CN202615569U - Fatigue driving-based detection and prompting apparatus - Google Patents
Fatigue driving-based detection and prompting apparatus Download PDFInfo
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- CN202615569U CN202615569U CN 201220161029 CN201220161029U CN202615569U CN 202615569 U CN202615569 U CN 202615569U CN 201220161029 CN201220161029 CN 201220161029 CN 201220161029 U CN201220161029 U CN 201220161029U CN 202615569 U CN202615569 U CN 202615569U
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Abstract
The utility model relates to a fatigue driving-based detection and prompting apparatus comprising an image acquisition module, an image processing module, a wireless transmission module, a prompting device and a power supply device. The image acquisition module is arranged at a support frame that is arranged in front of a driver's seat in a vehicle; the image processing module is connected with the image acquisition module and carried out processing on image information from the image acquisition module; and one end of the wireless transmission module is connected with the image processing module and the other end thereof is connected with the prompting device. The image acquisition module includes a camera and an optical filter plate that is used for eliminating the influence of natural lights on pictures; and the image processing module consists of a video decoder and a DSP microprocessor. The wireless transmission module employs bluetooth transmission; and an alarm device employs a vibrator that is installed on a safety belt. According to the utility model, an eye state of a driver is detected to determine whether the driver is in a fatigue state or not and the driver can be prompted timely to stake awake, thereby effectively reducing the incidence of traffic accidents due to the fatigue driving.
Description
Technical field
The utility model relates to a kind of fatigue drive prompting device.
Background technology
According to the mass data statistical study; Relevant with fatigue driving every year on average traffic accident reaches 56000 in traffic hazard; Cause 76000 people injured, 1544 people are dead, and this number accounts for 3.7% of traffic hazard total toll; Investigation also finds had the interviewee who experiences that drives to doze to account for 27% of total interviewee's number.The data presentation of traffic hazard both at home and abroad: account for 10% to 25% of sum because of what driver tired driving caused in the road traffic accident; Hence one can see that; Driving fatigue has become one of main reason that causes traffic hazard, and one of inducement that investigation also shows driver's occupational illness also is fatigue driving.
The utility model content
The purpose of the utility model has provided a kind of being easy to and has installed, and cost is lower, can in time remind the driver to keep the detection alarm set based on fatigue driving of regaining consciousness.
The utility model solves the technical scheme that its technical matters adopted: a kind of detection alarm set based on fatigue driving; Mainly comprise image capture module, image processing module, wireless transport module, alarm set and electric supply installation; Image capture module is positioned on the bracing frame in operator's seat of vehicle the place ahead; Image processing module links to each other with image capture module and handles the image information from image capture module; Wireless transport module one end links to each other with image processing module, and the other end connects alarm set.
Image capture module comprises camera and removes the optical filter of natural light to the picture influence.
Image processing module comprises Video Decoder and DSP microprocessor.
Wireless transport module adopts Bluetooth transmission.
Warning device adopts Vib., and Vib. is installed on the securing band.
The course of work of the utility model is: camera collection transfers to image processing module to driver's eye video image, and Video Decoder converts video image DID into and it is stored to the DSP microprocessor and extends out among the SDRAM; The eye image that collects is through the DSP microprocessor processes, and around eyes in the image is chosen the method for certain characteristics point, and employing KLT algorithm is that the image characteristic point track algorithm carries out the track and localization human eye to unique point; The grey level histogram of the eye image that navigates to the template of normally opening eyes compared, and convert DID into, with this data process DSP microprocessor processes through Video Decoder; Calculate the similarity of the two, set the time threshold of closing one's eyes, when similarity during less than certain preset threshold; The judgement eyes are in opens very for a short time or closure state, otherwise eyes are in the state of normally opening, in following period of time; Eyes are in improper when opening state continuously; Then judge this driver tired driving, when judging that acquired signal obtains measured's degree of fatigue greater than setting threshold, just alerting signal is sent to the alarm set that is installed in the securing band through wireless transport module; Vib. vibration this moment; Can remind the driver to concentrate on, safe driving has prevented the traffic hazard that causes because of fatigue driving effectively.
The utility model compared with prior art has following advantage: the eye state through detecting the driver judges whether it is in fatigue state, can in time remind the driver to keep clear-headed, effectively reduces the traffic hazard that produces because of fatigue driving.
Description of drawings
Fig. 1 is the one-piece construction simplified schematic diagram of the utility model.
Fig. 2 is the decomposition texture simplified schematic diagram of the utility model.
Fig. 3 is the Flame Image Process flow process simplified schematic diagram of the utility model.
Embodiment
Like Fig. 1, shown in Figure 2; A kind of detection alarm set based on fatigue driving; Mainly comprise image capture module 1, image processing module 2, wireless transport module 3, alarm set 4 and electric supply installation, image capture module 2 is positioned on the bracing frame in operator's seat of vehicle the place ahead, and image processing module 2 links to each other with image capture module 1 and handles the image information from image capture module 1; Wireless transport module 3 one ends link to each other with image processing module 2, and the other end connects alarm set 4.Image capture module 1 comprises camera and removes the optical filter of natural light to the picture influence; Image processing module 2 comprises Video Decoder and DSP microprocessor; Wireless transport module 3 adopts Bluetooth transmission; Warning device 4 adopts Vib., and Vib. is installed on the securing band.
Target area with camera in the image capture module 1 schedules human eye; Avoided deciding in the classic method complex process that people's face is looked for human eye; Utilize optical filter to remove natural light, to different analog video images, convert camera acquisition into digital picture through Video Decoder; DID after will changing then stores the DSP microprocessor into and extends out among the SDRAM, and with the external program memory of FLASH as system.
As shown in Figure 3, in image processing module 2, after the energized; The DSP microprocessor starts, and is loaded into the program among the FLASH in the internal RAM through bootstrap routine and moves, and calls the DID that receives; Data are handled, and image processing module 2 is that the eye image that collects is passed through the DSP microprocessor processes, around eyes in the image is chosen the method for certain characteristics point; Adopting the KLT algorithm is that the image characteristic point track algorithm carries out the track and localization human eye to unique point, then the grey level histogram of the eye image that navigates to the template of normally opening eyes is compared, and calculates the similarity of the two; When similarity during less than certain preset threshold; Think that eyes are in and open very for a short time or closure state, otherwise eyes are in the state of normally opening, in following period of time; When eyes are in abnomal condition continuously, then judge this driver fatigue.
The computing method of two width of cloth image similarities are:
V
iBe the matrix that obtains according to image grey level histogram; || V
i|| 2 is matrix V
iNorm; a
IjSimilarity for the image and first sub-picture.a
IjBe worth greatly more, two width of cloth images are just similar more, when template and picture to be measured are just the same; Similarity is 1, can set an appropriate threshold T according to a large amount of experiments, in test; Choose several (being no less than 20) eyes and roughly be in the picture of partly opening state; Calculate their similarity respectively, calculate the mean value of these similarities then, this mean value promptly can be used as threshold value T.Similarity is during greater than this fault value, and eyes are in the state of normally opening, otherwise eyes closed or open very little.Judge in the width of cloth picture behind the eye state with said method, judge again eyes be in closure continuously or open the frequency n of very little state, show through a large amount of experiments; When the eyes closed time surpasses 2.5s; This driver is in fatigue state, if the frame number that 2.5s is corresponding in the video is N, so; When n < during N, continues to judge the next frame picture; Otherwise, when acquired signal obtains frame number greater than N, judge driver fatigue, this moment, bluetooth transferred to alarm set 4 with signal, and the Vib. vibration reminds the driver to concentrate on.
Claims (5)
1. detection alarm set based on fatigue driving; It is characterized in that: mainly comprise image capture module, image processing module, wireless transport module, alarm set and electric supply installation; Image capture module is positioned on the bracing frame in operator's seat of vehicle the place ahead; Image processing module links to each other with image capture module and handles the image information from image capture module, and wireless transport module one end links to each other with image processing module, and the other end connects alarm set.
2. a kind of detection alarm set based on fatigue driving according to claim 1 is characterized in that: image capture module comprises camera and removes the optical filter of natural light to the picture influence.
3. a kind of detection alarm set based on fatigue driving according to claim 1, it is characterized in that: image processing module comprises Video Decoder and DSP microprocessor.
4. a kind of detection alarm set based on fatigue driving according to claim 1 is characterized in that: wireless transport module adopts Bluetooth transmission.
5. a kind of detection alarm set based on fatigue driving according to claim 1 is characterized in that: warning device adopts Vib., and Vib. is installed on the securing band.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220161029 CN202615569U (en) | 2012-04-17 | 2012-04-17 | Fatigue driving-based detection and prompting apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN 201220161029 CN202615569U (en) | 2012-04-17 | 2012-04-17 | Fatigue driving-based detection and prompting apparatus |
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| CN202615569U true CN202615569U (en) | 2012-12-19 |
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| CN 201220161029 Expired - Fee Related CN202615569U (en) | 2012-04-17 | 2012-04-17 | Fatigue driving-based detection and prompting apparatus |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103505225A (en) * | 2013-09-17 | 2014-01-15 | 江苏安嘉尔智能科技有限公司 | Driving comfort degree stimulation system with self-adjusting alarming sensitivity |
| CN103879348A (en) * | 2012-12-20 | 2014-06-25 | 大陆汽车投资（上海）有限公司 | Steering warning method and steering warning device |
| CN104477123A (en) * | 2014-12-25 | 2015-04-01 | 东风汽车公司 | Intelligent and auxiliary connected drive early warning control method for automobile |
| CN105243790A (en) * | 2015-11-13 | 2016-01-13 | 清华大学苏州汽车研究院（吴江） | Safety belt vibration fatigue early-warning system based on wireless communication |
| CN106096575A (en) * | 2016-06-24 | 2016-11-09 | 苏州大学 | A kind of driving states monitoring method and system |
-
2012
- 2012-04-17 CN CN 201220161029 patent/CN202615569U/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103879348A (en) * | 2012-12-20 | 2014-06-25 | 大陆汽车投资（上海）有限公司 | Steering warning method and steering warning device |
| CN103879348B (en) * | 2012-12-20 | 2016-12-28 | 大陆汽车投资（上海）有限公司 | Turn to alarm method and device |
| CN103505225A (en) * | 2013-09-17 | 2014-01-15 | 江苏安嘉尔智能科技有限公司 | Driving comfort degree stimulation system with self-adjusting alarming sensitivity |
| CN104477123A (en) * | 2014-12-25 | 2015-04-01 | 东风汽车公司 | Intelligent and auxiliary connected drive early warning control method for automobile |
| CN105243790A (en) * | 2015-11-13 | 2016-01-13 | 清华大学苏州汽车研究院（吴江） | Safety belt vibration fatigue early-warning system based on wireless communication |
| CN106096575A (en) * | 2016-06-24 | 2016-11-09 | 苏州大学 | A kind of driving states monitoring method and system |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20121219 Termination date: 20130417 |