CN104715571A - Fatigue driving alarming system based on multi-feature detection - Google Patents
Fatigue driving alarming system based on multi-feature detection Download PDFInfo
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- CN104715571A CN104715571A CN201310681978.4A CN201310681978A CN104715571A CN 104715571 A CN104715571 A CN 104715571A CN 201310681978 A CN201310681978 A CN 201310681978A CN 104715571 A CN104715571 A CN 104715571A
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Abstract
The invention discloses a fatigue driving alarming system based on multi-feature detection, and belongs to the technical field of automatic control. The fatigue driving alarming system based on multi-feature detection is characterized by comprising a DSP image processor (1), an ARM controller (2), a mouth state detecting module (3), an eye feature detecting module (4), an SDRAM (5), a FLASH (6), a sight line direction detecting module (7), a driver head position sensor (8), a steering wheel pressure sensor (9), an alarming module (10), a video signal collecting module (11) and a camera (12). Compared with the prior art, the fatigue driving alarming system has the advantages of being simple in structure, convenient to install and adjust, high in system reliability and measuring precision, low in power consumption, easy to apply and popularize, convenient to maintain and the like.
Description
Technical field
The invention belongs to automatic control technology field, in particular, belong to a kind of drowsy driving warning system detected based on multiple features.
Background technology
Fatigue driving refers to that driver to drive or overworked rear driving of staying up late for a long time, produces the imbalance of mental function and physiological function, occurs the phenomenons such as such as notice laxes, slow in reacting, expression in the eyes is stiff, painful limbs.Fatigue driving is that driver produces in people-this Iarge-scale system of car-environment.In driving procedure, driver needs the moment to note surface conditions, and judges vehicle and pedestrian in real time.The notice of driver is in high-pressure state all the time in the process, relatively easily causes mental fatigue.Meanwhile, the limbs of driver also can cause the positions such as its shoulder, arm, leg, pin tired because constantly handle automobile, and long-time waist, the back of the body of fixedly causing of sitting posture is tired, and these combined factors cause psychology and the physical fatigue of driver.
Researching and analysing of World Health Organization (WHO) 2009 shows, the traffic hazard of 37.91% is caused by fatigue driving.Fatigue driving has become the key factor of traffic hazard, and the safety of life and property of people in serious threat; Find out inducement and the sign of fatigue driving, fast, in real time, effectively detect fatigue driving state and send early warning signal to driver, effectively can reduce the probability that traffic hazard occurs.In recent years, this area research mainly carries out from 3 aspects both at home and abroad: (1), from the unique characteristics of driver, is detected physiological parameter or the facial expression of driver, adopted corresponding mode identification technology to carry out fatigue detecting by particular device.(2) from driving behavior, carried out the collection of driving behavior signal by sensor and visual apparatus, finally utilize mathematical analysis and mode identification technology to reach the object detecting driving fatigue.(3) indirectly judge fatigue driving according to vehicle operating feature, this method both can be used for detecting the fatigue of driver, was applicable to again carrying out long-distance transport and managed.The present invention monitors multiple index, extracts the multinomial feature of fatigue driving, thus improves the accuracy of detection.
Summary of the invention
The present invention, in order to effectively solve above technical matters, gives a kind of drowsy driving warning system detected based on multiple features.
A kind of drowsy driving warning system detected based on multiple features of the present invention, is characterized in that: comprise DSP image processor, ARM controller, mouth state detection module, eye feature detection module, SDRAM, FLASH, gaze tracking module, driver head's position transducer, bearing circle pressure transducer, alarm module, video signal collective module, camera; Wherein:
Described DSP image processor is connected with described ARM controller, described mouth state detection module, described eye feature detection module, described SDRAM, described FLASH, described gaze tracking module respectively, described ARM controller is connected with described DSP image processor, described driver head's position transducer, described bearing circle pressure transducer, described alarm module respectively, and described video signal collective module is connected with described mouth state detection module, described eye feature detection module, described gaze tracking module, described camera respectively.
The present invention is compared with prior art: have that system architecture is simple, installation and debugging convenient, system reliability is high, measuring accuracy is high, low in energy consumption, be easy to penetration and promotion, the advantage such as easy to maintenance.
Accompanying drawing explanation
Accompanying drawing 1 is the structural representation that the present invention is based on the drowsy driving warning system that multiple features detects.
Embodiment
Fig. 1 is the structural representation that the present invention is based on the drowsy driving warning system that multiple features detects, and the drowsy driving warning system detected based on multiple features comprises DSP image processor 1, ARM controller 2, mouth state detection module 3, eye feature detection module 4, SDRAM5, FLASH6, gaze tracking module 7, driver head's position transducer 8, bearing circle pressure transducer 9, alarm module 10, video signal collective module 11, camera 12; Wherein:
Described DSP image processor 1 respectively with described ARM controller 2, described mouth state detection module 3, described eye feature detection module 4, described SDRAM5, described FLASH6, described gaze tracking module 7 is connected, described ARM controller 2 respectively with described DSP image processor 1, described driver head's position transducer 8, described bearing circle pressure transducer 9, described alarm module 10 is connected, described video signal collective module 11 respectively with described mouth state detection module 3, described eye feature detection module 4, described gaze tracking module 7, described camera 12 is connected.
Claims (1)
1., based on the drowsy driving warning system that multiple features detects, it is characterized in that: comprise DSP image processor (1), ARM controller (2), mouth state detection module (3), eye feature detection module (4), SDRAM (5), FLASH (6), gaze tracking module (7), driver head's position transducer (8), bearing circle pressure transducer (9), alarm module (10), video signal collective module (11), camera (12); Wherein:
Described DSP image processor (1) respectively with described ARM controller (2), described mouth state detection module (3), described eye feature detection module (4), described SDRAM (5), described FLASH (6), described gaze tracking module (7) is connected, described ARM controller (2) respectively with described DSP image processor (1), described driver head's position transducer (8), described bearing circle pressure transducer (9), described alarm module (10) is connected, described video signal collective module (11) respectively with described mouth state detection module (3), described eye feature detection module (4), described gaze tracking module (7), described camera (12) is connected.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310681978.4A CN104715571A (en) | 2013-12-12 | 2013-12-12 | Fatigue driving alarming system based on multi-feature detection |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201310681978.4A CN104715571A (en) | 2013-12-12 | 2013-12-12 | Fatigue driving alarming system based on multi-feature detection |
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| Publication Number | Publication Date |
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| CN104715571A true CN104715571A (en) | 2015-06-17 |
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| CN201310681978.4A Pending CN104715571A (en) | 2013-12-12 | 2013-12-12 | Fatigue driving alarming system based on multi-feature detection |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111652014A (en) * | 2019-03-15 | 2020-09-11 | 上海铼锶信息技术有限公司 | Eye spirit identification method |
| CN111711744A (en) * | 2019-03-18 | 2020-09-25 | 北京沃东天骏信息技术有限公司 | Camera and image processing method |
| CN112396805A (en) * | 2019-07-31 | 2021-02-23 | Oppo广东移动通信有限公司 | Fatigue driving reminding method, device, terminal and storage medium |
| CN114767115A (en) * | 2022-04-28 | 2022-07-22 | 郑州铁路职业技术学院 | Fatigue driving visual detection method and system based on facial multi-modal deep learning |
-
2013
- 2013-12-12 CN CN201310681978.4A patent/CN104715571A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111652014A (en) * | 2019-03-15 | 2020-09-11 | 上海铼锶信息技术有限公司 | Eye spirit identification method |
| CN111711744A (en) * | 2019-03-18 | 2020-09-25 | 北京沃东天骏信息技术有限公司 | Camera and image processing method |
| CN112396805A (en) * | 2019-07-31 | 2021-02-23 | Oppo广东移动通信有限公司 | Fatigue driving reminding method, device, terminal and storage medium |
| CN112396805B (en) * | 2019-07-31 | 2022-10-25 | Oppo广东移动通信有限公司 | Fatigue driving reminding method, device, terminal and storage medium |
| CN114767115A (en) * | 2022-04-28 | 2022-07-22 | 郑州铁路职业技术学院 | Fatigue driving visual detection method and system based on facial multi-modal deep learning |
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Application publication date: 20150617 |
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| WD01 | Invention patent application deemed withdrawn after publication |