CN108171180A - A kind of strong light recognition methods of electric bicycle, device - Google Patents
A kind of strong light recognition methods of electric bicycle, device Download PDFInfo
- Publication number
- CN108171180A CN108171180A CN201711493932.4A CN201711493932A CN108171180A CN 108171180 A CN108171180 A CN 108171180A CN 201711493932 A CN201711493932 A CN 201711493932A CN 108171180 A CN108171180 A CN 108171180A
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- Prior art keywords
- driver
- strong light
- electric vehicle
- identification
- electric bicycle
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
Abstract
The strong light identification device of a kind of electric bicycle proposed by the present invention, it is excessively high for the brightness in recognition detection environment, including：Control unit, image receiver module, strong light identification module, identification electric vehicle module, identification Driver Model.It can identify the electric bicycle of the opening major light on road, identify driver, find the contact method of driver, and major light is closed by driver, and the information identified can be sent to server.
Description
Technical field
The present invention relates to a kind of strong light recognition methods of electric bicycle, devices.
Background technology
Existing Chinese patent CN200510101451.5, it is proposed that a kind of vehicular head light detector driving beam shines
Strength detecting method is that the light-intensity test plate after the lens with vehicular head light detector is moved up in the vertical plane that light beam projects
It is dynamic, after light-intensity test plate passes completely through the projection area of light beam, several photo-electric conversion elements arranged in a straight line on light-intensity test plate
The data acquired just reflect the light distribution situation on the vertical plane that entire light beam is projected in light beam, this group of data can be accurate
Ground detects vehicle head lamp driving beam luminous intensity.It realizes the testing agency of the above method, is detected in vehicle head lamp
Brightness detection plate after lens in instrument is equipped with photo-electric conversion element, and light-intensity test plate lays several opto-electronic conversions on (2)
Element (4) is arranged in a linear, and brightness detection plate (2) is in tractor (3).The present invention has compared with the prior art to be measured
Precision is high, the vehicle head lamp lamps and lanterns bad to driving beam distribution character have the advantages of good adaptability..
Existing Chinese patent CN201520820369.7, it is proposed that a kind of combined imaging suitable for LED car lamp detects
Equipment includes apparatus body, its main feature is that：Detection components are provided in apparatus body, Visual retrieval is provided with and puts down
Manipulation component is distributed on Visual retrieval platform in platform.Meanwhile the data output end of detection components and Visual retrieval platform
Data input pin be connected.Also, light fixture is installed, apparatus body is provided with energy resource supply dress on Visual retrieval platform
It puts, the output terminal of energy resource supply device is connected with the transmission of electricity port of detection components, Visual retrieval platform, light fixture.As a result,
Manpower-free visually observes, and avoids strong light injury eyes.Meanwhile coordinated by camera and industrial control computer, it realizes to LED car lamp
The detection of module luminescent color, aberration, brightness, operating current etc., detection efficiency is high, is not in flase drop, avoids artificial detection
Fatigue.Furthermore detection parameters can be adjusted according to the difference of product to be detected, there is extremely strong adaptability.
Some electric bicycles lamp installed above, intensity is larger, and light angle is higher, and the pedestrian on opposite, electric vehicle are driven
The person's of sailing glasses are by strong light stimulus, it is not easy to see road surface, unfavorable traffic safety；Particularly, part electric bicycle daytime
Forget closing vehicle lamp, it is current to influence other people.If there is a kind of automation equipment, the strong of electric bicycle can be automatically detected
Light, sends the information for closing major light to the driver of electric bicycle at the driver for identifying electric bicycle, is beneficial to change
Kind traffic.
Invention content
Technical problem：
In view of the defects existing in the prior art, the present invention proposes a kind of strong light recognition methods of electric bicycle, device, energy
It enough identifies the electric bicycle of the opening major light on road, identifies driver, the contact method of driver is found, by driving
The person of sailing closes major light, and the information identified can be sent to server.
Technical solution：
According to another aspect of the present invention, the present invention proposes a kind of strong light recognition methods of electric bicycle, including as follows
Processing step：
S21. the coloured image of continuous acquisition area to be tested；The acquisition is acquisition in real time；
S22. strong light identification：Whether there is strong light in identification image；If there is highlights domain, turn S23, there is no highlights domain,
Turn S21；
S23. electric vehicle is identified：Whether highlights domain is on electric vehicle in the picture；If it is found, turning S24, otherwise, turn
S21；
S24. driver is identified：Electric vehicle driver is looked in the picture, and using face recognition technology, identifies driver；
S25. processing terminates.
Further, one of following processing steps are at least further included：
S28. the contact method of driver is looked for：Information is reserved according to driver, finds the contact method of driver；
S29. driver is reminded：It is contacted with driver, reminds and close major light；
S30. the information identified is sent to server.
According to another aspect of the present invention, the present invention proposes a kind of strong light identification device of electric bicycle, is examined for identifying
The brightness surveyed in environment is excessively high, including：
Control unit for controlling the work of each component part, and carries out data interaction with outside；
Image receiver module, the coloured image of continuous acquisition area to be tested；The acquisition is acquisition in real time；
Strong light identification module：Whether there is strong light in identification image；
Identify electric vehicle module：Identify the highlights domain in image whether on electric vehicle；
Identify Driver Model：Electric vehicle driver is looked in the picture, and using face recognition technology, identifies driver.
Further, the strong light identification device of the electric bicycle, at least further includes one of the following：
Contact method module is looked for, information is reserved according to driver, finds the contact method of driver；
Remind Driver Model：It is contacted with driver, reminds and close major light.
Technique effect：
A kind of strong light recognition methods of electric bicycle proposed by the present invention, device, can identify that the opening on road is strong
The electric bicycle of light lamp, identifies driver, finds the contact method of driver, and major light is closed by driver, can
The information identified to server transmission.
Description of the drawings
Fig. 1 is a kind of process flow signal of the strong light recognition methods of electric bicycle of another embodiment of the present invention
Figure.
Fig. 2 is the optional process flow schematic diagram of the strong light recognition methods of electric bicycle shown in FIG. 1.
Fig. 3 is a kind of structure diagram of the strong light identification device of electric bicycle of another embodiment of the present invention：
31. control unit, 32. image receiver modules, the last 33. light identification module, 34. identification electric vehicle modules, 35. identifications
Driver Model.
Fig. 4 is a kind of structural representation Fig. 2 of the strong light identification device of electric bicycle of another embodiment of the present invention：
31. control unit, 32. image receiver modules, the last 33. light identification module, 34. identification electric vehicle modules, 35. identifications
Driver Model, 36. look for contact method module, and 37. remind Driver Model.
Specific embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, below with reference to accompanying drawings and embodiments
Carry out the embodiment that the present invention will be described in detail, how applied technology method solves technical problem, and reach to the present invention whereby
The realization process of technique effect can fully understand and implement according to this.
It is as long as each in each embodiment and each embodiment in the present invention it should be noted that do not form conflict
Feature can be combined with each other, and the technical solution formed is within protection scope of the present invention.
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Embodiment one
Fig. 1 is a kind of process flow signal of the strong light recognition methods of electric bicycle of another embodiment of the present invention
Figure；As shown in figure 3, including following processing steps：
S21. the coloured image of continuous acquisition area to be tested；The acquisition is acquisition in real time；Preferably, it is without number
The original image of processing；
S22. strong light identification：Whether there is strong light in identification image；If there is highlights domain, turn S23, there is no highlights domain,
Turn S21；Strong light is identified according to local strength in image is excessively high；
S23. electric vehicle is identified：Identify the highlights domain in image whether on electric vehicle；If it is found, turn S24, it is no
Then, turn S21；Electric vehicle in image is identified with image-recognizing method；With the distance between highlights domain and electric vehicle region etc.
To carry out discriminatory analysis；
S24. driver is identified：Electric vehicle driver is looked in the picture, and using face recognition technology, identifies driver；
Driver in image is identified with image-recognizing method, then, using face recognition technology, identifies driver；
S25. processing terminates.
Embodiment two
Fig. 2 is the optional process flow schematic diagram of the strong light recognition methods of electric bicycle shown in FIG. 1；As shown in Fig. 2, extremely
One of following processing steps are further included less, it is preferred that are all included：
S28. the contact method of driver is looked for：Information is reserved according to driver, finds the contact method of driver；According to driving
Household register, the mobile phone register information for the person of sailing find its contact method；
S29. driver is reminded：It is contacted with driver, reminds and close major light；
S30. the information identified is sent to server；After server receives, storage is spare.
Embodiment three
Fig. 3 is a kind of structure diagram of the strong light identification device of electric bicycle of another embodiment of the present invention, is used
Brightness in recognition detection environment is excessively high, driver to be reminded to solve in time, as shown in figure 3, including：Control unit 31, figure
As receiving module 32, strong light identification module 33, identification electric vehicle module 34, identification Driver Model 35.
Control unit 31 for controlling the work of each component part, and carries out data interaction with outside；For computer control
Device processed, including motherboard and microprocessor (CPU) etc., preferably cell phone controller；
Image receiver module 32, for the coloured image of continuous acquisition area to be tested；The acquisition is acquisition in real time；It is excellent
Choosing, be the original image without digital processing；
Strong light identification module 33, identifies in image whether there is strong light；
Identify electric vehicle module 34：Identify the highlights domain in image whether on electric vehicle；Known with image-recognizing method
Electric vehicle in other image；
Identify Driver Model 35：Electric vehicle driver is looked in the picture, and using face recognition technology, identification drives
Member.
Embodiment four
Fig. 4 is a kind of structural representation Fig. 2 of the strong light identification device of electric bicycle of another embodiment of the present invention, is used
Brightness in recognition detection environment is excessively high, driver to be reminded to solve in time, as shown in figure 4, including：Control unit 31, figure
As receiving module 32, strong light identification module 33, identification electric vehicle module 34, identification Driver Model 35, look for contact method module
36th, Driver Model 37 is reminded.
The difference lies in embodiment four at least further includes one of the following to embodiment four with embodiment three：It looks for
Contact method module 36 reminds Driver Model 37；Preferably, it all includes.
Contact method module 36 is looked for, information is reserved according to driver, finds the contact method of driver；
Remind Driver Model 37：It is contacted with driver, reminds and close major light.
It should be noted that：After received server-side to prompting message, record, and give notice to related personnel；Especially
It is that the contact method of car owner is searched according to license plate number, notifies car owner automatically；When the cell-phone number for finding car owner, automatic dialing connection
It is that car owner solves in time.
The above, only specific implementation case of the invention, protection scope of the present invention is not limited thereto, any ripe
Those skilled in the art are known in technical specification of the present invention, modifications of the present invention or replacement all should be in the present invention
Protection domain within.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
All any modification, equivalent and improvement made within refreshing and principle etc., should all be included in the protection scope of the present invention.
Claims (4)
1. a kind of strong light recognition methods of electric bicycle, it is characterised in that：Including following processing step：
S21. the coloured image of continuous acquisition area to be tested；The acquisition is acquisition in real time；
S22. strong light identification：Whether there is strong light in identification image；If there is highlights domain, turn S23, there is no highlights domain, turn
S21；
S23. electric vehicle is identified：Identify the highlights domain in image whether on electric vehicle；If it is found, turning S24, otherwise, turn
S21；
S24. driver is identified：Electric vehicle driver is looked in the picture, and using face recognition technology, identifies driver；
S25. processing terminates.
2. the strong light recognition methods of electric bicycle according to claim 1, it is characterised in that：At least further include following processing
One of step：
S28. the contact method of driver is looked for：Information is reserved according to driver, finds the contact method of driver；
S29. driver is reminded：It is contacted with driver, reminds and close major light.
3. a kind of strong light identification device of electric bicycle, excessively high for the brightness in recognition detection environment, it is characterised in that：Packet
It includes：
Control unit for controlling the work of each component part, and carries out data interaction with outside；
Image receiver module, the coloured image of continuous acquisition area to be tested；The acquisition is acquisition in real time；
Strong light identification module：Whether there is strong light in identification image；
Identify electric vehicle module：Whether highlights domain is on electric vehicle in the picture；
Identify Driver Model：Electric vehicle driver is looked in the picture, and using face recognition technology, identifies driver.
4. a kind of strong light identification device of electric bicycle according to claim 3, it is characterised in that：It at least further includes following
One of：
The contact method module of driver is looked for, information is reserved according to driver, finds the contact method of driver；
Remind Driver Model：It is contacted with driver, reminds and close major light.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711493932.4A CN108171180A (en) | 2017-12-31 | 2017-12-31 | A kind of strong light recognition methods of electric bicycle, device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711493932.4A CN108171180A (en) | 2017-12-31 | 2017-12-31 | A kind of strong light recognition methods of electric bicycle, device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108171180A true CN108171180A (en) | 2018-06-15 |
Family
ID=62516574
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711493932.4A Withdrawn CN108171180A (en) | 2017-12-31 | 2017-12-31 | A kind of strong light recognition methods of electric bicycle, device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108171180A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110895663A (en) * | 2018-09-12 | 2020-03-20 | 杭州海康威视数字技术股份有限公司 | Two-wheel vehicle identification method and device, electronic equipment and monitoring system |
| CN111426487A (en) * | 2020-04-21 | 2020-07-17 | 特路（北京）科技有限公司 | Backlight test field and test method for automatic driving vehicle |
-
2017
- 2017-12-31 CN CN201711493932.4A patent/CN108171180A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110895663A (en) * | 2018-09-12 | 2020-03-20 | 杭州海康威视数字技术股份有限公司 | Two-wheel vehicle identification method and device, electronic equipment and monitoring system |
| CN111426487A (en) * | 2020-04-21 | 2020-07-17 | 特路（北京）科技有限公司 | Backlight test field and test method for automatic driving vehicle |
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| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180615 |
|
| WW01 | Invention patent application withdrawn after publication |