CN109376678A - Anti-addiction method, apparatus, equipment and storage medium based on recognition of face - Google Patents
Anti-addiction method, apparatus, equipment and storage medium based on recognition of face Download PDFInfo
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- CN109376678A CN109376678A CN201811300918.2A CN201811300918A CN109376678A CN 109376678 A CN109376678 A CN 109376678A CN 201811300918 A CN201811300918 A CN 201811300918A CN 109376678 A CN109376678 A CN 109376678A
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- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000003860 storage Methods 0.000 title claims abstract description 18
- 238000004364 calculation method Methods 0.000 claims abstract description 16
- 238000004590 computer program Methods 0.000 claims description 15
- 230000005611 electricity Effects 0.000 claims description 4
- 230000000694 effects Effects 0.000 abstract description 8
- 210000003128 head Anatomy 0.000 description 75
- 238000012544 monitoring process Methods 0.000 description 11
- 238000009826 distribution Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/70—Game security or game management aspects
- A63F13/75—Enforcing rules, e.g. detecting foul play or generating lists of cheating players
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/70—Game security or game management aspects
- A63F13/79—Game security or game management aspects involving player-related data, e.g. identities, accounts, preferences or play histories
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/178—Human faces, e.g. facial parts, sketches or expressions estimating age from face image; using age information for improving recognition
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Abstract
The invention discloses a kind of Anti-addiction method, apparatus, equipment and storage medium based on recognition of face, which comprises acquire first user's head portrait of the user of electronic equipment；First user's head portrait is identified by human face recognition model to obtain the age probability of user；It is the usable duration that user distributes electronic equipment according to the age of user according to the age of the age probability calculation user of user, and records the first duration that user uses electronic equipment；When the first duration is greater than or equal to and duration can be used, set electronic equipment within the first disabling duration in disabled status.The present invention can be arranged the usable duration of Anti-addiction automatically, and carry out scientific and reasonable adjust automatically subsequent, and without being manually adjusted, it is soft-hearted and reduce Anti-addiction effect to also avoid guardian；The present invention can be more scientific method realize to the Anti-addiction of minor, and it is simple and effective.
Description
Technical field
The present invention relates to field of face identification, and in particular to a kind of Anti-addiction method, apparatus, equipment based on recognition of face
And storage medium.
Background technique
Currently, the phenomenon that popularizing due to electronic equipment, minor indulges electronic equipment, is more and more, therefore, currently
There are some the case where indulging electronic equipment for above-mentioned minor, using technological means to the electronic equipment of minor
The indulging system that online hours when online are limited.Indulging system in the prior art is disadvantageous in that: first
First, the restriction that indulging system in the prior art is taken is all relatively simple, is generally only to surf the Internet for minor
The length of time prevent minor from indulging, it is more inflexible inflexible；Secondly, indulging system in the prior art is logical
It often needs parent that the control time is set in person, or the control time being arranged before this is adjusted, prolong if parent is soft-hearted to child
For a long time, Anti-addiction can not actually be played the role of；Again, most of indulging systems are by the way that in APP, (computer is answered
With program) nested inside, it is inadequate for the limitation of Anti-addiction, for example, the opening time of going game APP is limited, but
Or other game APP can be opened on the terminal.
Summary of the invention
The embodiment of the present invention provides a kind of Anti-addiction method, apparatus, equipment and storage medium based on recognition of face, can be with
The usable duration of automatic setting Anti-addiction, and scientific and reasonable adjust automatically is carried out subsequent, without being manually adjusted,
It is soft-hearted and reduce Anti-addiction effect to avoid guardian；The present invention can be more scientific method realize to the anti-settling of minor
Fan, and it is simple and effective.
A kind of Anti-addiction method based on recognition of face, comprising:
Acquire first user's head portrait of the user of electronic equipment；
The face characteristic extracted in the first user head portrait is inputted from preset human face recognition model, passes through the people
Face identification model identifies the first user head portrait, and obtain exported in the human face recognition model with described first
The age probability of the corresponding user of user's head portrait；
According to the age of user described in the age probability calculation of the corresponding user of the first user head portrait, root
The usable duration of the electronic equipment is distributed for the user according to the age of the user, and record the user to make
With the first duration of the electronic equipment；
Judge whether first duration is greater than or equal to the usable duration；
When first duration is greater than or equal to the usable duration, the electronic equipment is set as prohibiting first
With within duration be in disabled status.
A kind of Anti-addiction device based on recognition of face, comprising:
Acquisition module, first user's head portrait of the user for acquiring electronic equipment；
Identification module, it is special for inputting the face extracted in the first user head portrait from preset human face recognition model
Sign, identifies the first user head portrait by the human face recognition model, and obtain defeated in the human face recognition model
The age probability of the user corresponding with the first user head portrait out；
Logging modle, for making according to the age probability calculation of the corresponding user of the first user head portrait
The age of user is that the user distributes the usable duration of the electronic equipment, and remembers according to the age of the user
Record the first duration that the user uses the electronic equipment；
Judgment module, for judging whether first duration is greater than or equal to the usable duration；
Setup module is used for when first duration is greater than or equal to the usable duration, by the electronic equipment
It is set as within the first disabling duration in disabled status.
A kind of computer equipment, including memory, processor and storage are in the memory and can be in the processing
The computer program run on device, the processor are realized above-mentioned based on the anti-settling of recognition of face when executing the computer program
The step of fan's method.
A kind of computer readable storage medium, the computer-readable recording medium storage have computer program, the meter
Calculation machine program realizes the step of above-mentioned Anti-addiction method based on recognition of face when being executed by processor.
Anti-addiction method, apparatus, equipment and storage medium provided by the invention based on recognition of face, passes through recognition of face
Model identifies first user's head portrait of user, to know the age of user, and then is automatically according to all ages and classes range
The user distributes the use duration of electronic equipment, user using the electronic equipment reach the usable duration it
Afterwards, electronic equipment is disabled.The present invention can be arranged the usable duration of Anti-addiction automatically, and it is subsequent carry out it is scientific and reasonable from
It is soft-hearted and reduce Anti-addiction effect to also avoid guardian without being manually adjusted for dynamic adjustment；The present invention can be more scientific
Method realize to the Anti-addiction of minor, and it is simple and effective.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by institute in the description to the embodiment of the present invention
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the application environment schematic diagram of the Anti-addiction method in one embodiment of the invention based on recognition of face；
Fig. 2 is the flow chart of the Anti-addiction method in one embodiment of the invention based on recognition of face；
Fig. 3 is the flow chart of the step S10 of the Anti-addiction method in one embodiment of the invention based on recognition of face；
Fig. 4 is the flow chart of the step S30 of the Anti-addiction method in one embodiment of the invention based on recognition of face；
Fig. 5 is the flow chart of the step S30 of the Anti-addiction method in another embodiment of the present invention based on recognition of face；
Fig. 6 is the flow chart of the step S30 of the Anti-addiction method in further embodiment of this invention based on recognition of face；
Fig. 7 is the functional block diagram of the Anti-addiction device in one embodiment of the invention based on recognition of face；
Fig. 8 is the schematic diagram of computer equipment in one embodiment of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Anti-addiction method provided by the invention based on recognition of face, can be applicable in the application environment such as Fig. 1, wherein
Client (computer equipment) is communicated by network with server.Wherein, client (computer equipment) includes but unlimited
In for various personal computers, laptop, smart phone, tablet computer, camera and portable wearable device.Service
Device can be realized with the server cluster of the either multiple server compositions of independent server.
In one embodiment, it as shown in Fig. 2, providing a kind of Anti-addiction method based on recognition of face, applies in this way
It is illustrated for server in Fig. 1, comprising the following steps:
S10, acquire electronic equipment user first user's head portrait.
In the present embodiment, monitoring server electronic equipment (monitoring electronic equipment in each component use state or
Operating parameter is from situation of change) whether used, monitoring electronic equipment by use, by transfer the electronic equipment from
First user's head portrait of picture pick-up device (or picture pick-up device with electronic equipment communication connection) the acquisition user of band, and will
The first user head portrait is stored into database, in order to subsequently through reaching after being identified to the first user head portrait
To the purpose for carrying out Anti-addiction monitoring to the user.
In one embodiment, as shown in figure 3, after the step S10 further include:
S101, timing, in real time or every the time interval generated at random, acquire the currently used person's of the electronic equipment
Second user head portrait.
That is, server, which can monitor currently used person, is in a period of carrying out Anti-addiction monitoring for the user
The no user for before this, at this time, it may be necessary to timing, in real time or every the time interval generated at random (namely between each time
Every being that server generates at random, to avoid when being timed monitoring, user is known the time interval rule of monitoring and is kept away
The time point of monitoring of Open Timer), it is just silent again to have adjusted picture pick-up device, acquire the second of the currently used person of the electronic equipment
User's head portrait, with according to the second user head portrait judge currently used person whether or originally with the first user head portrait pair
The user answered.
Whether S102, the detection second user head portrait match with the first user head portrait.
At this point, currently used person does not replace if the second user head portrait is matched with the first user head portrait, this
When, without being adjusted the up time, continue to continue to use the up time set in step S30.
In the present embodiment, it can be extracted from the first user head portrait and second user head portrait by face recognition technology
Face characteristic, the face characteristic are including but not limited to the distance between face contour, face, shape, iris, sclera
And/or ear line etc..And according to the similar of the face characteristic extracted respectively from the first user head portrait and second user head portrait
Degree is to judge whether it matches；For example, the phase of the face characteristic extracted in the first user head portrait and second user head portrait
When being more than preset threshold like degree, determine that the second user head portrait is matched with the first user head portrait；On the contrary, described second uses
The similarity of the face characteristic extracted in account picture and the first user head portrait and when being less than preset threshold determines described the
Two user's head portraits and the first user head portrait simultaneously mismatch.
S103, in the second user head portrait and the first user head portrait and when mismatching, pass through the recognition of face
Model identifies the second user head portrait, to obtain the year of the corresponding currently used person of the second user head portrait
Age, and be the usable duration that the currently used person distributes the electronic equipment according to the age of the currently used person.Institute
State that input in human face recognition model be the face characteristic extracted from the second user head portrait, in the human face recognition model
Output is the age probability of the corresponding currently used person of the second user head portrait.
At this point, if currently used person has replaced, prompt directly according to the second user head portrait of currently used person again
Adjust the up time of Anti-addiction monitoring setting；Preferably, if detecting in step s101 two or more
User is continuing to continue to use using the electronic equipment at this point, closing this function when finding user's more than one people
The up time set in step S30.
S20, the face characteristic extracted in the first user head portrait is inputted from preset human face recognition model, pass through institute
Human face recognition model is stated to identify the first user head portrait, and obtain exported in the human face recognition model with it is described
The age probability of the corresponding user of first user's head portrait.
That is, in the present embodiment, being known by human face recognition model trained in advance to the first user head portrait
Age not to obtain the user, it will be appreciated that ground, the human face recognition model can export multiple age probability, and server
It can be user's corresponding with the first user head portrait by the maximum age probabilistic packet marking of probability value in the age probability
Age.
The process of the training human face recognition model are as follows: obtain multiple (such as 10,000) the ranges of age (wherein, including
60% or more the range of age was in 18 years old and under-18s the range of age) first user's head portrait sample, and according to from described first
The face characteristic (such as face spacing, face contour, shape of face size etc.) extracted in user's head portrait sample and the face sample
Corresponding age, training obtain the human face recognition model.The human face recognition model can be according to the first user head portrait
The user is identified in the age probability at each age, at this point, confirming the age of the user according to the age probability.
The year of S30, the user according to the age probability calculation of the corresponding user of the first user head portrait
Age is the usable duration that the user distributes the electronic equipment according to the age of the user, and make described in record
User uses the first duration of the electronic equipment.
In the present embodiment, the age probability exported according to human face recognition model is needed to confirm the year of the user
Age.Understandably, the human face recognition model can export multiple age probability, and server can be by probability in the age probability
It is worth the age that maximum age probabilistic packet marking is user corresponding with the first user head portrait.But in order to more accurately determine
The age of the user, preferably, can also obtain guardian's typing (or using the electronic equipment history use
In data) it may be using the personal information (age information comprising each personnel) of the electronic equipment, at this point, the personnel of acquisition letter
With the age of the user of above-mentioned confirmation nearly or completely matched age information in breath, and the use is determined with this
Whether person is personnel corresponding with the personal information, for example, age exact matching or close, can confirm the user be with
The corresponding personnel of the personal information, and after verification, the age information in the personal information is confirmed as the user's
Age.Further, the face information of the personnel can be also stored in personal information in advance, at this time obtain personal information in
The age of the user of above-mentioned confirmation, will be corresponding with the age information nearly or completely after matched age information
Face information is matched with the first user head portrait, to confirm whether the user is corresponding with the face information
Personnel, and after verification, the age information in the personal information is confirmed as to the age of the user.That is, this implementation
Example can further confirm that the age of the user according to the personal information or/and history of guardian's typing using data.
In the present embodiment, it has been stored in advance in database 18 years old and the minor of under-18s (also may include it
His age bracket but need to carry out Anti-addiction monitoring crowd age bracket) all ages and classes range, and with above-mentioned all ages and classes
The associated usable duration of range, for example, the range of age is 2-8 years old, a length of 1 is small when associated usable with the range of age
When.(the maximum probability value corresponding age is 2 i.e. in age probability when judging user's age for 2 years old in above-mentioned steps S20
Year), server can automatically sort out the age of the user between 2-8 year old the range of age, at this point, to the user
Distribute the electronic equipment it is usable when it is 2 hours a length of.Preferably, special limit can also be set for all ages and classes range
System, as long as determining that the age of user belongs within the range of age, and starting is described specifically limited, for example, setting age model
Enclose the specifically limited of the user for 2-8 years old are as follows: within the usable duration, locking relates to the application journey of payment
Sequence, server default the background process for killing the application program during initialization, and user can be used described at this time
Can not be opened within duration it is above-mentioned be related to payment application program, can so prevent child accidentally by or it is some it is biggish not
Adult carries out game payment using payment software, causes economic loss etc..
Meanwhile in the present embodiment, server directly identifies the age of the user according to the first user head portrait,
And duration can be used according to age distribution accordingly, it opens and is set using without guarding the artificial electronic equipment setting
Duration, avoiding guardian, duration can be used (to be so unable to reach better Anti-addiction effect for extension manually in the case where soft-hearted
Fruit).Understandably, in another embodiment, guardian has and is opened by modes such as password, recognition of face or speech recognitions
Or (unlatching Anti-addiction care situations refer to enter step acquires currently used people to the permission of closing Anti-addiction care situations in S10
First user's head portrait, close Anti-addiction care situations and refer to the usable duration cancelled and set in the step S30, make at this time
User can infinitely use the electronic equipment)；But in the present embodiment, the guardian, which does not have, adjusts the electronic equipment
Usable duration permission.
In one embodiment, as shown in figure 4, after the step S30, namely it is corresponding according to the first user head portrait
The age of user described in the age probability calculation of the user, the age according to the user are the user
Distribute the usable duration of the electronic equipment, and record the user using the electronic equipment the first duration after,
Further include:
S301 records the user and uses the second duration of each application program on the electronic equipment；
S302, when judging whether second duration of each application program is greater than or equal to the limitation of the application program
It is long；
S303 will when second duration of the application program is greater than or equal to the limitation duration of the application program
The application program is set as in the second disabling duration in disabled status.
That is, in the above-described embodiments, can also detect respectively in electronic equipment the use state of each application program and
Duration, and be respectively that each application setting limits duration according to the information of each application program, make in user described
When with reaching the limitation duration using the application program in duration, i.e., disabled status can be set by the application program,
And the disabled status can remain unchanged within the second disabling duration.When wherein the limitation duration is with the described second disabling
Length can be set according to demand.
In one embodiment, the application program be classified as in advance study class apply and non-study class application；At this point it is possible to
The usable duration is adjusted according to second duration.
In the one side of the present embodiment, as shown in figure 5, including: after the step S301
S304, obtains the sum of second duration of each application program for belonging to the study class application, and by its
Labeled as study duration；
S305, whether the ratio for detecting the study duration and the usable duration is more than default study proportion threshold value；
S306 extends the usable duration of the user when being more than default study proportion threshold value.
That is, in the above-described embodiments, can also detect respectively in electronic equipment the use state of each application program and
Duration, simultaneously as the application program to be classified as to study class is applied and therefore non-study class application can count pair in advance
It should be in the study duration using the sum of the time (the second duration of study class application) of each study class application；At this point, if when learning
It is long to reach default study duration, the usable duration of the user can be extended.In the present embodiment, it can be used with described
The ratio of duration is more than that (the study proportion threshold value can be set default study proportion threshold value according to demand, for example be set as institute
State 50% or more of usable duration) when, that is, reach default study duration, but in the present invention, the default study duration
It is not limited to described in the present embodiment, it also can be by user's sets itself according to demand.
In the another aspect of the present embodiment, as shown in fig. 6, after the step S301 further include:
S307 obtains the sum of second duration of each application program for belonging to the non-study class application, and will
It is labeled as non-study duration.
S308, whether the ratio for detecting the non-study duration and the usable duration is more than to preset non-study ratio threshold
Value.
S309 shortens the usable duration when being more than to preset non-study proportion threshold value.
That is, in the above-described embodiments, can also detect respectively in electronic equipment the use state of each application program and
Therefore duration can also count simultaneously as the application program to be classified as to study class in advance and is applied with non-study class application
The non-study class duration using the sum of the time (the second duration of non-study class application) corresponding to each non-study class application.This
When, if not study duration, which reaches, presets non-study duration, the usable duration of the user can be shortened.The present embodiment
In, more than non-study proportion threshold value is preset, (the non-study proportion threshold value can be according to need with the ratio of the usable duration
Setting is asked, for example is set as 50% or more of the usable duration) when, that is, reach and preset non-study duration, but in this hair
It is described to preset non-study duration and be not limited to described in the present embodiment in bright, it also can be by user's sets itself according to demand.
In one embodiment, after the step S30 namely described described make according to the first user head portrait is corresponding
The age of user described in the age probability calculation of user is that the user distributes the electricity according to the age of the user
The usable duration of sub- equipment, and record the user using the electronic equipment the first duration after, comprising:
The electric quantity change value of the electronic equipment is recorded, and institute is adjusted according to the electric quantity change value and first duration
State usable duration.The electric quantity change value refer to the electricity that is recorded when the user begins to use the electronic equipment with
The difference of current electric quantity.
It is in one embodiment, described that the usable duration is adjusted according to the electric quantity change value and first duration,
Include:
The adjustment critical value of duration can be used according to the electric quantity change value and first duration calculation；
When the adjustment critical value is greater than or equal to default adjusted value, shorten the usable duration.
In the present embodiment, duration can be used according to the electric quantity change value and first duration calculation
Critical value is adjusted, and when the adjustment critical value is greater than or equal to default adjusted value, the usable duration is adjusted
(shortening the usable duration).
Preferably, the adjustment critical value of the usable duration can be calculated according to following formula:
Z=aX+bY
Wherein:
Z is the adjustment critical value of the usable duration；
A is the weight of the electric quantity change value；
X is the ratio between the electric quantity change value and preset electricity adjustment threshold value；
B is the weight of first duration；
Ratio of the Y between first duration and the usable duration.
Understandably, it is greater than default adjusted value in the adjustment critical value for calculating the usable duration by above-mentioned formula
Later, shorten the usable duration.
Understandably, in one embodiment, meeting is periodically or whether electronic equipment described in real-time monitoring is being used always, and
Only the period that the electronic equipment is used is included among first duration and second duration.And in the electronics
After the time that device interrupt uses is more than the preset break time, it is back to and resurveys the electronics in the step S10 and set
First user's head portrait of standby user.
In one embodiment, one or more prompt time points are set for the usable duration.The prompt time point
Time point corresponding in 50% (70%, 80%, 90%, 100% etc.) usable duration can be set.At this point, described
When first duration arrives at the prompt time point, user is prompted (or to the associated guardian of the user
It is prompted).
S40, judge whether first duration is greater than or equal to the usable duration.
S50, when first duration is greater than or equal to the usable duration, set the electronic equipment to the
Disabled status is within one disabling duration.
That is, in the present embodiment, when first duration is greater than or equal to the usable duration, illustrating currently
It needs to the user using the measure for forcing the disabling electronic equipment, at this point, the electronic equipment is arranged in
Disabled status, and the disabled status of the electronic equipment will remain unchanged within the first disabling duration.
In one embodiment, if detecting, the user currently browses webpage in browser, at this point, the method is also wrapped
It includes:
The page info for obtaining the website of user's browsing, judges whether the website belongs to according to the page info
In violation website or game website；That is, in the webpage that minor browses web sites (or it is super in the webpage for browsing the website
Cross after certain time length), adjust big data to judge whether this website is violation website (such as the bad net multiple by user's report
Stand, containing the website for relating to porns, gambling and drugs content) or game website.If the website is not belonging to violation website or game website,
Continue to record the use duration of the user.
If the website belongs to violation website or game website, the guardian of the user is notified or by the website
Blacklist is added or/and interrupts the connection with the website.
Understandably, if the website belongs to violation website or game website, middle disconnection can also be taken to the website
The measure connect.Number of site can be added in the blacklist by guardian manually, detect user to the black name
When domain name in list sends access request, server can intercept the access request automatically to achieve the purpose that access,
To prevent minor from indulging game, bad webpage is browsed, a kind of good atmosphere is built.
Anti-addiction method provided by the invention based on recognition of face identifies the first of user by human face recognition model
User's head portrait to know the age of user, and then is that user's distribution electronics is set according to all ages and classes range automatically
Standby use duration disables electronic equipment after user reaches the usable duration using the electronic equipment.This hair
The bright usable duration that Anti-addiction can be set automatically, and scientific and reasonable adjust automatically is carried out subsequent, it is manual without carrying out
It is soft-hearted and reduce Anti-addiction effect to also avoid guardian for adjustment；The present invention can be more scientific method realize to teenage
The Anti-addiction of people, and it is simple and effective.
In one embodiment, as shown in fig. 7, providing a kind of Anti-addiction device based on recognition of face, should be known based on face
Anti-addiction method in other Anti-addiction device and above-described embodiment based on recognition of face corresponds.It is described to be based on recognition of face
Anti-addiction device include:
Acquisition module 110, first user's head portrait of the user for acquiring electronic equipment；
Identification module 120, for being identified by preset human face recognition model to the first user head portrait, to obtain
Take the age of the corresponding user of the first user head portrait；Input in the human face recognition model is from described first
The face characteristic extracted in user's head portrait, exporting in the human face recognition model is institute corresponding with the first user head portrait
State the age probability of user；
Logging modle 130, for according to the age of the user be the user distribute the electronic equipment can
Using duration, and record the first duration that the user uses the electronic equipment；
Judgment module 140, for judging whether first duration is greater than or equal to the usable duration；
Setup module 150, for when first duration is greater than or equal to the usable duration, the electronics to be set
It is standby to be set as within the first disabling duration in disabled status.
Anti-addiction device provided by the invention based on recognition of face identifies the first of user by human face recognition model
User's head portrait to know the age of user, and then is that user's distribution electronics is set according to all ages and classes range automatically
Standby use duration disables electronic equipment after user reaches the usable duration using the electronic equipment.This hair
The bright usable duration that Anti-addiction can be set automatically, and scientific and reasonable adjust automatically is carried out subsequent, it is manual without carrying out
It is soft-hearted and reduce Anti-addiction effect to also avoid guardian for adjustment；The present invention can be more scientific method realize to teenage
The Anti-addiction of people, and it is simple and effective.It is above right that specific restriction about the Anti-addiction device based on recognition of face may refer to
In the restriction of the Anti-addiction method based on recognition of face, details are not described herein.In the above-mentioned Anti-addiction device based on recognition of face
Modules can be realized fully or partially through software, hardware and combinations thereof.Above-mentioned each module can embed in the form of hardware
In processor in computer equipment, the memory that can also be stored in a software form in computer equipment
In, the corresponding operation of the above modules is executed in order to which processor calls.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 8.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
To realize a kind of Anti-addiction method based on recognition of face when machine program is executed by processor.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor perform the steps of when executing computer program
Acquire first user's head portrait of the user of electronic equipment；
The face characteristic extracted in the first user head portrait is inputted from preset human face recognition model, passes through the people
Face identification model identifies the first user head portrait, and obtain exported in the human face recognition model with described first
The age probability of the corresponding user of user's head portrait；
According to the age of user described in the age probability calculation of the corresponding user of the first user head portrait, root
The usable duration of the electronic equipment is distributed for the user according to the age of the user, and record the user to make
With the first duration of the electronic equipment；
Judge whether first duration is greater than or equal to the usable duration；
When first duration is greater than or equal to the usable duration, the electronic equipment is set as prohibiting first
With within duration be in disabled status.
Computer equipment provided by the invention identifies first user's head portrait of user by human face recognition model, thus
Know the age of user, and then be automatically the use duration that the user distributes electronic equipment according to all ages and classes range,
After user reaches the usable duration using the electronic equipment, electronic equipment is disabled.The present invention can be set automatically
The usable duration of Anti-addiction is set, and is also avoided in the scientific and reasonable adjust automatically of subsequent progress without being manually adjusted
Guardian is soft-hearted and reduces Anti-addiction effect；The present invention can be more scientific method realize to the Anti-addiction of minor, and
It is simple and effective.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
Acquire first user's head portrait of the user of electronic equipment；
The face characteristic extracted in the first user head portrait is inputted from preset human face recognition model, passes through the people
Face identification model identifies the first user head portrait, and obtain exported in the human face recognition model with described first
The age probability of the corresponding user of user's head portrait；
According to the age of user described in the age probability calculation of the corresponding user of the first user head portrait, root
The usable duration of the electronic equipment is distributed for the user according to the age of the user, and record the user to make
With the first duration of the electronic equipment；
Judge whether first duration is greater than or equal to the usable duration；
When first duration is greater than or equal to the usable duration, the electronic equipment is set as prohibiting first
With within duration be in disabled status.
Computer readable storage medium provided by the invention, identify user by human face recognition model first use account
Picture to know the age of user, and then is that the user distributes making for electronic equipment according to all ages and classes range automatically
Electronic equipment is disabled after user reaches the usable duration using the electronic equipment with duration.The present invention can be with
The usable duration of automatic setting Anti-addiction, and scientific and reasonable adjust automatically is carried out subsequent, without being manually adjusted,
It is soft-hearted and reduce Anti-addiction effect to avoid guardian；The present invention can be more scientific method realize to the anti-settling of minor
Fan, and it is simple and effective.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided by the present invention,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link DRAM (SLDRAM), the direct RAM of memory bus (RDRAM), direct memory bus
Dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit or module division progress for example, in practical application, can according to need and by above-mentioned function distribution by difference
Functional unit or module complete, i.e., the internal structure of described device is divided into different functional unit or module, with complete
All or part of function described above.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of Anti-addiction method based on recognition of face characterized by comprising
Acquire first user's head portrait of the user of electronic equipment；
The face characteristic extracted in the first user head portrait is inputted from preset human face recognition model, is known by the face
Other model identifies the first user head portrait, and obtains exporting in the human face recognition model with first user
The age probability of the corresponding user of head portrait；
According to the age of user described in the age probability calculation of the corresponding user of the first user head portrait, according to institute
The age for stating user is that the user distributes the usable duration of the electronic equipment, and records the user and use institute
State the first duration of electronic equipment；
Judge whether first duration is greater than or equal to the usable duration；
When first duration is greater than or equal to the usable duration, set the electronic equipment in the first disabling
Disabled status is within length.
2. the Anti-addiction method based on recognition of face as described in claim 1, which is characterized in that the acquisition electronic equipment
After first user's head portrait of user further include:
Periodically, in real time or every the time interval generated at random, the second user of the currently used person of the electronic equipment is acquired
Head portrait；
Detect whether the second user head portrait matches with the first user head portrait；
In the second user head portrait and the first user head portrait and when mismatching, by the human face recognition model to described
Second user head portrait identified, to obtain the age of the corresponding currently used person of the second user head portrait, and according to
The age of the currently used person is the usable duration that the currently used person distributes the electronic equipment.
3. the method for the Anti-addiction based on recognition of face as described in claim 1, which is characterized in that described to be used according to described first
At the age of account user as described in the age probability calculation of the corresponding user, be institute according to the age of the user
State user and distribute the usable duration of the electronic equipment, and record the user use the electronic equipment first when
After length, further includes:
It records the user and uses the second duration of each application program on the electronic equipment；
Judge whether second duration of each application program is greater than or equal to the limitation duration of the application program；
When second duration of the application program is greater than or equal to the limitation duration of the application program, journey is applied by described
Sequence is set as in the second disabling duration in disabled status.
4. the Anti-addiction method based on recognition of face as claimed in claim 3, which is characterized in that described to record the user
After the second duration using each application program on the electronic equipment, further includes:
The sum of second duration of each application program for belonging to the study class application is obtained, and is marked as learning
Duration；
Whether the ratio for detecting the study duration and the usable duration is more than default study proportion threshold value；
When being more than default study proportion threshold value, extend the usable duration of the user；
Or
After second duration that the user is recorded using each application program on the electronic equipment, further includes:
The sum of second duration of each application program for belonging to the non-study class application is obtained, and is marked as non-
Learn duration；
Whether the ratio for detecting the non-study duration and the usable duration is more than to preset non-study proportion threshold value；
When being more than to preset non-study proportion threshold value, shorten the usable duration.
5. the Anti-addiction method based on recognition of face as described in claim 1, which is characterized in that described to be used according to described first
At the age of account user as described in the age probability calculation of the corresponding user, be institute according to the age of the user
State user and distribute the usable duration of the electronic equipment, and record the user use the electronic equipment first when
After length, comprising:
The electric quantity change value of the electronic equipment is recorded, and can according to the electric quantity change value and first duration adjustment
Use duration.
6. the Anti-addiction method based on recognition of face as claimed in claim 5, which is characterized in that described to be become according to the electricity
Change value and first duration adjust the usable duration, comprising:
The adjustment critical value of duration can be used according to the electric quantity change value and first duration calculation；
When the adjustment critical value is greater than or equal to default adjusted value, shorten the usable duration.
7. the Anti-addiction method based on recognition of face as described in claim 1, which is characterized in that the method also includes:
The page info for obtaining the website of user's browsing, it is separated to judge whether the website belongs to according to the page info
Advise website or game website；
If the website belongs to violation website or game website, notifies the guardian of the user or the website is added
The connection of blacklist or/and interruption and the website.
8. a kind of Anti-addiction device based on recognition of face characterized by comprising
Acquisition module, first user's head portrait of the user for acquiring electronic equipment；
Identification module, for inputting the face characteristic extracted in the first user head portrait from preset human face recognition model,
By the human face recognition model the first user head portrait is identified, and obtains and exported in the human face recognition model
The age probability of the user corresponding with the first user head portrait；
Logging modle, for the user according to the age probability calculation of the corresponding user of the first user head portrait
Age, be that the user distributes the usable duration of the electronic equipment according to the age of the user, and record institute
State the first duration that user uses the electronic equipment；
Judgment module, for judging whether first duration is greater than or equal to the usable duration；
Setup module, for when first duration is greater than or equal to the usable duration, the electronic equipment to be arranged
To be in disabled status within the first disabling duration.
9. a kind of computer equipment, including memory, processor and storage are in the memory and can be in the processor
The computer program of upper operation, which is characterized in that the processor realized when executing the computer program as claim 1 to
The step of Anti-addiction method described in 7 any one based on recognition of face.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In realization is as described in any one of claim 1 to 7 based on the anti-settling of recognition of face when the computer program is executed by processor
The step of fan's method.
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| CN201811300918.2A CN109376678A (en) | 2018-11-02 | 2018-11-02 | Anti-addiction method, apparatus, equipment and storage medium based on recognition of face |
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|---|---|---|---|
| CN201811300918.2A CN109376678A (en) | 2018-11-02 | 2018-11-02 | Anti-addiction method, apparatus, equipment and storage medium based on recognition of face |
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| CN201811300918.2A Pending CN109376678A (en) | 2018-11-02 | 2018-11-02 | Anti-addiction method, apparatus, equipment and storage medium based on recognition of face |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109886002A (en) * | 2019-02-27 | 2019-06-14 | 苏州迈荣祥信息科技有限公司 | A kind of the use control method and mobile terminal of application software |
| CN110263518A (en) * | 2019-05-31 | 2019-09-20 | 新疆爱华盈通信息技术有限公司 | Electronic equipment and its application method |
| CN110445935A (en) * | 2019-08-16 | 2019-11-12 | 深圳传音控股股份有限公司 | Upper network protection method and online protective device |
| CN111198724A (en) * | 2019-12-27 | 2020-05-26 | 宇龙计算机通信科技(深圳)有限公司 | Application program starting method and device, storage medium and terminal |
| CN111935351A (en) * | 2019-05-13 | 2020-11-13 | Oppo广东移动通信有限公司 | Anti-addiction method and device, electronic equipment and storage medium |
| CN112434667A (en) * | 2020-12-11 | 2021-03-02 | 杭州电魂网络科技股份有限公司 | Juvenile game anti-addiction method, system, device and medium based on face recognition |
| CN113076526A (en) * | 2021-03-25 | 2021-07-06 | 咪咕文化科技有限公司 | Anti-addiction method and device, electronic equipment and storage medium |
| CN113742683A (en) * | 2020-05-28 | 2021-12-03 | 中国电信股份有限公司 | Multi-screen anti-addiction method and system, server, user terminal and storage medium |
| CN113794934A (en) * | 2021-09-15 | 2021-12-14 | 深圳创维－Rgb电子有限公司 | Anti-addiction guiding method, television and computer-readable storage medium |
| CN113946810A (en) * | 2021-12-07 | 2022-01-18 | 荣耀终端有限公司 | Application program running method and electronic equipment |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103323786A (en) * | 2013-06-24 | 2013-09-25 | 贝壳网际（北京）安全技术有限公司 | Method, device and equipment for detecting service life of battery |
| CN104092748A (en) * | 2014-06-30 | 2014-10-08 | 广州金山网络科技有限公司 | Method and device for APP operation control |
| US20150047054A1 (en) * | 2011-12-09 | 2015-02-12 | Intellectual Discovery Co., Ltd. | Method and server for providing online game control service |
| WO2015111887A1 (en) * | 2014-01-21 | 2015-07-30 | (주) 미디어인터랙티브 | Method and device for controlling execution of application, and computer readable recording medium using same |
| CN105245566A (en) * | 2015-08-28 | 2016-01-13 | 广东小天才科技有限公司 | Monitoring method, device and system of learning terminal |
| US20160242119A1 (en) * | 2013-09-27 | 2016-08-18 | Apple Inc. | Displaying Use Time Remaining on Fast Charge Devices |
| CN106127011A (en) * | 2016-07-08 | 2016-11-16 | 山东省产品质量检验研究院 | A kind of mobile terminal controls method, system and device and the mobile terminal that application program uses |
| CN106200940A (en) * | 2016-06-29 | 2016-12-07 | 广东欧珀移动通信有限公司 | Screen control method, screen control device and electronic device |
| CN106327811A (en) * | 2016-11-21 | 2017-01-11 | 安徽理工大学 | Anti-addiction device of computer |
| CN106658179A (en) * | 2016-12-30 | 2017-05-10 | 合智能科技（深圳）有限公司 | app control method and device based on smart television camera |
| CN107172292A (en) * | 2017-06-09 | 2017-09-15 | 深圳天珑无线科技有限公司 | Terminal control method and device |
| CN107765849A (en) * | 2017-09-15 | 2018-03-06 | 深圳天珑无线科技有限公司 | Terminal and its automatically control application program operation method, storage device |
| US20180173861A1 (en) * | 2016-12-16 | 2018-06-21 | International Business Machines Corporation | Access control of software applications based on biometric identifiers |
| CN108319833A (en) * | 2018-01-19 | 2018-07-24 | 维沃移动通信有限公司 | A kind of control method and mobile terminal of application program |
| CN108494841A (en) * | 2018-03-13 | 2018-09-04 | 广东小天才科技有限公司 | Management and control method, device and system based on use condition of terminal equipment |
| CN108537026A (en) * | 2018-03-30 | 2018-09-14 | 百度在线网络技术（北京）有限公司 | application control method, device and server |
| CN108664376A (en) * | 2018-04-03 | 2018-10-16 | 广东小天才科技有限公司 | Equipment use state monitoring method, device and equipment |
-
2018
- 2018-11-02 CN CN201811300918.2A patent/CN109376678A/en active Pending
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150047054A1 (en) * | 2011-12-09 | 2015-02-12 | Intellectual Discovery Co., Ltd. | Method and server for providing online game control service |
| CN103323786A (en) * | 2013-06-24 | 2013-09-25 | 贝壳网际（北京）安全技术有限公司 | Method, device and equipment for detecting service life of battery |
| US20160242119A1 (en) * | 2013-09-27 | 2016-08-18 | Apple Inc. | Displaying Use Time Remaining on Fast Charge Devices |
| WO2015111887A1 (en) * | 2014-01-21 | 2015-07-30 | (주) 미디어인터랙티브 | Method and device for controlling execution of application, and computer readable recording medium using same |
| CN104092748A (en) * | 2014-06-30 | 2014-10-08 | 广州金山网络科技有限公司 | Method and device for APP operation control |
| CN105245566A (en) * | 2015-08-28 | 2016-01-13 | 广东小天才科技有限公司 | Monitoring method, device and system of learning terminal |
| CN106200940A (en) * | 2016-06-29 | 2016-12-07 | 广东欧珀移动通信有限公司 | Screen control method, screen control device and electronic device |
| CN106127011A (en) * | 2016-07-08 | 2016-11-16 | 山东省产品质量检验研究院 | A kind of mobile terminal controls method, system and device and the mobile terminal that application program uses |
| CN106327811A (en) * | 2016-11-21 | 2017-01-11 | 安徽理工大学 | Anti-addiction device of computer |
| US20180173861A1 (en) * | 2016-12-16 | 2018-06-21 | International Business Machines Corporation | Access control of software applications based on biometric identifiers |
| CN106658179A (en) * | 2016-12-30 | 2017-05-10 | 合智能科技（深圳）有限公司 | app control method and device based on smart television camera |
| CN107172292A (en) * | 2017-06-09 | 2017-09-15 | 深圳天珑无线科技有限公司 | Terminal control method and device |
| CN107765849A (en) * | 2017-09-15 | 2018-03-06 | 深圳天珑无线科技有限公司 | Terminal and its automatically control application program operation method, storage device |
| CN108319833A (en) * | 2018-01-19 | 2018-07-24 | 维沃移动通信有限公司 | A kind of control method and mobile terminal of application program |
| CN108494841A (en) * | 2018-03-13 | 2018-09-04 | 广东小天才科技有限公司 | Management and control method, device and system based on use condition of terminal equipment |
| CN108537026A (en) * | 2018-03-30 | 2018-09-14 | 百度在线网络技术（北京）有限公司 | application control method, device and server |
| CN108664376A (en) * | 2018-04-03 | 2018-10-16 | 广东小天才科技有限公司 | Equipment use state monitoring method, device and equipment |
Non-Patent Citations (4)
| Title |
|---|
| RANJAN JANA 等: "Automatic age estimation from face image", 2017 INTERNATIONAL CONFERENCE ON INNOVATIVE MECHANISMS FOR INDUSTRY APPLICATIONS (ICIMIA), 13 July 2017 (2017-07-13), pages 87 - 90 * |
| 张锐 等: "防沉迷系统和网络游戏运营", 科技信息(学术研究), no. 27, 31 December 2007 (2007-12-31), pages 520 - 521 * |
| 林时苗: "基于人脸图像的年龄估计关键技术研究", 中国优秀硕士学位论文全文数据库 信息科技辑, vol. 2016, no. 8, 15 August 2016 (2016-08-15), pages 138 - 1204 * |
| 沈为 等: "浅谈基于深度森林的年龄估计", 自然杂志, vol. 40, no. 5, 25 October 2018 (2018-10-25), pages 355 - 362 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109886002B (en) * | 2019-02-27 | 2020-10-02 | 北京瞭望神州科技有限公司 | Application software use control method and mobile terminal |
| CN109886002A (en) * | 2019-02-27 | 2019-06-14 | 苏州迈荣祥信息科技有限公司 | A kind of the use control method and mobile terminal of application software |
| CN111935351A (en) * | 2019-05-13 | 2020-11-13 | Oppo广东移动通信有限公司 | Anti-addiction method and device, electronic equipment and storage medium |
| CN110263518A (en) * | 2019-05-31 | 2019-09-20 | 新疆爱华盈通信息技术有限公司 | Electronic equipment and its application method |
| CN110445935A (en) * | 2019-08-16 | 2019-11-12 | 深圳传音控股股份有限公司 | Upper network protection method and online protective device |
| CN110445935B (en) * | 2019-08-16 | 2024-03-26 | 深圳传音控股股份有限公司 | Internet surfing protection method and Internet surfing protection device |
| CN111198724A (en) * | 2019-12-27 | 2020-05-26 | 宇龙计算机通信科技(深圳)有限公司 | Application program starting method and device, storage medium and terminal |
| CN113742683A (en) * | 2020-05-28 | 2021-12-03 | 中国电信股份有限公司 | Multi-screen anti-addiction method and system, server, user terminal and storage medium |
| CN112434667A (en) * | 2020-12-11 | 2021-03-02 | 杭州电魂网络科技股份有限公司 | Juvenile game anti-addiction method, system, device and medium based on face recognition |
| CN113076526A (en) * | 2021-03-25 | 2021-07-06 | 咪咕文化科技有限公司 | Anti-addiction method and device, electronic equipment and storage medium |
| CN113076526B (en) * | 2021-03-25 | 2024-05-07 | 咪咕文化科技有限公司 | Anti-addiction method, device, electronic equipment and storage medium |
| CN113794934A (en) * | 2021-09-15 | 2021-12-14 | 深圳创维－Rgb电子有限公司 | Anti-addiction guiding method, television and computer-readable storage medium |
| CN113946810A (en) * | 2021-12-07 | 2022-01-18 | 荣耀终端有限公司 | Application program running method and electronic equipment |
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