CN108600671A - A kind of real-time video in driver's abnormality and behavioral value puts to the proof mechanism - Google Patents
A kind of real-time video in driver's abnormality and behavioral value puts to the proof mechanism Download PDFInfo
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- CN108600671A CN108600671A CN201810492405.XA CN201810492405A CN108600671A CN 108600671 A CN108600671 A CN 108600671A CN 201810492405 A CN201810492405 A CN 201810492405A CN 108600671 A CN108600671 A CN 108600671A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
- H04N5/91—Television signal processing therefor
- H04N5/915—Television signal processing therefor for field- or frame-skip recording or reproducing
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- Television Signal Processing For Recording (AREA)
Abstract
The invention discloses the real-time videos in a kind of driver's abnormality and behavioral value to put to the proof mechanism, the present invention only retains video when dangerous driver's state and the state such as fatigue occurs, diverts one's attention, smoke, making a phone call by combining fatigue, state of diverting one's attention comprehensive analysis in real-time recording video.Greatly reduce cost of video storage and consult time cost, and video is only divert one's attention related to fatigue, file size can fall sharply, and carrying cost and network transmission cost greatly reduce;When having access to, it is only necessary to can find video at that time, time cost 0 according to filename.
Description
Technical field
The present invention relates to video technique field, the real-time video in specifically a kind of driver's abnormality and behavioral value is lifted
Card mechanism.
Background technology
Road traffic greatest risk is to divert one's attention to drive, and driving of diverting one's attention is mainly manifested in fatigue driving and drives to use mobile phone
Etc., it is the No.1 potential killer of road safety.The equipment such as abnormality and behavior alarm are increasingly used for train, public transport, object
To prevent the accident caused by tired driver is divert one's attention in the transport of the industries such as stream.
Fatigue diverts one's attention the equipment such as detection in preventing accident in being used for industry transport, while equipment also can be by the shape of driver
State data are transmitted to regulatory authorities by various means in real time, relevant departments can according to the state in driver driving to driver into
Row examination.But current state behavioral value equipment, has plenty of and is realized by visual analysis in real time, have plenty of through skin resistance or
Human nerve detection etc. realizations, these cannot all accomplish very precisely, if administrative department with it is this not accurately data come
Directly driver is checked and rated, probability is had and examination is caused to judge by accident.The correct of evidence confirmation data is at this time needed, with fair public
Normal incidence checks and rates the driving behavior of driver.
Invention content
The purpose of the present invention is to provide the real-time videos in a kind of driver's abnormality and behavioral value to put to the proof mechanism, with
Solve the problems mentioned above in the background art.
To achieve the above object, the present invention provides the following technical solutions:
A kind of real-time video in driver's abnormality and behavioral value puts to the proof mechanism, comprises the steps of:
A, start capture apparatus to record a video;
B, it was re-shoot every tb seconds, shooting video will not be saved and can be covered by shooting after tb seconds;
C, when fatigue detecting module notice taking module has fatigue or a tired event, taking module begin to continue to record and
It will not enter and re-shoot flow, the events notice such as divert one's attention when taking module does not receive fatigue, taking module continues to record
Terminate to record after tb seconds, and generates video file;
If D, at this time when determining that driver is in normal condition and behavior, prepare i.e. will after tb second write-in file this when
In, it is received again by fatigue and diverts one's attention event notice, then the taking module will continue to recorded video, until follow-up determination is not tired
Labor divert one's attention state when, just determine write-in file.
Further technical solution as the present invention:Capture apparatus in the step A is in state behavior detection device
A module or an individual video recording equipment.
Further technical solution as the present invention:The storage location of video file is SD card.
Further technical solution as the present invention:Individually pass through between video recording equipment and state behavior detection device
The modes such as UART/GPIO/RJ45/WIIF/ bluetooths connect.
Further technical solution as the present invention:The individual video recording equipment is specifically DVR.
Compared with prior art, the beneficial effects of the invention are as follows:The present invention by real-time recording video combine fatigue,
State of diverting one's attention comprehensive analysis only retains video when dangerous driver's state such as fatigue occurs, diverts one's attention.Greatly reduce video storage
Cost and time cost is consulted, and video is only divert one's attention related to fatigue, file size can fall sharply, carrying cost and network biography
Defeated cost greatly reduces;When having access to, it is only necessary to can find video at that time, time cost 0 according to filename.
Description of the drawings
Fig. 1 is the techniqueflow chart;
Fig. 2 is equipment or function structure chart in method 2;
Fig. 3 is function structure chart in method 1;
Fig. 4 is the systematic schematic diagram of facilities and equipments;
Fig. 5 is the logical flow chart of facilities and equipments.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Please refer to Fig.1-5, the real-time video in a kind of driver's abnormality and behavioral value puts to the proof mechanism, specific implementation
Divide two ways:
1. video capture is carried out inside state behavior detection device;
2. video capture is individually carried out by another DVR, video recording equipment and state behavior equipment room pass through UART/GPIO/
The modes such as RJ45/WIIF/ bluetooths connect;
Video capture is a module in state behavior detection device in mode 1, is specifically shown in Fig. 3;
Taking module has begun to video recording from after equipment startup under normal circumstances, and is re-shoot every tb seconds, and shooting regards
Frequency will not be saved and can be covered by shooting after tb seconds;When fatigue detecting module notice taking module has abnormality behavior thing
Part, taking module begins to continue to record and (will not enter and re-shoot flow), when taking module does not receive abnormality row
It is notified for event, taking module continues to terminate to record after recording tb seconds, and generates video file, and the secondary record is embodied in filename
System starts and the information terminated is recorded in this time, facilitates user that this abnormality behavior record is mapped with the time.
If at this time when determining that driver is in normal condition, prepare to be written in this time of file after tb seconds, then
The secondary fatigue that receives is divert one's attention event notice, then the taking module will continue to recorded video, until follow-up determination is divert one's attention without fatigue
When state, write-in file is just determined
In mode 2, video capture is an independent video recording equipment, which is connected with abnormality behavior equipment,
Fig. 2 is specifically shown in,
Capture apparatus has begun to video recording from after equipment startup under normal circumstances, and is re-shoot every tb seconds, and shooting regards
Frequency will not be saved and can be covered by shooting after tb seconds;When abnormality behavioral value equipment is set by data line notice shooting
Abnormality behavior event is had, capture apparatus begins to continue to record and (will not enter and re-shoot flow), works as capture apparatus
It does not receive fatigue to divert one's attention event notice, capture apparatus continues to terminate recording after recording tb second, and generates video file, file
The information that beginning is recorded in this time and end is recorded in this time is embodied in name, facilitates user by this abnormality behavior record and time
It is mapped.
If at this time when determining that driver is in normal condition, prepare to be written in this time of file after tb seconds, then
The secondary fatigue that receives is divert one's attention event notice, then the capture apparatus will continue to recorded video, until subsequently determining no abnormality
When behavior, write-in file is just determined;
All video files can be stored in SD card, or by the file uploading module in EM equipment module by video file
It is uploaded onto the server from the background (optional) by network.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Profit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent requirements of the claims
Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped
Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should
It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art
The other embodiment being appreciated that.
Claims (5)
1. the real-time video in a kind of driver's abnormality and behavioral value puts to the proof mechanism, which is characterized in that comprise the steps of:
A, start capture apparatus to record a video;
B, it was re-shoot every tb seconds, shooting video will not be saved and can be covered by shooting after tb seconds;
C, when abnormality behavioral value module notice taking module has fatigue, events, the taking module such as divert one's attention to begin to continue
Record and re-shoot flow without entering, the events notice such as divert one's attention when taking module does not receive fatigue, taking module just after
Continuous recording terminates to record after tb seconds, and generates video file;
If D, at this time when determining that driver is in normal condition, prepare to be written in this time of file after tb seconds, again
It receives fatigue to divert one's attention event notice, then the taking module will continue to recorded video, until follow-up determine does not have fatigue to divert one's attention shape
When state, write-in file is just determined.
2. the real-time video in a kind of driver's abnormality according to claim 1 and behavioral value puts to the proof mechanism, special
Sign is, the capture apparatus in the step A is that individually video recording is set by a module in state behavior detection device or one
It is standby.
3. the real-time video in a kind of driver's abnormality according to claim 1 and behavioral value puts to the proof mechanism, special
Sign is that the storage location of video file is SD card.
4. the real-time video in a kind of driver's abnormality according to claim 2 and behavioral value puts to the proof mechanism, special
Sign is, passes through the modes such as UART/GPIO/RJ45/WIIF/ bluetooths between individual video recording equipment and state behavior detection device
Connection.
5. the real-time video in a kind of driver's abnormality according to claim 2 and behavioral value puts to the proof mechanism, special
Sign is that the individual video recording equipment is specifically DVR.
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CN201810492405.XA CN108600671A (en) | 2018-05-22 | 2018-05-22 | A kind of real-time video in driver's abnormality and behavioral value puts to the proof mechanism |
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CN201810492405.XA CN108600671A (en) | 2018-05-22 | 2018-05-22 | A kind of real-time video in driver's abnormality and behavioral value puts to the proof mechanism |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115984990A (en) * | 2022-11-18 | 2023-04-18 | 北京思维实创科技有限公司 | Vehicle driver driving accident tracing method and system based on machine view angle |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101968967A (en) * | 2010-08-04 | 2011-02-09 | 深圳英飞拓科技股份有限公司 | Prerecording method used for monitoring equipment |
CN103150870A (en) * | 2013-02-04 | 2013-06-12 | 浙江捷尚视觉科技有限公司 | Train motorman fatigue detecting method based on videos |
CN205793046U (en) * | 2016-06-03 | 2016-12-07 | 北京中电万联科技股份有限公司 | A kind of bus driver's dystropy monitoring system |
-
2018
- 2018-05-22 CN CN201810492405.XA patent/CN108600671A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101968967A (en) * | 2010-08-04 | 2011-02-09 | 深圳英飞拓科技股份有限公司 | Prerecording method used for monitoring equipment |
CN103150870A (en) * | 2013-02-04 | 2013-06-12 | 浙江捷尚视觉科技有限公司 | Train motorman fatigue detecting method based on videos |
CN205793046U (en) * | 2016-06-03 | 2016-12-07 | 北京中电万联科技股份有限公司 | A kind of bus driver's dystropy monitoring system |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115984990A (en) * | 2022-11-18 | 2023-04-18 | 北京思维实创科技有限公司 | Vehicle driver driving accident tracing method and system based on machine view angle |
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Application publication date: 20180928 |