CN111275841A - Face recognition sign-in device and method - Google Patents
Face recognition sign-in device and method Download PDFInfo
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- CN111275841A CN111275841A CN202010025749.7A CN202010025749A CN111275841A CN 111275841 A CN111275841 A CN 111275841A CN 202010025749 A CN202010025749 A CN 202010025749A CN 111275841 A CN111275841 A CN 111275841A
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Abstract
The invention discloses a face recognition sign-in device and a method, which correspond to a group of areas which are close in geographic position and are preset with relevance, and the device comprises: the face searching and comparing module is used for pre-storing face image information of registered users, comparing the face image information of the registered users with the face image information of the registered users when the face image information of the personnel is received in any one of the group of associated areas in real time, and triggering the account information module if the face image information of the registered users is consistent with the face image information of the registered users; and the account information module is preset with a sign-in identifier corresponding to each region of each registered user in the group of associated regions, and the account information module is used for distributing the identifier for the account of the registered user according to the sign-in identifier corresponding to the region where the registered user enters. By adopting the invention, the identification of the user is increased under the condition of no sense, thereby achieving the aim of sharing the passenger flow of the adjacent areas under the line.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a face recognition sign-in device and a face recognition sign-in method.
Background
In the prior art, an offline area is signed with a distribution identifier, such as a stamp used in a market for a gift. Thus, in the prior art, a user needs to manually check in, and each area needs to manually dispatch the identifier.
Meanwhile, in other prior art, the offline area sign-in dispatch mark takes a single area as a starting point, the network effect of a shopping mall (a group of areas with similar geographic positions) is not fully exerted, and the passenger flow cannot be fully and effectively shared among the areas.
Disclosure of Invention
In view of the above, the present invention provides a face recognition check-in device and method, so that the user's identification is increased under the condition of no sense, thereby achieving the purpose of sharing the passenger flow in the adjacent areas under the line.
The technical scheme provided by the invention is as follows:
the invention discloses a face recognition sign-in device, which corresponds to a group of areas with close geographical positions and preset association, and comprises the following components:
the face searching and comparing module is used for pre-storing face image information of registered users, comparing the face image information of the registered users with the face image information of the registered users when the face image information of the personnel is received in any one of the group of associated areas in real time, and triggering the account information module if the face image information of the registered users is consistent with the face image information of the registered users;
and the account information module is preset with a sign-in identifier corresponding to each region of each registered user in the group of associated regions, and the account information module is used for distributing the identifier for the account of the registered user according to the sign-in identifier corresponding to the region where the registered user enters.
The invention also discloses a face recognition check-in method, which corresponds to a group of areas with similar geographic positions and preset association, and the method comprises the following steps:
when the face image information of the person is received in real time in any one area of the group of associated areas, the face image information is compared with the face image information of the registered user which is stored in advance, if the face image information is consistent with the face image information of the registered user,
and according to the preset check-in identification corresponding to each region of each registered user in the group of associated regions, determining the check-in identification corresponding to the region where the registered user enters, and performing identification distribution for the account of the registered user.
In summary, the invention provides a face recognition check-in device and a face recognition check-in method, which correspond to a group of areas which are close in geographic position and are preset with association, when a user comes to any one of the associated areas, the user can increase the identification under the condition of no sense through the face recognition check-in identification, and then the user can move to other associated areas with power, so that the purpose of sharing passenger flow of the associated areas under the line is achieved.
Drawings
FIG. 1 is a schematic structural diagram of a face recognition check-in device disclosed in the present invention;
FIG. 2 is a schematic structural diagram of a face recognition check-in device according to a second preferred embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a face recognition check-in device according to a third preferred embodiment of the present invention;
fig. 4 is a flowchart illustrating a face recognition check-in method according to an embodiment of the present invention.
Detailed Description
The core idea of the invention is that a group of areas with similar geographic positions are associated in advance, when a user comes to any one of the associated areas, the user automatically signs the distribution identification through face recognition, so that the identification of the user is increased under the condition of no sense, and then the user is motivated to go to other associated areas. Furthermore, the distributed identifications are related to the attributes of the users, and the users can see whether each area is willing to distribute the identifications according to the attributes of the users, so that the users can select the areas with the identifications to sign in a reverse direction, the effective sign-in times of the users in the areas are increased, the sign-in total identifications of the users are increased, and the purpose of sharing offline passenger flows is achieved. The close geographical positions mean that the users can easily arrive within an acceptable time range by walking or convenient transportation, and the time is usually within 30 minutes. For example in the same shopping mall. The geographic positions are close, so that passenger flow among all areas can be effectively shared, and additional consumption of the passenger flow is promoted. The area mentioned above refers to a business operation unit or a logic unit of a physical store, and can perform offline communication or service for users. For example different shops in a shopping centre or different kinds of shelves in a supermarket.
Example one
Fig. 1 is a schematic structural diagram of a face recognition check-in device disclosed by the present invention, which corresponds to a group of areas with similar geographic locations and preset associations, and the device comprises:
the face searching and comparing module 101 is used for storing face image information of registered users in advance, comparing the face image information of the registered users with the face image information of the registered users when the face image information of the personnel is received in any one of the group of associated areas in real time, and triggering the account information module if the face image information of the registered users is consistent with the face image information of the registered users;
the account information module 102 is preset with a sign-in identifier corresponding to each region of each registered user in the group of associated regions, and performs identifier distribution for the account of the registered user according to the sign-in identifier corresponding to the region where the registered user enters.
The account of the registered user comprises a plurality of sub-accounts, and each sub-account corresponds to a group of areas which are close in geographic position and are preset to be associated. The group of areas which are close in geographic position and are preset to be associated commonly issue the identification for the sub-account. A user may have more than one sub-account corresponding to different groups of geographically closely and pre-configured associated areas. The network effect of mutual accumulation of the same sub-account identification is easier for a user to reach more identifications than that of the user who signs in the same number of areas independently, so that the user participation degree is improved.
The advantageous effects of the present embodiment will be demonstrated in detail below.
Scheme ①, Single area sign-in serving tag, Using non-face recognition approach (Prior Art)
Scheme ②, Individual region sign-in serving tag, Using face recognition approach (Prior Art)
Scheme ③, a group of geographically close regions jointly sign-in to dispatch tags using non-face recognition (prior art)
Scheme ④ (i.e. ② and ③ combined), a group of regions with similar geographic positions jointly sign in a distribution identifier, and a face recognition mode (the technology of the invention) is used
Evaluation indexes are as follows: the number of sign-ins of the user (the more the number of sign-ins is, the more the user reaches more areas, thus better realizing the purpose of sharing the passenger flow of the associated areas under the line)
It is proved that the accumulated improvement of the sign-in times of the user is smaller than the improvement of the sign-in times of the user after the two technologies are simultaneously used by using the two technical schemes respectively through the face recognition technology and the combined sign-in technology of using a group of areas with similar geographic positions. Namely to prove that:
(scheme ① → scheme ②) + (scheme ① → scheme ③) < (scheme ① → scheme ④)
Is equivalent to
(②-①)+(③-①)<(④-①)
In order to maintain comparability, in the above 4 schemes, the number of regions is m, the average number of potential users in a single region is k, the number of times of non-face recognition signing to the distribution identifier (hereinafter, collectively referred to as a common signing to distribution identifier) is a% of the number of users k, the number of times of face recognition signing to the distribution identifier is b% of the number of users k, and b > a is because the face recognition signing has simplicity and usability compared with the common signing. The users in the areas are independent.
User sign-in times of the scenario ① ═ m × k × a%
The user sign-in times of the scenario ② ═ m × k × b%
Because the user in a group of geographical location close regions signs in, the user in each home region will have power to sign in to other home regions to obtain more identifications. Therefore, it is assumed that each user who normally checks in finally checks in t areas on average (t > -1).
User sign-in times of scenario ③ ═ (m × k × a%) × t
Because of the simplicity and the usability of face recognition, users in each region will have power to check in to other family regions to acquire more identifications, and will check in from the final t family region and add t 'family (t' > 0).
User sign-in times of scenario ④ ═ (m × k × b%) (t + t')
Now, the above inequality is introduced, i.e. it is to be proved that the following formula is less than 0
(②-①)+(③-①)-(④-①)
＝②+③-④-①
＝m*k*b％+(m*k*a％)*t-m*k*a％-(m*k*b％)*(t+t’)
＝m*k*(b％+a％*t-a％-b％*t-b％*t’)
＝m*k*((a％-b％)*(t-1)-b％*t’)
Since b > a, t-1> ═ 0, b >0, t' >0, the above formula is strictly less than 0, i.e.:
(②-①)+(③-①)<(④-①)
the improvement of the combined scheme ④ on the check-in times is better than the simple sum of the improvement of the check-in times of the two schemes ② and ③ before combination, an unexpected technical effect is achieved, and the effect is more remarkable along with the increase of t' and the increase of k, m and t, wherein the effect is 1+1> 2.
Example verification, assuming that an average potential user k per area is 1000, when the common sign-out is given, the ratio a% of the sign-out and distribution identification number of k is 20%, the ratio b of the face recognition sign-out and distribution identification number of k is 40%, the total number m of areas is 10, in a group of areas with similar geographic positions, when each user is willing to carry out the common sign-out and distribution identification, the average sign-out area number t is 3, when each user carries out the face recognition sign-out and distribution identification, the cost required for sign-in is reduced, the average sign-in area number is increased by t' 2, the previous two schemes ② and ③ are respectively applied, the sum of the increased sign-in times is 2000 (scheme ① → scheme ②) +4000 times (scheme ① → scheme ③) is 6000 times, after combination (scheme ① → scheme ④) is 18000 times, and the effect is increased by 2 times, which is 300% of the simple sum.
Therefore, the embodiment of the invention adopts the face recognition check-in device corresponding to a group of areas which are close in geographic position and are preset to be associated, when a user comes to any one of the associated areas, the face recognition check-in identification increases the identification of the user under the condition of no sense, and then the user is motivated to go to other associated areas, so that more check-in times are generated, and the purpose of sharing passenger flow of the offline associated areas is finally achieved.
Example two
Fig. 2 is a schematic structural diagram of a face recognition check-in device according to a second preferred embodiment of the present invention, which corresponds to a group of areas with similar geographic locations and preset associations, and includes: a face search comparison module 201 and an account information module 202.
The face searching and comparing module 201 stores face image information of registered users in advance, compares the face image information of the registered users with the face image information of the registered users when the face image information of people is received in real time in any one of the group of associated areas, and triggers the account information module if the face image information of the registered users is consistent with the face image information of the registered users;
the account information module 202 is preset with a sign-in identifier corresponding to the attribute information of each registered user in each area of the group of associated areas, and performs identifier distribution for the account of the registered user according to the attribute information of the registered user.
In the face recognition check-in device, the check-in identification corresponding to the attribute information of each registered user in each region in the group of associated regions is preset, so that more check-in identifications are issued for potential users expected by the face recognition check-in device, accurate users are attracted, and the consumption conversion rate of the users is improved. Attributes of a user include, but are not limited to, gender, age information. The sign-in identifier may be a combination of user attribute information or one of attribute information.
The following provides a detailed explanation of the beneficial effect of the embodiment after adding the user attribute information. In order to clearly prove the beneficial effect of the attribute information of the user, the scheme of face recognition is omitted.
Scheme ①, single area sign-in and serve identification, use equal sign-in and serve identification mode (Prior Art)
Scheme ②, single area sign-in distribution label, according to the matching degree of user attribute and self area, determine the limit of distribution label (prior art)
Scheme ③, a group of geographically close regions jointly sign-in to serve an identifier, using an equal sign-in to serve an identifier (prior art)
Scheme ④ (i.e. ② and ③ combination), a group of areas with similar geographic positions jointly sign the distribution identification, and the quota of the distribution identification is determined according to the matching degree of the user attribute and the area (the technology of the invention)
Evaluation indexes are as follows: the user obtains the quota of the sign-in and distribution identification (the higher the quota of the identification obtained by the user is, namely the user has greater incentive to sign in more areas, thereby better realizing the purpose of sharing the passenger flow of the associated areas under the line)
It should be proved that the increase of the amount accumulated by the user to obtain the sign-in dispatch mark by using the two technical solutions ② and ③ is smaller than the increase of the amount accumulated by the user to obtain the sign-in dispatch mark by using the two technical solutions ④ at the same time
(scheme ① → scheme ②) + (scheme ① → scheme ③) < (scheme ① → scheme ④)
Is equivalent to
(②-①)+(③-①)<(④-①)
To maintain comparability, assume that in the above 4 schemes, the number of areas is m, the average number of users in a single area is k.
Scenario ① shows how the user gets a credit of the id of the sign-up
In the scheme ②, the average identifier obtained by each user is b for users meeting the attribute requirements, and since areas can obtain more accurate users according to the user attributes, the conversion rate is improved, so that areas can certainly pay more identifier lines for more accurate users, that is, b > a.
Scenario ② user gets a credit value m k b p to sign-up to dispatch the ID
Because the user in a group of geographical location close regions signs in, the user in each home region will have power to sign in to other home regions to obtain more identifications. Therefore, it is assumed that each user who normally checks in will finally check in the t-family area (t > -1).
Scenario ③ user gets a credit of sign-up to dispatch identifier (m x k a) t
Because the user signs in a group of areas with nearby geographic positions, the user can see whether each area is willing to serve the identification according to the attribute of the user. Therefore, the user can select to check in preferentially in the identified area in the reverse direction. If there is no sign-in, the user will not go to the area for the sign-in. The probability of each user obtaining a check-in identification increases to p 1. Because the probability of obtaining the check-in tag is increased, the users in each home area will have power to check-in to other home areas to obtain more tags, and each user will check-in from the final t home area and increase t 'home (t' > 0).
Scenario ④ user gets a credit of sign-up to dispatch mark (m k b t + t')
Now, the above inequality is introduced, i.e. it is to be proved that the following formula is less than 0
(②-①)+(③-①)-(④-①)
＝②+③-④-①
＝m*k*b*p+(m*k*a)*t-m*k*a-(m*k*b)*(t+t’)
<m*k*b+(m*k*a)*t-m*k*a-(m*k*b)*(t+t’)
＝m*k*((b-a)+a*t-b*t-b*t’)
＝m*k*((b-a)*(1-t)-b*t’)
Since b > a, t-1> ═ 0, b >0, t' >0, the above formula is strictly less than 0, i.e.:
(②-①)+(③-①)<(④-①)
the effect of the combined scheme ④ on the increase of the credit line of the sign-in and dispatch mark obtained by the user is better than the simple sum of the two schemes ② and ③ before the combination on the increase of the credit line of the sign-in and dispatch mark obtained by the user, and the effect is more obvious as b increases and k, m, t and t' increase.
Example verification, assuming that an average user k in each area is 1000, when the user attribute is not distinguished, an average sign-in and dispatch identifier amount of each user is 0.5 yuan, when the user attribute is distinguished and the sign-in identifier is dispatched in an area, an average sign-in and dispatch identifier amount b of each user obtaining the sign-in identifier is 1 yuan, a probability p of each user obtaining the sign-in identifier in the area is 0.6, a total number m of the areas is 10, in a group of areas with close geographic positions, an average area number t of each user signing in is 3, when the user obtains the sign-in identifier due to increase, an average sign-in area number is increased by t' ═ 1, the two previous schemes ② and ③ are respectively applied, the sum of the sign-in and dispatch identifier amounts obtained by the promoted users is 2000 yuan (scheme ① → scheme ②) +10000 yuan (scheme ① → scheme ③) × 12000, after combination (scheme ① → scheme ④), the effect is 2.333.40000 times of the original scheme.
In summary, in this embodiment, the sign-in identifier of each user in each home area is different according to the matching degree between the user attribute and the area. The user can see the identification limit that each area is willing to be distributed to the user, and the user can select the identification limit by himself. The region is selected by the user, so that a more accurate user is obtained.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a face recognition check-in device according to a third preferred embodiment of the present invention, which corresponds to a group of areas with similar geographic locations and preset associations, and includes: a face search comparison module 301, an account information module 302, an information notification module 303 and a processing module 300. The device also includes: the camera module 304 is arranged in each of the group of areas, and is configured to acquire, in real time, face image information when the user enters any one of the group of associated areas, and send the face image information to the face search comparison module 301.
The camera module 304 may be a web camera, a face snapshot machine, or the like, and has a camera function, and all video information is directly uploaded to the face search comparison module 301 for comparison.
The processing module 300 sends a privacy protocol which needs to be agreed by a user when receiving a registration request of the user, and collects face image information of the user and sends the face image information to the face search comparison server for storage when receiving the agreement privacy protocol of the user; and collecting the attribute information of the user and sending the attribute information to an account information server for storage.
The face searching and comparing module 301 pre-stores face image information of registered users, compares the face image information of the registered users with the face image information of the registered users when receiving the face image information of the persons in any one of the group of associated areas in real time, and triggers the processing module 300 if the face image information of the registered users is consistent with the face image information of the registered users;
the processing module 300 determines whether the length of time the person is in the area exceeds a first predetermined threshold and whether the frequency of check-ins of the person within the area for a predetermined time is below a second predetermined threshold, and triggers the account information module 302 when the first and second predetermined threshold criteria are reached.
The account information module 302 is preset with a sign-in identifier corresponding to the attribute information of each registered user in each area in the group of associated areas, and performs identifier distribution for the account of the registered user according to the attribute information of the registered user.
The information notifying module 303 notifies the registered user of the change of the identifier when the identifier in the account of the registered user changes. And the server is further configured to push, to the registered user, a list of identification specifications corresponding to the registered user for each of the set of associated regions. Each user can see the identification description list corresponding to each area, so that the user can select the area which is preferentially checked in more conveniently, more identifications are obtained, and the user participation is improved.
The information notification module 303 of the face recognition check-in device of the invention can interact with the registered users, so each registered user has a client to receive the notification information of the information notification module 303, and the client can be replaced by a display screen of the region where the registered user is located to receive the notification information.
Example four
Based on the same inventive concept, the invention also discloses a face recognition check-in method, the flow diagram is shown in fig. 4, corresponding to a group of areas with similar geographic positions and preset association, the method comprises:
and 42, according to the preset check-in identification corresponding to each region of each registered user in the group of associated regions, determining the check-in identification corresponding to the region where the registered user enters, and performing identification distribution for the account of the registered user.
and according to the preset sign-in identifier corresponding to each region in the group of associated regions of the attribute information of each registered user, determining the sign-in identifier corresponding to the region where the registered user enters, and performing identifier distribution for the account of the registered user.
Preferably, the method further comprises:
when the identification in the account of the registered user changes, notifying the registered user of the change of the identification; and pushing an identification description list corresponding to the registered user in each area in the group of associated areas to the registered user.
Preferably, before the comparing of the face image information, the method further comprises: when a registration request of a user is received, a privacy protocol which needs the user to agree is sent, and when the agreement privacy protocol of the user is received, face image information of the user is collected and sent to a face search comparison server for storage; and collecting the attribute information of the user and sending the attribute information to an account information server for storage.
Preferably, the method further comprises: and if the face image information of the registered user is consistent with the face image information of the registered user, determining whether the time length of the person in the area exceeds a first preset threshold value and whether the check-in frequency of the person in the area within a preset time is lower than a second preset threshold value, and performing identification distribution when the first preset threshold value and the second preset threshold value are reached.
Thus, the face recognition check-in method is completed.
The embodiment of the invention has the following beneficial technical effects:
firstly, through face recognition check-in a group of areas with similar geographic positions, the identification of a user is increased under the condition of no sense, and then the user is motivated to go to other associated areas, so that the purpose of sharing passenger flow in the associated areas under the line is achieved. Moreover, the check-in is realized in a face recognition mode, the check-in cost of passenger flow is effectively reduced, and the user experience is improved.
And secondly, checking in through face recognition in a group of areas with similar geographic positions, and performing identification distribution on the account of the registered user according to the attribute information of the registered user. Each region issues more identifications for potential users expected by the user, so that accurate users are attracted, and the consumption conversion rate of the user is improved.
And thirdly, the registered user entering the area can see the identification description list corresponding to the registered user in each area in the group of associated areas. The user can conveniently select the area with the preferred sign-in, so that more identifiers are obtained, and the user participation is improved. The user has power to go to other related areas, and the purpose of sharing the passenger flow in the related areas under the line is also achieved.
And fourthly, when the face recognition of the user in the area is successful, the duration, the sign-in frequency and the like of the area are limited, and the cost of distributing the identification in the area can be effectively reduced.
And fifthly, one registered user can have a plurality of sub-accounts, and each sub-account corresponds to a group of areas which are close in geographic position and are preset to be associated. The same sub-account identifications are mutually accumulated, and compared with the condition that the sub-account identifications are singly checked in the same number of areas, the user can more easily reach more identifications, so that the user participation degree is improved.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that are within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (13)
1. A face recognition check-in apparatus, corresponding to a group of areas that are geographically close and have a preset association, the apparatus comprising:
the face searching and comparing module is used for pre-storing face image information of registered users, comparing the face image information of the registered users with the face image information of the registered users when the face image information of the personnel is received in any one of the group of associated areas in real time, and triggering the account information module if the face image information of the registered users is consistent with the face image information of the registered users;
and the account information module is preset with a sign-in identifier corresponding to each region of each registered user in the group of associated regions, and the account information module is used for distributing the identifier for the account of the registered user according to the sign-in identifier corresponding to the region where the registered user enters.
2. The apparatus of claim 1,
the account information module is preset with a sign-in identifier corresponding to the attribute information of each registered user in each area in the group of associated areas, and the identifier is distributed to the account of the registered user according to the attribute information of the registered user.
3. The apparatus of claim 1, further comprising:
and the information notification module is used for notifying the registered user of the change of the identification when the identification in the account of the registered user changes.
4. The apparatus of claim 3, wherein the information notification module is further configured to push, to the registered user, a list of descriptions of identifications corresponding to each of the group of associated areas to the registered user.
5. The apparatus of claim 1, further comprising: the processing module is used for sending a privacy protocol required to be agreed by the user when receiving a registration request of the user, and collecting face image information of the user and sending the face image information to the face search comparison server for storage when receiving the privacy agreement of the user; and collecting the attribute information of the user and sending the attribute information to an account information server for storage.
6. The apparatus of claim 5, wherein the method further comprises: and if the face image information of the registered user is consistent with the face image information, triggering the processing module, determining whether the time length of the person in the area exceeds a first preset threshold value and whether the frequency of the person checking in the area within a preset time is lower than a second preset threshold value, and triggering the account information module when the first preset threshold value and the second preset threshold value are met.
7. The apparatus of claim 1, wherein the account of the registered user comprises a plurality of sub-accounts, and each sub-account corresponds to a group of geographically close and pre-configured associated regions.
8. The apparatus of claim 1, further comprising: and the camera module is arranged in each area of the group of areas and is used for acquiring the face image information of a user entering any one area of the group of associated areas in real time.
9. A face recognition check-in method is characterized in that the method corresponds to a group of areas which are close in geographic position and are in preset association, and the method comprises the following steps:
when the face image information of the person is received in real time in any one area of the group of associated areas, the face image information is compared with the face image information of the registered user which is stored in advance, if the face image information is consistent with the face image information of the registered user,
and according to the preset check-in identification corresponding to each region of each registered user in the group of associated regions, determining the check-in identification corresponding to the region where the registered user enters, and performing identification distribution for the account of the registered user.
10. The method according to claim 9, wherein the determining, according to a preset check-in identifier corresponding to each region of each registered user in the group of associated regions, a check-in identifier corresponding to a region into which the registered user enters, and performing identifier distribution for an account of the registered user specifically includes:
and according to the preset sign-in identifier corresponding to each region in the group of associated regions of the attribute information of each registered user, determining the sign-in identifier corresponding to the region where the registered user enters, and performing identifier distribution for the account of the registered user.
11. The method of claim 9, further comprising:
when the identification in the account of the registered user changes, notifying the registered user of the change of the identification; and pushing an identification description list corresponding to the registered user in each area in the group of associated areas to the registered user.
12. The method of claim 9, wherein prior to comparing the facial image information, the method further comprises: when a registration request of a user is received, a privacy protocol which needs the user to agree is sent, and when the agreement privacy protocol of the user is received, face image information of the user is collected and sent to a face search comparison server for storage; and collecting the attribute information of the user and sending the attribute information to an account information server for storage.
13. The method of claim 12, further comprising: and if the face image information of the registered user is consistent with the face image information of the registered user, determining whether the time length of the person in the area exceeds a first preset threshold value and whether the check-in frequency of the person in the area within a preset time is lower than a second preset threshold value, and performing identification distribution when the first preset threshold value and the second preset threshold value are reached.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010025749.7A CN111275841A (en) | 2020-01-10 | 2020-01-10 | Face recognition sign-in device and method |
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