CN103198617A - Fatigue driving warning system - Google Patents
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- CN103198617A CN103198617A CN2013100979402A CN201310097940A CN103198617A CN 103198617 A CN103198617 A CN 103198617A CN 2013100979402 A CN2013100979402 A CN 2013100979402A CN 201310097940 A CN201310097940 A CN 201310097940A CN 103198617 A CN103198617 A CN 103198617A
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Abstract
The invention discloses a fatigue driving warning system and belongs to the technical field of vehicle traffic control. The fatigue driving warning system comprises a sensor, an ARM microprocessor, a warning module, a wireless communication module and an upper computer, wherein the sensor is arranged on a vehicle terminal, the sensor is connected with the ARM microprocessor, the ARM microprocessor is connected sequentially with the wireless communication module and the upper computer, and the warning module is connected with the ARM microprocessor. A wireless communication technique and an ARM microprocessor controlling technique are combined and adopted, the fatigue driving warning system not only saves installation of communication cables and reduces installation engineering quantity, but also achieves data transmission and network interconnection safely and reliably, further improves accuracy of fatigue driving judgement, is suitable for vehicle-mounted operation and good in expansibility, and effectively improves accuracy of fatigue judgement and robustness of the system, thereby lowering an accident occurrence rate caused by fatigue driving and improving a warning function.
Description
Technical field
The present invention relates to a kind of fatigue driving caution system, relate in particular to a kind of fatigue driving caution system based on the GSM/GPRS/3G network, belong to the technical field of vehicular traffic control.
Background technology
Fast development along with car industry, associated traffic hazard is also being increased fast, and in these accidents, the traffic hazard that fatigue driving causes accounts for 16% of sum, on highway, surpassed 20% especially, therefore developed emphasis and difficult point that fatigue driving prevention and warning device become current fatigue driving research.Appearance and development along with new technology, existing fatigue driving caution system has following characteristic: monitoring mode is owing to the single system performance that causes is not good enough, and the expansion of system is subjected to the restriction of each side such as the wiring of vehicle body space, cost, therefore it is low to monitor efficient, the caution poor effect fails well to reduce the traffic hazard because of the fatigue initiation.
Summary of the invention
Technical matters to be solved by this invention is to overcome the deficiencies in the prior art, a kind of fatigue driving system that combines with the information fusion decision-making technic Network Based is provided, utilize characteristics such as the GSM/GPRS/3G technology is wireless, safe, reliable, low-power consumption, with the combination with it of ARM microprocessor control technology, be incorporated in the design of vehicle fatigue driving caution system, not only can save the installation of telecommunication cable, reduce the installation work amount, data transmission and the network interconnection can also be realized safely and reliably, the accuracy that fatigue driving is judged can be further improved.
The present invention specifically solves the problems of the technologies described above by the following technical solutions:
A kind of fatigue driving caution system comprises sensor, ARM microprocessor, alarm module, wireless communication module, host computer, and wherein sensor is arranged on the vehicle termination, and sensor is connected with the ARM microprocessor; Described ARM microprocessor and wireless communication module, host computer interconnect successively, and described alarm module is connected with the ARM microprocessor; Transfer to by the information on the described sensor collection vehicle terminal and with the information that collects that the ARM microprocessor is handled and tired judge, the ARM microprocessor transfers to wireless communication module with this judged result, and wireless communication module is sent to host computer according to the fatigue driving result who judges by radio communications gateway; Described host computer is monitored vehicle termination after receiving above-mentioned fatigue driving result, and return monitor command to wireless communication module by radio communications gateway, wireless communication module transfers to the ARM microprocessor after receiving this order, and ARM microprocessor control alarm module sends caution.
As a kind of optimal technical scheme of the present invention: described wireless communication module comprises GSM/GPRS module or 3G module.
As a kind of optimal technical scheme of the present invention: also comprise a GPS locating module, described GPS locating module is connected with the ARM microprocessor.
As a kind of optimal technical scheme of the present invention: comprise that also one is used for the storer of the storage cart trade mark, described storer is connected with the ARM microprocessor.
As a kind of optimal technical scheme of the present invention: also comprise a brain wave tester, described brain wave tester is connected with the ARM microprocessor.
As a kind of optimal technical scheme of the present invention: also comprise a DSP image processing module, the DSP image processing module is connected between sensor and the ARM microprocessor; Described sensor comprises an infrared camera and LED lamp, by the facial image information of driver in infrared camera and the LED lamp collection vehicle terminal, the image information of gathering is transferred to the DSP image processing module handle.
As a kind of optimal technical scheme of the present invention: the spectrum of described LED lamp comprises 850nm and 950nm.
As a kind of optimal technical scheme of the present invention: described sensor comprises that one is used for the CCD camera of the lane shift information of collection vehicle terminal, and described CCD camera is connected with the ARM microprocessor.
As a kind of optimal technical scheme of the present invention: described alarm module comprises an audio alert prompting device, and described audio alert prompting device is connected with the ARM microprocessor.
The technique effect that the present invention adopts technique scheme to produce is as follows:
Fatigue monitoring caution system based on wireless network provided by the invention, utilize characteristics such as the GSM/GPRS/3G technology is wireless, safe, reliable, low-power consumption, with the combination with it of ARM microprocessor control technology, have following technique effect: (1) has adopted the GSM/GPRS/3G technology, has avoided the problem of vehicle body wiring cost height and serious interference; (2) adopted multi-sensor information fusion technology, analysis decision tired driver behavior preferably further improves the accuracy that fatigue driving is judged.Therefore, realized the fatigue monitoring system that the GSM/GPRS/3G network combines with multi-sensor fusion technology, be suitable for on-board running and favorable expandability, improve the robustness of the tired accuracy of judging and enhancing system effectively, monitoring effect is good, strengthen alarm function, have certain experiences meaning and application promise in clinical practice based on the fatigue drive of car monitoring system of GSM/GPRS/3G technology to reducing the traffic hazard that causes because of fatigue.
Description of drawings
Fig. 1 is the module diagram of a kind of fatigue monitoring caution system of the present invention.
Fig. 2 is the synoptic diagram of the vehicle termination of a kind of fatigue monitoring caution system of the present invention.
Fig. 3 is the overall schematic of a kind of fatigue monitoring caution system of the present invention.
Embodiment
As shown in Figure 1, the invention provides a kind of fatigue driving caution system, comprise sensor, ARM microprocessor, alarm module, wireless communication module, host computer, wherein sensor is arranged on the vehicle termination, and sensor is connected with the ARM microprocessor; Described ARM microprocessor and wireless communication module, host computer interconnect successively, and described alarm module is connected with the ARM microprocessor; Transfer to by the information on the described sensor collection vehicle terminal and with the information that collects that the ARM microprocessor is handled and tired judge, the ARM microprocessor transfers to wireless communication module with this judged result, and wireless communication module is sent to host computer according to the fatigue driving result who judges by radio communications gateway; Described host computer is monitored vehicle termination after receiving above-mentioned fatigue driving result, and return monitor command to wireless communication module by radio communications gateway, wireless communication module transfers to the ARM microprocessor after receiving this order, and ARM microprocessor control alarm module sends caution.
In addition, described wireless communication module comprises GSM/GPRS module or 3G module.Also comprise a brain wave tester, described brain wave tester is connected with the ARM microprocessor; Can also comprise GPS locating module and storer, described GPS locating module, storer are connected with the ARM microprocessor respectively.Can also adopt a DSP image processing module, the DSP image processing module is connected between sensor and the ARM microprocessor, described sensor comprises an infrared camera and LED lamp, by the facial image information of driver in infrared camera and the LED lamp collection vehicle terminal, the image information of gathering is transferred to the DSP image processing module handle.
The present invention constitutes network by GSM/GPRS/3G gateway and each GSM/GPRS/3G module, sensor, ARM microprocessor, GPS locating module, voice reminder circuit, license plate number storer, brain wave tester etc., as shown in Figures 2 and 3, middle GSM/GPRS/3G gateway is responsible for initiating and maintaining network, and give the fusion that patrol police's host computer finishes information decision-making with the information of collecting, by processor tired judged result is fed back to attention device again, thereby reduce the networking complexity of total system.
Original image is collected at eyes frequency detecting, eyes closed time detecting, this 3 place of yawning earlier by sensor information, the information of face being passed to the DSP image processing module goes to handle again, obtain tired information, to gather the result transmission of signal processing at last and give the GSM/GPRS/3G module, mc52i module as Siemens Company, power consumption is lower, requires long battery life relatively to be fit to for onboard system.And the detection of deviation also can be carried out, and information all sends to the GSM/GPRS/3G gateway by the GSM/GPRS/3G module at last.
The GSM/GPRS/3G gateway is responsible for networking and each end sensor of management, the GSM gateway is realized VoIP system and the particularly interconnection of second generation mobile communication system GSM of cordless communication network, the GPRS GPRS (General Packet Radio Service), be a kind of wireless, packet-switched technology based on gsm system, provide end to end, wireless IP connects.Generally, GPRS is the technology that high-speed data is handled, and method is that the form transmission data with " grouping " arrives the user on hand.3G network then is in order to make transmission more stable, and is quick.
The information that sensor node is sent is not handled and preserved to the GSM/GPRS/3G gateway, and it is directly given tired information patrol police's host computer and handles, like this GSM/GPRS/3G gateway supervising the network better.Processor in the host computer is responsible for realizing the fusion judgement of a plurality of fatigue characteristics.This model is with GGSM/GPRS/3G module and the unified design of signal gathering node (GSM/GPRS/3G gateway), and the GSM/GPRS/3G module is responsible for and communicating by letter of each terminal device and communicating by letter of outer net.If tired driver driving situation is serious, when being easy to cause traffic hazard, by ARM microprocessor control voice broadcast circuit the driver is carried out the audio alert prompting, if warning message is not received by the driver, the ARM microprocessor will read this car license plate number from the license plate number storer, locate this car position by GPS, and by the GSM/GPRS/3G module these information are sent to the GSM/GPRS/3G gateway, mail to the vehicle monitoring management center then, the vehicle monitoring center is sent instruction and is given cruiser, go to follow the trail of, break rules and regulations to handle.
Generally, brain wave is cerebral cortex neurocyte cluster electrical activity and the electricity physiological signal that produces, generally at several microvolts between the hundreds of microvolt.Brain wave is divided into δ by the wave component of various rhythmicity according to the frequency difference, θ, and α, the β ripple, its frequency is respectively 0.5~4.0,4.0~8.0,8.0~14.0,14.0~30.0 Hz.Wherein α, β ripple belong to the fast wave in the brain wave, and the α ripple is that the adult awakens and quiet normal waveform when closing order, when the β ripple occurs in people and is in vigilance and notes outside stimulus; δ, the θ ripple belongs to the slow wave in the brain wave, improves in their the one-tenth branch of sleep period of normal adult.Brain wave tester of the present invention is for detection of driver's EEG signals, the signal of gathering compares with the brain wave of this driver's normal condition that prestores, draw and whether may have fatigue, as one of basis for estimation of information fusion decision system, judge whether the driver exists driving fatigue then.Namely gather driver's eeg signal by the brain wave tester, pass through amplifying circuit, filtering circuit then, pass through the ARM microprocessor processes again, can begin to gather from engine ignition, then the certain interval of time collection once and storage once, EEG signals can be decomposed into 4 basilic rhythms, it is the α ripple, the β ripple, δ ripple, θ ripple.The energy of these 4 rhythm and pace of moving things can change along with the variation of fatigue state.When α ripple and β ripple are dominant advantage, show that people's consciousness is regained consciousness; And when θ ripple and δ ripple account for dominant advantage, then shown the appearance of people's clouding of consciousness even slight sleep.With this collection and comparison last stored, as long as δ in the brain wave, the composition of θ ripple is not obvious rising, just illustrates that this driver does not enter fatigue driving, if δ, the θ wave component has obviously risen, and just can tentatively judge to have entered fatigue driving.
The image of driver's face obtains by infrared camera and LED, and the LED that wherein is used for illumination can send the light that spectrum is respectively 850nm and 950nm.When using the Different Red external spectrum, people's eye pupil can present different colours.When with the 850nm infrared illumination time, people's pupil presents redness, i.e. red-eye effect; And with the 950nm infrared illumination time, people's pupil but presents black.Two width of cloth images are except pupil, and other position of face all is the same.By comparing this two width of cloth image, can be easy to navigate to eye then, handle to obtain facial parameter by a series of image again and follow the tracks of with the realization eye.In addition, use infrared LED when picture quality is guaranteed in the interference of minimizing ambient light, also can reduce the interference to driver's vision, because the light people that it sends almost can't see.
Adopt the infrared photography head unit, in the time of incident illumination auto levelizer intermediate section mating plate, can be with parallel two bundles that are divided into of incident ray, the optical filter of process 850nm and 950nm enters into camera respectively again, two width of cloth images that obtain at synchronization are except the pupil color difference like this, other all be the same.In order in the limited time, to finish the processing of great amount of images data, the DSP image processing module can adopt the TMS320DM642 of TI company, its image processing speed can reach more than per second 25 frames, just can in 40ms, finish the calculation process to a two field picture, adding camera is PAL-system per second 25 frames, these equipment are enough finished real-time image and are handled, finish to driver's frequency of wink accelerate, eyes closed is slow, extraction, calculating and the analysis of yawning fatigue characteristic.
Lane shift detects the tired sign that the driver is reacted in the behavior that is based on vehicle indirectly.Can be with the CCD camera towards vehicle traveling direction, the normal travel direction of monitor vehicle is monitored steering indicating light simultaneously.Steering indicating light is not opened if automobile steering changes, and thinks that then the driver has the possibility of the fatigue driving of entering.The detection of vehicle behavior is not based on artificial performance activity, like this can the complementary facial deficiency that detects and artificial difference, not because tired but because other factors (as mobile phone) causes absent mindedly wrongheaded the time, can give certain prompting the driver simultaneously yet.
Can be a minor cycle with 120ms, the technical image that can collect a frame in 40ms, 80ms thereafter are used for image to be handled, and has the image of 500 frames like this in one minute.Analyze driver's tired situation by these images.According to the ergonomics principle, when fatigue appears in human body, frequency of wink can be than just often obviously accelerating in certain time period, and this is that the driver attempts to keep the reaction of regaining consciousness when fatigue, enters more profound the feature that required time of eyes closed lengthens will occur when tired.Eyes one are opened the process of closing when clear-headed only needs several frames to the time (in 0.3 second) of tens frames, then needs 20 frames or one to two second when tired; The vertical radius of mouth can significantly strengthen in the time of yawning.Can gather the frequency of wink of driver normal the time earlier, eyes closed time and mouth information once, and then compare with situation about taking place tired the time, judge degree of fatigue with this.Can adopt fuzzy logic method to come the information that collects is merged decision-making.Such as: receive only frequency of wink, time nictation when having fatigue unusual, these several modes can be merged, merging the back accuracy obviously can improve, in like manner, when occurred yawning, fatigue characteristic such as track route skew the time, also can adopt to use the same method and merge, the accuracy of total system can reach more than 95%.
The present invention has adopted the GSM/GPRS/3G technology, has avoided the problem of vehicle body wiring cost height and serious interference, has also adopted multi-sensor information fusion technology, preferably the behavior of analysis decision tired driver.Therefore, realized that the GSM/GPRS/3G network combines with multi-sensor fusion technology, be suitable for on-board running and favorable expandability, improved the robustness of the tired accuracy of judging and enhancing system effectively, thereby reduce the accident rate that fatigue driving causes, strengthen alarm function.
Claims (9)
1. fatigue driving caution system, it is characterized in that: comprise sensor, ARM microprocessor, alarm module, wireless communication module, host computer, wherein sensor is arranged on the vehicle termination, and sensor is connected with the ARM microprocessor; Described ARM microprocessor and wireless communication module, host computer interconnect successively, and described alarm module is connected with the ARM microprocessor; Transfer to by the information on the described sensor collection vehicle terminal and with the information that collects that the ARM microprocessor is handled and tired judge, the ARM microprocessor transfers to wireless communication module with this judged result, and wireless communication module is sent to host computer according to the fatigue driving result who judges by radio communications gateway; Described host computer is monitored vehicle termination after receiving above-mentioned fatigue driving result, and return monitor command to wireless communication module by radio communications gateway, wireless communication module transfers to the ARM microprocessor after receiving this order, and ARM microprocessor control alarm module sends caution.
2. a kind of fatigue driving caution system according to claim 1, it is characterized in that: described wireless communication module comprises GSM/GPRS module or 3G module.
3. a kind of fatigue driving caution system according to claim 1, it is characterized in that: also comprise a GPS locating module, described GPS locating module is connected with the ARM microprocessor.
4. a kind of fatigue driving caution system according to claim 3 is characterized in that: comprise that also one is used for the storer of the storage cart trade mark, described storer is connected with the ARM microprocessor.
5. a kind of fatigue driving caution system according to claim 1, it is characterized in that: also comprise a brain wave tester, described brain wave tester is connected with the ARM microprocessor.
6. a kind of fatigue driving caution system according to claim 1, it is characterized in that: also comprise a DSP image processing module, the DSP image processing module is connected between sensor and the ARM microprocessor; Described sensor comprises an infrared camera and LED lamp, by the facial image information of driver in infrared camera and the LED lamp collection vehicle terminal, the image information of gathering is transferred to the DSP image processing module handle.
7. a kind of fatigue driving caution system according to claim 6, it is characterized in that: the spectrum of described LED lamp comprises 850nm and 950nm.
8. a kind of fatigue driving caution system according to claim 1 is characterized in that: described sensor comprises that one is used for the CCD camera of the lane shift information of collection vehicle terminal, and described CCD camera is connected with the ARM microprocessor.
9. a kind of fatigue driving caution system according to claim 1, it is characterized in that: described alarm module comprises an audio alert prompting device, described audio alert prompting device is connected with the ARM microprocessor.
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Cited By (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103714660A (en) * | 2013-12-26 | 2014-04-09 | 苏州清研微视电子科技有限公司 | System for achieving fatigue driving judgment on basis of image processing and fusion between heart rate characteristic and expression characteristic |
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1737872A (en) * | 2005-08-03 | 2006-02-22 | 关亮 | Novel traffic monitoring system |
CN201145954Y (en) * | 2007-08-22 | 2008-11-05 | 中山大学 | Vehicle mounted monitoring terminal |
US20080291008A1 (en) * | 2007-05-22 | 2008-11-27 | Jeon Byong-Hoon | Preventive terminal device and internet system from drowsy and distracted driving on motorways using facial recognition technology |
CN101491443A (en) * | 2009-03-06 | 2009-07-29 | 北京理工大学 | Relational model of driver fatigue and vehicle riding trail |
CN102101438A (en) * | 2009-12-18 | 2011-06-22 | 财团法人车辆研究测试中心 | Method and device for judging fatigue driving |
CN202276422U (en) * | 2011-10-11 | 2012-06-13 | 东华大学 | Multi-information-fusion vehicle safe driving remote monitoring system |
-
2013
- 2013-03-26 CN CN2013100979402A patent/CN103198617A/en not_active Withdrawn
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1737872A (en) * | 2005-08-03 | 2006-02-22 | 关亮 | Novel traffic monitoring system |
US20080291008A1 (en) * | 2007-05-22 | 2008-11-27 | Jeon Byong-Hoon | Preventive terminal device and internet system from drowsy and distracted driving on motorways using facial recognition technology |
CN201145954Y (en) * | 2007-08-22 | 2008-11-05 | 中山大学 | Vehicle mounted monitoring terminal |
CN101491443A (en) * | 2009-03-06 | 2009-07-29 | 北京理工大学 | Relational model of driver fatigue and vehicle riding trail |
CN102101438A (en) * | 2009-12-18 | 2011-06-22 | 财团法人车辆研究测试中心 | Method and device for judging fatigue driving |
CN202276422U (en) * | 2011-10-11 | 2012-06-13 | 东华大学 | Multi-information-fusion vehicle safe driving remote monitoring system |
Cited By (21)
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---|---|---|---|---|
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CN103714660A (en) * | 2013-12-26 | 2014-04-09 | 苏州清研微视电子科技有限公司 | System for achieving fatigue driving judgment on basis of image processing and fusion between heart rate characteristic and expression characteristic |
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CN105045665A (en) * | 2015-07-01 | 2015-11-11 | 西北工业大学 | Operator functional status based cockpit dynamic function allocation method |
CN105045665B (en) * | 2015-07-01 | 2018-04-10 | 西北工业大学 | Driving cabin dynamic function-allocation method based on operator's functional status |
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CN106548600A (en) * | 2016-12-06 | 2017-03-29 | 张家港全智电子科技有限公司 | Real-time pupil tracing system and fatigue state monitoring method |
CN109878527A (en) * | 2017-12-04 | 2019-06-14 | 李尔公司 | Divert one's attention sensing system |
CN107993409A (en) * | 2017-12-23 | 2018-05-04 | 合肥微商圈信息科技有限公司 | Vehicle-mounted video monitoring system and method for detecting driver |
US12059980B2 (en) | 2019-06-21 | 2024-08-13 | Lear Corporation | Seat system and method of control |
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CN110807899A (en) * | 2019-11-07 | 2020-02-18 | 交控科技股份有限公司 | Driver state comprehensive monitoring method and system |
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 |
CN111449652B (en) * | 2020-05-06 | 2022-11-29 | 北方工业大学 | Construction safety monitoring method and device based on brain wave analysis |
CN111449652A (en) * | 2020-05-06 | 2020-07-28 | 北方工业大学 | Construction safety monitoring method and device based on brain wave analysis |
CN113506436A (en) * | 2021-05-19 | 2021-10-15 | 海南师范大学 | System and method for monitoring and detecting whether driver plays mobile phone in vehicle |
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Application publication date: 20130710 |