CN109147133A - A kind of dormitory method for managing security and system - Google Patents

A kind of dormitory method for managing security and system Download PDF

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Publication number
CN109147133A
CN109147133A CN201811007531.8A CN201811007531A CN109147133A CN 109147133 A CN109147133 A CN 109147133A CN 201811007531 A CN201811007531 A CN 201811007531A CN 109147133 A CN109147133 A CN 109147133A
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student
dormitory
record
saturation
post
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朱彬
高树超
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Zhenjiang Game Intelligent Technology Co Ltd
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Zhenjiang Game Intelligent Technology Co Ltd
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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/30—Individual registration on entry or exit not involving the use of a pass
    • G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
    • G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/30—Individual registration on entry or exit not involving the use of a pass
    • G07C9/38—Individual registration on entry or exit not involving the use of a pass with central registration

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Image Analysis (AREA)
  • Closed-Circuit Television Systems (AREA)
  • Image Processing (AREA)

Abstract

The present invention provides a kind of dormitory method for managing security and system, wherein, the dormitory method for managing security includes the following steps: to read disengaging student's record, the disengaging student of reading is recorded and is compared with database middle school student's information, does not go to the post student as found that the student for not entering into dormitory record is considered as；Not going to the post student such as is student Ku Nei personnel, and transmission does not go to the post student information to houseparent, and alarms；Acquisition enters the face image data of personnel in monitoring range, identifies the facial image of acquisition, when personnel are student without alarm, while sending the gate inhibition of opening signal to dormitory.The present invention can carry out programming count and identification to student's condition of going on duty, before the deadline, can programming count go out not going to the post student, and student information is pushed to Su Guanyuan, verifies Su Guanyuan in time, avoided not going to the post student and safety problem occur.

Description

A kind of dormitory method for managing security and system
Technical field
The present invention relates to dormitory safety management technology field more particularly to a kind of dormitory method for managing security and systems.
Background technique
Currently, domestic Dormitory management, mainly manually manages, Su Guanyuan is needed to be looked on the spot to dormitory Inevitably there is omission problem since student's personnel amount is more in hilllock, and human safety issues once occur for the student being missed, it is difficult to Discovery in time, causes the loss that can not be retrieved.In addition, Su Guanyuan needs to remember that this dormitory is all entering dormitory to stranger Student increases the workload of Su Guanyuan, there is also admit one's mistake people the case where, stolen once stranger enters dormitory, can to learn Green tape carrys out the envelope letter of property loss.Therefore, in view of the above-mentioned problems, it is necessary to propose further solution.
Summary of the invention
It is existing in the prior art to overcome the purpose of the present invention is to provide a kind of dormitory method for managing security and system It is insufficient.
For achieving the above object, the present invention provides a kind of dormitory method for managing security comprising following steps:
Disengaging student's record is read, the disengaging student of reading is recorded and is compared with database middle school student's information, is such as sent out The student for not entering into dormitory record now, which is considered as, does not go to the post student；
Not going to the post student such as is student Ku Nei personnel, and transmission does not go to the post student information to houseparent, and alarms；
Acquisition enters the face image data of personnel in monitoring range, identifies the facial image of acquisition, when personnel are student When without alarm, while sending the access control system of opening signal to dormitory, otherwise issue alarm signal, capture stranger's face Photo, and push at dormitory management personnel.
As the improvement of dormitory method for managing security of the invention, the dormitory method for managing security further includes that setting is inspected the sentries Time reads disengaging student's record when the time is inspected the sentries in arrival, by disengaging student record and the database middle school student information of reading It is compared, does not go to the post as found that the student for not entering into dormitory record is considered as.
As the improvement of dormitory method for managing security of the invention, the dormitory method for managing security further includes to acquisition Face image data is filtered processing:
According to the face image data of acquisition, it is full to calculate local energy spectrum gradient, histogram of gradients extension and maximum chrominance With；
According to local energy spectrum gradient, histogram of gradients extension and the maximum chrominance saturation being calculated, whole picture is counted The ratio that pixel is obscured in image, effectively filters face image data.
As the improvement of dormitory method for managing security of the invention, the local energy spectrum gradient is counted as follows It calculates:
The energy spectrum of NxN sized images is first calculated with discrete Fourier transform:
Then it converts to polar coordinates u=fcos θ, v=fsin θ, and calculates S (f, θ), obtain:
Wherein, A is the amplitude factor in an all directions, and α is energy spectrum slope.Largely studies have shown that scheming naturally α is about 2 as in, and fuzzy image has biggish α.Therefore the On Local Fuzzy degree of image can be described as part and global-alpha value Proportional difference
Wherein, αpIt is local α, αoIt is global-alpha；
The histogram of gradients extension calculates as follows:
The gradient of each pixel of image is first calculated, then with containing there are two the ladders of the gauss hybrid models of Gauss description part Degree distribution: π0G(x；μ0, σ0)+π1G(x；μ1, σ1), wherein σ1>σ0；
According to gradient distribution, the specific formula for calculation of histogram of gradients extension is
Wherein, CpIt is topography's intensity value ranges, ε is the minimum number prevented except zero, and τ is a constant, takes 25；
The maximum chrominance saturation calculates as follows:
First calculate the saturation degree of each pixel:
Then compare local saturation maximum value and global saturation degree maximum value using following formula, it is full to obtain maximum chrominance With:
Wherein, max (sp) it is saturation degree maximum value in topography's block, max (so) it is that saturation degree is maximum in global image Value.
For achieving the above object, the present invention provides a kind of dormitory safety management system comprising: Su Guanyuan APP System, IP Camera, terminal display subsystem, access controller and safety of student management subsystem；
The safety of student management subsystem reads disengaging student's record, will be in the disengaging student record and database of reading Student information is compared, and does not go to the post student as found that the student for not entering into dormitory record is considered as；
Not going to the post student such as is student Ku Nei personnel, and transmission does not go to the post student information to the Su Guanyuan APP subsystem, and It alarms；
The IP Camera acquisition enters the face image data of personnel in monitoring range, identifies the face figure of acquisition Picture when personnel are student without alarm, while sending opening signal to access controller, otherwise issues alarm signal, eventually It holds display subsystem to capture stranger's human face photo, and pushes to the Su Guanyuan APP subsystem.
As the improvement of dormitory safety management system of the invention, the dormitory safety management system is also used to set and inspect the sentries Time, when the time is inspected the sentries in arrival, the safety of student management subsystem reads disengaging student's record, by the disengaging student of reading Record is compared with database middle school student's information, does not go to the post student as found that the student for not entering into dormitory record is considered as.
As the improvement of dormitory safety management system of the invention, the dormitory safety management system is also used to acquisition Face image data is filtered processing:
According to the face image data of acquisition, it is full to calculate local energy spectrum gradient, histogram of gradients extension and maximum chrominance With；
According to local energy spectrum gradient, histogram of gradients extension and the maximum chrominance saturation being calculated, whole picture is counted The ratio that pixel is obscured in image, effectively filters face image data.
As the improvement of dormitory safety management system of the invention, the local energy spectrum gradient is counted as follows It calculates:
The energy spectrum of NxN sized images is first calculated with discrete Fourier transform:
Then it converts to polar coordinates u=fcos θ, v=fsin θ, and calculates S (f, θ), obtain:
Wherein, A is the amplitude factor in an all directions, and α is energy spectrum slope.Largely studies have shown that scheming naturally α is about 2 as in, and fuzzy image has biggish α.Therefore the On Local Fuzzy degree of image can be described as part and global-alpha value Proportional difference
Wherein, αpIt is local α, αoIt is global-alpha；
The histogram of gradients extension calculates as follows:
The gradient of each pixel of image is first calculated, then with containing there are two the ladders of the gauss hybrid models of Gauss description part Degree distribution: π0G(x；μ0, σ0)+π1G(x；μ1, σ1), wherein σ1>σ0；
According to gradient distribution, the specific formula for calculation of histogram of gradients extension is
Wherein, CpIt is topography's intensity value ranges, ε is the minimum number prevented except zero, and τ is a constant, takes 25；
The maximum chrominance saturation calculates as follows:
First calculate the saturation degree of each pixel:
Then compare local saturation maximum value and global saturation degree maximum value using following formula, it is full to obtain maximum chrominance With:
Wherein, max (sp) it is saturation degree maximum value in topography's block, max (so) it is that saturation degree is maximum in global image Value.
Compared with prior art, the beneficial effects of the present invention are: the present invention can unite automatically to student's condition of going on duty Meter and identification, before the deadline, meeting programming count go out not going to the post student, and student information is pushed to Su Guanyuan, make place Pipe person is verified in time, avoids not going to the post student and safety problem occurs.Meanwhile also face can be carried out close to dormitory to stranger It captures, and is compared with student's face database, if comparison is unsuccessful, is considered as stranger and even attempts to enter dormitory, it can be footpath between fields Stranger's photo pushes to Su Guanyuan, so that Su Guanyuan is alerted and handled to stranger.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this The some embodiments recorded in invention, for those of ordinary skill in the art, without creative efforts, It is also possible to obtain other drawings based on these drawings.
Fig. 1 is the module diagram of a specific embodiment of dormitory safety management system of the invention.
Specific embodiment
The present invention is described in detail for each embodiment shown in reference to the accompanying drawing, but it should be stated that, these Embodiment is not limitation of the present invention, those of ordinary skill in the art according to these embodiments made by function, method, Or equivalent transformation or substitution in structure, all belong to the scope of protection of the present invention within.
Dormitory method for managing security of the invention includes the following steps:
Disengaging student's record is read, the disengaging student of reading is recorded and is compared with database middle school student's information, is such as sent out The student for not entering into dormitory record now, which is considered as, does not go to the post student；
Not going to the post student such as is student Ku Nei personnel, and transmission does not go to the post student information to houseparent, and alarms；
Acquisition enters the face image data of personnel in monitoring range, identifies the facial image of acquisition, when personnel are student When without alarm, while sending the access control system of opening signal to dormitory, otherwise issue alarm signal, capture stranger's face Photo, and push at dormitory management personnel.
Further, the dormitory method for managing security further include: setting is inspected the sentries the time, when the time is inspected the sentries in arrival, is read Disengaging student's record is taken, the disengaging student of reading is recorded and is compared with database middle school student's information, as discovery does not enter into The student of dormitory record, which is considered as, does not go to the post.
In addition, the dormitory method for managing security further includes being filtered processing to the face image data of acquisition:
According to the face image data of acquisition, it is full to calculate local energy spectrum gradient, histogram of gradients extension and maximum chrominance With；
According to local energy spectrum gradient, histogram of gradients extension and the maximum chrominance saturation being calculated, whole picture is counted The ratio that pixel is obscured in image, effectively filters face image data.
Wherein, the local energy spectrum gradient calculates as follows:
The energy spectrum of NxN sized images is first calculated with discrete Fourier transform:
Then it converts to polar coordinates u=fcos θ, v=fsin θ, and calculates S (f, θ), obtain:
Wherein, A is the amplitude factor in an all directions, and α is energy spectrum slope.Largely studies have shown that scheming naturally α is about 2 as in, and fuzzy image has biggish α.Therefore the On Local Fuzzy degree of image can be described as part and global-alpha value Proportional difference
Wherein, αpIt is local α, αoIt is global-alpha；
The histogram of gradients extension calculates as follows:
The gradient of each pixel of image is first calculated, then with containing there are two the ladders of the gauss hybrid models of Gauss description part Degree distribution: π0G(x；μ0, σ0)+π1G(x；μ1, σ1), wherein σ1>σ0；
According to gradient distribution, the specific formula for calculation of histogram of gradients extension is
Wherein, CpIt is topography's intensity value ranges, ε is the minimum number prevented except zero, and τ is a constant, takes 25；
The maximum chrominance saturation calculates as follows:
First calculate the saturation degree of each pixel:
Then compare local saturation maximum value and global saturation degree maximum value using following formula, it is full to obtain maximum chrominance With:
Wherein, max (sp) it is saturation degree maximum value in topography's block, max (so) it is that saturation degree is maximum in global image Value.
As shown in Figure 1, being based on identical inventive concept, the present invention also provides a kind of dormitory safety management systems comprising: Su Guanyuan APP subsystem 1, IP Camera 2, terminal display subsystem 3, access controller 4 and safety of student manage subsystem System 5.
Wherein, the safety of student management subsystem 5 reads disengaging student's record, by the disengaging student record and number of reading It is compared according to library middle school student's information, does not go to the post student as found that the student for not entering into dormitory record is considered as；Do not go to the post such as Raw is student Ku Nei personnel, and transmission does not go to the post student information to the Su Guanyuan APP subsystem 1, and alarms；The network The acquisition of camera 2 enters the face image data of personnel in monitoring range, identifies the facial image of acquisition, when personnel are student Without alarm, while opening signal is sent to access controller 4, otherwise issue alarm signal, terminal display subsystem 3 is captured Stranger's human face photo, and push to the Su Guanyuan APP subsystem 1.
Further, the dormitory safety management system is also used to set and inspect the sentries the time, described when the time is inspected the sentries in arrival Safety of student management subsystem 5 reads disengaging student's record, by the disengaging student of reading record and database middle school student information into Row compares, and does not go to the post student as found that the student for not entering into dormitory record is considered as.
The dormitory safety management system is also used to be filtered processing to the face image data of acquisition:
According to the face image data of acquisition, it is full to calculate local energy spectrum gradient, histogram of gradients extension and maximum chrominance With；
According to local energy spectrum gradient, histogram of gradients extension and the maximum chrominance saturation being calculated, whole picture is counted The ratio that pixel is obscured in image, effectively filters face image data.
Wherein, the local energy spectrum gradient calculates as follows:
The energy spectrum of NxN sized images is first calculated with discrete Fourier transform:
Then it converts to polar coordinates u=fcos θ, v=fsin θ, and calculates S (f, θ), obtain:
Wherein, A is the amplitude factor in an all directions, and α is energy spectrum slope.Largely studies have shown that scheming naturally α is about 2 as in, and fuzzy image has biggish α.Therefore the On Local Fuzzy degree of image can be described as part and global-alpha value Proportional difference
Wherein, αpIt is local α, αoIt is global-alpha；
The histogram of gradients extension calculates as follows:
The gradient of each pixel of image is first calculated, then with containing there are two the ladders of the gauss hybrid models of Gauss description part Degree distribution: π0G(x；μ0, σ0)+π1G(x；μ1, σ1), wherein σ1>σ0；
According to gradient distribution, the specific formula for calculation of histogram of gradients extension is
Wherein, CpIt is topography's intensity value ranges, ε is the minimum number prevented except zero, and τ is a constant, takes 25；
The maximum chrominance saturation calculates as follows:
First calculate the saturation degree of each pixel:
Then compare local saturation maximum value and global saturation degree maximum value using following formula, it is full to obtain maximum chrominance With:
Wherein, max (sp) it is saturation degree maximum value in topography's block, max (so) it is that saturation degree is maximum in global image Value.
In conclusion the present invention can carry out programming count and identification, before the deadline, meeting to student's condition of going on duty Programming count goes out not going to the post student, and student information is pushed to Su Guanyuan, verifies Su Guanyuan in time, avoids not going to the post There is safety problem in student.Meanwhile also face snap can be carried out close to dormitory to stranger, and compare with student's face database It is right, if comparison is unsuccessful, it is considered as stranger and even attempts to enter dormitory, stranger's photo can be pushed to Su Guanyuan, so as to Su Guanyuan is alerted and is handled to stranger.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art The other embodiments being understood that.

Claims (8)

1. a kind of dormitory method for managing security, which is characterized in that the dormitory method for managing security includes the following steps:
Disengaging student's record is read, the disengaging student of reading is recorded and is compared with database middle school student's information, as discovery does not have There is the student for entering dormitory record to be considered as and does not go to the post student；
Not going to the post student such as is student Ku Nei personnel, and transmission does not go to the post student information to houseparent, and alarms；
Acquisition enters the face image data of personnel in monitoring range, identifies the facial image of acquisition, not when personnel are student It alarms, while sending the access control system of opening signal to dormitory, otherwise issue alarm signal, capture stranger's face and shine Piece, and push at dormitory management personnel.
2. dormitory method for managing security according to claim 1, which is characterized in that the dormitory method for managing security also wraps It includes setting to inspect the sentries the time, when the time is inspected the sentries in arrival, reads disengaging student's record, by the disengaging student record and database of reading Middle school student's information is compared, and does not go to the post as found that the student for not entering into dormitory record is considered as.
3. dormitory method for managing security according to claim 1, which is characterized in that the dormitory method for managing security also wraps It includes and processing is filtered to the face image data of acquisition:
According to the face image data of acquisition, local energy spectrum gradient, histogram of gradients extension and maximum chrominance saturation are calculated；
According to local energy spectrum gradient, histogram of gradients extension and the maximum chrominance saturation being calculated, entire image is counted In obscure pixel ratio, face image data is effectively filtered.
4. dormitory method for managing security according to claim 1, which is characterized in that the local energy spectrum gradient is according to such as Lower method calculates:
The energy spectrum of NxN sized images is first calculated with discrete Fourier transform:
Then it converts to polar coordinates u=fcos θ, v=fsin θ, and calculates S (f, θ), obtain:
Wherein, A is the amplitude factor in an all directions, and α is energy spectrum slope；It is a large amount of studies have shown that α in natural image About 2, fuzzy image has biggish α.Therefore the On Local Fuzzy degree of image can be described as the ratio of part and global-alpha value Difference
Wherein, αpIt is local α, αoIt is global-alpha；
The histogram of gradients extension calculates as follows:
The gradient of each pixel of image is first calculated, then with containing there are two the gradients point of the gauss hybrid models of Gauss description part Cloth: π0G(x；μ0, σ0)+π1G(x；μ1, σ1), wherein σ1>σ0；
According to gradient distribution, the specific formula for calculation of histogram of gradients extension is
Wherein, CpIt is topography's intensity value ranges, ε is the minimum number prevented except zero, and τ is a constant, takes 25；
The maximum chrominance saturation calculates as follows:
First calculate the saturation degree of each pixel:
Then compare local saturation maximum value and global saturation degree maximum value using following formula, obtain maximum chrominance saturation:
Wherein, max (sp) it is saturation degree maximum value in topography's block, max (so) it is saturation degree maximum value in global image.
5. a kind of dormitory safety management system, which is characterized in that the dormitory safety management system includes: Su Guanyuan APP subsystem System, IP Camera, terminal display subsystem, access controller and safety of student management subsystem；
The safety of student management subsystem reads disengaging student's record, by disengaging student record and the database middle school student of reading Information is compared, and does not go to the post student as found that the student for not entering into dormitory record is considered as；
Not going to the post student such as is student Ku Nei personnel, and transmission does not go to the post student information to the Su Guanyuan APP subsystem, and carries out Alarm；
The IP Camera acquisition enters the face image data of personnel in monitoring range, identifies the facial image of acquisition, when Without alarm when personnel are student, while opening signal is sent to access controller, otherwise issue alarm signal, terminal is shown Subsystem captures stranger's human face photo, and pushes to the Su Guanyuan APP subsystem.
6. dormitory safety management system according to claim 5, which is characterized in that the dormitory safety management system is also used It inspects the sentries the time in setting, when the time is inspected the sentries in arrival, the safety of student management subsystem reads disengaging student's record, will read Disengaging student record be compared with database middle school student's information, as found, not entering into the student that dormitory records is considered as and does not arrive Hilllock student.
7. dormitory safety management system according to claim 1, which is characterized in that the dormitory safety management system is also used In being filtered processing to the face image data of acquisition:
According to the face image data of acquisition, local energy spectrum gradient, histogram of gradients extension and maximum chrominance saturation are calculated；
According to local energy spectrum gradient, histogram of gradients extension and the maximum chrominance saturation being calculated, entire image is counted In obscure pixel ratio, face image data is effectively filtered.
8. dormitory safety management system according to claim 1, which is characterized in that the local energy spectrum gradient is according to such as Lower method calculates:
The energy spectrum of NxN sized images is first calculated with discrete Fourier transform:
Then it converts to polar coordinates u=fcos θ, v=fsin θ, and calculates S (f, θ), obtain:
Wherein, A is the amplitude factor in an all directions, and α is energy spectrum slope；It is a large amount of studies have shown that α in natural image About 2, fuzzy image has biggish α.Therefore the On Local Fuzzy degree of image can be described as the ratio of part and global-alpha value Difference
Wherein, αpIt is local α, αoIt is global-alpha；
The histogram of gradients extension calculates as follows:
The gradient of each pixel of image is first calculated, then with containing there are two the gradients point of the gauss hybrid models of Gauss description part Cloth: π0G(x；μ0, σ0)+π1G(x；μ1, σ1), wherein σ1>σ0；
According to gradient distribution, the specific formula for calculation of histogram of gradients extension is
Wherein, CpIt is topography's intensity value ranges, ε is the minimum number prevented except zero, and τ is a constant, takes 25；
The maximum chrominance saturation calculates as follows:
First calculate the saturation degree of each pixel:
Then compare local saturation maximum value and global saturation degree maximum value using following formula, obtain maximum chrominance saturation:
Wherein, max (sp) it is saturation degree maximum value in topography's block, max (so) it is saturation degree maximum value in global image.
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Publication number Priority date Publication date Assignee Title
CN110084925A (en) * 2019-04-03 2019-08-02 南京邮电大学 A kind of university dormitory management method and its system based on recognition of face
CN112381690A (en) * 2020-11-17 2021-02-19 广东鉴面智能科技有限公司 School dormitory management method and system

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