CN109480375B - Control method of safety helmet capable of intelligently identifying retrograde motion - Google Patents
Control method of safety helmet capable of intelligently identifying retrograde motion Download PDFInfo
- Publication number
- CN109480375B CN109480375B CN201811327397.XA CN201811327397A CN109480375B CN 109480375 B CN109480375 B CN 109480375B CN 201811327397 A CN201811327397 A CN 201811327397A CN 109480375 B CN109480375 B CN 109480375B
- Authority
- CN
- China
- Prior art keywords
- control method
- road
- reference object
- video
- photo
- Prior art date
- 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.)
- Active
Links
Images
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
Landscapes
- Emergency Alarm Devices (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention provides a control method of a safety helmet capable of intelligently identifying retrograde motion, which comprises a safety helmet body, a GPS module and an electronic map which are arranged on the helmet body, and a video acquisition device arranged in front of the helmet body, wherein the control method comprises the following steps: s1, acquiring GPS position information of the user and a video in the moving direction; s2, acquiring videos of users entering the municipal road range from the videos according to the GPS position information and the electronic map information; s3, obtaining at least one photo from the video within the municipal road range, and sending the at least one photo to a server, wherein the server is used for identifying the behavior of the user according to the at least one photo and judging whether the user is in the wrong direction.
Description
Technical Field
The invention relates to a control method of a safety helmet capable of intelligently identifying retrograde motion.
Background
Currently, in the field of the express or take-away industry, the wearing of helmets has become a standard fit for the personal safety of couriers. The camera is generally equipped with in the present helmet, but install the camera on the helmet only in prior art and be used for the video recording, can't carry out effectual evaluation to express delivery personnel's action when having a dinner or sending the express delivery, and then play the effective restraint to express delivery personnel's action when having a dinner or sending the express delivery to guarantee express delivery personnel or meal delivery personnel's safety.
Disclosure of Invention
The invention provides a control method of a safety helmet capable of intelligently identifying retrograde motion, which can effectively solve the problems.
The invention is realized by the following steps:
a control method for intelligently identifying a retrograde safety helmet comprises the following steps of:
s1, acquiring GPS position information of the user and a video in the moving direction;
s2, acquiring videos of users entering the municipal road range from the videos according to the GPS position information and the electronic map information;
s3, obtaining at least one photo from the video within the municipal road range, and sending the at least one photo to a server, wherein the server is used for identifying the behavior of the user according to the at least one photo and judging whether the user is in the wrong direction.
As a further improvement, in step S2, the method further includes:
and S21, automatically locking the town road video so that the town road video is not covered and deleted.
As a further improvement, the server is configured to identify a behavior of the user according to a reference object in the at least one photo, and determine whether the user is moving backwards.
As a further refinement, the reference object is a car or road arrow.
As a further improvement, when the reference object is an automobile, judging that the vehicle is not in the wrong direction when the reference object in the at least one picture is the tail of the automobile; and when the reference object in the at least one photo is the head of the automobile, judging that the automobile is running backwards.
As a further improvement, when the reference object is a road arrow, judging that the vehicle is not in reverse driving when the reference object in the at least one photo is a road arrow; and when the reference object in the at least one picture is the backward road arrow, judging that the vehicle is running backwards.
As a further refinement, in step S3, 3 to 5 photographs are taken of each road in the town road-wide video.
The invention has the beneficial effects that: according to the method and the device, at least one photo is captured from the video within the municipal road range and sent to the server, the server identifies the behavior of the user according to the at least one photo and judges whether the user is in the wrong direction, so that the behavior of express delivery personnel during food delivery or express delivery can be effectively evaluated, effective constraint on the behavior of the express delivery personnel during food delivery or express delivery is achieved, and the safety of the express delivery personnel is guaranteed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of a control method for intelligently identifying a retrograde safety helmet according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a safety helmet capable of intelligently identifying a wrong-way driving according to an embodiment of the present invention in determining whether the wrong way driving is performed.
Fig. 3 is a schematic diagram of a safety helmet capable of intelligently identifying a wrong-way driving according to an embodiment of the present invention in determining whether the wrong way driving is performed.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1, a control method for intelligently identifying a retrograde-motion safety helmet includes a safety helmet body, a GPS module and an electronic map which are arranged on the helmet body, and a video capture device which is arranged in front of the helmet body, and includes the following steps:
s1, acquiring GPS position information of the user and a video in the moving direction;
s2, acquiring videos of users entering the municipal road range from the videos according to the GPS position information and the electronic map information;
s3, obtaining at least one photo from the video within the municipal road range, and sending the at least one photo to a server, wherein the server is used for identifying the behavior of the user according to the at least one photo and judging whether the user is in the wrong direction.
In step S1, the GPS position information of the user may be acquired in real time by a GPS module provided on the helmet body. And the video of the user in the moving direction is acquired in real time through the video acquisition device.
In step S2, the step of acquiring a video of the user entering the town road from the video according to the GPS position information and the electronic map information includes:
s22, acquiring road information through the electronic map;
and S23, acquiring the video from the range from the moment that the user GPS position information enters a certain road to the moment that the user GPS position information leaves the road.
As a further improvement, in step S2, the method further includes:
and S21, automatically locking the town road video so that the town road video is not covered and deleted.
In step S3, the server is configured to recognize the behavior of the user according to the reference object in the at least one photo, and determine whether the user is traveling in the wrong direction. The reference object may be a car or a road arrow.
In one embodiment, when the reference object is an automobile, judging that the vehicle is not in the wrong direction when the reference object in the at least one picture is the tail of the automobile; and when the reference object in the at least one photo is the head of the automobile, judging that the automobile is running backwards.
Referring to fig. 2-3, in one embodiment, when the reference object is a road arrow, when the reference object in the at least one photo is a road arrow, it is determined that there is no reverse running (as shown in fig. 3); when the reference object in the at least one photo is the backward direction of the road arrow, the photo is determined to be in the wrong direction (as shown in fig. 2).
As a further refinement, 3 to 5 photographs are taken of each road in the town road-wide video.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A control method of a safety helmet capable of intelligently identifying retrograde motion is characterized by comprising a safety helmet body, a GPS module and an electronic map which are arranged on the helmet body, and a video acquisition device arranged in front of the helmet body, wherein the control method comprises the following steps:
s1, acquiring GPS position information of the user and a video in the moving direction;
s2, acquiring videos of users entering the municipal road range from the videos according to the GPS position information and the electronic map information;
s3, acquiring at least one photo from the video within the municipal road range, and sending the at least one photo to a server, wherein the server is used for identifying the behavior of the user according to the at least one photo and judging whether the user is in the wrong direction;
the wearing user of the safety helmet body is express delivery personnel or meal delivery personnel;
in step S2, the method further includes:
and S21, automatically locking the town road video so that the town road video is not covered and deleted.
2. The control method according to claim 1, wherein the server is configured to identify a behavior of the user based on a reference object in the at least one photo and determine whether the user is traveling in a wrong direction.
3. Control method according to claim 2, characterized in that the reference object is a car or a road arrow.
4. The control method according to claim 3, wherein when the reference object is an automobile, it is determined that there is no reverse travel when the reference object in the at least one picture is the tail of the automobile; and when the reference object in the at least one photo is the head of the automobile, judging that the automobile is running backwards.
5. The control method according to claim 3, wherein when the reference object is a road arrow, it is determined that there is no reverse travel when the reference object in the at least one photograph is a road arrow forward; and when the reference object in the at least one picture is the backward road arrow, judging that the vehicle is running backwards.
6. The control method according to claim 1, wherein in step S3, 3 to 5 photographs are taken of each road in the town road-wide video.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| 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 |
|---|---|---|---|
| CN201811327397.XA CN109480375B (en) | 2018-11-08 | 2018-11-08 | Control method of safety helmet capable of intelligently identifying retrograde motion |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109480375A CN109480375A (en) | 2019-03-19 |
| CN109480375B true CN109480375B (en) | 2021-05-14 |
Family
ID=65694124
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811327397.XA Active CN109480375B (en) | 2018-11-08 | 2018-11-08 | Control method of safety helmet capable of intelligently identifying retrograde motion |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109480375B (en) |
Families Citing this family (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 (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN106805344A (en) * | 2015-11-28 | 2017-06-09 | 襄阳市诸葛亮中学 | The helmet with camera |
| 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 |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100538763C (en) * | 2007-02-12 | 2009-09-09 | 吉林大学 | Mixed traffic flow parameters detection method based on video |
| GB201515415D0 (en) * | 2015-08-29 | 2015-10-14 | Univ Warwick | Image compression |
| 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 |
| US10046229B2 (en) * | 2016-05-02 | 2018-08-14 | 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 |
| CN107423869B (en) * | 2017-04-18 | 2018-05-18 | 南京理工大学 | It is a kind of that the system for driving permission 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 |
| CN107274666B (en) * | 2017-08-03 | 2019-05-31 | 周初 | A kind of monitoring system and method standardizing shared bicycle driving 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 |
-
2018
- 2018-11-08 CN CN201811327397.XA patent/CN109480375B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN106805344A (en) * | 2015-11-28 | 2017-06-09 | 襄阳市诸葛亮中学 | The helmet with camera |
| 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109480375A (en) | 2019-03-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109427114B (en) | Information processing method, information processing apparatus, and recording medium | |
| US11120282B2 (en) | Traffic violation vehicle identification system, server and non-transitory recording medium in which vehicle control program is recorded | |
| US9460601B2 (en) | Driver distraction and drowsiness warning and sleepiness reduction for accident avoidance | |
| JP6853494B2 (en) | Drive recorder | |
| US20180359445A1 (en) | Method for Recording Vehicle Driving Information and Creating Vehicle Record by Utilizing Digital Video Shooting | |
| JP6817531B2 (en) | Operation status recording device | |
| JP6534103B2 (en) | Recording apparatus and image reproduction method | |
| US11895432B2 (en) | Recording control apparatus, recording control method, and recording control program | |
| US11479260B1 (en) | Systems and methods for proximate event capture | |
| CN101601077A (en) | The driver management device and the management system of travelling | |
| US20210089787A1 (en) | Systems and methods of legibly capturing vehicle markings | |
| JP4669448B2 (en) | Information recording apparatus, information recording method, and program | |
| CN106875696A (en) | The system and method and drive recorder of automatic identification traffic violations illegal activities | |
| CN109480375B (en) | Control method of safety helmet capable of intelligently identifying retrograde motion | |
| JP2002342883A (en) | Dangerous driving suppressing device | |
| WO2020258720A1 (en) | Blocking detection method and apparatus for image acquisition device, device, and storage medium | |
| CN111016913B (en) | Driver state control system and method based on image information | |
| JP7151449B2 (en) | Information processing system, program, and information processing method | |
| CN109344776A (en) | Data processing method | |
| KR20170027093A (en) | Apparatus for providing the moving body around vehicle | |
| JP2021184547A (en) | Data recording device and method | |
| JP7254000B2 (en) | Image delivery device and method, and image delivery system | |
| JP2008226075A (en) | Operation state recording device | |
| CN114906135A (en) | Unpredictable vehicle driving scenario | |
| CN109619744B (en) | Control method of safety helmet capable of intelligently identifying red light running |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |