CN109480375A - The control method of the retrograde crash helmet of intelligent recognition - Google Patents
The control method of the retrograde crash helmet of intelligent recognition Download PDFInfo
- Publication number
- CN109480375A CN109480375A CN201811327397.XA CN201811327397A CN109480375A CN 109480375 A CN109480375 A CN 109480375A CN 201811327397 A CN201811327397 A CN 201811327397A CN 109480375 A CN109480375 A CN 109480375A
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- CN
- China
- Prior art keywords
- video
- photo
- control method
- road
- retrograde
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- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
-
- A—HUMAN NECESSITIES
- A42—HEADWEAR
- A42B—HATS; HEAD COVERINGS
- A42B3/00—Helmets; Helmet covers ; Other protective head coverings
- A42B3/04—Parts, details or accessories of helmets
- A42B3/30—Mounting radio sets or communication systems
-
- A—HUMAN NECESSITIES
- A42—HEADWEAR
- A42B—HATS; HEAD COVERINGS
- A42B3/00—Helmets; Helmet covers ; Other protective head coverings
- A42B3/04—Parts, details or accessories of helmets
- A42B3/0406—Accessories for helmets
- A42B3/0433—Detecting, signalling or lighting devices
Abstract
The present invention provides a kind of control methods for the crash helmet that intelligent recognition is driven in the wrong direction, the crash helmet body, the GPS module being arranged in the helmet main body and electronic map, and the video acquisition device in front of the helmet main body is set, the control method is the following steps are included: S1, the GPS position information for obtaining user and the video on moving direction;S2 obtains user from the video and enters video within the scope of town road according to the GPS position information and electronic map information;S3 is sent to server from obtaining an at least photo within the scope of the town road in video, and by an at least photo, and the server is used for according to described that at least a photo to identify the behavior of user, judges whether to drive in the wrong direction.
Description
Technical field
The present invention relates to a kind of control methods for the crash helmet that intelligent recognition is driven in the wrong direction.
Background technique
Currently, in express delivery or taking out in industry field, for the personal safety of courier, the wearing of the helmet has become
A kind of standard configuration.Video camera is typically equipped in the current helmet, but the video camera being mounted on the helmet in the prior art is only
Be only used for recording a video, can not to courier food delivery or when sending express delivery behavior carry out effectively evaluating, and then play to express delivery people
Member food delivery or when sending express delivery behavior operative constraint, to guarantee the safety of courier or food delivery personnel.
Summary of the invention
The present invention provides a kind of control methods for the crash helmet that intelligent recognition is driven in the wrong direction, and can effectively solve above-mentioned ask
Topic.
The present invention is implemented as follows:
A kind of control method for the crash helmet that intelligent recognition is retrograde, the crash helmet body are arranged in the helmet
GPS module and electronic map on ontology, and the video acquisition device in front of the helmet main body is set, the control
Method the following steps are included:
S1 obtains the video in the GPS position information and moving direction of user;
S2 obtains user from the video and enters municipal road according to the GPS position information and electronic map information
Video within the scope of road;
S3, from obtaining an at least photo within the scope of the town road in video, and will an at least photo hair
Give server, the server is used for according to described that at least a photo to identify the behavior of user, judges whether inverse
Row.
As further improved, in step s 2, further comprise:
S21, video within the scope of town road described in automatic lockout, so that video is uncovered within the scope of the town road
And deletion.
As further improved, the server is used for according to the reference figure in an at least photo to user's
Behavior is identified, judges whether to drive in the wrong direction.
As further improved, the object of reference is automobile or road arrow.
As further improved, when the object of reference is automobile, when the reference figure in an at least photo is vapour
When the vehicle tailstock, judge without retrograde;When the reference figure in an at least photo is automobile head, it is judged as retrograde.
As further improved, when the object of reference is road arrow, when the reference figure in an at least photo
When for road arrow forward, judge without retrograde;When in an at least photo reference figure be road arrow backward when, judge
It is retrograde.
As further improved, in step s3, from each road obtains 3 in video within the scope of the town road
To 5 photos.
The beneficial effects of the present invention are: the present invention is by from intercepting an at least Zhang Zhao in video within the scope of the town road
Piece is sent to server, and at least a photo identifies the behavior of user to the server according to, judges whether inverse
Row, so as to courier food delivery or when sending express delivery behavior carry out effectively evaluating, and then play and exist to courier
Food delivery or when sending express delivery behavior operative constraint, guarantee the safety of courier.
Detailed description of the invention
It, below will be to use required in embodiment in order to illustrate more clearly of the technical solution of embodiment of the present invention
Attached drawing be briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not to be seen as
It is the restriction to range, it for those of ordinary skill in the art, without creative efforts, can be with root
Other relevant attached drawings are obtained according to these attached drawings.
Fig. 1 is the control method flow chart of the retrograde crash helmet of intelligent recognition provided in an embodiment of the present invention.
Fig. 2 is the signal in judging whether to drive in the wrong direction of the retrograde crash helmet of intelligent recognition provided in an embodiment of the present invention
Figure.
Fig. 3 is the signal in judging whether to drive in the wrong direction of the retrograde crash helmet of intelligent recognition provided in an embodiment of the present invention
Figure.
Specific embodiment
To keep the purposes, technical schemes and advantages of embodiment of the present invention clearer, implement below in conjunction with the present invention
The technical solution in embodiment of the present invention is clearly and completely described in attached drawing in mode, it is clear that described reality
The mode of applying is some embodiments of the invention, rather than whole embodiments.Based on the embodiment in the present invention, ability
Domain those of ordinary skill every other embodiment obtained without creative efforts, belongs to the present invention
The range of protection.Therefore, the detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit below and is wanted
The scope of the present invention of protection is sought, but is merely representative of selected embodiment of the invention.Based on the embodiment in the present invention,
Every other embodiment obtained by those of ordinary skill in the art without making creative efforts belongs to this
Invent the range of protection.
Shown in referring to Fig.1, a kind of control method for the crash helmet that intelligent recognition is retrograde, the crash helmet body is set
GPS module and electronic map in the helmet main body are set, and the video acquisition in front of the helmet main body is set
Device, the control method the following steps are included:
S1 obtains the video in the GPS position information and moving direction of user;
S2 obtains user from the video and enters municipal road according to the GPS position information and electronic map information
Video within the scope of road;
S3, from obtaining an at least photo within the scope of the town road in video, and will an at least photo hair
Give server, the server is used for according to described that at least a photo to identify the behavior of user, judges whether inverse
Row.
In step sl, the GPS location of user can be obtained in real time by the GPS module being arranged in the helmet main body
Information.And the video of user in the direction of movement is obtained by video acquisition device in real time.
In step s 2, according to the GPS position information and electronic map information, user is obtained from the video and is entered
The step of video, includes: within the scope of to town road
S22 obtains road information by the electronic map;
S23 obtains user's GPS position information since the video and enters a certain road to user's GPS position information
Leave the video within the scope of the road.
As further improved, in step s 2, further comprise:
S21, video within the scope of town road described in automatic lockout, so that video is uncovered within the scope of the town road
And deletion.
In step s3, the server be used for according to the reference figure in an at least photo to the behavior of user into
Row identification, judges whether to drive in the wrong direction.The object of reference can be automobile or road arrow.
When the object of reference is automobile in one of the embodiments, when being referring to figure in an at least photo
When automobile tail, judge without retrograde;When the reference figure in an at least photo is automobile head, it is judged as retrograde.
Referring to figure 2. -3, when the object of reference is road arrow in one of the embodiments, when described at least one
Reference figure in photo be road arrow forward when, judge that nothing is retrograde (as shown in Figure 3);Ginseng in an at least photo
According to figure be road arrow backward when, be judged as retrograde (as shown in Figure 2).
As further improved, from each road obtains 3 to 5 photos in video within the scope of the town road.
The foregoing is merely the preferred embodiment of the present invention, are not intended to restrict the invention, for this field
For technical staff, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any
Modification, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (7)
1. a kind of control method of the retrograde crash helmet of intelligent recognition, which is characterized in that the crash helmet body, setting exist
GPS module and electronic map in the helmet main body, and the video acquisition device in front of the helmet main body is set,
The control method the following steps are included:
S1 obtains the video in the GPS position information and moving direction of user;
S2 obtains user from the video and enters town road model according to the GPS position information and electronic map information
Enclose interior video;
S3 from obtaining an at least photo within the scope of the town road in video, and an at least photo is sent to
Server, the server are used for according to described that at least a photo to identify the behavior of user, judge whether to drive in the wrong direction.
2. control method according to claim 1, which is characterized in that in step s 2, further comprise:
S21, video within the scope of town road described in automatic lockout, so that video is uncovered and deletes within the scope of the town road
It removes.
3. control method according to claim 1, which is characterized in that the server is used for according to an at least Zhang Zhao
Identifying referring to figure to the behavior of user in piece, judges whether to drive in the wrong direction.
4. control method according to claim 3, which is characterized in that the object of reference is automobile or road arrow.
5. control method according to claim 4, which is characterized in that when the object of reference is automobile, when described at least one
When reference figure in photo be automobile tail, judge that nothing is retrograde;When the reference figure in an at least photo is Automobile
When head, it is judged as retrograde.
6. control method according to claim 4, which is characterized in that the object of reference be road arrow when, when it is described extremely
Reference figure in a few photo be road arrow forward when, judge that nothing is retrograde;When the reference figure in an at least photo
When for road arrow backward, it is judged as retrograde.
7. control method according to claim 1, which is characterized in that in step s3, out of described town road
Each road obtains 3 to 5 photos in video.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CN201811327397.XA CN109480375B (en) | 2018-11-08 | 2018-11-08 | Control method of safety helmet capable of intelligently identifying retrograde motion |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
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CN201811327397.XA CN109480375B (en) | 2018-11-08 | 2018-11-08 | Control method of safety helmet capable of intelligently identifying retrograde motion |
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CN109480375A true CN109480375A (en) | 2019-03-19 |
CN109480375B CN109480375B (en) | 2021-05-14 |
Family
ID=65694124
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CN201811327397.XA Active CN109480375B (en) | 2018-11-08 | 2018-11-08 | Control method of safety helmet capable of intelligently identifying retrograde motion |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111028491A (en) * | 2019-12-27 | 2020-04-17 | 苏州欧孚网络科技股份有限公司 | System and method for monitoring safe food delivery of rider |
Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101025862A (en) * | 2007-02-12 | 2007-08-29 | 吉林大学 | Video based mixed traffic flow parameter detecting method |
CN103310202A (en) * | 2013-06-27 | 2013-09-18 | 西安电子科技大学 | System and method for guaranteeing driving safety |
CN105718865A (en) * | 2016-01-15 | 2016-06-29 | 武汉光庭科技有限公司 | System and method for road safety detection based on binocular cameras for automatic driving |
CN106323309A (en) * | 2015-06-30 | 2017-01-11 | Lg电子株式会社 | Advanced driver assistance apparatus, display apparatus for vehicle and vehicle |
CN106379231A (en) * | 2016-12-07 | 2017-02-08 | 南京科技职业学院 | Safety driving device for electric vehicle and anti-collision method |
CN106805344A (en) * | 2015-11-28 | 2017-06-09 | 襄阳市诸葛亮中学 | The helmet with camera |
CN107270924A (en) * | 2017-07-20 | 2017-10-20 | 北京小度信息科技有限公司 | Navigation circuit generation method, device, equipment and electric car |
CN107274666A (en) * | 2017-08-03 | 2017-10-20 | 周初 | A kind of specification shares the monitoring system and method for bicycle driving behavior |
US20170312614A1 (en) * | 2016-05-02 | 2017-11-02 | Bao Tran | Smart device |
CN107423869A (en) * | 2017-04-18 | 2017-12-01 | 黄海虹 | It is a kind of that the system for driving authority is limited based on traffic historical record |
CN107481530A (en) * | 2017-09-12 | 2017-12-15 | 深圳市易成自动驾驶技术有限公司 | Monitoring method, system and the computer-readable recording medium of traffic violations behavior |
CN107798510A (en) * | 2017-09-27 | 2018-03-13 | 北京市振隆科技股份有限公司 | Electric bicycle, motorcycle, motor tricycle monitoring management system and its method |
CN107909732A (en) * | 2017-11-08 | 2018-04-13 | 东南大学 | It is a kind of to punish shared bicycle and break rules and regulations the management method of user |
US20180270493A1 (en) * | 2015-08-29 | 2018-09-20 | University Of Warwick | Image compression |
-
2018
- 2018-11-08 CN CN201811327397.XA patent/CN109480375B/en active Active
Patent Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101025862A (en) * | 2007-02-12 | 2007-08-29 | 吉林大学 | Video based mixed traffic flow parameter detecting method |
CN103310202A (en) * | 2013-06-27 | 2013-09-18 | 西安电子科技大学 | System and method for guaranteeing driving safety |
CN106323309A (en) * | 2015-06-30 | 2017-01-11 | Lg电子株式会社 | Advanced driver assistance apparatus, display apparatus for vehicle and vehicle |
US20180270493A1 (en) * | 2015-08-29 | 2018-09-20 | University Of Warwick | Image compression |
CN106805344A (en) * | 2015-11-28 | 2017-06-09 | 襄阳市诸葛亮中学 | The helmet with camera |
CN105718865A (en) * | 2016-01-15 | 2016-06-29 | 武汉光庭科技有限公司 | System and method for road safety detection based on binocular cameras for automatic driving |
US20170312614A1 (en) * | 2016-05-02 | 2017-11-02 | Bao Tran | Smart device |
CN106379231A (en) * | 2016-12-07 | 2017-02-08 | 南京科技职业学院 | Safety driving device for electric vehicle and anti-collision method |
CN107423869A (en) * | 2017-04-18 | 2017-12-01 | 黄海虹 | It is a kind of that the system for driving authority is limited based on traffic historical record |
CN107270924A (en) * | 2017-07-20 | 2017-10-20 | 北京小度信息科技有限公司 | Navigation circuit generation method, device, equipment and electric car |
CN107274666A (en) * | 2017-08-03 | 2017-10-20 | 周初 | A kind of specification shares the monitoring system and method for bicycle driving behavior |
CN107481530A (en) * | 2017-09-12 | 2017-12-15 | 深圳市易成自动驾驶技术有限公司 | Monitoring method, system and the computer-readable recording medium of traffic violations behavior |
CN107798510A (en) * | 2017-09-27 | 2018-03-13 | 北京市振隆科技股份有限公司 | Electric bicycle, motorcycle, motor tricycle monitoring management system and its method |
CN107909732A (en) * | 2017-11-08 | 2018-04-13 | 东南大学 | It is a kind of to punish shared bicycle and break rules and regulations the management method of user |
Non-Patent Citations (1)
Title |
---|
王培 等: ""我国骑车人违规行为及安全对策"", 《工业工程》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111028491A (en) * | 2019-12-27 | 2020-04-17 | 苏州欧孚网络科技股份有限公司 | System and method for monitoring safe food delivery of rider |
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