CN109754621A - A kind of video analysis method based on Freeway Conditions situation - Google Patents
A kind of video analysis method based on Freeway Conditions situation Download PDFInfo
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- CN109754621A CN109754621A CN201910154831.7A CN201910154831A CN109754621A CN 109754621 A CN109754621 A CN 109754621A CN 201910154831 A CN201910154831 A CN 201910154831A CN 109754621 A CN109754621 A CN 109754621A
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Abstract
The invention belongs to Video Analysis Technology fields, more particularly to a kind of video analysis method based on Freeway Conditions situation, including carrying out the video monitoring module of picture typing, the road conditions output module that road vehicle is carried out the behavioural analysis module of data calculating and broadcasted road conditions to vehicle on road;Video data is input in the behavioural analysis module by the video monitoring module, and the behavioural analysis module calculates result and broadcasted by the road conditions output module;Road conditions are analyzed by the method on super expressway using video acquisition, and vehicle is broadcasted by way of radio, vehicle is avoided in this way in the case where network is bad, congested with cars is on super expressway caused by can not obtaining to road information, and the road aggravation paralysis made, without convenient and fast road early warning is provided suspected of vehicle, indispensable role is played to road conditions are adjusted.
Description
Technical field
The invention belongs to Video Analysis Technology fields, and in particular to a kind of video analysis based on Freeway Conditions situation
Method.
Background technique
Video analysis, Video Analysis Technology are exactly to use computer picture Visual analysis techniques, by by background in scene
It is separated with target and then analyzes and track the target occurred in camera scene.User can basis video content analysis function
Can, by presetting different alarm rules in the scene of different cameras, make a reservation for once target occurs violating in the scene
The behavior of adopted rule, system can issue alarm automatically, and monitor workstation automatic spring warning message simultaneously issues caution sound, Yong Huke
To realize that the scene of alarm is recombinated and taken measures on customs clearance, Video content analysis technique is by can by clicking warning message
Depending on surveillance camera video image analyzed, and have to a variety of back such as wind, rain, snow, fallen leaves, flying bird, the flags that waves
The filter capacity of scape uses various filters, row by the high-speed computational capability of computer by establishing the model of mankind's activity
Except inhuman disturbing factor in monitoring scene, various activities of the accurate judgement mankind in video monitor image.
On the undesirable highway of network, can not the normal use network equipment, and since road is longer, vehicle is in high speed
When running on road, possibly it can not know that the jam situation of super expressway is not only difficult to exit if driver has driven into congested link
Fastlink, and will increase congestion level, therefore need a kind of by other means to detect the road conditions of highway
Method.
Summary of the invention
The purpose of the present invention is to provide a kind of video analysis methods based on Freeway Conditions situation, have and pass through view
Frequency analysis.
To achieve the above object, the invention provides the following technical scheme: a kind of video based on Freeway Conditions situation
Analysis method, including carrying out the video monitoring module of picture typing to vehicle on road, carrying out data calculating to road vehicle
Behavioural analysis module and the road conditions output module that road conditions are broadcasted;Video data is input to institute by the video monitoring module
It states in behavioural analysis module, the behavioural analysis module calculates result and broadcasted by the road conditions output module, described
Road conditions output module is connect by wireless system with user's signals of vehicles.
Preferably, the video monitoring module includes outlet side monitoring, middle section monitoring and outlet side monitoring, the entrance
Side monitors the inlet for being mounted on fastlink to be detected, and the outlet side monitoring is mounted on the outlet of fastlink to be detected
Side.
Preferably, the middle section monitoring is mounted on the middle section of fastlink to be detected, and quantity is the nine of the road section length
/ mono-, adjacent middle section monitoring is uniformly distributed.
Preferably, the middle section monitoring is mounted on the middle section of fastlink to be detected, and the middle section monitoring quantity is at least
One, and the spacing between two middle section monitoring in the high-incidence section of accident is greater than two middle sections prison in the low hair section of accident
Spacing between control.
Preferably, the outlet side monitoring, middle section monitoring and outlet side monitoring pass through data cable and the behavior
The connection of analysis module signal.
Preferably, the behavioural analysis module includes link entry and outlet vehicle computing unit, vehicle speed detection list
Member and vehicle aggregation rate computing unit, the link entry and outlet vehicle computing unit are for calculating entering for road to be detected
The vehicle fleet size of mouth side and outlet side, the vehicle speed detection unit is for monitoring average speed of the vehicle in detection range
And acceleration, the vehicle aggregation rate computing unit is for monitoring the distance between two vehicles change rate.
Preferably, the road condition output module exports road condition by vehicle-mounted broadcasting radio station, and road condition includes
Predicted congestion status, operational excellence state and prediction accident condition.
Preferably, the vehicle fleet size monitoring result of the entrance side of the road and outlet side: entrance vehicle is greater than outlet vehicle
Perhaps vehicle speed detection unit testing result: speed is lower than defined minimum speed or the vehicle aggregation rate meter
Calculate unit calculated result: aggregation rate becomes larger between vehicle, wherein two generations, that is, be determined as predicted congestion status.
Preferably, the vehicle aggregation rate computing unit calculated result: aggregation rate becomes smaller between vehicle, while the road
The entrance side on road and the vehicle fleet size monitoring result of outlet side: entrance vehicle is less than outlet vehicle or vehicle speed detection unit
Testing result: speed is greater than defined minimum speed, that is, is determined as operational excellence.
Preferably, vehicle speed detection unit testing result: speed is lower than the one third of defined minimum speed, simultaneously
The vehicle aggregation rate computing unit calculated result: aggregation rate becomes larger between vehicle, wherein two generations, that is, be judged to predicting
Accident condition.
Compared with prior art, the beneficial effects of the present invention are:
1, the side for road conditions being analyzed by the method on super expressway using video acquisition, and passing through radio
Formula broadcasts vehicle, avoids vehicle in this way in the case where network is bad, road information can not be obtained and
Caused congested with cars is on super expressway, and the road aggravation paralysis made, nothing provide convenient and fast road early warning suspected of vehicle,
Indispensable role is played to road conditions are adjusted;
2, super expressway is equipped with multiple for obtaining the video monitoring of road video information, entrance, outlet to road
And intermediate section is detected, the data of the vehicle available in this way inlet on road and the amount of being driven out to, it can be with
The vehicle aggregation situation of vehicle speed information and vehicle on road driving on the road is detected, can be pushed away by these data
Calculate the state being likely to occur on road, it is particularly possible to determine jam situation, timely issue relevant information, remind
To enter the vehicle of road.
Detailed description of the invention
Fig. 1 is the principle of the present invention block diagram.
Specific embodiment
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 description, 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.
Referring to Fig. 1, the present invention provides a kind of technical solution: a kind of video analysis side based on Freeway Conditions situation
Method, including carrying out the video monitoring module of picture typing to vehicle on road, carrying out the behavior point of data calculating to road vehicle
Analysis module and the road conditions output module that road conditions are broadcasted;Video data is input to behavioural analysis module by video monitoring module
In, behavioural analysis module calculates result and is broadcasted by road conditions output module, and road conditions output module passes through wireless system
It is connect with user's signals of vehicles.
In the present embodiment, video data is input in behavioural analysis module by video monitoring module, behavioural analysis module meter
It calculates result to be broadcasted by road conditions output module, road conditions output module is connected by wireless system and user's signals of vehicles
It connects, super expressway is equipped with multiple video monitorings for being used to obtain road video information, to the entrance of road, outlet and centre
Section is detected, and the data of the vehicle available in this way inlet on road and the amount of being driven out to can also detect vehicle
The aggregation situation of vehicle speed information and vehicle on road driving on the road can extrapolate road by these data
On the state that is likely to occur, it is particularly possible to jam situation is determined, timely issue relevant information, inlet channel is wanted in prompting
The side that the vehicle on road analyzes road conditions by the method on super expressway using video acquisition, and passes through radio
Formula broadcasts vehicle, avoids vehicle in this way in the case where network is bad, road information can not be obtained and
Caused congested with cars is on super expressway, and the road aggravation paralysis made, nothing provide convenient and fast road early warning suspected of vehicle,
Indispensable role is played to road conditions are adjusted.
Specifically, video monitoring module includes outlet side monitoring, middle section monitoring and outlet side monitoring, entrance side monitoring peace
Mounted in the inlet of fastlink to be detected, outlet side monitors the outlet side for being mounted on fastlink to be detected, by being mounted on
The entrance side of the inlet of fastlink to be detected monitors, and can count, pass through to the vehicle entered in fastlink
It is mounted on the outlet side monitoring in the exit of fastlink to be detected, the vehicle for being driven out to fastlink can be counted,
The amount of being driven out to is subtracted by inlet, the sum for entering the vehicle of fastlink is counted with this, when saturation is excessively high, is occurred
A possibility that congestion, is larger.
Specifically, middle section monitoring is mounted on the middle section of fastlink to be detected, and quantity be the road section length nine/
One, adjacent middle section monitoring is uniformly distributed, and can be installed according to actual link length, adjacent middle section monitors clipping room
It is divided into 20KM, by middle section monitoring convenient for being detected to operating condition of the vehicle on road, is monitored for some middle section
The speed of upper a large amount of vehicle changes, and the foundation that road is abnormal can be determined as with this.
Specifically, middle section monitoring is mounted on the middle section of fastlink to be detected, middle section monitoring quantity is at least one, and
Spacing between two middle sections monitoring in the high-incidence section of accident is greater than the spacing between two middle sections monitoring in the low hair section of accident,
Installation can greatly improve the utilization rate to equipment in this way, to increase the means of monitoring quantity, carry out more to road conditions
The detection of refinement keeps early warning more accurate reliable, is examined by middle section monitoring to operating condition of the vehicle on road
It surveys, the speed for monitoring upper a large amount of vehicle for some middle section changes, and can be determined as what road was abnormal with this
Foundation.
Specifically, outlet side monitoring, middle section monitoring and outlet side monitoring pass through data cable and behavioural analysis module
Signal connection, due to being connected by data cable, it is ensured that the timeliness of data transmission is conducive to vehicle user and gets reality
When, accurate, reliable information.
Specifically, behavioural analysis module include link entry and outlet vehicle computing unit, vehicle speed detection unit and
Vehicle aggregation rate computing unit, link entry and outlet vehicle computing unit are used to calculate the entrance side of road to be detected and go out
The vehicle fleet size of mouth side, vehicle speed detection unit are used to monitor average speed and acceleration of the vehicle in detection range,
Vehicle aggregation rate computing unit by the entrance side to road to be detected and goes out for monitoring the distance between two vehicles change rate
The vehicle fleet size of mouthful side calculates the vehicle fleet size data obtained in road, by average speed of the vehicle in detection range and
Acceleration may determine that the operation conditions of vehicle, the data of comprehensive continuous several monitoring points can judge that vehicle operation is not
It is in the state of steady, if there are apparent reductions of speed, if occurring, may get congestion situation, according between two vehicles
Range rate can judge the congested conditions between vehicle.
Specifically, road condition output module exports road condition by vehicle-mounted broadcasting radio station, road condition includes prediction
Congestion status, operational excellence state and prediction accident condition, the user for conveniently receiving broadcast judge whether to enter high speed, Huo Zhejin
Row changes its course.
Specifically, the entrance side of road and the vehicle fleet size monitoring result of outlet side: entrance vehicle is greater than outlet vehicle, or
Person's vehicle speed detection unit testing result: speed is lower than defined minimum speed or vehicle aggregation rate computing unit meter
Calculate result: aggregation rate becomes larger between vehicle, wherein two generations, that is, be determined as predicted congestion status, if entrance vehicle is greater than
Mouthful vehicle and a possibility that speed is lower than defined minimum speed, then gets congestion is larger, and can be monitored and be installed according to middle section
Position, judge the position of congested link, if if entrance vehicle be greater than outlet vehicle and vehicle between aggregation rate become larger, occur
A possibility that congestion, is larger, if speed is lower than aggregation rate between defined minimum speed and vehicle and becomes larger, what is got congestion can
Energy property is larger.
Specifically, vehicle aggregation rate computing unit calculated result: aggregation rate becomes smaller between vehicle, while the entrance of road
The vehicle fleet size monitoring result of side and outlet side: entrance vehicle is less than outlet vehicle or vehicle speed detection unit detection knot
Fruit: speed is greater than defined minimum speed, that is, is determined as operational excellence, when aggregation rate becomes smaller between vehicle, occurs between vehicle
A possibility that congestion, is little, i.e., can be determined that the operating condition of road is good by these conditions.
Specifically, vehicle speed detection unit testing result: speed is lower than the one third of defined minimum speed, simultaneously
Vehicle aggregation rate computing unit calculated result: aggregation rate becomes larger between vehicle, wherein two generations, that is, be judged to predicting accident
State is then likely to unexpected situation occurred, and aggregation rate becomes larger between vehicle after the speed of more vehicles generally reduces,
It is likely occurred biggish congestion, therefore judgement is prediction accident condition.
The working principle of the invention and process for using: after the present invention installs, by being mounted on fastlink to be detected
Inlet entrance side monitoring, the vehicle entered in fastlink can be counted, by being mounted on height to be detected
The outlet side in the exit in fast section monitors, and can count to the vehicle for being driven out to fastlink, be subtracted by inlet
The amount of being driven out to counts the sum for entering the vehicle of fastlink with this, when saturation is excessively high, a possibility that getting congestion compared with
Greatly, adjacent middle section monitoring is uniformly distributed, and can be installed according to actual link length, and adjacent middle section monitors clipping room
It is divided into 20KM, by middle section monitoring convenient for being detected to operating condition of the vehicle on road, is monitored for some middle section
The speed of upper a large amount of vehicle changes, and the foundation that road is abnormal, outlet side monitoring, middle section prison can be determined as with this
Control and outlet side monitoring are connect by data cable with behavioural analysis module by signal, can due to being connected by data cable
To guarantee the timeliness of data transmission, is conducive to vehicle user and gets real-time, accurate, reliable information, by treating
The vehicle fleet size of the entrance side and outlet side that detect road calculates the vehicle fleet size data obtained in road, is being detected by vehicle
Average speed and acceleration in range may determine that the operation conditions of vehicle, the data of comprehensive continuous several monitoring points are
It can determine whether out vehicle operation whether in the state of steady, if there are apparent reductions of speed, if occurring, may get congestion
Situation can judge the congested conditions between vehicle according to the distance between two vehicles change rate.
As used some vocabulary to censure specific components in the specification and claims.Those skilled in the art answer
It is understood that hardware manufacturer may call the same component with different nouns.This specification and claims are not with name
The difference of title is as the mode for distinguishing component, but with the difference of component functionally as the criterion of differentiation.Such as logical
The "comprising" of piece specification and claim mentioned in is an open language, therefore should be construed to " include but do not limit
In "." substantially " refer within the acceptable error range, those skilled in the art can within a certain error range solve described in
Technical problem basically reaches the technical effect.In addition, " coupling " word includes any direct and indirect electric property coupling herein
Means.Therefore, if it is described herein that first device is coupled to second device, then representing the first device can be directly electrically coupled to
The second device, or the second device indirectly electrically coupled through other devices or coupling means.Specification is subsequent
It is described as implementing the better embodiment of the application, so the description is for the purpose of the rule for illustrating the application, not
To limit scope of the present application.The protection scope of the application is as defined by the appended claims.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
Include, so that commodity or system including a series of elements not only include those elements, but also including not clear
The other element listed, or further include for this commodity or the intrinsic element of system.In the feelings not limited more
Under condition, the element that is limited by sentence "including a ...", it is not excluded that in the commodity or system for including the element also
There are other identical elements.
Several preferred embodiments of the invention have shown and described in above description, but as previously described, it should be understood that the present invention
Be not limited to forms disclosed herein, should not be regarded as an exclusion of other examples, and can be used for various other combinations,
Modification and environment, and the above teachings or related fields of technology or knowledge can be passed through within that scope of the inventive concept describe herein
It is modified.And changes and modifications made by those skilled in the art do not depart from the spirit and scope of the present invention, then it all should be in this hair
In the protection scope of bright appended claims.
Claims (10)
1. a kind of video analysis method based on Freeway Conditions situation, it is characterised in that: including being carried out to vehicle on road
The video monitoring module of picture typing carries out the behavioural analysis module of data calculating to road vehicle and is broadcasted road conditions
Road conditions output module;Video data is input in the behavioural analysis module by the video monitoring module, the behavioural analysis
Module calculates result and is broadcasted by the road conditions output module, and the road conditions output module is by wireless system and uses
The connection of family signals of vehicles.
2. a kind of video analysis method based on Freeway Conditions situation according to claim 1, it is characterised in that: institute
Stating video monitoring module includes outlet side monitoring, middle section monitoring and outlet side monitoring, and the entrance side monitoring is mounted on to be checked
The inlet of fastlink is surveyed, the outlet side monitoring is mounted on the outlet side of fastlink to be detected.
3. a kind of video analysis method based on Freeway Conditions situation according to claim 2, it is characterised in that: institute
The middle section that middle section monitoring is mounted on fastlink to be detected is stated, and quantity is 1/9th of the road section length, adjacent is described
Middle section monitoring is uniformly distributed.
4. a kind of video analysis method based on Freeway Conditions situation according to claim 2, it is characterised in that: institute
The middle section that middle section monitoring is mounted on fastlink to be detected is stated, the middle section monitoring quantity is at least one, and accident is high-incidence
Spacing between the middle section monitoring of two of section is greater than the spacing between two middle sections monitoring in the low hair section of accident.
5. a kind of video analysis method based on Freeway Conditions situation according to claim 2 any one, special
Sign is: the outlet side monitoring, middle section monitoring and outlet side monitoring pass through data cable and the behavioural analysis module
Signal connection.
6. a kind of video analysis method based on Freeway Conditions situation according to claim 1, it is characterised in that: institute
Stating behavioural analysis module includes link entry and outlet vehicle computing unit, vehicle speed detection unit and vehicle aggregation rate meter
Unit is calculated, the link entry and outlet vehicle computing unit are used to calculate the entrance side of road to be detected and the vehicle of outlet side
Quantity, the vehicle speed detection unit is for monitoring average speed and acceleration of the vehicle in detection range, the vehicle
Aggregation rate computing unit is for monitoring the distance between two vehicles change rate.
7. a kind of video analysis method based on Freeway Conditions situation according to claim 6, it is characterised in that: institute
It states road condition output module and road condition is exported by vehicle-mounted broadcasting radio station, road condition includes predicted congestion status, operation
Kilter and prediction accident condition.
8. a kind of video analysis method based on Freeway Conditions situation according to claim 7, it is characterised in that: institute
State the entrance side of road and the vehicle fleet size monitoring result of outlet side: entrance vehicle is greater than outlet vehicle or vehicle speed inspection
Survey unit testing result: speed is lower than defined minimum speed or the vehicle aggregation rate computing unit calculated result: vehicle
Aggregation rate becomes larger between, wherein two generations, that is, be determined as predicted congestion status.
9. a kind of video analysis method based on Freeway Conditions situation according to claim 7, it is characterised in that: institute
State vehicle aggregation rate computing unit calculated result: aggregation rate becomes smaller between vehicle, while the entrance side of the road and outlet
The vehicle fleet size monitoring result of side: entrance vehicle is less than outlet vehicle or vehicle speed detection unit testing result: speed is big
In defined minimum speed, that is, it is determined as operational excellence.
10. a kind of video analysis method based on Freeway Conditions situation according to claim 7, it is characterised in that:
Vehicle speed detection unit testing result: speed is lower than the one third of defined minimum speed, while vehicle aggregation speed
Rate computing unit calculated result: aggregation rate becomes larger between vehicle, wherein two generations, that is, be judged to predicting accident condition.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110533915A (en) * | 2019-09-23 | 2019-12-03 | 浙江科技学院 | A kind of Intellectualized monitoring method preventing turnpike driving congestion and system |
CN110807934A (en) * | 2019-11-13 | 2020-02-18 | 赵洪涛 | Intelligent scheduling platform for monitoring highway operation |
CN112837541A (en) * | 2020-12-31 | 2021-05-25 | 遵义师范学院 | Intelligent traffic vehicle flow management method based on improved SSD |
CN113706890A (en) * | 2021-09-15 | 2021-11-26 | 无锡联友塑业有限公司 | Action correcting platform controlled by microcomputer |
CN114067573A (en) * | 2022-01-11 | 2022-02-18 | 成都宜泊信息科技有限公司 | Parking lot guarding method and system, storage medium and electronic equipment |
CN114550471A (en) * | 2022-04-22 | 2022-05-27 | 四川九通智路科技有限公司 | Signal lamp control method and control system for intelligent traffic |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102521966A (en) * | 2011-12-10 | 2012-06-27 | 哈尔滨飞羽科技有限公司 | Multifunctional wireless highway monitoring management system |
CN103164963A (en) * | 2011-12-11 | 2013-06-19 | 西安正昌电子有限责任公司 | Video analysis system of road traffic flow |
CN104842714A (en) * | 2015-05-05 | 2015-08-19 | 吉林大学 | Automotive short-distance auxiliary emergency braking system and braking method thereof |
CN105139650A (en) * | 2015-09-10 | 2015-12-09 | 华南理工大学 | Vehicle aggressive driving discrimination method based on traffic state |
CN105608431A (en) * | 2015-12-22 | 2016-05-25 | 杭州中威电子股份有限公司 | Vehicle number and traffic flow speed based highway congestion detection method |
CN106571037A (en) * | 2016-11-15 | 2017-04-19 | 同济大学 | Station detection technology-based expressway real-time road condition monitoring method |
CN107564313A (en) * | 2017-08-16 | 2018-01-09 | 齐鲁交通信息有限公司 | Highway traffic congestion notice system and forecasting methods |
-
2019
- 2019-03-01 CN CN201910154831.7A patent/CN109754621A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102521966A (en) * | 2011-12-10 | 2012-06-27 | 哈尔滨飞羽科技有限公司 | Multifunctional wireless highway monitoring management system |
CN103164963A (en) * | 2011-12-11 | 2013-06-19 | 西安正昌电子有限责任公司 | Video analysis system of road traffic flow |
CN104842714A (en) * | 2015-05-05 | 2015-08-19 | 吉林大学 | Automotive short-distance auxiliary emergency braking system and braking method thereof |
CN105139650A (en) * | 2015-09-10 | 2015-12-09 | 华南理工大学 | Vehicle aggressive driving discrimination method based on traffic state |
CN105608431A (en) * | 2015-12-22 | 2016-05-25 | 杭州中威电子股份有限公司 | Vehicle number and traffic flow speed based highway congestion detection method |
CN106571037A (en) * | 2016-11-15 | 2017-04-19 | 同济大学 | Station detection technology-based expressway real-time road condition monitoring method |
CN107564313A (en) * | 2017-08-16 | 2018-01-09 | 齐鲁交通信息有限公司 | Highway traffic congestion notice system and forecasting methods |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110533915A (en) * | 2019-09-23 | 2019-12-03 | 浙江科技学院 | A kind of Intellectualized monitoring method preventing turnpike driving congestion and system |
CN110807934A (en) * | 2019-11-13 | 2020-02-18 | 赵洪涛 | Intelligent scheduling platform for monitoring highway operation |
CN112837541A (en) * | 2020-12-31 | 2021-05-25 | 遵义师范学院 | Intelligent traffic vehicle flow management method based on improved SSD |
CN112837541B (en) * | 2020-12-31 | 2022-04-29 | 遵义师范学院 | Intelligent traffic vehicle flow management method based on improved SSD |
CN113706890A (en) * | 2021-09-15 | 2021-11-26 | 无锡联友塑业有限公司 | Action correcting platform controlled by microcomputer |
CN114067573A (en) * | 2022-01-11 | 2022-02-18 | 成都宜泊信息科技有限公司 | Parking lot guarding method and system, storage medium and electronic equipment |
CN114067573B (en) * | 2022-01-11 | 2022-04-12 | 成都宜泊信息科技有限公司 | Parking lot guarding method and system, storage medium and electronic equipment |
CN114550471A (en) * | 2022-04-22 | 2022-05-27 | 四川九通智路科技有限公司 | Signal lamp control method and control system for intelligent traffic |
CN114550471B (en) * | 2022-04-22 | 2022-08-23 | 四川九通智路科技有限公司 | Signal lamp control method and system for intelligent traffic |
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Application publication date: 20190514 |