CN107958591A - A kind of roadside parking management system based on street lamp - Google Patents
A kind of roadside parking management system based on street lamp Download PDFInfo
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- CN107958591A CN107958591A CN201711185706.XA CN201711185706A CN107958591A CN 107958591 A CN107958591 A CN 107958591A CN 201711185706 A CN201711185706 A CN 201711185706A CN 107958591 A CN107958591 A CN 107958591A
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- 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
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Abstract
The invention discloses a kind of roadside parking management system based on street lamp,Including deep learning unit,Road Detection unit and cloud data platform,The Road Detection unit is combined with street lamp,The Road Detection unit includes image capture module,Image detection module,Park determination module in violation of rules and regulations,Communication module,The Road Detection unit includes data preprocessing module,Deep neural network training module,The cloud data platform includes communication module,Information storage module,Report module in violation of rules and regulations,This programme parks cars roadside by road boundary detection unit and is detected,Convolutional neural networks model treatment is carried out then in conjunction with deep learning unit,Judge whether vehicle is parked in violation of rules and regulations,And it will judge that result and Image Acquisition information are stored,And the information that parks cars in violation of rules and regulations is sent to City supervision department and is reported,Violation processing is carried out easy to City supervision personnel.
Description
Technical field
The present invention relates to vehicle image detection technique field, more particularly to a kind of roadside parking management system based on street lamp
Background technology
As economic develops rapidly, the quantity of automobile is more and more, therefore also more next to the demand of roadside vehicle parking
Bigger, people are difficult to find suitable position to be parked during vehicle parking, and therefore, people are in parking, arbitrarily
Find empty parking space to park, or even be parked in illegal region, certain trouble is brought to city management, and cause traffic to block up
Plug, therefore put into substantial amounts of manpower and materials and supervised, but since the region area to park cars is larger, brought to supervisor
Very big difficulty, it is difficult to realize and find in time and processing, there are serious management risk.
The content of the invention
It is an object of the invention to：A kind of roadside parking management system based on street lamp is provided, it is illegal to solve existing roadside
Park the problem of problem is serious and discovery is handled not in time.
The technical solution adopted by the present invention is as follows：
A kind of roadside parking management system based on street lamp, including deep learning unit, Road Detection unit and cloud data
Platform, the Road Detection unit are combined with street lamp, and the Road Detection unit includes：
Image capture module：Roadside vehicle parking image is gathered in real time by camera；
Image detection module：The picture that image capture module gathers is input to before deep neural network model carries out to biography
Broadcast to obtain coherent detection data；
Park determination module in violation of rules and regulations：Deep learning detection module processing data are judged, judge vehicle whether in violation of rules and regulations
Park, and obtain vehicle real time position and license plate number；
Communication module：Vehicle detection and rule-breaking vehicle are judged that result is delivered to cloud data platform.
Further, the deep learning unit includes：
Data preprocessing module：Collection common vehicle types park picture in violation of rules and regulations, and the picture of collection is labeled, and form instruction
Practice collection class label；
Deep neural network training module：Training set class label is handled, compares to obtain final convolutional Neural net
Network model.
Further, the cloud data platform includes:
Communication module：Receive vehicle detection and judge result information with rule-breaking vehicle；
Information storage module：Dock received vehicle detection and judge that result is stored with rule-breaking vehicle；
Report module in violation of rules and regulations：Violation is judged that information of vehicles is sent to road supervision department and is reported.
In conclusion by adopting the above-described technical solution, the beneficial effects of the invention are as follows：
1st, in the present invention, using deep learning training module, the real time monitoring to roadside vehicle parking is realized.
2nd, by being monitored in real time and being analyzed to roadside-vehicle, whether energy first time identification decision vehicle stops in violation of rules and regulations
Put, and reported.
3rd, by carrying out evidence obtaining of taking pictures to violation vehicle, violation processing is carried out easy to City supervision personnel.
Brief description of the drawings
Fig. 1 is present system block diagram.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, it is right
The present invention is further elaborated.It should be appreciated that specific embodiment described herein is only to explain the present invention, not
For limiting the present invention.
Embodiment 1
As shown in Figure 1, a kind of roadside parking management system based on street lamp, including deep learning unit, Road Detection list
Member and cloud data platform, the Road Detection unit are combined with street lamp, and the Road Detection unit includes：
Image capture module：Roadside vehicle parking image is gathered in real time by camera；
Image detection module：The picture that image capture module gathers is input to before deep neural network model carries out to biography
Broadcast to obtain coherent detection data；
Park determination module in violation of rules and regulations：Deep learning detection module processing data are judged, judge vehicle whether in violation of rules and regulations
Park, and obtain vehicle real time position and license plate number；
Communication module：Vehicle detection and rule-breaking vehicle are judged that result is delivered to cloud data platform.
By the way that the existing street lamp of Road Detection unit and crossing is combined in this programme, since each crossing is equipped with necessarily
The street lamp of quantity, therefore easy to the detection to road vehicle, and implementation cost has been saved, and since street lamp height is higher, dress
The camera shooting visual angle fitted on street lamp is open.
Road Detection cell operation idiographic flow is as follows：
Image Acquisition：Gathered in real time by the image that parks cars to roadside of camera above street lamp.
Vehicle detection：The picture that camera is gathered in real time, which is input in the neural network model that training obtains, to be located
Reason, and draw corresponding feature mark.
Park judgement in violation of rules and regulations：Under normal circumstances, when neural network model judges that vehicle is not parked in violation of rules and regulations, park sentence in violation of rules and regulations
Surely 0 is arranged to, when judging to park in violation of rules and regulations, judgement is parked in violation of rules and regulations and is arranged to 1.
Information transmission：Vehicle detection and rule-breaking vehicle are judged that result is delivered to road supervision department cloud data platform.
Embodiment 2
On the basis of embodiment 1, the deep learning unit includes：
Data preprocessing module：Collection common vehicle types park picture in violation of rules and regulations, and the picture of collection is labeled, and form instruction
Practice collection class label；
Deep neural network training module：Training set class label is handled, compares to obtain final convolutional Neural net
Network model.
Picture and the corresponding measurement data of picture are parked in violation of rules and regulations by collecting collection common vehicle types in this programme, marks out figure
The accurate location of the accurate location of vehicle and car plate in piece, obtains the vehicle data picture for meeting application scenarios containing label,
And the image data that parks cars in violation of rules and regulations is collected, violation stand is labeled, obtains the rule-breaking vehicle for meeting application scenarios
Park and apply picture concrete class label.
Corresponding neural network model is designed, loads the training set picture containing label, propagated forward learning training collection figure
Vehicle characteristics and the feature that parks cars in violation of rules and regulations in sheet data, obtain the class label of convolutional neural networks model output.
Calculate the loss function between the class label and training sample concrete class label of propagated forward study output
Loss function value, is adjusted the weight matrix of convolutional layer by value by the method backpropagation of minimization error, so as to obtain final
Convolutional neural networks model.
Embodiment 3
On the basis of embodiment 1, the cloud data platform includes:
Communication module：Receive vehicle detection and judge result information with rule-breaking vehicle；
Information storage module：Dock received vehicle detection and judge that result is stored with rule-breaking vehicle；
Report module in violation of rules and regulations：Violation is judged that information of vehicles is sent to road supervision department and is reported.
The communication module of cloud data platform receives vehicle detection and judges result information with rule-breaking vehicle, when parking judgement in violation of rules and regulations
For 0, received data packet includes real-time vehicle location and corresponding car plate position, parks in violation of rules and regulations when being determined as 1, that is, is determined as vehicle
In the case of parking in violation of rules and regulations, received data packet includes real-time vehicle location and corresponding car plate position and picture of taking pictures in violation of rules and regulations, and
Report information is sent to road supervision department.
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 (3)
1. a kind of roadside parking management system based on street lamp, including deep learning unit, Road Detection unit and cloud data are put down
Platform, it is characterised in that the Road Detection unit is combined with street lamp, and the Road Detection unit includes：
Image capture module：Roadside vehicle parking image is gathered in real time by camera；
Image detection module：The picture that image capture module gathers is input to deep neural network model progress propagated forward to obtain
To coherent detection data；
Park determination module in violation of rules and regulations：Deep learning detection module processing data are judged, judge whether vehicle is parked in violation of rules and regulations,
And obtain vehicle real time position and license plate number；
Communication module：Vehicle detection and rule-breaking vehicle are judged that result is delivered to cloud data platform.
A kind of 2. roadside parking management system based on street lamp according to claim 1, it is characterised in that the depth
Practising unit includes：
Data preprocessing module：Collection common vehicle types park picture in violation of rules and regulations, and the picture of collection is labeled, and form training set
Class label；
Deep neural network training module：Training set class label is handled, compares to obtain final convolutional neural networks mould
Type.
A kind of 3. roadside parking management system based on street lamp according to claim 1, it is characterised in that the cloud data
Platform includes:
Communication module：Receive vehicle detection and judge result information with rule-breaking vehicle；
Information storage module：Dock received vehicle detection and judge that result is stored with rule-breaking vehicle；
Report module in violation of rules and regulations：Violation is judged that information of vehicles is sent to road supervision department and is reported.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711185706.XA CN107958591A (en) | 2017-11-23 | 2017-11-23 | A kind of roadside parking management system based on street lamp |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711185706.XA CN107958591A (en) | 2017-11-23 | 2017-11-23 | A kind of roadside parking management system based on street lamp |
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| Publication Number | Publication Date |
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| CN107958591A true CN107958591A (en) | 2018-04-24 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201711185706.XA Pending CN107958591A (en) | 2017-11-23 | 2017-11-23 | A kind of roadside parking management system based on street lamp |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109615868A (en) * | 2018-12-20 | 2019-04-12 | 北京以萨技术股份有限公司 | A kind of video frequency vehicle based on deep learning is separated to stop detection method |
| CN109785637A (en) * | 2019-01-28 | 2019-05-21 | 平安科技（深圳）有限公司 | The assay method and device of rule-breaking vehicle |
| CN111127943A (en) * | 2019-12-26 | 2020-05-08 | 苏州麦途信息技术有限公司 | Electric vehicle illegal parking prohibition management system |
-
2017
- 2017-11-23 CN CN201711185706.XA patent/CN107958591A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109615868A (en) * | 2018-12-20 | 2019-04-12 | 北京以萨技术股份有限公司 | A kind of video frequency vehicle based on deep learning is separated to stop detection method |
| CN109785637A (en) * | 2019-01-28 | 2019-05-21 | 平安科技（深圳）有限公司 | The assay method and device of rule-breaking vehicle |
| CN111127943A (en) * | 2019-12-26 | 2020-05-08 | 苏州麦途信息技术有限公司 | Electric vehicle illegal parking prohibition management system |
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| PB01 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180424 |