CN110070043A - It is a kind of that training management system and method is driven based on recognition of face - Google Patents
It is a kind of that training management system and method is driven based on recognition of face Download PDFInfo
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- 238000012549 training Methods 0.000 title claims abstract description 24
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Abstract
The invention discloses a kind of to drive training management system and method based on recognition of face, the system comprises: terminal device, background server, the terminal device includes video acquisition module, image capture module, data conversion and generation module, face recognition module, and described image acquisition module is for image of the crawl with complete head portrait from video information；Then the face recognition module extracts feature for pre-processing to truncated picture again；The background server includes aspect ratio to server and facial feature database server.For the present invention when handling data write-in, speed is faster more convenient, and completion greatly mitigates server stress because network factors influence time training；Meanwhile avoiding the occurrence of enterprise and the generation of operator's cheating.
Description
Technical field
The present invention relates to Driving Test training related application technology, it is specifically a kind of based on recognition of face drive training management system and
Method.
Background technique
With China's rapid development of economy, the sales volume of automobile is constantly soaring, and the continuous improvement of family income is more and more
People can buy private car, therefore the people of learning can be more and more, so that driving training industry of driving is grown rapidly.
Monitoring system on learning or practical operation vehicle is set at present, such as fingerprint, smart card etc. all have identity
The monitoring loophole of identification is easy to be played tricks by counterfeit, causes driver that can take place frequently by learning phenomenon generation by other people, is not actually completed
The examinee in regulation class hour causes biggish security risk to society in upper road.In response to this problem, recognition of face is based on greater need for one kind
Overall process driving school examinee's auth method, by recognition of face this more intuitive, recognition speed faster, it is anti-fake degree it is higher
Technology farthest excludes interference of the human factor to driving school's class hour and examination.
The driver's time training system based on recognition of face applied at present is to collect photo based on terminal, needs to upload
Feature object progress photo comparison has been stored to stored database or from database reading, has depended on network, it is necessary to be
Presence could be completed to identify, and return the result, under this mode efficiency is relatively low, and due to being completely dependent on network item
Part causes the speed for handling data very slow, and if it is off-line state, then influences driving school's operation；And the same time is by taking
Business device handles photo, causes server stress excessive, leads to data congestion, this mode is unfavorable for actual application.
Summary of the invention
The purpose of the present invention is to provide a kind of to drive training management system and method based on recognition of face, to solve above-mentioned back
The problem of being proposed in scape technology.
To achieve the above object, the invention provides the following technical scheme:
It is a kind of that training management system is driven based on recognition of face, comprising: terminal device, background server, the terminal device
Including video acquisition module, image capture module, data conversion and generation module, face recognition module, described image acquires mould
Block is for image of the crawl with complete head portrait from video information；The face recognition module is used to carry out truncated picture
Pretreatment, then extract feature again, and by photo with illumination quality, angle, facial pose critical field in portrait photo library
It is demarcated, while the image of suitable modeling is subjected to modeling and forms skin detection；The background server includes feature
Compare server and facial feature database server, the facial feature database server for store driving school student and
The face characteristic data of coach, the aspect ratio are used for face in skin detection and facial feature database server
Characteristic is compared.
As a further solution of the present invention: the video acquisition module is the camera shooting being mounted on learner-driven vehicle or in driving school
Head, for obtaining the dynamic video containing face head portrait.
As a further solution of the present invention: the data conversion and generation module are used to skin detection generating lattice
Formula file.
As a further solution of the present invention: the terminal device further includes memory, for storing through data conversion and
The formatted file that generation module generates.
It is a kind of that training management method is driven based on recognition of face, comprising the following steps:
(1) portrait database is established；
(2) camera in driving school or vehicle-mounted mobile camera device obtain the student of video acquisition and the video letter of coach
Breath；Image capture module carries out crawl processing to video information, obtains the image for containing complete face head portrait；
(3) if terminal device is under off-line state, the face recognition module in terminal device is calculated using offline human face analysis
Face acquisition, repetition face in method completion image uniquely change and skin detection extracts, and face picture is saved in storage
Device storage backup, and face picture is uploaded to aspect ratio pair automatically by way of manually importing or after offline terminal networking
Server；If offline terminal, under connected state, face picture will be uploaded to spy by the face recognition module in terminal device
Sign compares server；
(4) after aspect ratio is judged as target object to server, administrative center is returned the result to, record is automatically begun to and learns
When, and second of data selection of server progress is compared aspect ratio is automatically uploaded to class hour.
As a further solution of the present invention: step (1) establishes portrait data base method are as follows: student passes through Image Acquisition mould
Block acquires head portrait, and is uploaded in facial feature database server and stores.
As a further solution of the present invention: if aspect ratio judges non-targeted object to server, class hour data being denoted as
0, while aspect ratio sends alarm command to administrative center to server.
Compared with prior art, the beneficial effects of the present invention are: comparison driver timing of the previous generation based on recognition of face
Training system, the present invention handle data write-in when, speed is faster more convenient, completion because network factors influence time training, and
Greatly mitigate server stress；Simultaneously as a You Duojia operator, districts and cities, the face algorithm judgement that different operators use
Condition is different, avoids the occurrence of enterprise and operator's cheating occurs.In addition, terminal device is in the state of no network, it can
Offline candid photograph coach, student's photo are compared, and realize offline training realization, improve the adaptability of system.
Detailed description of the invention
Fig. 1 is a kind of flow chart for driving training management method based on recognition of face.
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 only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It is a kind of that training management system is driven based on recognition of face, comprising: terminal device, background service in the embodiment of the present invention
Device, the terminal device include video acquisition module, image capture module, data conversion and generation module, face recognition module
And memory, the video acquisition module are the camera being mounted on learner-driven vehicle or in driving school, contain face head for obtaining
The dynamic video of picture；Described image acquisition module is for image of the crawl with complete head portrait from video information；The data
Conversion and generation module are used to skin detection generating formatted file and be stored in memory, the face recognition module
For pre-processing to truncated picture, feature is then extracted again, and photo is closed with illumination quality, angle, facial pose
Key field is demarcated in portrait photo library, while the image of suitable modeling is carried out modeling and forms skin detection,
In, under off-line state, the skin detection that face recognition module generates, which is sent in data conversion and generation module, to be handled, and is joined
Under net state, the skin detection that face recognition module generates, which is sent in background server, to be handled；The background server
Including aspect ratio to server and facial feature database server, the facial feature database server is for storing driving school
The face characteristic data of student and coach, the aspect ratio are used for skin detection and face characteristic data server
Face characteristic data are compared in library, and comparison result is sent to administrative center after the completion of comparison.
It is refering to fig. 1, a kind of that training management method is driven based on recognition of face, comprising the following steps:
(1) student acquires head portrait by image capture module, and is uploaded in facial feature database server and stores, and builds
Erect portrait database；
(2) the video letter for the video acquisition student and coach that the camera in driving school or vehicle-mounted mobile camera device obtain
Breath；Image capture module carries out crawl processing to video information, obtains the image for containing complete face head portrait；
(3) for terminal device under off-line state, the face recognition module in terminal device uses offline human face analysis algorithm
(multiple) face acquires in completion image, repetition face is uniquely changed and skin detection extracts, and face picture is saved in and is deposited
Reservoir storage backup, and face picture is uploaded to aspect ratio automatically by way of manually importing or after offline terminal networking
To server, in this way when terminal device is under no network condition, certification, identification and data record can also be independently completed；From
For line terminal under connected state, face picture is uploaded to aspect ratio to server by the face recognition module in terminal device；
(4) aspect ratio returns the result to administrative center to server after identification is judged as target object, automatically begins to
Class hour is recorded, and second of data selection of server progress is compared aspect ratio is automatically uploaded to class hour, passes through aspect ratio pair
Class hour is checked in server recognition of face, checks student's class hour authenticity again；If judging non-targeted object, then it is assumed that the non-student
It logs in, then this time class hour data are denoted as 0, while aspect ratio sends alarm command to administrative center to server, to be notified
Warning.
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 (7)
1. a kind of drive training management system based on recognition of face, comprising: terminal device, background server, it is characterised in that: described
Terminal device includes video acquisition module, image capture module, data conversion and generation module, face recognition module, the figure
As acquisition module is for image of the crawl with complete head portrait from video information；
Then the face recognition module extracts feature, and by photo with illumination for pre-processing to truncated picture again
Quality, angle, facial pose critical field are demarcated in portrait photo library, while the image of suitable modeling being modeled
Form skin detection；
The background server includes aspect ratio to server and facial feature database server, the facial feature database
Server is used to store the face characteristic data of driving school student and coach, and the aspect ratio is used for face characteristic server
Face characteristic data are compared in template and facial feature database.
A kind of training management system is driven based on recognition of face 2. according to claim 1, it is characterised in that: the video is adopted
Collecting module is the camera being mounted on learner-driven vehicle or in driving school, for obtaining the dynamic video containing face head portrait.
A kind of training management system is driven based on recognition of face 3. according to claim 1, it is characterised in that: the data turn
It changes and generation module is used to skin detection generating formatted file.
A kind of training management system is driven based on recognition of face 4. according to claim 3, it is characterised in that: the terminal is set
Standby further includes memory, for storing the formatted file through data conversion and generation module generation.
5. a kind of drive training management method based on recognition of face, it is characterised in that: the following steps are included:
(1) portrait database is established；
(2) camera in driving school or vehicle-mounted mobile camera device obtain the student of video acquisition and the video information of coach；
Image capture module carries out crawl processing to video information, obtains the image for containing complete face head portrait；
(3) if terminal device is under off-line state, the face recognition module in terminal device is complete using offline human face analysis algorithm
Uniquely change at the face acquisition in image, repetition face and skin detection extracts, face picture is saved in memory and is deposited
Part is laid in, and face picture is uploaded to aspect ratio to service automatically by way of manually importing or after offline terminal networking
Device；If offline terminal, under connected state, face picture will be uploaded to aspect ratio by the face recognition module in terminal device
To server；
(4) after aspect ratio is judged as target object to server, administrative center is returned the result to, automatically begins to record class hour, and
Second of data selection of server progress is compared aspect ratio is automatically uploaded to class hour.
A kind of training management method is driven based on recognition of face 6. according to claim 5, it is characterised in that: in step (1),
Student acquires head portrait by image capture module, and is uploaded in facial feature database server and stores, it is established that portrait number
According to library.
A kind of training management method is driven based on recognition of face 7. according to claim 5, it is characterised in that: in step (4),
If aspect ratio is judged as non-targeted object to server, class hour data are denoted as 0, at the same aspect ratio to server to administrative center
Send alarm command.
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| CN201910327616.2A CN110070043A (en) | 2019-04-23 | 2019-04-23 | It is a kind of that training management system and method is driven based on recognition of face |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111260008A (en) * | 2020-01-17 | 2020-06-09 | 小圾(上海)环保科技有限公司 | Garbage non-inductive delivery monitoring system and delivery method thereof |
| CN111539281A (en) * | 2020-04-15 | 2020-08-14 | 上海明略人工智能(集团)有限公司 | Distributed face recognition method and system |
| CN111598043A (en) * | 2020-05-25 | 2020-08-28 | 山东超越数控电子股份有限公司 | Face recognition method, system, device and medium |
| CN111985301A (en) * | 2020-06-30 | 2020-11-24 | 辽宁省交通高等专科学校 | Face recognition system |
| CN113556507A (en) * | 2020-04-23 | 2021-10-26 | 中科云视有限公司 | Vehicle-mounted intelligent monitoring system for training and monitoring method thereof |
| CN114118966A (en) * | 2021-11-26 | 2022-03-01 | 中交四航局江门航通船业有限公司 | Data processing method, system and storage medium for pre-post safety training |
| CN117787921A (en) * | 2024-02-27 | 2024-03-29 | 北京烽火万家科技有限公司 | Intelligent education training management method and identity anti-counterfeiting method for intelligent education training |
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| CN117787921A (en) * | 2024-02-27 | 2024-03-29 | 北京烽火万家科技有限公司 | Intelligent education training management method and identity anti-counterfeiting method for intelligent education training |
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Application publication date: 20190730 |