground are imitated
Method, system, equipment and storage medium.
Background technique
Currently, economic environment variation is very fast, the continuous variation in market causes the operation financial situation of client constantly to change.It is right
The professional of bank's post-loan management, Risk-warning and adaptibility to response and level of decision-making and efficiency are put forward higher requirements.It may
When examining credit, customer management financial situation is good, but due to the influence that the influence of Industry Policy, clients investment are made mistakes, supply and demand
The influence that relationship changes can cause the operation financial situation of client to send out the larger undesirable change of ox.Especially such as shop, supermarket etc.
Small enterprise it is very fuzzy to the evaluation criterion of loan, the account current of businessman of the borrower's company based on loan investigates businessman
It is not rigorous enough.
Traditional loan analysis report is more by operation, flowing water to lender etc. often by bank client managers
The concrete analysis that the situation of aspect carries out certain period obtains the report of management state, and businessman's qualification of providing a loan in order to obtain is easy
Fraud information is generated, it is high so as to cause non-performing loan rate.And the at high cost of small business loan information is investigated, small enterprise belongs to people
Power intensity industry, the credit appraisal for monitoring loan small enterprise simply by virtue of manpower is time-consuming and laborious, and return rate is low, and customer manager is dynamic
Power is insufficient.
Therefore, how to identify that creditor's information is cheated, be currently to want so as to which the credit risk of creditor is effectively predicted
One of solve the problems, such as.
Summary of the invention
In view of this, the purpose of the embodiment of the present invention is that providing a kind of detection method of shop volume of the flow of passengers level ground effect, system, setting
Standby and storage medium, can be by the volume of the flow of passengers data in analysis preset time period T, can be effectively pre- according to volume of the flow of passengers data
The credit risk grade of the businessman is surveyed, extensive investigation is carried out to businessman without manpower, to save manpower and time.
To achieve the above object, the embodiment of the invention provides a kind of detection methods of shop volume of the flow of passengers level ground effect, including such as
Lower step:
Obtain the image information of target area；
The target image information in preset time period T is obtained according to the image information；
According to volume of the flow of passengers data of the target area described in the target image information analysis in the preset time period T,
The volume of the flow of passengers data include customer quantity and the purchase volume estimated value of each client；
The first conclusion of the business sum is calculated according to the purchase volume estimated value of each client and the customer quantity；
The second conclusion of the business is calculated according to the sales data in the sales data for obtaining businessman in the preset time period T
Sum；
Calculate the described first conclusion of the business difference to strike a bargain between sum and the second conclusion of the business sum；
The credit risk grade of the businessman is predicted according to the conclusion of the business difference.
Further, volume of the flow of passengers data of the analysis target area in the preset time period T, specifically:
The volume of the flow of passengers data in the target image information are identified by pedestrian detection model, wherein the pedestrian detection
Model includes YOLOv3 pedestrian detection model.
Further, volume of the flow of passengers data of the analysis target area in the preset time period T, further includes:
Duplicate removal is carried out to n pedestrian image in the target image information, filters same person's weight in preset time period T
Multiple pedestrian image is to count to obtain pedestrian's quantity m.
Further, volume of the flow of passengers data of the analysis target area in the preset time period T, further includes:
The age from m pedestrian of the target image Information Statistics is identified, to obtain the q in the preset time period T
A consumption age bracket.
Further, the sales data includes the article and the amount of money that the businessman sells in the preset time period T
List；
Include: according to the step that the second conclusion of the business sum is calculated in the sales data
It is added the consumption sum for all items sold in preset time period T described in the businessman to obtain the second conclusion of the business total
Number.
Further, the step of predicting the credit risk grade of the businessman according to the conclusion of the business difference include:
Judge whether the conclusion of the business difference is more than preset threshold；
If the conclusion of the business difference is more than preset threshold, predict that the businessman corresponds to credit risk grade；
Wherein, the credit risk grade is used to indicate the loan application for refusing the businessman.
Further, the credit risk grade includes refund risk class, and the refund risk class is for judgement
The no loan for continuing to provide the businessman.
To achieve the above object, the embodiment of the invention also provides a kind of detection systems of shop volume of the flow of passengers level ground effect, comprising:
First obtains module, for obtaining the image information of target area, wherein the target area is that businessman manages field
Institute；
Second obtains module, for obtaining the target image information in preset time period T in image information；
Analysis module, for the target area according to the target image information analysis in the preset time period T
Volume of the flow of passengers data, the volume of the flow of passengers data include customer quantity and the purchase volume estimated value of each client；
First computing module, for being calculated according to the purchase volume estimated value and the customer quantity of each client
First conclusion of the business sum；
Second computing module, for obtaining the sales data of businessman in the preset time period T, according to the sales data
The second conclusion of the business sum is calculated；
Detection module, for calculating the described first conclusion of the business difference to strike a bargain between sum and the second conclusion of the business sum, and
And the credit risk grade of the businessman is predicted according to the conclusion of the business difference.
To achieve the above object, the embodiment of the invention also provides a kind of computer equipment, including memory, processor with
And the computer program that can be run on a memory and on a processor is stored, when the processor executes the computer program
Realize following steps:
Obtain the image information of target area；
The target image information in preset time period T is obtained according to the image information；
According to volume of the flow of passengers data of the target area described in the target image information analysis in the preset time period T,
The volume of the flow of passengers data include customer quantity and the purchase volume estimated value of each client；
The first conclusion of the business sum is calculated according to the purchase volume estimated value of each client and the customer quantity；
The second conclusion of the business is calculated according to the sales data in the sales data for obtaining businessman in the preset time period T
Sum；
Calculate the described first conclusion of the business difference to strike a bargain between sum and the second conclusion of the business sum；
The credit risk grade of the businessman is predicted according to the conclusion of the business difference.
To achieve the above object, the embodiment of the invention also provides a kind of computer readable storage medium, the computers
Computer program is stored in readable storage medium storing program for executing, the computer program can be performed by least one processor, so that institute
State the step of at least one processor executes the detection method of the shop volume of the flow of passengers as described above level ground effect.
Detection method, system, equipment and the storage medium of the shop volume of the flow of passengers provided in an embodiment of the present invention level ground effect, to businessman
Monitor video analyzed, obtain shop volume of the flow of passengers situation data report, then according to true businessman's management state with
The evaluation criterion of loan compares, to judge whether businessman has repaying ability, does not need manpower and is monitored to businessman,
Save the time of manpower monitoring.
Detailed description of the invention
Fig. 1 is the flow chart of the detection method embodiment one of the shop volume of the flow of passengers of the present invention level ground effect.
Fig. 2 is the program module schematic diagram of the detection system embodiment two of the shop volume of the flow of passengers of the present invention level ground effect.
Fig. 3 is the hardware structural diagram of computer equipment embodiment three of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not
For limiting the present invention.Based on the embodiments of the present invention, those of ordinary skill in the art are not before making creative work
Every other embodiment obtained is put, shall fall within the protection scope of the present invention.
Embodiment one
Refering to fig. 1, the step flow chart of the detection method of the shop volume of the flow of passengers level ground effect of the embodiment of the present invention one is shown.It can
To understand, the flow chart in this method embodiment, which is not used in, is defined the sequence for executing step.It is below to hold with server
Row main body carries out exemplary description.It is specific as follows.
Step S101: the image information of target area is obtained.
The target area can be businessman management place, such as the shop in shop.
Specifically, the server of bank can establish a connection with the camera of businessman, and obtain the camera
Call permission.The calling permission includes the image information for obtaining the camera acquisition.The i.e. described server can be according to silver
The instruction of administrative staff obtains the image information (such as video information) of the camera, can also obtain the shadow of the camera in real time
As information.
Step S102: the target image information in preset time period T is obtained according to the image information.
Specifically, the preset time period T is the period that bank personnel is picked out at random out of monitoring time.To keep away
Exempt from due to businessman to be mainly medium-sized and small enterprises, business system is incomplete, in order to obtain loan qualification, and manufactures false flowing water
The problem of single information.
Step S103: according to visitor of the target area described in the target image information analysis in the preset time period T
Data on flows, the volume of the flow of passengers data include customer quantity and the purchase volume estimated value of each client.
Wherein, the purchase volume estimated value is to carry out "ball-park" estimate according to the total purchase amount of money of customer quantity and client.
For example, businessman provides client's flowing water list in a period of time, there is the purchase number of client to may know that customer quantity, and visitor above
The total purchase amount of money in family, purchase volume estimated value are total number of persons of the total purchase amount of money of client divided by client.
Illustratively, volume of the flow of passengers data of the analysis target area in the preset time period T, specifically:
The volume of the flow of passengers data in the target image information are identified by pedestrian detection model, wherein the pedestrian detection
Model includes YOLOv3 pedestrian detection model.
Illustratively, volume of the flow of passengers data of the analysis target area in the preset time period T, further includes:
Duplicate removal is carried out to n pedestrian image in the target image information, filters same person's weight in preset time period T
Multiple pedestrian image is to count to obtain pedestrian's quantity m (n≤m)；And
The age from m pedestrian of the target image Information Statistics is identified, to obtain the q in the preset time period T
(m≤q) a consumption age bracket, from the purchase volume of the angle of purchasing power detection businessman.Such as if purchase crowd 18 years old with
Under occupy the majority, and purchase volume and turnover are excessive, illustrate in the presence of false purchase information.
Pedestrian detection technology (Pedestrian Detection) is to judge image or view using computer vision technique
It whether there is pedestrian in frequency sequence and give and be accurately positioned.Pedestrian identifies (Person re-identification) also referred to as again
Pedestrian identifies again, is the technology for judging to whether there is in image or video sequence specific pedestrian using computer vision technique.
Pedestrian identifies again plays a crucial role a variety of applications such as personage's retrieval, suspect's search.
In video monitoring environment, the macroscopic features of pedestrian is easier to extract and indicate.Therefore, with the difference of a group traveling together
Macroscopic features has certain robustness.In order to reduce the variation of appearance caused by visual angle change, pedestrian detection technology is by being based on
The feature extraction of human body symmetry.Head, trunk, leg and left and right are divided on human body by a preprocessing process first
Then symmetrical axis extracts the various features in each region other than head, including accumulation color characteristic and textural characteristics.Again
It is identified again in conjunction with the global and local macroscopic features of pedestrian: the continuous extraction first according to pedestrian under single camera
Multiple key frame images, and with accumulation HSV (Hue, the tone of multiple image；Saturation, saturation degree；Value, brightness) face
Color Histogram indicates global characteristics；Secondly, after human body being divided into upper and lower half body and removing head zone, extract it is each it is upper,
The block message frequently occurred in lower part of the body multiple image indicates local feature；The last global and local feature of Weighted Fusion is gone
People identifies again.
Specifically, in each period daily of shop the volume of the flow of passengers number can to a certain extent side reflection businessman by
The quality of ratings and management state, if the radix of volume of the flow of passengers data is big in shop, the friendship purchase volume in shop necessarily also can phase
To more.
Step S104: the first conclusion of the business is calculated according to the purchase volume estimated value of each client and the customer quantity
Sum.
Specifically, carrying out "ball-park" estimate according to customer's purchase volume each in video in preset time period T obtains purchase volume
Then the purchase volume estimated value of each customer is multiplied to obtain the first conclusion of the business sum with customer quantity by estimated value again.
Step S105: the sales data of businessman in the preset time period T is obtained, is calculated according to the sales data
Second conclusion of the business sum.
Illustratively, the sales data includes the article and the amount of money that the businessman sells in the preset time period T
List；
Include: according to the step that the second conclusion of the business sum is calculated in the sales data
It is added the consumption sum for all items sold in preset time period T described in the businessman to obtain the second conclusion of the business total
Number.
Specifically, sales data includes the article that businessman is sold in preset time period T and amount of money list, businessman is sold
Every amount of money summation of article is added to obtain the second conclusion of the business sum out.It is good that businessman what sales volume can be calculated when necessary, as
The reference of merchant transaction amount.
Step S106: the described first conclusion of the business difference to strike a bargain between sum and the second conclusion of the business sum is calculated.
Specifically, conclusion of the business difference be used for as whether agree to businessman loan requests judgment criteria and agreement offer loans after
To businessman whether also with repaying ability monitoring.Judgment criteria typically refers to credit, quality, the debt paying ability of assessment object
And the index levels of capital etc..The present invention mainly passes through trading situation in the analysis creditor i.e. shop of businessman and repays to creditor
Debt ability is assessed.Fund can be issued to businessman in batches after the monitoring mainly loan of bank's agreement hair creditor after loan,
If the problems such as great mismanagement, which occurs, in period businessman to cause management state to go wrong and make the reduction of its debt payback ability, bank can
Decide whether to continue to offer loans again to assess it.
Step S107: the credit risk grade of the businessman is predicted according to the conclusion of the business difference.
Illustratively, the step of predicting the credit risk grade of the businessman according to the conclusion of the business difference include:
Judge whether the conclusion of the business difference is more than preset threshold；
If the conclusion of the business difference is more than preset threshold, predict that the businessman corresponds to credit risk grade；
Wherein, the credit risk grade is used to indicate the loan application for refusing the businessman.
Illustratively, the credit risk grade includes refund risk class, and the refund risk class is for judgement
The no loan for continuing to provide the businessman.
Specifically, illustrating that the quantity purchase of businessman is problematic, there are void if the conclusion of the business difference of businessman is more than such as 10,000
False shopping information, the loan repayment scarce capacity of the businessman reject the loan requests of businessman to repay the loan.If having sent out
Lending money illustrates the subsequent scarce capacity repaid the loan of businessman, then stops the granting to the subsequent loan fund of loan businessman.
Embodiment two
Please continue to refer to Fig. 2, the program module of the detection system embodiment two of the shop volume of the flow of passengers of the present invention level ground effect is shown
Schematic diagram.In the present embodiment, the detection system of shop volume of the flow of passengers level ground effect may include or be divided into one or more programs
Module, one or more program module are stored in storage medium, and as performed by one or more processors, to complete
The present invention, and can realize the detection method of above-mentioned shop volume of the flow of passengers level ground effect.The so-called program module of the embodiment of the present invention refers to energy
The series of computation machine program instruction section for enough completing specific function, than program itself more suitable for description shop volume of the flow of passengers level ground effect
Implementation procedure of the detection system in storage medium.The function of each program module of the present embodiment will specifically be introduced by being described below:
First obtains module 201, for obtaining the image information of target area.
Specifically, target area can be businessman management place, such as the shop in shop.The server of bank can be with shop
Camera establish a connection, and obtain the calling permission of the camera.The calling permission includes obtaining the camera shooting
The image information of head acquisition.The i.e. described server can obtain the image information of the camera according to the instruction of bank personnel
(such as video information) can also obtain the image information of the camera in real time.
Second obtains module 202, for obtaining the target image information in preset time period T in image information.
Specifically, the preset time period T is the period that bank personnel is picked out at random out of monitoring time.To keep away
Exempt from due to businessman to be mainly medium-sized and small enterprises, business system is incomplete, in order to obtain loan qualification, and manufactures false flowing water
The problem of single information.
Analysis module 203, for the target area according to the target image information analysis in the preset time period T
Interior volume of the flow of passengers data, the volume of the flow of passengers data include customer quantity and the purchase volume estimated value of each client.
Wherein, the purchase volume estimated value is to carry out "ball-park" estimate according to the total purchase amount of money of customer quantity and client.
For example, businessman provides client's flowing water list in a period of time, there is the purchase number of client to may know that customer quantity, and visitor above
The total purchase amount of money in family, purchase volume estimated value are total number of persons of the total purchase amount of money of client divided by client.
Illustratively, the volume of the flow of passengers data in the target image information are identified by pedestrian detection technology, wherein described
Pedestrian detection technology includes the pedestrian detection technology of YOLOv3 etc..
Illustratively, duplicate removal is carried out to n pedestrian image in the target image information, filtered in preset time period T
The duplicate pedestrian image of the same person is to count to obtain pedestrian's quantity m (m≤n).
Illustratively, the age from m pedestrian of the target image Information Statistics is identified, to obtain the preset time
A consumption age bracket of q (m≤q) in section T, from the purchase volume of the angle of purchasing power detection businessman.
Pedestrian detection technology (Pedestrian Detection) is to judge image or view using computer vision technique
It whether there is pedestrian in frequency sequence and give and be accurately positioned.Pedestrian identifies (Person re-identification) also referred to as again
Pedestrian identifies again, is the technology for judging to whether there is in image or video sequence specific pedestrian using computer vision technique.
Pedestrian identifies again plays a crucial role a variety of applications such as personage's retrieval, suspect's search.
In video monitoring environment, the macroscopic features of pedestrian is easier to extract and indicate.Therefore, with the difference of a group traveling together
Macroscopic features has certain robustness.In order to reduce the variation of appearance caused by visual angle change, pedestrian detection technology is by being based on
The feature extraction of human body symmetry.Head, trunk, leg and left and right are divided on human body by a preprocessing process first
Then symmetrical axis extracts the various features in each region other than head, including accumulation color characteristic and textural characteristics.Again
It is identified again in conjunction with the global and local macroscopic features of pedestrian: the continuous extraction first according to pedestrian under single camera
Multiple key frame images, and with accumulation HSV (Hue, the tone of multiple image；Saturation, saturation degree；Value, brightness) face
Color Histogram indicates global characteristics；Secondly, after human body being divided into upper and lower half body and removing head zone, extract it is each it is upper,
The block message frequently occurred in lower part of the body multiple image indicates local feature；The last global and local feature of Weighted Fusion is gone
People identifies again.
First computing module 204, for according to the purchase volume estimated value of each client and customer quantity calculating
Obtain the first conclusion of the business sum.
Specifically, carrying out "ball-park" estimate according to customer's purchase volume each in video in preset time period T obtains purchase volume
Then the purchase volume estimated value of each customer is multiplied to obtain the first conclusion of the business sum with customer quantity by estimated value again.
Second computing module 205, for obtaining the sales data of businessman in the preset time period T, according to the sale
The second conclusion of the business sum is calculated in data.
Illustratively, the sales data includes the article and the amount of money that the businessman sells in the preset time period T
List；
Include: according to the step that the second conclusion of the business sum is calculated in the sales data
It is added the consumption sum for all items sold in preset time period T described in the businessman to obtain the second conclusion of the business total
Number.
Specifically, sales data includes the article that businessman is sold in preset time period T and amount of money list, businessman is sold
Every amount of money summation of article is added to obtain the second conclusion of the business sum out.It is good that businessman what sales volume can be calculated when necessary, as
The reference of merchant transaction amount.
Detection module 206, for calculating the described first conclusion of the business difference to strike a bargain between sum and the second conclusion of the business sum,
And the credit risk grade of the businessman is predicted according to the conclusion of the business difference.
Specifically, illustrating that the quantity purchase of businessman is problematic, there are void if the conclusion of the business difference of businessman is more than such as 10,000
False shopping information, the loan repayment scarce capacity of the businessman reject the loan requests of businessman to repay the loan.If having sent out
Lending money illustrates the subsequent scarce capacity repaid the loan of businessman, then stops the granting to the subsequent loan fund of loan businessman.
Illustratively, the step of predicting the credit risk grade of the businessman according to the conclusion of the business difference include:
Judge whether the conclusion of the business difference is more than preset threshold；
If the conclusion of the business difference is more than preset threshold, predict that the businessman corresponds to credit risk grade；
Wherein, the credit risk grade is used to indicate the loan application for refusing the businessman.
Illustratively, the credit risk grade includes refund risk class, and the refund risk class is for judgement
The no loan for continuing to provide the businessman.
Specifically, conclusion of the business difference be used for as whether agree to businessman loan requests judgment criteria and agreement offer loans after
To businessman whether also with repaying ability monitoring.Judgment criteria typically refers to credit, quality, the debt paying ability of assessment object
And the index levels of capital etc..The present invention mainly passes through trading situation in the analysis creditor i.e. shop of businessman and repays to creditor
Debt ability is assessed.Fund can be issued to businessman in batches after the monitoring mainly loan of bank's agreement hair creditor after loan,
If the problems such as great mismanagement, which occurs, in period businessman to cause management state to go wrong and make the reduction of its debt payback ability, bank can
Decide whether to continue to offer loans again to assess it.Since businessman is the small enterprises such as shop, supermarket, the amount of money root of setting
It is configured according to businessman's institute's amount of the loan with flowing water list.Such as: if the amount of the loan of businessman is 600,000, divides 1 year and pay off, each
The repayment amount of the moon is at least 50,000, on this basis, obtains businessman one month the first conclusion of the business sum and the second conclusion of the business sum
Conclusion of the business difference.If conclusion of the business difference, within 10,000, refund risk class is lower, the loan requests of businessman are agreed to；If between the two
Whether for difference within 30,000, refund risk class is medium, specifically provide a loan and need to be considered；Otherwise refund risk class is higher, different
The loan requests of meaning businessman.
Embodiment three
It is the hardware structure schematic diagram of the computer equipment of the embodiment of the present invention three refering to Fig. 3.It is described in the present embodiment
Computer equipment 2 is that one kind can be automatic to carry out numerical value calculating and/or information processing according to the instruction for being previously set or storing
Equipment.The computer equipment 2 can be rack-mount server, blade server, tower server or Cabinet-type server
(including server cluster composed by independent server or multiple servers) etc..As shown in figure 3, the computer is set
Standby 2 include at least, but are not limited to, can be in communication with each other by system bus connection memory 21, processor 22, network interface 23,
And the detection system 20 of shop volume of the flow of passengers level ground effect.Wherein:
In the present embodiment, memory 21 includes at least a type of computer readable storage medium, the readable storage
Medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory etc.), random access storage device
(RAM), static random-access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory
(EEmROM), programmable read only memory (mROM), magnetic storage, disk, CD etc..In some embodiments, memory
21 can be the internal storage unit of computer equipment 2, such as the hard disk or memory of the computer equipment 2.In other implementations
In example, memory 21 is also possible to the grafting being equipped on the External memory equipment of computer equipment 2, such as the computer equipment 2
Formula hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card
(Flash Card) etc..Certainly, memory 21 can also both including computer equipment 2 internal storage unit and also including outside it
Store equipment.In the present embodiment, memory 21 is installed on the operating system and types of applications of computer equipment 2 commonly used in storage
Software, for example, example IV the shop volume of the flow of passengers level ground effect detection system 20 program code etc..In addition, memory 21 can be with
For temporarily storing the Various types of data that has exported or will export.
Processor 22 can be in some embodiments central processing unit (Central mrocessing Unit, CmU),
Controller, microcontroller, microprocessor or other data processing chips.The processor 22 is commonly used in control computer equipment
2 overall operation.In the present embodiment, program code or processing data of the processor 22 for being stored in run memory 21,
Such as the detection system 20 of operator customer's flow level ground effect, to realize the detection method of the shop volume of the flow of passengers level ground effect of embodiment one.
The network interface 23 may include radio network interface or wired network interface, which is commonly used in
Communication connection is established between the server 2 and other electronic devices.For example, the network interface 23 is used to pass through network for institute
It states server 2 to be connected with exterior terminal, establishes data transmission channel and communication link between the server 2 and exterior terminal
It connects.The network can be intranet (Intranet), internet (Internet), global system for mobile communications
(Global System of Mobile communication, GSM), wideband code division multiple access (Wideband Code
Division Multimle Access, WCDMA), 4G network, 5G network, bluetooth (Bluetooth), Wi-Fi etc. is wireless or
Cable network.
It should be pointed out that Fig. 3 illustrates only the computer equipment 2 with component 20-23, it should be understood that simultaneously
All components shown realistic are not applied, the implementation that can be substituted is more or less component.
In the present embodiment, the detection system 20 for being stored in the shop volume of the flow of passengers level ground effect in memory 21 can be with
It is divided into one or more program module, one or more of program modules are stored in memory 21, and by
One or more processors (the present embodiment is processor 22) are performed, to complete the present invention.
For example, Fig. 2 shows the program modules of 20 embodiment two of detection system of realization shop volume of the flow of passengers level ground effect to show
It is intended to, in the embodiment, the detection system 20 based on shop volume of the flow of passengers level ground effect can be divided into the first acquisition module
201, second module 202, analysis module 203, the first computing module 204, the second computing module 205 and detection module 206 are obtained.
Wherein, the so-called program module of the present invention is the series of computation machine program instruction section for referring to complete specific function, compares program
More suitable for describing implementation procedure of the detection system 20 of shop volume of the flow of passengers level ground effect in the computer equipment 2.It is described
The concrete function of program module 201-206 has had a detailed description in example 2, and details are not described herein.
Example IV
The present embodiment also provides a kind of computer readable storage medium, such as flash memory, hard disk, multimedia card, card-type memory
(for example, SD or DX memory etc.), random access storage device (RAM), static random-access memory (SRAM), read-only memory
(ROM), electrically erasable programmable read-only memory (EEmROM), programmable read only memory (mROM), magnetic storage, magnetic
Disk, CD, server, Amm are stored thereon with computer program, phase are realized when program is executed by processor using store etc.
Answer function.The computer readable storage medium of the present embodiment is used to store the detection system 20 of shop volume of the flow of passengers level ground effect, processed
The detection method of the shop volume of the flow of passengers level ground effect of embodiment one is realized when device executes.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of detection method of shop volume of the flow of passengers level ground effect characterized by comprising
Obtain the image information of target area；
The target image information in preset time period T is obtained according to the image information；
It is described according to volume of the flow of passengers data of the target area described in the target image information analysis in the preset time period T
Volume of the flow of passengers data include customer quantity and the purchase volume estimated value of each client；
The first conclusion of the business sum is calculated according to the purchase volume estimated value of each client and the customer quantity；
The second conclusion of the business sum is calculated according to the sales data in the sales data for obtaining businessman in the preset time period T；
Calculate the described first conclusion of the business difference to strike a bargain between sum and the second conclusion of the business sum；
The credit risk grade of the businessman is predicted according to the conclusion of the business difference.
2. the detection method of the shop volume of the flow of passengers according to claim 1 level ground effect, which is characterized in that the analysis target
The step of volume of the flow of passengers data of the region in the preset time period T, comprising:
The volume of the flow of passengers data in the target image information are identified by pedestrian detection model, wherein the pedestrian detection model
Including YOLOv3 pedestrian detection model.
3. the detection method of the shop volume of the flow of passengers according to claim 2 level ground effect, which is characterized in that the analysis target
The step of volume of the flow of passengers data of the region in the preset time period T, further includes:
Duplicate removal is carried out to n pedestrian image in the target image information, it is duplicate to filter the same person in preset time period T
Pedestrian image is to count to obtain pedestrian's quantity m.
4. the detection method of the shop volume of the flow of passengers according to claim 3 level ground effect, which is characterized in that the analysis target
The step of volume of the flow of passengers data of the region in the preset time period T, further includes:
It identifies the age from m pedestrian of the target image Information Statistics, is disappeared with obtaining the q in the preset time period T
Take age bracket.
5. the detection method of the shop volume of the flow of passengers according to claim 1 level ground effect, which is characterized in that the sales data includes
The article and amount of money list that the businessman sells in the preset time period T；
Include: according to the step that the second conclusion of the business sum is calculated in the sales data
The consumption sum for all items sold in preset time period T described in the businessman is added to obtain the second conclusion of the business sum.
6. the detection method of the shop volume of the flow of passengers according to claim 1 level ground effect, which is characterized in that according to the conclusion of the business difference
The step of predicting the credit risk grade of the businessman include:
Judge whether the conclusion of the business difference is more than preset threshold；
If the conclusion of the business difference is more than preset threshold, predict that the businessman corresponds to credit risk grade；
Wherein, the credit risk grade is used to indicate the loan application for refusing the businessman.
7. the detection method of the shop volume of the flow of passengers according to claim 6 level ground effect, which is characterized in that the credit risk grade
Including refund risk class, the refund risk class is used to judge whether to continue to provide the loan of the businessman.
8. a kind of detection system of shop volume of the flow of passengers level ground effect characterized by comprising
First obtains module, for obtaining the image information of target area；
Second obtains module, for obtaining the target image information in preset time period T in image information；
Analysis module, for visitor of the target area according to the target image information analysis in the preset time period T
Data on flows, the volume of the flow of passengers data include customer quantity and the purchase volume estimated value of each client；
First computing module, for being calculated first according to the purchase volume estimated value and the customer quantity of each client
Strike a bargain sum；
Second computing module is calculated for obtaining the sales data of businessman in the preset time period T according to the sales data
Obtain the second conclusion of the business sum；
Detection module, for calculating the described first conclusion of the business difference to strike a bargain between sum and the second conclusion of the business sum, and root
The credit risk grade of the businessman is predicted according to the conclusion of the business difference.
9. a kind of computer equipment, which is characterized in that including memory, processor and store on a memory and can handle
The computer program run on device, which is characterized in that the processor realizes such as claim when executing the computer program
The step of detection method of the effect of volume of the flow of passengers level ground in shop described in any one of 1-7.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer in the computer readable storage medium
Program, the computer program can be performed by least one processors, so that at least one described processor executes such as right
It is required that the step of detection method of the effect of volume of the flow of passengers level ground in shop described in any one of 1-7.
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| CN201910301153.2A CN110175904A (en) | 2019-04-15 | 2019-04-15 | Detection method, system, equipment and the storage medium of shop volume of the flow of passengers level ground effect |
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