CN205608963U - Vehicle buffer stop based on machine vision - Google Patents
Vehicle buffer stop based on machine vision Download PDFInfo
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- CN205608963U CN205608963U CN201620392000.5U CN201620392000U CN205608963U CN 205608963 U CN205608963 U CN 205608963U CN 201620392000 U CN201620392000 U CN 201620392000U CN 205608963 U CN205608963 U CN 205608963U
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- machine vision
- vehicle
- control module
- data processing
- fatigue
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Abstract
The utility model discloses a vehicle buffer stop based on machine vision, including being used for gathering driver's facial image and a plurality of cameras of vehicle ambient conditions, the video capture card who connects a plurality of cameras, vehicle GPS tachymeter, reduction gear, machine vision range finding information processor and tired data processing control module, alarm unit and remote monitoring unit are all connected simultaneously to wherein machine vision range finding information processor and tired data processing control module, video capture card is connected to tired data processing control module, and machine vision range finding information processor connects video capture card, vehicle GPS tachymeter and reduction gear are still connected simultaneously to tired data processing control module. The utility model discloses an above -mentioned principle, navigating mate's the tired information and the blind area condition not only can be monitored to the quick accuracy of processing data, can also be in at the vehicle and carry out braking deceleration under the emergency situation, avoid because the improper traffic accident that causes of speed of a motor vehicle control.
Description
Technical field
This utility model relates to early warning field, is specifically related to Collipsion preventor based on machine vision.
Background technology
In the world, fatigue driving and mass transit vehicle due to traffic complex, big by tonnage, car body is huge,
Limited view, vehicle accidents is the main cause of traffic fatalities to have the impact of the factors such as blind area to occur.The most
Research shows, causes in the even dead accident of personal injury 20% to be above being caused by fatigue driving.Driver is tired
Lao Shi, the manipulation ability of vehicle to perception, the situation judgement of surrounding and all will be greatly lowered, easily by it
There is vehicle accident.It addition, human pilot limited view, have blind area in the case of be also susceptible to vehicle accident.The most right
It is engaged in the professional driver of passenger on long-distance routes's shipping driving, railway locomotive driving, engineering truck driving etc., due to long-time, super-strength
Driving task, it is easier to fatigue driving accident occurs.Fatigue state and the solution of detection driver the most actively are big
Type haulage vehicle limited view and the situation of blind area, when causing danger situation, human pilot takes deceleration measure the most in time
Time can be in time to vehicle deceleration, it is to avoid due to speed control the improper security incident caused.
Utility model content
This utility model overcomes the deficiencies in the prior art, it is provided that Collipsion preventor based on machine vision, this device
Process data quick and precisely, tired information and the blind area situation of human pilot can not only be monitored, moreover it is possible to be in danger at vehicle
Deceleration it is braked, it is to avoid owing to speed controls the improper vehicle accident caused in the case of urgency.
For solving above-mentioned technical problem, this utility model by the following technical solutions: vehicle based on machine vision is prevented
Collision device, including face-image and vehicle periphery situation for gathering driver multiple photographic head, connect multiple photographic head
Video frequency collection card, vehicle GPS tachymeter, decelerator, machine vision ranging information processor and fatigue data processing controls mould
Block, machine vision ranging information processor therein and fatigue data processing and control module are all simultaneously connected with alarm unit with long-range
Monitoring unit；Described for gather face-image process and use based on machine vision analyze method be calculated tired
The fatigue data processing and control module of labor condition discrimination index connects video frequency collection card, utilizes the vehicle periphery situation map picture gathered
Carry out the machine vision ranging information processor for Road Detection, target recognition and range measurement and connect video frequency collection card；Described
Fatigue data processing and control module is also simultaneously connected with vehicle GPS tachymeter and decelerator.
The face-image of the human pilot that fatigue data processing and control module is passed over by video frequency collection card, utilizes existing
The technology analyzing method calculating fatigue state discriminant criterion based on machine vision having, thus judge that driver is the most tired.Should
Technology is technology conventional in current recognition of face fatigue detecting system, and the Chinese invention such as Publication No. CN101593425A is special
Profit just proposes such fatigue detecting technology.If tired situation occurs, pass information to alarm unit, pass through alarm unit
Early warning human pilot, there is fatigue driving, passes it to remote monitoring unit simultaneously and store and monitor in prevention, side
Phase centralized management after an action of the bowels.Owing to Large freight vehicle volume is relatively big, only it is easy to that observation occurs by human pilot perusal
Blind area, and the road condition information that machine vision ranging information processor can be collected by video frequency collection card, it is achieved to road
Road detection, vehicle periphery target recognition and and vehicle periphery target between range measurement, if danger occurs, information is anti-
Feed alarm unit warning reminding human pilot and be sent to observe monitoring unit storage and management, should during have employed multiple
Photographic head, by photographic head being arranged on the front of vehicle, left back, right back, measurement both sides and other blind spot region, from
And clear away blind spot, maximized vehicle and the surrounding objects of avoiding the occurrence of collides event, is highly suitable for Large freight vehicle
Upper use.In vehicle operation, the generation of security incident often has only to the time of several seconds together, to driving in this programme
Single processor is all used in the monitoring sailing personnel's fatigue driving and the monitoring that vehicle is likely to occur collision in the process of moving
Carrying out data process, both operations are independent of each other, and are complementary to one another, and substantially increase the speed processing data, for human pilot
Strive for valuable time, greatly reduce driving risk.This device can not only realize the monitoring to fatigue driving, moreover it is possible to
Driver and crew are carried out many protections by the collision free of bigization, increase the protection to driver and crew.In fatigue
The vehicle GPS tachymeter connected in data processing and control module can detect the vehicle speed condition of vehicle at any time and pass to tired number
According to processing and control module, if Vehicle Speed exceedes setting value, then the alarm of alarm unit can occur, and the most also can utilize
Fatigue data processing and control module acts on decelerator, allows vehicle deceleration, it is to avoid cause not in time owing to human pilot slows down
The vehicle accident that speed is too fast and causes occurs.It addition, collect threat data letter for machine vision ranging information processor
Cease by alarm unit to human pilot early warning after, but human pilot does not make corresponding reaction, and now alarm unit is then
This information can feed back to fatigue data processing and control module act on decelerator vehicle is carried out deceleration-operation, be further ensured that
Driving safety.
Described fatigue data processing and control module is also connected with GPS and positions terminal.Vehicle position information can be positioned,
And by this information by communication network transmission to remote monitoring unit, facilitate the later stage that vehicle is carried out orientation management.
Described fatigue data processing and control module includes for sentencing based on machine vision analysis method calculating fatigue state
Dsp processor that other index and car speed monitoring control and for controlling the arm processor of the output of giving fatigue pre-warning.In order to
Ensure the accurate of fatigue driving data, it usually needs analyzing substantial amounts of data to determine whether fatigue driving, therefore this place sets
Putting two processors to process different data respectively, further raising processes data capability and accuracy, it is ensured that drive
Take advantage of the safety of personnel.
Described alarm unit includes audition prior-warning device, vision prior-warning device, sense of touch prior-warning device and alarm.To driving
The mode that personnel use the various ways such as audition, vision, sense of touch and audible alarm to combine can adapt to the need of different types of people
Want, reach the purpose that human pilot can quickly be found.
Described remote monitoring unit includes interconnective controller and display.
Described machine vision ranging information processor is arm processor.
The plurality of photographic head is all with light compensating lamp.Being also to collect image clearly at night, it is ensured that
Whole analysis result accurate.
Compared with prior art, the beneficial effects of the utility model are:
1, to the monitoring of human pilot fatigue driving and vehicle to be likely to occur in the process of moving collision in this programme
Monitoring all carry out data process with single processor, both operations are independent of each other, and are complementary to one another, and substantially increase process
The speed of data, has striven for valuable time for human pilot, greatly reduces driving risk.
2, the vehicle GPS tachymeter connected in fatigue data processing and control module can detect the speed feelings of vehicle at any time
Condition also passes to fatigue data processing and control module, if Vehicle Speed exceedes setting value, then and the alarm meeting of alarm unit
Occur, fatigue data processing and control module the most also can be utilized to act on decelerator, allow vehicle deceleration, it is to avoid due to human pilot
The vehicle accident that deceleration causes speed too fast and causes not in time occurs.
3, threat data information is collected by alarm unit to human pilot for machine vision ranging information processor
After early warning, but human pilot does not make corresponding reaction, and now this information then can be fed back to fatigue data by alarm unit
Processing and control module acts on decelerator and vehicle is carried out deceleration-operation, further ensures driving safety.
Accompanying drawing explanation
Fig. 1 is theory diagram of the present utility model.
Detailed description of the invention
Being further elaborated this utility model below in conjunction with the accompanying drawings, embodiment of the present utility model is not limited to this.
Embodiment 1:
As it is shown in figure 1, this utility model includes the multiple of the face-image for gathering driver and vehicle periphery situation
Photographic head, connect the video frequency collection card of multiple photographic head, vehicle GPS tachymeter, decelerator, machine vision ranging information processor
With fatigue data processing and control module, machine vision ranging information processor therein and fatigue data processing and control module all with
Time connect alarm unit and remote monitoring unit；It is described for the face-image gathered is processed and uses and regards based on machine
Feeling that analysis method is calculated the fatigue data processing and control module connection video frequency collection card of fatigue state discriminant criterion, utilization is adopted
The vehicle periphery situation map picture of collection carrys out the machine vision ranging information processor for Road Detection, target recognition and range measurement
Connect video frequency collection card；Described fatigue data processing and control module is also simultaneously connected with vehicle GPS tachymeter and decelerator.
The face-image of the human pilot that fatigue data processing and control module is passed over by video frequency collection card, utilizes existing
The technology analyzing method calculating fatigue state discriminant criterion based on machine vision having, thus judge that driver is the most tired.Should
Technology is technology conventional in current recognition of face fatigue detecting system, and the Chinese invention such as Publication No. CN101593425A is special
Profit just proposes such fatigue detecting technology.If tired situation occurs, pass information to alarm unit, pass through alarm unit
Early warning human pilot, there is fatigue driving, passes it to remote monitoring unit simultaneously and store and monitor in prevention, side
Phase centralized management after an action of the bowels.Owing to Large freight vehicle volume is relatively big, only it is easy to that observation occurs by human pilot perusal
Blind area, and the road condition information that machine vision ranging information processor can be collected by video frequency collection card, it is achieved to road
Road detection, vehicle periphery target recognition and and vehicle periphery target between range measurement, if danger occurs, information is anti-
Feed alarm unit warning reminding human pilot and be sent to observe monitoring unit storage and management, should during have employed multiple
Photographic head, by photographic head being arranged on the front of vehicle, left back, right back, measurement both sides and other blind spot region, from
And clear away blind spot, maximized vehicle and the surrounding objects of avoiding the occurrence of collides event, is highly suitable for Large freight vehicle
Upper use.In vehicle operation, the generation of security incident often has only to the time of several seconds together, to driving in this programme
Single processor is all used in the monitoring sailing personnel's fatigue driving and the monitoring that vehicle is likely to occur collision in the process of moving
Carrying out data process, both operations are independent of each other, and are complementary to one another, and substantially increase the speed processing data, for human pilot
Strive for valuable time, greatly reduce driving risk.This device can not only realize the monitoring to fatigue driving, moreover it is possible to
Driver and crew are carried out many protections by the collision free of bigization, increase the protection to driver and crew.At tired number
The vehicle speed condition of vehicle can be detected according to the vehicle GPS tachymeter connected in processing and control module at any time and pass to fatigue data
Processing and control module, if Vehicle Speed exceedes setting value, then the alarm of alarm unit can occur, and the most also can utilize tired
Labor data processing and control module acts on decelerator, allows vehicle deceleration, it is to avoid cause car not in time owing to human pilot slows down
The vehicle accident that speed is too fast and causes occurs.It addition, collect threat data information for machine vision ranging information processor
By alarm unit to human pilot early warning after, but human pilot does not make corresponding reaction, and now alarm unit then can
This information feeds back to fatigue data processing and control module act on decelerator vehicle is carried out deceleration-operation, further ensure
Driving safety.
Embodiment 2:
The present embodiment is preferably as follows on the basis of embodiment 1: it is fixed that described fatigue data processing and control module is also connected with GPS
Position terminal.Vehicle position information can be positioned, and this information be passed through communication network transmission to remote monitoring unit, side
Phase carries out orientation management to vehicle after an action of the bowels.
Fatigue data processing and control module includes for analyzing method calculating fatigue state discriminant criterion based on machine vision
The dsp processor controlled with car speed monitoring and the arm processor being used for controlling the output of giving fatigue pre-warning.
In order to ensure the Monitoring and Controlling accurately and to vehicle out of Memory of fatigue driving data, it usually needs analyze big
The data of amount determine whether fatigue driving, and therefore this place arranges two processors and comes at respectively to different data
Reason, further raising processes data capability and accuracy, it is ensured that the safety of driver and crew.
Described alarm unit includes audition prior-warning device, vision prior-warning device, sense of touch prior-warning device and alarm.To driving
The mode that personnel use the various ways such as audition, vision, sense of touch and audible alarm to combine can adapt to the need of different types of people
Want, reach the purpose that human pilot can quickly be found.
Described remote monitoring unit includes interconnective controller and display.Utilize controller that the data received are entered
Row storage management also shows over the display, facilitates management personnel to consult.
Described machine vision ranging information processor is arm processor.
The plurality of photographic head is all with light compensating lamp.Being also to collect image clearly at night, it is ensured that
Whole analysis result accurate.
Just this utility model can be realized as mentioned above.
Claims (7)
1. Collipsion preventor based on machine vision, it is characterised in that: include the face-image for gathering driver and car
Multiple photographic head of ambient conditions, connect the video frequency collection card of multiple photographic head, vehicle GPS tachymeter, decelerator, machine regard
Feel ranging information processor and fatigue data processing and control module, machine vision ranging information processor therein and fatigue data
Processing and control module is all simultaneously connected with alarm unit and remote monitoring unit；It is described for the face-image gathered is processed
And use the fatigue data processing and control module connection being calculated fatigue state discriminant criterion based on machine vision analysis method
Video frequency collection card, utilizes the vehicle periphery situation map picture gathered to carry out the machine for Road Detection, target recognition and range measurement
Visual token message handler connects video frequency collection card；Described fatigue data processing and control module is also simultaneously connected with vehicle GPS and surveys
Speed instrument and decelerator.
Collipsion preventor based on machine vision the most according to claim 1, it is characterised in that: at described fatigue data
Reason control module is also connected with GPS and positions terminal.
Collipsion preventor based on machine vision the most according to claim 1, it is characterised in that: described fatigue data
Processing and control module includes for analyzing method calculating fatigue state discriminant criterion and car speed monitoring control based on machine vision
The dsp processor made and the arm processor being used for controlling the output of giving fatigue pre-warning.
Collipsion preventor based on machine vision the most according to claim 1, it is characterised in that: described alarm unit bag
Include audition prior-warning device, vision prior-warning device, sense of touch prior-warning device and alarm.
Collipsion preventor based on machine vision the most according to claim 1, it is characterised in that: described long-range monitoring list
Unit includes interconnective controller and display.
Collipsion preventor based on machine vision the most according to claim 1, it is characterised in that: described machine vision is surveyed
It is arm processor away from message handler.
Collipsion preventor based on machine vision the most according to claim 1, it is characterised in that: the plurality of photographic head
All with light compensating lamp.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620392000.5U CN205608963U (en) | 2016-05-04 | 2016-05-04 | Vehicle buffer stop based on machine vision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620392000.5U CN205608963U (en) | 2016-05-04 | 2016-05-04 | Vehicle buffer stop based on machine vision |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN205608963U true CN205608963U (en) | 2016-09-28 |
Family
ID=56968259
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201620392000.5U Expired - Fee Related CN205608963U (en) | 2016-05-04 | 2016-05-04 | Vehicle buffer stop based on machine vision |
Country Status (1)
| Country | Link |
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| CN (1) | CN205608963U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105741496A (en) * | 2016-05-04 | 2016-07-06 | 成都贝森伟任科技有限责任公司 | Vehicle anti-collision terminal based on machine vision |
| CN106558190A (en) * | 2016-12-06 | 2017-04-05 | 天津泓耘财科技发展有限公司 | A kind of motor vehicles fatigue driving prewarning monitoring system |
| CN109961611A (en) * | 2019-03-14 | 2019-07-02 | 钧捷智能（深圳）有限公司 | Long-range command system and its application method based on driver fatigue monitor system |
-
2016
- 2016-05-04 CN CN201620392000.5U patent/CN205608963U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105741496A (en) * | 2016-05-04 | 2016-07-06 | 成都贝森伟任科技有限责任公司 | Vehicle anti-collision terminal based on machine vision |
| CN106558190A (en) * | 2016-12-06 | 2017-04-05 | 天津泓耘财科技发展有限公司 | A kind of motor vehicles fatigue driving prewarning monitoring system |
| CN109961611A (en) * | 2019-03-14 | 2019-07-02 | 钧捷智能（深圳）有限公司 | Long-range command system and its application method based on driver fatigue monitor system |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20160928 Termination date: 20170504 |