CN103956027A - Driver eye fatigue detection device and method - Google Patents
Driver eye fatigue detection device and method Download PDFInfo
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- CN103956027A CN103956027A CN201410135094.3A CN201410135094A CN103956027A CN 103956027 A CN103956027 A CN 103956027A CN 201410135094 A CN201410135094 A CN 201410135094A CN 103956027 A CN103956027 A CN 103956027A
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Abstract
The invention discloses a driver eye fatigue detection device and method. The driver eye fatigue detection device comprises a positioning glasses frame and an eye fatigue detection instrument, wherein the positioning glasses frame is put on by a driver, and the eye fatigue detection instrument is arranged on a car dashboard. Identification devices are arranged on the periphery of the positioning glasses frame. The eye fatigue detection instrument comprises a shell, a camera, an image processing module, a central processing unit, a storage module, an input module and an alarm module. The signal output end of the camera is connected with the signal input end of the central processing unit through the image processing module, the central processing unit is connected with the storage module and the input module, and the signal output end of the central processing unit is connected with the signal input end of the alarm module. According to the driver eye fatigue detection device and method, the eye analysis range is determined through the positioning glasses frame put on by the driver, eye opening and closing images of the driver are taken through the camera, meanwhile, the eye opening and closing states of the driver are analyzed and judged through the eye fatigue detection instrument, and whether the driver drives in a fatigue state is detected. According to the driver eye fatigue detection device and method, the structure is simple, the accuracy rate is high, and potential security risks can be greatly reduced.
Description
Technical field
The present invention relates to a kind of fatigue detection device and detection method, relate in particular to a kind of driver's human eye fatigue detection device and detection method.
Background technology
At present, driver, drive over a long distance in process, very easily because fatigue driving causes traffic hazard.According to statistics, there is every year 70% traffic hazard all by fatigue driving, to be caused.Existing driver fatigue detection device mainly designs from following two aspects:
1) driver's physiological signal is detected, mainly by Medical Instruments and equipment, driver's physiology signal is detected in real time, thereby judge that whether human body is tired.But this type of checkout equipment need to adopt the contact class device of more complicated, and expense is higher.
2) running state of the vehicle is detected, the main departure degree by Sensor monitoring route or travel by vehicle, automobilism speed, relative track etc., and then whether analyze vehicle operating normal, whether driver's operation action is reasonable, and as the fatigue state according to judgement driver.But it is larger that this type of checkout equipment is affected by external factor, as vehicle, road conditions and weather etc., and accuracy of detection is poor.
Summary of the invention
The object of this invention is to provide a kind of driver's human eye fatigue detection device and detection method, can be by driver's eyes be opened to the situation of closing analysis, judge that whether driver is in fatigue driving, and report to the police when fatigue driving situation occurs driver, reduce potential safety hazard.
The present invention adopts following technical proposals:
Driver's human eye fatigue detection device, comprises the location eye glass frame that driver wears and is arranged on human eye fatigue detection device on Auto Instrument desk; Described location eye glass frame surrounding is provided with identity device; Described human eye fatigue detection device comprises housing, is arranged on the camera on housing and is arranged on image processing module, CPU (central processing unit), memory module, load module and the alarm module in housing, the signal output part of camera connects the signal input part of CPU (central processing unit) by image processing module, CPU (central processing unit) connects memory module and load module, and the signal output part of CPU (central processing unit) connects the signal input part of alarm module.
Described identity device adopts LED mark lamp.
Also comprise the driver's head pose pick-up unit that is arranged on operating seat headrest front side, described driver's head pose pick-up unit comprises the sensor array of rectangle, sensor array forms by organizing high precision range sensor more, and the signal output part of organizing high precision range sensor connects respectively the signal input part of wireless sending module more; In described human eye fatigue detection device, be provided with wireless receiving module, wireless sending module intercoms mutually with wireless receiving module.
Described in right to use requirement 1, driver's human eye fatigue detection device carries out the method for fatigue detecting, comprises the following steps:
A: the camera in human eye fatigue detection device is taken driver face picture in real time, and the picture photographing is sent to CPU (central processing unit); After many groups high precision range sensor Real-time Collection driver head in driver's head pose pick-up unit sensor array, with the distance of range sensor, and when being greater than the alarm distance of setting, the distance detecting sends alerting signal to CPU (central processing unit);
B: CPU (central processing unit) is extracted the sectional drawing of a camera transmission picture every 5 seconds, and sectional drawing is carried out to analyzing and processing, CPU (central processing unit) is utilized the location positioning driver position of human eye of identity device in sectional drawing, and according to sectional drawing, analyze human eye and open the situation of closing, if analysis result is that human eye closure enters step C; CPU (central processing unit) Real-Time Monitoring is organized the alerting signal that high-precision sensor sends more, if send the high-precision sensor quantity of alerting signal, is greater than 1/2 of high-precision sensor total quantity and enters step C;
C: CPU (central processing unit) is analyzed the sectional drawing analysis result of continuous 4 times, is that human eye is closed if there are 2 times and 2 times in 4 sectional drawing analysis results above, is judged to be image recognition dangerous situation, enters step D, otherwise returns to step B; CPU (central processing unit) is greater than duration of 1/2 of high-precision sensor total quantity and analyzes to sending the high-precision sensor quantity of alerting signal, the high-precision sensor quantity that sends alerting signal if having in continuous 20 seconds on 10 seconds and 10 seconds is all greater than 1/2 o'clock of high-precision sensor total quantity, be judged to be sensor hazard recognition situation, enter step D, otherwise return to step B;
D: CPU (central processing unit) judges that any one situation occurs in latter 20 seconds in image recognition dangerous situation and sensor hazard recognition situation, whether another kind of situation also once occurs, if yes then enter step e; If otherwise return to step B;
E: CPU (central processing unit) is reported to the police by alarm module.
The location eye glass frame that the present invention wears by driver is determined human eye analyst coverage, the human eye that utilizes camera to take human pilot is opened and is closed picture, utilize human eye fatigue detection device to open to the human eye of human pilot the state of closing simultaneously and analyze judgement, detect driver and whether occur fatigue driving situation; The present invention is simple in structure, and accuracy rate is high, can greatly reduce potential safety hazard.
Accompanying drawing explanation
Fig. 1 is the structural representation of location of the present invention eye glass frame;
Fig. 2 is the theory diagram of driver's human eye fatigue detection device of the present invention;
Fig. 3 is the process flow diagram of driver's human eye fatigue detection method of the present invention.
Embodiment
As shown in Figure 1 to Figure 3, driver's human eye fatigue detection device of the present invention comprises the location eye glass frame 1 that driver wears and is arranged on human eye fatigue detection device on Auto Instrument desk; Location eye glass frame 1 is for determining human eye analyst coverage, and human eye fatigue detection device is opened and closed picture and carry out analyzing and processing for taking the human eye of human pilot.
Location eye glass frame 1 surrounding is provided with identity device 2, identity device 2 can adopt LED mark lamp, LED mark lamp can form the white point of high brightness in captured image, like this in follow-up sectional drawing analytic process, CPU (central processing unit) can utilize the high brightness of identification point to determine fast human eye analyst coverage, shorten analysis time, thereby improve efficiency and the accuracy of driver's human eye fatigue detecting.Location eye glass frame 1 can be installed plano lens, concave lens or hyperopic lens according to the eyesight level of human pilot.
Human eye fatigue detection device comprises housing and is arranged on the camera on housing and is arranged on the image processing module in housing, CPU (central processing unit), memory module, load module and alarm module, camera is opened and is closed picture for the human eye of taking human pilot, the signal output part of camera connects the signal input part of CPU (central processing unit) by image processing module, CPU (central processing unit) connects memory module and load module, memory module is for storing the captured picture of camera, load module is for carrying out every setting to CPU (central processing unit), the signal output part of CPU (central processing unit) connects the signal input part of alarm module, warning device can adopt hummer or loudspeaker.
In order further to improve the accuracy of driver's human eye fatigue detecting, the present invention is also provided with driver's head pose pick-up unit in operating seat headrest front side, driver's head pose pick-up unit comprises the sensor array of rectangle, sensor array forms by organizing high precision range sensor more, and the signal output part of organizing high precision range sensor connects respectively the signal input part of wireless sending module more; In described human eye fatigue detection device, be provided with wireless receiving module, wireless sending module intercoms mutually with wireless receiving module.The sensor array of rectangle is for detection of driver's back side of head portion bit position, because driver's head in normal driving process may be moved, but in normal moving process, in rectangular sensor array, sensors more than half always can detect driver's head, but under driver processes fatigue driving state, because driver's head can fall down to front portion and tilt to both sides, now in rectangular sensor array, the sensor having more than 1/2 be can't detect to driver's head and reports to the police, the sensor that is for example positioned at rectangular sensor array top and middle part will can't detect driver's head, the sensor that is positioned at rectangular sensor array left part when driver's head is left-leaning can't detect driver's head, the sensor that is positioned at rectangular sensor array right part when driver's head Right deviation can't detect driver's head.
In use, the camera in human eye fatigue detection device is taken driver face picture in real time in the present invention, and the picture photographing is sent to CPU (central processing unit); After many groups high precision range sensor Real-time Collection driver head in driver's head pose pick-up unit sensor array, with the distance of range sensor, and when being greater than the alarm distance of setting, the distance detecting sends alerting signal to CPU (central processing unit); Now camera and high precision range sensor are worked simultaneously.
CPU (central processing unit) is extracted the sectional drawing of a camera transmission picture every 5 seconds, and sectional drawing is carried out to analyzing and processing, CPU (central processing unit) utilizes the position of the high brightness white point that in sectional drawing, identity device 2 produces to determine rapidly driver's position of human eye, and according to sectional drawing, analyzes human eye and open the situation of closing.The analysis judgement of driver's human eye being opened to the situation of closing belongs to the prior art in graphics process field, all has introduction in some patents, owing to belonging to prior art, does not repeat them here.If it is that human eye is closed that human eye is opened the analysis result of the situation of closing, CPU (central processing unit) will further judge this situation.CPU (central processing unit) also organizes at Real-Time Monitoring the alerting signal that high-precision sensor sends more when carrying out sectional drawing analysis, if when sending the high-precision sensor quantity of alerting signal and being greater than 1/2 of high-precision sensor total quantity, CPU (central processing unit) will further judge this situation.
Above, when sectional drawing, analyzing human eye opens after the result of the situation of closing is human eye closure, CPU (central processing unit) is carried out analytic statistics by the sectional drawing analysis result to continuous 4 times, if having 2 times and 2 times in 4 sectional drawing analysis results is the closed situation of human eye above, be judged to be image recognition dangerous situation, CPU (central processing unit) will enter into next determining step, if there is no 2 times and 2 times is the closed situation of human eye above, CPU (central processing unit) was carried out sectional drawing and new sectional drawing is carried out to analyzing and processing continuing every 5 seconds; When CPU (central processing unit) receive the high-precision sensor quantity that sends alerting signal be greater than high-precision sensor total quantity 1/2 after, CPU (central processing unit) was analyzed the duration of this situation, the high-precision sensor quantity that sends alerting signal if having in continuous 20 seconds on 10 seconds and 10 seconds is all greater than 1/2 o'clock of high-precision sensor total quantity, be judged to be sensor hazard recognition situation, CPU (central processing unit) will enter into next determining step, if do not have CPU (central processing unit) to organize by continuing Real-Time Monitoring the alerting signal that high-precision sensor sends more.
After image recognition dangerous situation or sensor hazard recognition situation occur, CPU (central processing unit) judgement occurs in latter 20 seconds in any one situation, and whether another kind of situation also once occur, if it is CPU (central processing unit) is reported to the police by alarm module; CPU (central processing unit) was carried out sectional drawing and new sectional drawing is carried out to analyzing and processing continuing every 5 seconds if not, and continued Real-Time Monitoring and organize the alerting signal that high-precision sensor sends more.
In the present invention, analyze human eye and open after the result of the situation of closing is human eye closure there is sectional drawing, central processing module carries out analytic statistics to the sectional drawing analysis result of continuous 4 times, if having 2 times and 2 times in 4 sectional drawing analysis results is the closed situation of human eye above, just be judged to be image recognition dangerous situation, can avoid like this causing due to human pilot nictation or other reasons the false alarm situation occurring, and by 4 sectional drawing analysis results in continuous 20 seconds, carry out analytic statistics, can greatly improve the accuracy rate of fatigue warning.In the present invention, the high-precision sensor quantity that sends alerting signal be greater than high-precision sensor total quantity 1/2 after, CPU (central processing unit) was analyzed the duration of this situation, the high-precision sensor quantity that sends alerting signal if having in continuous 20 seconds on 10 seconds and 10 seconds is all greater than 1/2 o'clock of high-precision sensor total quantity, just be judged to be sensor hazard recognition situation, can avoid like this because the false alarm of initiation is moved in the normal position of human pilot head.Finally, the present invention judges by image and two kinds of situations of sensor judgement comprehensively judge, judgement occurs after image recognition dangerous situation or sensor hazard recognition situation in 20 seconds first, whether another kind of situation exists simultaneously, if it is determine the driver tired driving situation that occurs, report to the police at once; If without, return and proceed monitoring.The present invention can greatly improve the accuracy of warning by the judgment mode of this science, avoids false alarm.
Driver's human eye fatigue detection device of the present invention carries out the method for fatigue detecting, comprises the following steps:
A: the camera in human eye fatigue detection device is taken driver face picture in real time, and the picture photographing is sent to CPU (central processing unit); After many groups high precision range sensor Real-time Collection driver head in driver's head pose pick-up unit sensor array, with the distance of range sensor, and when being greater than the alarm distance of setting, the distance detecting sends alerting signal to CPU (central processing unit);
B: CPU (central processing unit) is extracted the sectional drawing of a camera transmission picture every 5 seconds, and sectional drawing is carried out to analyzing and processing, CPU (central processing unit) is utilized the location positioning driver position of human eye of identity device 2 in sectional drawing, and according to sectional drawing, analyze human eye and open the situation of closing, if analysis result is that human eye closure enters step C; CPU (central processing unit) Real-Time Monitoring is organized the alerting signal that high-precision sensor sends more, if send the high-precision sensor quantity of alerting signal, is greater than 1/2 of high-precision sensor total quantity and enters step C;
C: CPU (central processing unit) is analyzed the sectional drawing analysis result of continuous 4 times, is that human eye is closed if there are 2 times and 2 times in 4 sectional drawing analysis results above, is judged to be image recognition dangerous situation, enters step D, otherwise returns to step B; CPU (central processing unit) is greater than duration of 1/2 of high-precision sensor total quantity and analyzes to sending the high-precision sensor quantity of alerting signal, the high-precision sensor quantity that sends alerting signal if having in continuous 20 seconds on 10 seconds and 10 seconds is all greater than 1/2 o'clock of high-precision sensor total quantity, be judged to be sensor hazard recognition situation, enter step D, otherwise return to step B;
D: CPU (central processing unit) judges that any one situation occurs in latter 20 seconds in image recognition dangerous situation and sensor hazard recognition situation, whether another kind of situation also once occurs, if yes then enter step e; If otherwise return to step B;
E: CPU (central processing unit) is reported to the police by alarm module.
Because the content of human eye fatigue detection method is described in detail explanation in human eye fatigue detection device, do not repeat them here.
Claims (4)
1. driver's human eye fatigue detection device, is characterized in that: comprise the location eye glass frame that driver wears and be arranged on human eye fatigue detection device on Auto Instrument desk; Described location eye glass frame surrounding is provided with identity device; Described human eye fatigue detection device comprises housing, is arranged on the camera on housing and is arranged on image processing module, CPU (central processing unit), memory module, load module and the alarm module in housing, the signal output part of camera connects the signal input part of CPU (central processing unit) by image processing module, CPU (central processing unit) connects memory module and load module, and the signal output part of CPU (central processing unit) connects the signal input part of alarm module.
2. driver's human eye fatigue detection device according to claim 1, is characterized in that: described identity device adopts LED mark lamp.
3. driver's human eye fatigue detection device according to claim 1, it is characterized in that: also comprise the driver's head pose pick-up unit that is arranged on operating seat headrest front side, described driver's head pose pick-up unit comprises the sensor array of rectangle, sensor array forms by organizing high precision range sensor more, and the signal output part of organizing high precision range sensor connects respectively the signal input part of wireless sending module more; In described human eye fatigue detection device, be provided with wireless receiving module, wireless sending module intercoms mutually with wireless receiving module.
4. right to use requires driver's human eye fatigue detection device described in 1 to carry out the method for fatigue detecting, it is characterized in that: comprise the following steps:
A: the camera in human eye fatigue detection device is taken driver face picture in real time, and the picture photographing is sent to CPU (central processing unit); After many groups high precision range sensor Real-time Collection driver head in driver's head pose pick-up unit sensor array, with the distance of range sensor, and when being greater than the alarm distance of setting, the distance detecting sends alerting signal to CPU (central processing unit);
B: CPU (central processing unit) is extracted the sectional drawing of a camera transmission picture every 5 seconds, and sectional drawing is carried out to analyzing and processing, CPU (central processing unit) is utilized the location positioning driver position of human eye of identity device in sectional drawing, and according to sectional drawing, analyze human eye and open the situation of closing, if analysis result is that human eye closure enters step C; CPU (central processing unit) Real-Time Monitoring is organized the alerting signal that high-precision sensor sends more, if send the high-precision sensor quantity of alerting signal, is greater than 1/2 of high-precision sensor total quantity and enters step C;
C: CPU (central processing unit) is analyzed the sectional drawing analysis result of continuous 4 times, is that human eye is closed if there are 2 times and 2 times in 4 sectional drawing analysis results above, is judged to be image recognition dangerous situation, enters step D, otherwise returns to step B; CPU (central processing unit) is greater than duration of 1/2 of high-precision sensor total quantity and analyzes to sending the high-precision sensor quantity of alerting signal, the high-precision sensor quantity that sends alerting signal if having in continuous 20 seconds on 10 seconds and 10 seconds is all greater than 1/2 o'clock of high-precision sensor total quantity, be judged to be sensor hazard recognition situation, enter step D, otherwise return to step B;
D: CPU (central processing unit) judges that any one situation occurs in latter 20 seconds in image recognition dangerous situation and sensor hazard recognition situation, whether another kind of situation also once occurs, if yes then enter step e; If otherwise return to step B;
E: CPU (central processing unit) is reported to the police by alarm module.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104484570A (en) * | 2014-12-18 | 2015-04-01 | 联想(北京)有限公司 | Electronic terminal and information processing method |
| CN105046885A (en) * | 2015-08-03 | 2015-11-11 | 刘天键 | Wearable-glasses-type fatigue early warning equipment and working method thereof |
| CN105069976A (en) * | 2015-07-28 | 2015-11-18 | 南京工程学院 | Integrated fatigue detection and driving record system and fatigue detection method |
| CN109074748A (en) * | 2016-05-11 | 2018-12-21 | 索尼公司 | Image processing equipment, image processing method and movable body |
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| CN109074748A (en) * | 2016-05-11 | 2018-12-21 | 索尼公司 | Image processing equipment, image processing method and movable body |
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