CN111367955A

CN111367955A - Target object identification method and device, electronic equipment and storage medium

Info

Publication number: CN111367955A
Application number: CN201910954977.XA
Authority: CN
Inventors: 孔令爽
Original assignee: Hangzhou Hikvision System Technology Co Ltd
Current assignee: Hangzhou Hikvision System Technology Co Ltd
Priority date: 2019-10-09
Filing date: 2019-10-09
Publication date: 2020-07-03
Anticipated expiration: 2039-10-09
Also published as: CN111367955B

Abstract

The application provides a target object identification method, a target object identification device, an electronic device and a storage medium, wherein the target object identification method comprises the following steps: acquiring an identity of an object to be identified; determining a numerical value corresponding to at least one characteristic attribute of the object to be recognized according to the identity of the object to be recognized; obtaining a total numerical value corresponding to all the characteristic attributes of the object to be identified according to the numerical value corresponding to the at least one characteristic attribute; and under the condition that the total number value meets a preset condition, determining the object to be identified as a target object. This application can realize confirming whether waiting to discern the object for turning over and sell children's suspect according to waiting to discern the object's identification to can carry out the early warning to turning over and sell children's suspect, in time discover turning over and sell children's criminal behavior, improve the probability that is turned over children and is given for change.

Description

Target object identification method and device, electronic equipment and storage medium

[ technical field ] A method for producing a semiconductor device

The present application relates to the field of big data technologies, and in particular, to a method and an apparatus for identifying a target object, an electronic device, and a storage medium.

[ background of the invention ]

A large number of children are offered for sale every year, and the crime of offering for sale of children is a crime which seriously infringes the personal rights of citizens and impairs the social management order. The behavior is devastating to human and tramples on the public order, so that a plurality of families are separated from bone and meat, and the families die, thereby causing a series of social problems.

The probability that the turned children are found back is positively correlated with the time that the turning behavior is found, that is, the turning behavior of the person dealer can be found in time, and the probability that the turned children are found back can be improved to the greatest extent. However, in the related art, a technical scheme for identifying a suspect of a child to be sold is not provided.

[ summary of the invention ]

The embodiment of the application provides a target object identification method, a target object identification device, a target object identification system and electronic equipment, and aims to determine whether an object to be identified is a suspect of a child in abduction according to an identity of the object to be identified, so that the suspect of the child in abduction can be early warned, crimes of the child in abduction can be found in time, and the probability of being retrieved by the child in abduction is improved.

In a first aspect, an embodiment of the present application provides a method for identifying a target object, including: acquiring an identity of an object to be identified; determining a numerical value corresponding to at least one characteristic attribute of the object to be recognized according to the identity of the object to be recognized; obtaining a total numerical value corresponding to all the characteristic attributes of the object to be identified according to the numerical value corresponding to the at least one characteristic attribute; and under the condition that the total number value meets a preset condition, determining the object to be identified as a target object.

In a second aspect, an embodiment of the present application provides an apparatus for identifying a target object, including: the acquisition module is used for acquiring the identity of the object to be identified; the determining module is used for determining a numerical value corresponding to at least one characteristic attribute of the object to be recognized according to the identity of the object to be recognized; the obtaining module is further configured to obtain a total numerical value corresponding to all feature attributes of the object to be identified according to the numerical value corresponding to the at least one feature attribute; and the identification module is used for determining the object to be identified as the target object under the condition that the total number value acquired by the acquisition module meets a preset condition.

In a third aspect, an embodiment of the present application provides an electronic device, including: at least one processor; and at least one memory communicatively coupled to the processor, wherein: the memory stores program instructions executable by the processor, which when called by the processor are capable of performing the method as described above.

In a fourth aspect, embodiments of the present application provide a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the method as described above.

In the above technical solution, after the identity of the object to be recognized is obtained, a numerical value corresponding to at least one characteristic attribute of the object to be recognized is determined according to the identity of the object to be recognized; then, according to the numerical value corresponding to at least one characteristic attribute, obtaining a total numerical value corresponding to all characteristic attributes of the object to be identified; under the condition that the total numerical value meets the preset condition, the object to be recognized is determined to be the target object, wherein the target object is the suspect of the children to be sold under the scene of early warning of the children to be sold, so that whether the object to be recognized is the suspect of the children to be sold can be determined according to the identity of the object to be recognized, the suspect of the children to be sold can be pre-warned, the criminal behavior of the children to be sold can be found in time, and the probability that the children to be sold are found back is improved.

[ description of the drawings ]

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a flow chart of one embodiment of a method for identifying a target object of the present application;

FIG. 2 is a flow chart of another embodiment of a method for identifying a target object of the present application;

FIG. 3 is a flow chart of yet another embodiment of a method for identifying a target object of the present application;

FIG. 4 is a flow chart of yet another embodiment of a method for identifying a target object of the present application;

FIG. 5 is a flow chart of yet another embodiment of a method for identifying a target object of the present application;

FIG. 6 is a flow chart of yet another embodiment of a method for identifying a target object of the present application;

FIG. 7 is a flow chart of yet another embodiment of a method for identifying a target object of the present application;

FIG. 8 is a flow chart of yet another embodiment of a method for identifying a target object of the present application;

FIG. 9 is a flow chart of yet another embodiment of a method for identifying a target object of the present application;

FIG. 10 is a flow chart of yet another embodiment of a method for identifying a target object of the present application;

FIG. 11 is a flow chart of yet another embodiment of a method for identifying a target object of the present application;

FIG. 12 is a flow chart of yet another embodiment of a method for identifying a target object of the present application;

fig. 13 is a schematic diagram illustrating an implementation of determining a value corresponding to the above feature in the identification method of the target object of the present application;

FIG. 14 is a schematic diagram illustrating an embodiment of an apparatus for identifying a target object according to the present application;

FIG. 15 is a schematic structural diagram of another embodiment of an apparatus for identifying a target object of the present application;

fig. 16 is a schematic structural diagram of an embodiment of an electronic device according to the present application.

[ detailed description ] embodiments

For better understanding of the technical solutions of the present application, the following detailed descriptions of the embodiments of the present application are provided with reference to the accompanying drawings.

It should be understood that the embodiments described are only a few embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the examples of this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

In real life, the Hooking suspect generally can leave the city in the first time after the Hooking child succeeds, so that the identity of the Hooking suspect can be identified at the out-of-city sites such as a bus stop, a railway station and/or a ferry. In addition, the age of the child generally sold in abduction is 0-6 years, if the passenger does not have a child of 0-6 years in the immediate relatives of the passenger at present, but the passenger goes out with the child of 0-6 years, the passenger may be a suspect of abduction children; the probability of crime of key personnel with presidents is higher than that of common personnel; if the number of children aged 0-6 in the passenger's immediate relatives is less than the number of children in the passenger's possession (e.g., the passenger carries two or more children), the passenger may be a suspect in turning to sell children; in addition, indicators such as a child loss alarm and the like near the history of the suspect can be considered. Therefore, the system can be used for early warning possible suspects of children in sale by combining various indexes. When the security inspection is carried out at the bus station, the railway station and/or the ferry and other exit stations, for an adult with children of 0-6 years old or so, the certificate number of the adult can be acquired in a manual or machine scanning mode, and the database is inquired according to the certificate number to determine whether the adult is a suspect of turning to sell children.

In China, each newborn is born and then enters the house, a new identity card number is generated, and the information of the population of the resident is perfected. The identity card number and the account number of the standing person are recorded in the standing population information table, and the record can be only increased but cannot be deleted.

The relationship between the standing personnel and the account number and the householder can be inquired through the standing population information table. Meanwhile, the residents are also documented in government offices, and information such as occupation and/or working units is included. Through big data analysis, parallel processing and calculation are carried out on the multidimensional data, and whether the adult is a suspect of turning to sell children or not can be determined in a short time.

Fig. 1 is a flowchart of an embodiment of a target object identification method according to the present application, and as shown in fig. 1, the target object identification method may include:

step 101, obtaining an identity of an object to be recognized.

The identification of the object to be recognized may be a certificate number of a certificate used by the object to be recognized, for example: the identity card number of the object to be identified.

During specific implementation, the identity card of the object to be identified can be scanned to obtain the identity card number of the object to be identified; alternatively, the identification number of the object to be recognized may be manually input.

In addition, the identification of the object to be recognized may be directly obtained by the electronic device for recognizing the target object, or may be obtained by one electronic device and then transmitted to the electronic device for recognizing the target object, which is not limited in this embodiment.

And 102, determining a numerical value corresponding to at least one characteristic attribute of the object to be recognized according to the identity of the object to be recognized.

The at least one characteristic attribute of the object to be identified may include an associated characteristic and/or a personal characteristic of the object to be identified.

Specifically, the above-mentioned associated features may include one or a combination of the following:

whether members with ages within a preset age range exist in the direct relatives of the objects to be identified;

whether a child loss alarm exists near the historical city-exit recording moment of the object to be identified;

whether a person to be attended exists in the direct relatives of the object to be identified;

whether the number of members with the ages within the preset age range in the immediate relatives of the object to be identified is smaller than the number of the carried persons with the ages within the preset age range;

the personal characteristics may include one or a combination of:

whether the object to be identified is a person of interest;

whether the object to be identified frequently travels to different cities recently;

whether the object to be identified has fixed occupation or not;

the education level of the object to be recognized.

Step 103, obtaining a total value corresponding to all the characteristic attributes of the object to be identified according to the value corresponding to the at least one characteristic attribute.

Specifically, the numerical values corresponding to the at least one characteristic attribute may be accumulated to obtain a total numerical value corresponding to all characteristic attributes of the object to be identified; or performing weighted integration on the numerical value corresponding to the at least one characteristic attribute to obtain a total numerical value corresponding to all characteristic attributes of the object to be identified; this embodiment is not limited to this.

And 104, determining the object to be identified as a target object under the condition that the total numerical value meets a preset condition.

The target object is a suspect of the children in turn to be sold under the scene of early warning of the children in turn to be sold.

Specifically, the total value satisfying the preset condition may be: the total number is greater than or equal to a preset threshold, and of course, the total number satisfying the preset condition may be: the total number is smaller than a preset threshold, which is not limited in this embodiment.

The preset threshold may be set according to system performance and/or implementation requirements during specific implementation, and the preset threshold is not limited in this embodiment.

In a specific implementation, the electronic device for identifying the target object may use a big data technology (e.g., spark distributed computation), query the database according to the identity of the object to be identified, and determine a total value corresponding to the feature of the object to be identified.

In this embodiment, the electronic device for performing target object recognition may be a server, for example, a cloud server, or may be an intelligent electronic device such as a smartphone, a tablet computer, a notebook computer, or an intelligent wearable device.

In the identification method of the target object, after the identification of the object to be identified is obtained, the numerical value corresponding to at least one characteristic attribute of the object to be identified is determined according to the identification of the object to be identified; then, according to the numerical value corresponding to the at least one characteristic attribute, obtaining a total numerical value corresponding to all characteristic attributes of the object to be identified; under the condition that the total numerical value meets the preset condition, the object to be recognized is determined to be the target object, wherein the target object is the suspect of the children to be sold under the scene of early warning of the children to be sold, so that whether the object to be recognized is the suspect of the children to be sold can be determined according to the identity of the object to be recognized, the suspect of the children to be sold can be warned, the criminal behavior of the children to be sold can be found in time, and the probability that the children to be sold are found back is improved.

Fig. 2 is a flowchart of another embodiment of the target object identification method of the present application, as shown in fig. 2, in the embodiment shown in fig. 1 of the present application, step 102 may include:

step 201, obtaining a first account number associated with the object to be recognized according to the identity of the object to be recognized, and obtaining the birth date of each member in the first account number.

Specifically, the query may be performed in the standing population information base according to the identity of the object to be recognized, to obtain a first account number associated with the object to be recognized, and to obtain the birth date of the member in the first account number.

In China, after each newborn is born, a user can go to the house to generate a new identity card number, the information of the permanent population is perfected, the identity card number and the family number of the permanent personnel, the birth date and other information of the permanent personnel are recorded in the permanent population information base, and the record can be only increased but cannot be deleted. Therefore, the first account number associated with the object to be identified can be obtained and the birth date of the member in the first account number can be obtained by inquiring the first database according to the identification number of the object to be identified.

Step 202, calculating the age of each member in the first account number according to the birth date, and determining the first number of members with the age within a predetermined age range in the first account number.

The predetermined age range may be set according to system performance and/or implementation requirements during specific implementation, and the predetermined age range is not limited in this embodiment, for example, the predetermined age range may be 0 to 6 years old.

Step 203, determining a numerical value corresponding to the first characteristic attribute of the object to be identified according to the first quantity.

Specifically, if the first number is greater than 0, that is, there are members with ages within a predetermined age range in the first account number, then it may be determined that the value corresponding to the first characteristic attribute of the object to be identified is N1; if the first number is equal to 0, that is, there is no member with an age within the predetermined age range in the first account number, it may be determined that the value corresponding to the first characteristic attribute of the object to be identified is N2. Alternatively, N1, N2 are non-negative numbers. Alternatively, in the case of the early warning of the abduction child, when there is no member (age-appropriate child) within a predetermined age range in the immediate relatives of the object to be recognized, it may be considered that the suspicion of the abduction child of the object to be recognized is relatively large, and therefore, N1< N2 may be set.

Fig. 3 is a flowchart of a further embodiment of the target object identification method of the present application, as shown in fig. 3, in the embodiment shown in fig. 2 of the present application, step 203 may include:

step 301, acquiring the number of people with the age within the predetermined age range carried by the object to be identified.

Step 302, determining a numerical value corresponding to the first characteristic attribute of the object to be identified according to the relationship between the number of people and the first number.

Optionally, if the number of people is less than or equal to the first number, it may be determined that the value corresponding to the first characteristic attribute of the object to be recognized is N3, and if the number of people is greater than the first number, it may be determined that the value corresponding to the first characteristic attribute of the object to be recognized is N4; optionally, N3 and N4 are non-negative numbers, and optionally, in a scene of early warning of abdicating children, when the first number of members (age-appropriate children) within a predetermined age range in the immediate relatives of the object to be recognized is smaller than the number of persons (age-appropriate children) within the predetermined age range carried by the object to be recognized, the suspicion that the object to be recognized abdicating children is considered to be relatively large, so N3< N4 may be set.

Alternatively, N1< N3< N4< N2 may be provided.

Fig. 4 is a flowchart of a further embodiment of the target object identification method of the present application, as shown in fig. 4, in the embodiment shown in fig. 1 of the present application, step 102 may include:

step 401, obtaining a first account number associated with the object to be recognized according to the identity of the object to be recognized, and obtaining the birth date of each member in the first account number.

Step 402, calculating the age of each member in the first account number according to the birth date, and determining a first number of members with the age within a predetermined age range in the first account number.

Step 403, acquiring the identity of other members except the object to be recognized in each member of the first account number.

And step 404, acquiring second account numbers associated with other members according to the identity marks of the other members, and acquiring the birth date of each member in the second account numbers.

Step 405, calculating the age of each member in the second account number according to the birth date, and determining a second number of members in the second account number whose age is within a predetermined age range.

Step 406, determining a numerical value corresponding to the first characteristic attribute of the object to be identified according to the first quantity and the second quantity.

Specifically, if the sum of the first number and the second number is 0, that is, there is no member with an age within a predetermined age range in the first account number and the second account number, it may be determined that the value corresponding to the first characteristic attribute of the object to be identified is N5; if the sum of the first number and the second number is not 0, that is, there is a member with an age within a predetermined age range in the first account number and/or the second account number, it may be determined that the value corresponding to the first characteristic attribute of the object to be identified is N6. Optionally, N5 and N6 are non-negative numbers, and optionally, in a scene of early warning of abdicating children, when members (children of an appropriate age) within a predetermined age range do not exist in the immediate relatives and the collateral relatives of the object to be identified, the suspicion that the children are abdicating to be sold by the person to be detected is relatively large, so that N6 can be set to be less than N5.

In this embodiment, steps 401 to 402 and steps 403 to 405 may be executed sequentially or in parallel, the execution sequence of steps 401 to 402 and steps 403 to 405 is not limited in this embodiment, and steps 401 to 402 are executed before steps 403 to 405 in fig. 4 as an example.

Fig. 5 is a flowchart of a further embodiment of the target object identification method of the present application, as shown in fig. 5, in the embodiment shown in fig. 4 of the present application, step 406 may include:

step 501, acquiring the number of people with the ages within the preset age range carried by an object to be identified;

step 502, determining a numerical value corresponding to the first characteristic attribute of the object to be identified according to the number of people, the first number and the second number.

Specifically, if the number of people is less than or equal to the sum of the first number and the second number, it may be determined that the value corresponding to the first characteristic attribute of the object to be recognized is N7, and if the number of people is greater than the sum of the first number and the second number, it may be determined that the value corresponding to the first characteristic attribute of the object to be recognized is N8; n7 and N8 are non-negative numbers, and optionally, in a scene of early warning of the abdicating children, when the number of people of members (age-appropriate children) within a predetermined age range carried by the object to be recognized is greater than the total number of members (age-appropriate children) within the predetermined age range in the immediate relatives and the collateral relatives of the object to be recognized, the suspicion that the abdicating children of the object to be recognized are relatively large is considered, so that N7 can be set to be less than N8.

Alternatively, N6< N7< N8< N5 may be provided.

Fig. 6 is a flowchart of a further embodiment of the target object identification method of the present application, as shown in fig. 6, in the embodiment shown in fig. 1 of the present application, step 102 may include:

step 601, obtaining a travel record of the object to be recognized according to the identity of the object to be recognized.

Step 602, determining a numerical value corresponding to at least one characteristic attribute of the object to be identified according to the travel record.

The identity of the object to be recognized can also be the identity card number of the object to be recognized; specifically, the trip record of the object to be identified can be obtained by querying in the train trip information database according to the identification number of the object to be identified.

Fig. 7 is a flowchart of a further embodiment of the target object identification method of the present application, as shown in fig. 7, in the embodiment shown in fig. 6 of the present application, step 602 may include:

step 701, obtaining a first travel record of the travel of the object to be identified carrying a specific person according to the travel record.

The specific person may be set according to implementation requirements during implementation, for example, the specific person may be a child aged 0-6 years.

Step 702, obtaining a trip time and a trip location of the object to be identified carrying the specific person to trip from the first trip record.

And 703, judging whether an alarm that a specific person is lost occurs in a preset area within a preset time before or after the trip time.

The preset area may be an area to which the travel location belongs, for example, assuming that the travel location is a beijing west station, and the area to which the travel location belongs may be a beijing city or a beijing hai lake area; specifically, whether an alarm that a specific person is lost occurs in the area to which the travel location belongs within a predetermined time period before or after the travel time can be obtained by querying an alarm receiving information base of the area to which the travel location belongs.

The predetermined time period may be set according to system performance and/or implementation requirements during specific implementation, and the length of the predetermined time period is not limited in this embodiment, for example, the predetermined time period may be 24 hours;

step 704, determining a value corresponding to the second characteristic attribute of the object to be identified according to the alarm judgment result.

Specifically, if an alarm that a specific person is lost occurs in the preset area within a preset time before or after the travel time, determining that a numerical value corresponding to the second characteristic attribute of the object to be identified is N9; if the alarm that the specific person is lost does not occur in the preset area within the preset time before or after the trip time, determining that a numerical value corresponding to the second characteristic attribute of the object to be identified is N10; optionally, N9 and N10 are non-negative numbers, and optionally, in a scene of early warning of abdicating children, if an alarm that a specific person is lost occurs in an area to which a trip location of an object to be recognized belongs within a predetermined time before or after a trip time of the object to be recognized, it can be considered that suspicion that the object to be recognized abdications children is relatively large, so N10< N9 may be set.

Fig. 8 is a flowchart of a further embodiment of the target object identification method of the present application, and as shown in fig. 8, in the embodiment shown in fig. 6 of the present application, step 602 may include:

step 801, obtaining a second travel record of the object to be identified in a preset time range according to the travel records.

Specifically, the trip record of the object to be identified may be obtained by querying in a train trip information database according to the identification number of the object to be identified, and then a second trip record of the object to be identified within the predetermined time range may be screened from the trip records according to the predetermined time range.

The predetermined time range may be set by itself according to system performance and/or implementation requirements during specific implementation, and the length of the predetermined time range is not limited in this embodiment, for example, the predetermined time range may be from 6 month 1 day in 2019 to 6 month 30 in 2019.

And step 802, determining the travel times of the destination out of the ordinary place of the object to be identified from the second travel record.

That is, after the second travel record is obtained, the number of times of going out of town of the object to be identified needs to be screened out from the second travel record.

And 803, determining a numerical value corresponding to the third characteristic attribute of the object to be identified according to the travel times.

Specifically, if the trip times are greater than a predetermined time threshold, determining that a numerical value corresponding to a third characteristic attribute of the object to be identified is N11; if the number of trips is less than or equal to a predetermined threshold of times, it is determined that a numerical value corresponding to the third characteristic attribute of the object to be recognized is N12, optionally, N11 and N12 are non-negative numbers, optionally, in a scene of early warning of abdicating children, if the number of trips of the object to be recognized outside a place where the object to be recognized is normally located is greater than the predetermined threshold of times, it can be considered that the suspicion that the object to be recognized abdicating children is relatively large, and N12< N11 can be set.

The predetermined number of times threshold may be set according to system performance and/or implementation requirements during specific implementation, and the size of the predetermined number of times threshold is not limited in this embodiment, for example, the predetermined number of times threshold may be 5.

Fig. 9 is a flowchart of a further embodiment of the target object identification method of the present application, and as shown in fig. 9, in the embodiment shown in fig. 1 of the present application, step 102 may include:

step 901, obtaining a first account number associated with the object to be recognized according to the identity of the object to be recognized, and obtaining the identity of each member in the first account number.

Step 902, judging whether the person to be attended exists in the first account number according to the identity of each member in the first account number; the person concerned is a person having a preset behavior.

Specifically, the method may query in the database of the person to be attended according to the identity of each member in the first account number, and determine whether the person to be attended exists in the first account number. The person concerned may be a person having a preset behavior.

And storing event records of the concerned person in the concerned person database, inquiring in the concerned person database according to the identity of each member in the first account number, if corresponding records can be inquired, determining that the member is the concerned person, and if corresponding records are not inquired, determining that the member is not the concerned person.

And 903, determining a numerical value corresponding to the fourth characteristic attribute of the object to be identified according to the judgment result of the concerned person.

Specifically, if it is determined that the person to be attended is present in the first account number and the person to be attended is the object to be identified, it may be determined that the numerical value corresponding to the fourth feature attribute of the object to be identified is N9; if it is determined that the attended person exists in the first account number and is not the object to be recognized, determining that a numerical value corresponding to the fourth characteristic attribute of the object to be recognized is N10; and if it is determined that the person to be attended does not exist in the first account number, it may be determined that the value corresponding to the fourth feature attribute of the object to be identified is N11. Optionally, N9, N10, and N11 are non-negative numbers, and optionally, N11< N9, N11< N10, N9, and N10 may be equal or different, which is not limited in this embodiment. In addition, if it is determined that the person of interest is present in the first account number and the person of interest is not the object to be recognized, N10 may be set to different values according to the number of the person of interest, for example, the larger the number of the person of interest, the larger the value of N10 may be.

Fig. 10 is a flowchart of a further embodiment of the method for identifying a target object in the present application, as shown in fig. 10, in the embodiment shown in fig. 9 in the present application, before step 903, the method may further include:

step 1001, acquiring the identity of other members except the object to be recognized in each member of the first account number.

Step 1002, obtaining a second account number associated with the other member according to the identity of the other member, and obtaining the identity of the member in the second account number.

And 1003, judging whether the person to be attended exists in the second account number according to the identity of the member in the second account number.

Similarly, according to the identity of the member in the second account number, the concerned person database is queried to determine whether the concerned person exists in the second account number.

In this way, in step 903, according to the judgment result of the person to be identified, the value corresponding to the fourth feature attribute of the object to be identified may be:

if it is determined that the attended person exists in the first account number, the attended person is the object to be recognized, and the attended person does not exist in the second account number, it may be determined that a value corresponding to the fourth feature attribute of the object to be recognized is N9; if it is determined that the attended person exists in the first account number, the attended person is not the object to be recognized, and the attended person does not exist in the second account number, it may be determined that a value corresponding to the fourth feature attribute of the object to be recognized is N10; if it is determined that no person to be attended exists in the first account number and the second account number, the numerical value corresponding to the second characteristic attribute of the object to be identified can be determined to be N11; if it is determined that the attended person does not exist in the first account number and the attended person exists in the second account number, it may be determined that a numerical value corresponding to the second characteristic attribute of the object to be recognized is N12; optionally, N9, N10, N11, and N12 are non-negative numbers, and optionally, N11< N9, N11< N10, N11< N12, N9, N10, and N12 may be equal or unequal, which is not limited in this embodiment. Also, the values of N10 and N12 may be determined according to the number of persons of interest, for example, the larger the number of persons of interest, the larger the values of N10 and N12 may be.

Fig. 11 is a flowchart of a further embodiment of the target object identification method of the present application, and as shown in fig. 11, in the embodiment shown in fig. 1 of the present application, step 102 may include:

step 1101, acquiring the occupation of the object to be recognized according to the identity of the object to be recognized.

Specifically, the occupation of the object to be recognized can be obtained by querying in the archive database according to the identity of the object to be recognized. The government organization of the country can establish files for residents, wherein the files comprise information such as education degree, occupation and/or working units, the file information of the residents is stored in a file database, and the occupation of the object to be identified can be obtained by inquiring the file database according to the identification number of the object to be identified.

Step 1102, determining a numerical value corresponding to the fifth characteristic attribute of the object to be identified according to the occupation.

Specifically, if the object to be recognized does not have a fixed occupation, determining that the value corresponding to the fifth characteristic attribute of the object to be recognized is N17; if the object to be recognized has a fixed occupation, determining that a numerical value corresponding to a fifth characteristic attribute of the object to be recognized is N18; optionally, N17 and N18 are non-negative numbers, and optionally, N18< N17.

Fig. 12 is a flowchart of a further embodiment of the target object identification method of the present application, and as shown in fig. 12, in the embodiment shown in fig. 1 of the present application, step 102 may include:

step 1201, obtaining the education degree of the object to be recognized according to the identity of the object to be recognized.

Specifically, the education level of the object to be recognized can be obtained by querying the archive database according to the identity of the object to be recognized.

The national government organization establishes files for residents, wherein the files comprise information of education degree, occupation and/or working units, the file information of the residents is stored in a file database, and the files are inquired in the file database according to the identification number of the object to be identified, so that the education degree of the object to be identified can be obtained.

And step 1202, determining a numerical value corresponding to the sixth characteristic attribute of the object to be recognized according to the education degree.

Specifically, if the education level of the object to be recognized is lower than the predetermined education level threshold, determining that the value corresponding to the sixth characteristic attribute of the object to be recognized is N19; if the education level of the object to be recognized is higher than the preset education level threshold value, determining that the value corresponding to the sixth characteristic attribute of the object to be recognized is N20; optionally, N19 and N20 are non-negative numbers, and optionally, N20< N19.

Specifically, the predetermined education level threshold may be set according to the system performance and/or the implementation requirement, and the present embodiment is not limited thereto.

The method for identifying the target object provided by the embodiment of the application can add or delete the characteristics of the object to be identified according to the actual situation, and modify the numerical values corresponding to the characteristic attributes and the preset threshold value. Referring to fig. 13, fig. 13 is a schematic diagram illustrating an implementation of determining a value corresponding to the feature attribute in the identification method of the target object of the present application, in the embodiment of the present application, when querying is performed in a database according to an identity of an object to be identified, multitask parallel computation may be performed through a spark and other big data computation technologies, so that a value corresponding to the feature of the object to be identified may be computed in a short time, and when a total number value corresponding to the feature attribute of the object to be identified is greater than or equal to a preset threshold, an alarm may be generated. And then security personnel can carry out key investigation to the suspect according to the on-the-spot condition, including whether the child of the same bank is in the state of lethargy, whether it is boy, whether the suspect has a panic reaction, etc.. Fig. 13 only shows four databases, namely, a standing population information database, a train trip information database, a concerned person database, and a profile database, but the embodiment of the present application is not limited thereto, and may also perform queries in more databases according to implementation requirements and/or system performance, and details are not described here again.

The method for identifying the target object has strong universality, and the numerical value corresponding to the characteristic attribute of the object to be identified can be determined according to the identity of the object to be identified, so that the method is independent of special equipment; the target object identification method provided by the embodiment of the application has flexible high expandability, can continuously increase the characteristic attributes according to the implementation requirements and/or the system performance, adjusts the numerical values corresponding to the characteristic attributes of the object to be identified, and can identify the target object more accurately. In addition, the target object identification method provided by the embodiment of the application identifies the criminal suspect who carries the missing child to go out of the city for the first time at the website, so that the timeliness is greatly improved, and the probability of finding the missing child is greatly improved.

Fig. 14 is a schematic structural diagram of an embodiment of an apparatus for identifying a target object in the present application, where the apparatus for identifying a target object in the present embodiment may be used as an electronic device, or a part of an electronic device to implement the method for identifying a target object provided in the present application. The electronic device may be a server, for example: the cloud server, or the electronic device may be an intelligent terminal device such as a mobile phone, a tablet Computer, a notebook Computer, a Personal Computer (Personal Computer; hereinafter, referred to as PC), or a wearable intelligent device.

As shown in fig. 14, the target object recognition device may include: an acquisition module 1401, a determination module 1402 and an identification module 1403;

an obtaining module 1401, configured to obtain an identity of an object to be recognized;

a determining module 1402, configured to determine, according to the identity of the object to be recognized, a numerical value corresponding to at least one characteristic attribute of the object to be recognized;

an obtaining module 1401, further configured to obtain, according to the numerical value corresponding to the at least one characteristic attribute, a total numerical value corresponding to all characteristic attributes of the object to be identified;

and an identifying module 1403, configured to determine that the object to be identified is the target object when the total number value acquired by the acquiring module 1401 meets a preset condition.

In the identification device of the target object, after the obtaining module 1401 obtains the identity of the object to be identified, the determining module 1402 determines the value corresponding to at least one characteristic attribute of the object to be identified according to the identity of the object to be identified; then, the obtaining module 1401 obtains a total value corresponding to all the characteristic attributes of the object to be identified according to the value corresponding to at least one characteristic attribute; under the condition that the total numerical value meets the preset condition, the identification module 1403 determines that the object to be identified is the target object, wherein the target object is the suspect of the children to be sold under the scene of early warning of the children to be sold, so that whether the object to be identified is the suspect of the children to be sold can be determined according to the identity of the object to be identified, the suspect of the children to be sold can be warned, the criminal behavior of the children to be sold can be found in time, and the probability that the children to be sold are found back is improved.

The apparatus for identifying a target object provided in the embodiment shown in fig. 14 may be used to implement the technical solution of the method embodiment shown in fig. 1 of the present application, and the implementation principle and the technical effect may further refer to the related description in the method embodiment.

Fig. 15 is a schematic structural diagram of another embodiment of a target object recognition apparatus according to the present application, and unlike the target object recognition apparatus shown in fig. 14, in the target object recognition apparatus shown in fig. 15, a determination module 1402 may include: an acquisition sub-module 1404, a calculation sub-module 1405 and a value determination sub-module 1406;

an obtaining submodule 1404, configured to obtain, according to the identity of the object to be recognized, a first account number associated with the object to be recognized, and obtain a birth date of each member in the first account number;

a calculating submodule 1405, configured to calculate ages of the members in the first account number according to the birth date obtained by the obtaining submodule 1404, and determine a first number of members in the first account number whose ages are within a predetermined age range;

the numerical value determining submodule 1406 is configured to determine, according to the first quantity determined by the calculating submodule 1405, a numerical value corresponding to the first characteristic attribute of the object to be identified.

In one possible implementation, the value determination sub-module 1406 may include: a number acquisition unit 14061 and a value determination unit 14062;

a number acquiring unit 14061, configured to acquire the number of people with an age within a predetermined age range carried by the object to be identified;

a numerical value determining unit 14062, configured to determine a numerical value corresponding to the first characteristic attribute of the object to be identified according to a relationship between the number of people and the first number.

In one possible implementation, the determining module 1402 may include: an acquisition sub-module 1404, a calculation sub-module 1405 and a value determination sub-module 1406;

a calculating submodule 1405, configured to calculate ages of the members in the first account number according to the birth date, and determine a first number of members in the first account number whose ages are within a predetermined age range;

the obtaining submodule 1404 is further configured to obtain the identity of each member of the first account number, except for the object to be recognized; and according to the identification of the other members, obtaining a second account number associated with the other members, and obtaining the birth date of each member in the second account number;

the calculating submodule 1405 is further configured to calculate ages of the members in the second account number according to the birth date, and determine a second number of the members in the second account number whose ages are within a predetermined age range;

the numerical value determining submodule 1406 is configured to determine a numerical value corresponding to the first characteristic attribute of the object to be identified according to the first quantity and the second quantity.

a number acquiring unit 14061, configured to acquire the number of people with an age within the predetermined age range carried by the object to be identified;

a numerical value determining unit 14062, configured to determine a numerical value corresponding to the first characteristic attribute of the object to be identified according to the number of people, the first number, and the second number.

In one possible implementation manner, the determining module 1402 may include: an obtain sub-module 1404 and a value determination sub-module 1406;

an obtaining submodule 1404, configured to obtain a travel record of the object to be recognized according to the identity of the object to be recognized;

the numerical value determining submodule 1406 is configured to determine a numerical value corresponding to at least one characteristic attribute of the object to be identified according to the travel record obtained by the obtaining submodule 1404.

In one possible implementation, the value determining sub-module 1406 may include: a record obtaining unit 14063, a judging unit 14064, and a numerical value determining unit 14062;

a record obtaining unit 14063, configured to obtain, according to the travel record, a first travel record of a trip of the object to be identified with a specific person; acquiring a trip time and a trip place of the object to be identified carrying the specific person from the first trip record;

a determining unit 14064, configured to determine whether an alarm that a specific person is lost occurs in a preset area within a predetermined time period before or after the trip time;

a value determining unit 14062, configured to determine, according to the determination result of the alarm, a value corresponding to the second feature attribute of the object to be identified.

In one possible implementation, the value determining sub-module 1406 may include: a record obtaining unit 14063 and a numerical value determining unit 14062;

a record obtaining unit 14063, configured to obtain, according to the trip record, a second trip record of the object to be identified within a predetermined time range;

a numerical value determining unit 14062 for determining the travel times of the destination outside the ordinary accommodation of the object to be identified from the second travel record; and determining a numerical value corresponding to the third characteristic attribute of the object to be identified according to the travel times.

The target object recognition apparatus provided in the embodiment shown in fig. 15 may be used to implement the technical solutions of the method embodiments shown in fig. 2 to fig. 12 of the present application, and the implementation principles and technical effects thereof may further refer to the related descriptions in the method embodiments.

It should be understood that the division of the respective modules of the identification apparatus of the target object shown in fig. 14 to 15 is merely a logical division, and the actual implementation may be wholly or partially integrated into one physical entity or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling by the processing element in software, and part of the modules can be realized in the form of hardware. For example, the module may be a separate processing element, or may be integrated into a chip of the electronic device. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.

For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), one or more microprocessors (DSPs), one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, these modules may be integrated together and implemented in the form of a System-On-a-Chip (SOC).

Fig. 16 is a schematic structural diagram of an embodiment of an electronic device according to the present application, where the electronic device may include: at least one processor; and at least one memory communicatively coupled to the processor, wherein: the memory stores program instructions executable by the processor, and the processor calls the program instructions to execute the method for identifying the target object according to the embodiment shown in fig. 1 to 12.

The electronic device may be a server, for example: the cloud server, or the electronic device may be an intelligent terminal device such as a mobile phone, a tablet computer, a notebook computer, a PC, or a wearable intelligent device.

FIG. 16 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present application. The electronic device shown in fig. 16 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.

As shown in fig. 16, the electronic device is embodied in the form of a general purpose computing device. Components of the electronic device may include, but are not limited to: one or more processors 410, a memory 430, and a communication bus 440 that connects the various system components (including the memory 430 and the processing unit 410).

Communication bus 440 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. These architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus, to name a few.

Electronic devices typically include a variety of computer system readable media. Such media may be any available media that is accessible by the electronic device and includes both volatile and nonvolatile media, removable and non-removable media.

Memory 430 may include computer system readable media in the form of volatile Memory, such as Random Access Memory (RAM) and/or cache Memory. The electronic device may further include other removable/non-removable, volatile/nonvolatile computer system storage media. Although not shown in FIG. 16, a disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a Compact disk Read Only Memory (CD-ROM), a Digital versatile disk Read Only Memory (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to the communication bus 440 by one or more data media interfaces. Memory 430 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the application.

A program/utility having a set (at least one) of program modules, including but not limited to an operating system, one or more application programs, other program modules, and program data, may be stored in memory 430, each of which examples or some combination may include an implementation of a network environment. The program modules generally perform the functions and/or methodologies of the embodiments described herein.

The electronic device may also communicate with one or more external devices (e.g., keyboard, pointing device, display, etc.), one or more devices that enable a user to interact with the electronic device, and/or any devices (e.g., network card, modem, etc.) that enable the electronic device to communicate with one or more other computing devices. Such communication may occur via communication interface 420. Furthermore, the electronic device may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public Network such as the Internet) via a Network adapter (not shown in FIG. 16) that may communicate with other modules of the electronic device via the communication bus 440. It should be appreciated that although not shown in FIG. 16, other hardware and/or software modules may be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, Redundant processing units, external disk drive Arrays, disk array (RAID) systems, tape Drives, and data backup storage systems, among others.

The processor 410 executes various functional applications and data processing, for example, implementing a target object recognition method provided by an embodiment of the present application, by executing programs stored in the memory 430.

The embodiment of the present application further provides a non-transitory computer-readable storage medium, where the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions enable the computer to execute the method for identifying a target object provided in the embodiment of the present application.

The non-transitory computer readable storage medium described above may take any combination of one or more computer readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read Only Memory (ROM), an Erasable Programmable Read Only Memory (EPROM), a flash Memory, an optical fiber, a portable compact disc Read Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of Network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.

Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.

The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.

It should be noted that the terminal according to the embodiments of the present application may include, but is not limited to, a Personal Computer (Personal Computer; hereinafter, referred to as PC), a Personal Digital Assistant (Personal Digital Assistant; hereinafter, referred to as PDA), a wireless handheld device, a Tablet Computer (Tablet Computer), a mobile phone, an MP3 player, an MP4 player, and the like.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a Processor (Processor) to execute some steps of the methods according to the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A method for identifying a target object, comprising:

acquiring an identity of an object to be identified;

determining a numerical value corresponding to at least one characteristic attribute of the object to be recognized according to the identity of the object to be recognized;

obtaining a total numerical value corresponding to all the characteristic attributes of the object to be identified according to the numerical value corresponding to the at least one characteristic attribute;

and under the condition that the total number value meets a preset condition, determining the object to be identified as a target object.

2. The method according to claim 1, wherein the determining a numerical value corresponding to at least one characteristic attribute of the object to be recognized according to the identity of the object to be recognized comprises:

according to the identity of the object to be recognized, obtaining a first account number associated with the object to be recognized, and obtaining the birth date of each member in the first account number;

calculating the ages of the members in the first account number according to the birth date, and determining a first number of members in the first account number, the members of which the ages are within a preset age range;

and determining a numerical value corresponding to the first characteristic attribute of the object to be identified according to the first quantity.

3. The method according to claim 2, wherein the determining, according to the first quantity, a numerical value corresponding to a first characteristic attribute of the object to be recognized comprises:

acquiring the number of people with the ages within the preset age range carried by the object to be identified;

and determining a numerical value corresponding to the first characteristic attribute of the object to be identified according to the relation between the number of the people and the first number.

4. The method according to claim 1, wherein the determining a numerical value corresponding to at least one characteristic attribute of the object to be recognized according to the identity of the object to be recognized comprises:

acquiring the identity of other members except the object to be identified in each member of the first account number;

according to the identity marks of the other members, obtaining second account numbers associated with the other members, and obtaining the birth date of each member in the second account numbers;

calculating the ages of the members in the second account number according to the birth date, and determining a second number of the members with the ages within a preset age range in the second account number;

and determining a numerical value corresponding to the first characteristic attribute of the object to be identified according to the first quantity and the second quantity.

5. The method according to claim 4, wherein the determining a numerical value corresponding to a first characteristic attribute of the object to be recognized according to the first number and the second number comprises:

and determining a numerical value corresponding to the first characteristic attribute of the object to be identified according to the number of the persons, the first number and the second number.

6. The method according to claim 1, wherein the determining a numerical value corresponding to at least one characteristic attribute of the object to be recognized according to the identity of the object to be recognized comprises:

obtaining a travel record of the object to be recognized according to the identity of the object to be recognized;

and determining a numerical value corresponding to at least one characteristic attribute of the object to be identified according to the travel record.

7. The method according to claim 6, wherein the determining, according to the travel record, a numerical value corresponding to at least one characteristic attribute of the object to be identified includes:

according to the travel record, obtaining a first travel record of the object to be identified carrying a specific person to travel;

acquiring a travel time and a travel place of the object to be identified carrying the specific person for traveling from the first travel record;

judging whether an alarm that a specific person is lost occurs in a preset area within a preset time before or after the trip time;

and determining a numerical value corresponding to the second characteristic attribute of the object to be identified according to the alarm judgment result.

8. The method according to claim 6, wherein the determining, according to the travel record, a numerical value corresponding to at least one characteristic attribute of the object to be identified includes:

obtaining a second travel record of the object to be identified in a preset time range according to the travel record;

determining the travel times of the destination out of the ordinary accommodation of the object to be identified from the second travel record;

and determining a numerical value corresponding to the third characteristic attribute of the object to be identified according to the travel times.

9. An apparatus for identifying a target object, comprising:

the acquisition module is used for acquiring the identity of the object to be identified;

the determining module is used for determining a numerical value corresponding to at least one characteristic attribute of the object to be recognized according to the identity of the object to be recognized;

the obtaining module is further configured to obtain a total numerical value corresponding to all feature attributes of the object to be identified according to the numerical value corresponding to the at least one feature attribute;

and the identification module is used for determining the object to be identified as the target object under the condition that the total number value acquired by the acquisition module meets a preset condition.

10. The apparatus of claim 9, wherein the determining module comprises:

the obtaining submodule is used for obtaining a first account number associated with the object to be recognized according to the identity of the object to be recognized and obtaining the birth date of each member in the first account number;

the calculation submodule is used for calculating the age of each member in the first account number according to the birth date obtained by the obtaining submodule and determining the first number of members with the ages within a preset age range in the first account number;

and the numerical value determining submodule is used for determining a numerical value corresponding to the first characteristic attribute of the object to be identified according to the first quantity determined by the calculating submodule.

11. The apparatus of claim 10, wherein the value determination submodule comprises:

the number obtaining unit is used for obtaining the number of people with the ages within the preset age range carried by the object to be identified;

and the numerical value determining unit is used for determining a numerical value corresponding to the first characteristic attribute of the object to be identified according to the relation between the number of the people and the first number.

12. The apparatus of claim 9, wherein the determining module comprises:

the calculation submodule is used for calculating the age of each member in the first account number according to the birth date and determining the first number of members with the ages within a preset age range in the first account number;

the obtaining sub-module is further configured to obtain the identity of each member of the first account number, except the to-be-identified object, of other members; acquiring a second account number associated with the other members according to the identity marks of the other members, and acquiring the birth date of each member in the second account number;

the calculation submodule is further used for calculating the age of each member in the second account number according to the birth date and determining a second number of members with the ages within a preset age range in the second account number;

and the numerical value determining submodule is used for determining a numerical value corresponding to the first characteristic attribute of the object to be identified according to the first quantity and the second quantity.

13. The apparatus of claim 12, wherein the value determination submodule comprises:

and the numerical value determining unit is used for determining a numerical value corresponding to the first characteristic attribute of the object to be identified according to the number of the persons, the first number and the second number.

14. The apparatus of claim 9, wherein the determining module comprises:

the obtaining submodule is used for obtaining a travel record of the object to be recognized according to the identity of the object to be recognized;

and the numerical value determining submodule is used for determining a numerical value corresponding to at least one characteristic attribute of the object to be identified according to the travel record obtained by the obtaining submodule.

15. The apparatus of claim 14, wherein the value determination submodule comprises:

the record obtaining unit is used for obtaining a first travel record of travel of the object to be identified carrying a specific person according to the travel record; acquiring a travel time and a travel place of the object to be identified carrying the specific person from the first travel record;

the judging unit is used for judging whether an alarm that a specific person is lost occurs in a preset area within a preset time before or after the trip time;

and the numerical value determining unit is used for determining a numerical value corresponding to the second characteristic attribute of the object to be identified according to the alarm judgment result.

16. The apparatus of claim 14, wherein the value determination submodule comprises:

the record obtaining unit is used for obtaining a second travel record of the object to be identified within a preset time range according to the travel record;

a numerical value determining unit for determining the travel times of the destination outside the ordinary accommodation of the object to be identified from the second travel record; and determining a numerical value corresponding to the third characteristic attribute of the object to be identified according to the travel times.

17. An electronic device, comprising:

at least one processor; and

at least one memory communicatively coupled to the processor, wherein:

the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1 to 8.

18. A non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the method of any one of claims 1 to 8.