CN209719572U - A kind of fatigue driving control system for identifying - Google Patents
A kind of fatigue driving control system for identifying Download PDFInfo
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- CN209719572U CN209719572U CN201920370225.4U CN201920370225U CN209719572U CN 209719572 U CN209719572 U CN 209719572U CN 201920370225 U CN201920370225 U CN 201920370225U CN 209719572 U CN209719572 U CN 209719572U
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Abstract
It include: video acquisition module, the vehicle detection and recognition subsystem for detecting and identifying information of vehicles in acquired video image, for detecting face and identifying that the tired recognition subsystem of fatigue driving, identification is surveyed in people's car test and data store the control subsystem of transmission, output subsystem for controlling the utility model proposes a kind of fatigue driving control system for identifying；The output end of the video acquisition module connects the input terminal of the control subsystem；The output end of the control subsystem is connected with output subsystem；The vehicle detection and recognition subsystem and the tired recognition subsystem are connect with the control subsystem；The supervision of one-stop people's vehicle in driving procedure may be implemented in the utility model, reduces worker workload, improves safe driving supervisory efficiency.
Description
Technical field
The utility model relates to Intelligent traffic safety identification field more particularly to a kind of fatigue driving control system for identifying.
Background technique
In recent years, with the rapid growth of China's car ownership, frequent accidents occur, driving safety be one not
Negligible important social concern, wherein fatigue driving has become the huge security risk of road traffic.The driving of driver
Behavior is to determine the key factor of safety in driving procedure, and regular safe driving behavior can largely reduce traffic
The generation of accident.
" intelligent vehicle " in the prior art increases the external equipments such as sensor, controller usually in common vehicle,
Driver in case of emergency, can be being reminded in time or directly substitutes manual operation, as the extension of driver's sense organ, by
To the limitation of itself degree of intelligence, manual operation can not be replaced completely.Also, fatigue driving equipment is installed on vehicle only can be used
Make self to remind, lacks effective supervision of traffic control department, scheduled effect is often not achieved.Therefore, itself of driver is improved
Awareness of safety is still the Main way of current prevention traffic accident.
Utility model content
In view of the above problem of the existing technology, the utility model proposes a kind of fatigue driving control system for identifying, main
Solve effective identification of driver tired driving and timely and effective supervision problem in driving conditions.
To achieve the goals above and other purposes, the technical solution adopted in the utility model are as follows.
A kind of fatigue driving control system for identifying includes: video acquisition module, output subsystem, for detecting and identifying institute
The vehicle detection and recognition subsystem of information of vehicles in acquisition video image, for detecting face and identifying the fatigue of fatigue driving
Recognition subsystem and the control system that identification and data storage transmission are surveyed for controlling people's car test；
The output end of the video acquisition module connects the input terminal of the control subsystem；The control subsystem it is defeated
The connection of the input terminal of outlet and output subsystem；The vehicle detection and recognition subsystem and the tired recognition subsystem and institute
State control subsystem connection.
Optionally, the control subsystem include memory module and for control video data transmission, vehicle detection identification
And the control module of fatigue identification；The input terminal of the control module connects the output end of the video acquisition module；It is described
The output end of control module connects the memory module and output subsystem.Real-time Transmission and storage related data, convenient for subsequent
Problem retrospect.
Optionally, the vehicle detection and recognition subsystem includes vehicle detection module and vehicle identification module；The vehicle
The input terminal of detection module connects the output end of the control module, and the control module is collected by video acquisition module
Video is inputted；The output end of the vehicle detection module is separately connected the vehicle identification module and fatigue identification
The input terminal of system；The output end of the fatigue recognition subsystem connects the input terminal of the vehicle identification module, the vehicle
The output end of identification module connects the input terminal of the control module.Vehicle detection module is transmitted across for detecting by control module
The vehicle present position region in video image come, convenient for obtaining vehicle and driver's face relevant information, vehicle identification mould
Block identifies vehicle-related information to assist traffic control department to track the driving vehicle there are fatigue driving behavior in time.
Optionally, the control module includes vehicle detection and recognition control unit and tired identification control unit；Institute
It states vehicle detection and recognition control unit and connects the vehicle detection and recognition subsystem；The fatigue identification control unit connection
The fatigue recognition subsystem.
Optionally, the tired recognition subsystem includes the face detection module and use for detecting driver's facial image
In the tired identification module of identification fatigue driving；The input terminal of the face detection module connects the defeated of the vehicle detection module
Outlet；The output end of the face detection module connects the input terminal of the tired identification module；The fatigue identification module connects
Connect the input terminal of the vehicle identification module.The face information for detecting vehicle region driver, passes through eyes, the mouth to face
Bar correlated characteristic, which capture, realizes Face datection, while the information such as offset for obtaining head center point position, knows for fatigue
Not.
Optionally, the vehicle identification module includes the first recognition unit and vehicle face for identification of license plate for identification
Second recognition unit of color, vehicle and Brand-Related Information；The output end of first recognition unit and the second recognition unit with
The input terminal of the control module is connected；The input terminal of first recognition unit and the second recognition unit connection fatigue is known
The output end of other module and the vehicle detection module.It uses to have for text, color, vehicle and brand and targetedly identify
Unit, recognition efficiency are higher.
Optionally, the vehicle detection module includes in SSD model, Faster RCNN model or DenseBox model
It is a kind of.The SSD model, Faster RCNN model, DenseBox model are detection model mature in the prior art,
Detection accuracy and high-efficient.
Optionally, the face detection module includes the multi information detection model obtained using convolutional neural networks training.
The convolutional neural networks are existing common convolutional neural networks, and obtained multi information monitoring model is for detecting face characteristic
Point and head pose.
Optionally, the tired identification module includes facial feature detection unit, for carrying out tired shape to face feature
The fatigue state recognition unit that state identifies and the assessment unit for being assessed the fatigue state data of identification；The face
The output end of characteristic detection unit connects the input terminal of the fatigue state recognition unit, the fatigue state recognition unit it is defeated
Outlet connects the input terminal of the assessment unit.According to the tired shape for the characteristic information identification driver that face detection module provides
State, and assessment unit will be inputted after fatigue state data Time-space serial, obtain final assessment result.
Optionally, the output subsystem includes warning module and display module, the warning module and display module
Input terminal connects the output end of the control module.When driver tired driving, the display mould of output subsystem can be passed through
Block real-time display facilitates rear end administrative staff to check and respond.
As described above, a kind of fatigue driving control system for identifying of the utility model, has the advantages that.
Whole process does not need naked eyes and recognizes, reduces the workload of staff；Can Real-time Feedback fatigue driving personnel face
And information of vehicles, effective supervision convenient to carry out help traffic control department to find fatigue driving personnel in time, safeguard civil order,
Ensure society and personal interests；Information record is put on record, convenient for retrospect.
Detailed description of the invention
Fig. 1 is the structural block diagram of the utility model fatigue driving control system for identifying.
Label declaration
1 tired recognition subsystem
1a face detection module
1b fatigue identification module
2 vehicle detection and recognition subsystems
2a vehicle detection module
2b vehicle identification module
3 control subsystems
3a control module
3b memory module
4 video acquisition modules
5 output subsystems
5a display module
5b warning module
Specific embodiment
Illustrate the embodiments of the present invention below by way of specific specific example, those skilled in the art can be by this theory
Content disclosed by bright book understands other advantages and effect of the utility model easily.The utility model can also be by addition
Different specific embodiments are embodied or practiced, and the various details in this specification can also be based on different viewpoints and answer
With carrying out various modifications or alterations under the spirit without departing from the utility model.It should be noted that the case where not conflicting
Under, the feature in following embodiment and embodiment can be combined with each other.
It should be noted that diagram provided in following embodiment only illustrates the basic of the utility model in a schematic way
Conception, only shown in schema then with related component in the utility model rather than component count when according to actual implementation, shape
And size is drawn, when actual implementation kenel, quantity and the ratio of each component can arbitrarily change for one kind, and its assembly layout
Kenel may also be increasingly complex.
Referring to Fig. 1, the utility model provides a kind of fatigue driving control system for identifying, comprising: video acquisition module 4,
Output subsystem 5, is used the vehicle detection and recognition subsystem 2 for detecting and identifying information of vehicles in acquired video image
In detection face and identifies the tired recognition subsystem 1 of fatigue driving and survey identification and data storage transmission for controlling people's car test
Control subsystem 3；
The output end of the video acquisition module 4 connects the input terminal of the control subsystem 3；The control subsystem 3
Output end connect with the input terminal of output subsystem 5；The vehicle detection and recognition subsystem 2 and the fatigue identification subsystem
System 1 is connect with the control subsystem 3.
In one embodiment, the control subsystem 3 is including memory module 3b and for controlling video data transmission, vehicle
The control module 3a of detection identification and fatigue identification；The input terminal of the control module 3a connects the video acquisition module 4
Output end；The output end of the control module 3a connects the memory module 3b and output subsystem 5.
In another embodiment, the video acquisition module 4 is placed in above traffic route, passes through wired or wireless mode
Control subsystem 3 is connected, the road surface running vehicle video image information acquired in real time is transferred to the control at 3 end of control subsystem
Module 3a, by control module 3a by transmission of video images to vehicle detection and recognition subsystem 2.
In one embodiment, the control module 3a includes vehicle detection and recognition control unit and fatigue identification control
Unit；The vehicle detection and recognition control unit connects the vehicle detection and recognition subsystem 2；The fatigue identification control
The unit connection tired recognition subsystem 1.
The vehicle detection and recognition subsystem 2 is including vehicle identification module 2b and for detecting vehicle position in video image
Set the vehicle detection module 2a in region；The vehicle detection that the input terminal of the vehicle detection module 2a passes through the control module 3a
The video collected of video acquisition module 4 is inputted with identification control unit；The output end of the vehicle detection module 2a
It is separately connected the input terminal of the vehicle identification module 2b and the tired recognition subsystem 1；The vehicle identification module 2b's
Input terminal connects the output end of the tired recognition subsystem 1, and the output end of the vehicle identification module 2b connects the control
The input terminal of the vehicle detection and recognition control unit of module 3a.
The vehicle detection module 2a receives the video image that control module 3a is sended over, each frame figure of real-time monitoring
Picture detects vehicle present in image.In another embodiment, the vehicle detection module 2a includes SSD model, Faster
One of detection models such as RCNN model, DenseBox.The SSD model, Faster RCNN model, DenseBox mould
Type is detection model mature in the prior art, detection accuracy and high-efficient.
The information of vehicles that the vehicle detection module 2a will test out is sent to tired recognition subsystem 1.
The fatigue recognition subsystem 1 includes face detection module 1a for detecting driver's facial image and for knowing
The tired identification module 1b of other fatigue driving；The input terminal of the face detection module 1a connects the vehicle detection module 2a's
Output end；The output end of the face detection module 1a connects the input terminal of the tired identification module 1b；The fatigue identification
Module 1b connects the input terminal of the vehicle identification module 2b.
The face detection module 1a receives the control command of tired identification control unit, obtains the vehicle detection module
The output image information of 2a, receive vehicle detection module 2a output image information, for the vehicle location region detected into
Row Face datection obtains driver's face and key point information.In another embodiment, the face detection module 1a includes adopting
The method of the multi information detection model obtained with convolutional neural networks training, the convolutional neural networks training detection model is existing
There is technology, which is not described herein again.The multi information detection model detects driver's face according to the vehicle position information in image
And key point.
Driver's face and key point are inputted the tired identification module 1b by the face detection module 1a.In another reality
It applies in example, the fatigue identification module 1b includes facial feature detection unit, for carrying out fatigue state identification to face feature
Fatigue state recognition unit and assessment unit for being assessed the fatigue state data of identification；The face feature inspection
The output end for surveying unit connects the fatigue state recognition unit, and the output end of the fatigue state recognition unit connects institute's commentary
Estimate the input terminal of unit.
The facial feature detection unit uses multitask coordinated based on facial feature points detection and head pose estimation
Learning method, according to the prior information of key point completion lip-syncing, eye areas quickly detects and head center point displacement meter
It calculates, the multitask coordinated learning method is the mature prior art.It is special that the fatigue state recognition unit receives the face
The output of sign point detection unit, lip-syncing, eye image carry out state recognition, obtain facial status data；The assessment unit root
According to the fatigue state of facial status data assessment driver.If judging driver for fatigue driving, the assessment unit is sent
Information triggers the vehicle identification module 2b starting, and corresponding facial image is sent to tired identification simultaneously by the assessment unit
Control unit.
The vehicle identification module 2b includes the first recognition unit and vehicle color, vehicle for identification of license plate for identification
Second recognition unit of type and Brand-Related Information；The output end of first recognition unit and the second recognition unit and control mould
The input terminal of block connects；The input terminal of first recognition unit and the second recognition unit connect the fatigue identification module 1b with
The output end of the vehicle detection module 2a.First recognition unit and the second recognition unit are from the vehicle detection module 2a
Output in obtain vehicle image information, identify the relevant informations such as license plate, color, vehicle and the brand of vehicle, be sent to control
The vehicle detection and recognition control unit of molding block 3a.
The output subsystem includes warning module and display module, the input terminal company of the warning module and display module
Connect the output end of the control module.
After the control module 3a obtains recognition result, tired driver and corresponding information of vehicles are passed through into output subsystem
5 real-time displays facilitate rear end administrative staff to handle in time；Above- mentioned information are sent to memory module 3b record simultaneously to achieve, side
Just it traces in the future.
In another embodiment, the warning module may be provided on vehicle, and the warning module is for receiving control
The pre-warning signal of system reminds driver safety to drive.The output subsystem, which may also include, to be installed on mobile unit or hand
The client of generator terminal, can real-time reception safety prompt function information, it is all to can receive safety prompt function letter with the associated account of driver
Breath prompts driver tired driving.
In conclusion a kind of fatigue driving control system for identifying of the utility model, realizes the one-stop people's vehicle prison of driving procedure
Pipe, in real time return fatigue driving personnel face and information of vehicles, and can efficiently, quickly and accurately identify fatigue driving, help
Traffic management department finds the problem in time, safeguards civil order, ensures society and personal interests.So the utility model has
Effect overcomes various shortcoming in the prior art and has high industrial utilization value.
The above embodiments are only illustrative of the principle and efficacy of the utility model, and not for limitation, this is practical new
Type.Any person skilled in the art can all carry out above-described embodiment under the spirit and scope without prejudice to the utility model
Modifications and changes.Therefore, such as those of ordinary skill in the art without departing from the revealed essence of the utility model
All equivalent modifications or change completed under mind and technical idea, should be covered by the claim of the utility model.
Claims (10)
1. a kind of fatigue driving control system for identifying characterized by comprising video acquisition module, output subsystem, for examining
Survey and identify the vehicle detection and recognition subsystem of information of vehicles in acquired video image, for detecting face and identifying fatigue
The tired recognition subsystem of driving and the control subsystem that identification and data storage transmission are surveyed for controlling people's car test；
The output end of the video acquisition module connects the input terminal of the control subsystem；The output end of the control subsystem
It is connect with the input terminal of output subsystem；The vehicle detection and recognition subsystem and the tired recognition subsystem and the control
Subsystem connection.
2. fatigue driving control system for identifying according to claim 1, which is characterized in that the control subsystem includes depositing
Storage module and the control module identified for controlling video data transmission, vehicle detection identification and fatigue；The control module
Input terminal connect the output end of the video acquisition module；The output end of the control module connects the memory module and defeated
Subsystem out.
3. fatigue driving control system for identifying according to claim 1, which is characterized in that vehicle detection and recognition
System includes vehicle detection module and vehicle identification module；The input terminal of the vehicle detection module connects the control module
Output end；The output end of the vehicle detection module is separately connected the vehicle identification module and the tired recognition subsystem
Input terminal；The output end of the fatigue recognition subsystem connects the input terminal of the vehicle identification module, the vehicle identification mould
The output end of block connects the input terminal of the control module.
4. fatigue driving control system for identifying according to claim 2, which is characterized in that the control module includes vehicle
Detection with identification control unit and fatigue identification control unit；The vehicle detection and recognition control unit connects the vehicle
Detection and recognition subsystem；The fatigue identification control unit connection tired recognition subsystem.
5. fatigue driving control system for identifying according to claim 1, which is characterized in that the fatigue recognition subsystem packet
Include face detection module for detecting driver's facial image and for identification tired identification module of fatigue driving；The people
The input terminal of face detection module connects the output end of the vehicle detection module；The output end of the face detection module connects institute
State the input terminal of tired identification module；The fatigue identification module connects the input terminal of the vehicle identification module.
6. fatigue driving control system for identifying according to claim 3, which is characterized in that the vehicle identification module includes
First recognition unit of license plate and for identification the second identification list of vehicle color, vehicle and Brand-Related Information for identification
Member；The output end of first recognition unit and the second recognition unit is connected with the input terminal of the control module；Described first
The input terminal of recognition unit and the second recognition unit connects the output end of the tired identification module and the vehicle detection module.
7. fatigue driving control system for identifying according to claim 3, which is characterized in that the vehicle detection module includes
One of SSD model, Faster RCNN model or DenseBox model.
8. fatigue driving control system for identifying according to claim 5, which is characterized in that the face detection module includes
The multi information detection model obtained using convolutional neural networks training.
9. fatigue driving control system for identifying according to claim 5, which is characterized in that it is described fatigue identification module include
Facial feature detection unit, for carrying out the fatigue state recognition unit of fatigue state identification to face feature and for identification
The assessment unit assessed of fatigue state data；The output end of the facial feature detection unit connects the fatigue state
The output end of the input terminal of recognition unit, the fatigue state recognition unit connects the input terminal of the assessment unit.
10. according to claim 1 or 2 any fatigue driving control system for identifying, which is characterized in that the output subsystem
System includes warning module and display module, and the warning module connects the output of the control module with the input terminal of display module
End.
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| CN201920370225.4U CN209719572U (en) | 2019-03-22 | 2019-03-22 | A kind of fatigue driving control system for identifying |
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| CN201920370225.4U CN209719572U (en) | 2019-03-22 | 2019-03-22 | A kind of fatigue driving control system for identifying |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111243236A (en) * | 2020-01-17 | 2020-06-05 | 南京邮电大学 | Fatigue driving early warning method and system based on deep learning |
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2019
- 2019-03-22 CN CN201920370225.4U patent/CN209719572U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111243236A (en) * | 2020-01-17 | 2020-06-05 | 南京邮电大学 | Fatigue driving early warning method and system based on deep learning |
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