CN113077654A - Traffic indication system based on visual identification - Google Patents
Traffic indication system based on visual identification Download PDFInfo
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- CN113077654A CN113077654A CN202011605327.3A CN202011605327A CN113077654A CN 113077654 A CN113077654 A CN 113077654A CN 202011605327 A CN202011605327 A CN 202011605327A CN 113077654 A CN113077654 A CN 113077654A
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- 230000000007 visual effect Effects 0.000 title claims abstract description 15
- 238000013459 approach Methods 0.000 claims description 6
- 206010039203 Road traffic accident Diseases 0.000 abstract description 4
- 229910052799 carbon Inorganic materials 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
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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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- Engineering & Computer Science (AREA)
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- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a traffic indicating system based on visual identification, and belongs to the field of traffic technology application. The traffic indication system prompts drivers or pedestrians for road condition information according to actual conditions by setting the picture receiving module, the road condition analysis module and the prompting module. The invention discloses a traffic indication system, which aims to solve the problem that a common wide-angle lens is easy to cause a sight blind area of a driver or a pedestrian to cause an accident at an intersection without a traffic light, and particularly, the traffic indication system is arranged to be more easy to cause an accident traffic accident under the condition of poor light.
Description
Technical Field
The invention relates to the field of traffic technology application, in particular to a traffic indication system based on visual identification.
Background
Along with the improvement of living standards of people, the utilization rate of motor vehicles is higher and higher, the accident rate is also increased, the reasons of traffic accidents include overspeed driving, overload, drunk driving, fatigue driving, violation of traffic laws and regulations, at intersections with large traffic flow, traffic conditions are usually controlled by arranging traffic lights, but at intersections with low traffic flow, particularly at corners of roads and bends in cells, sight line assistance is provided for people through wide-angle mirrors, but the wide-angle mirrors cannot provide different sight line assistance for the corners with different angles, road condition information cannot be comprehensively captured at night or under dim conditions, and if drivers have pedestrians in sight line blind areas, the drivers cannot identify the road condition information at the first time easily, and the traffic accidents are more easily caused.
Disclosure of Invention
In order to solve the existing problems, the invention provides a traffic indication system based on visual recognition, which carries out intersection prejudgment on corners after acquiring road condition information and sends out an indication according to a prejudgment result, thereby realizing real-time reminding of road conditions.
In view of the above, the present invention provides a traffic indication system based on visual recognition, including:
the image receiving modules are used for acquiring road condition information in corresponding image ranges through the camera module and transmitting the road condition information to the road condition analysis module, the number of the image receiving modules depends on the number of road branches, each branch is provided with a corresponding image receiving module, and the image receiving ranges of the image receiving modules are not repeated;
the road condition analysis module is used for analyzing and calculating the picture transmitted from the picture receiving module and feeding back a calculation result to the prompt module;
and the prompting modules are arranged in one-to-one correspondence with the picture receiving modules and are used for releasing the judgment result of the road condition analysis module through the signal lamp.
Preferably, each of the image receiving modules is electrically connected to a corresponding storage module, the storage module is configured to store continuous traffic information images and store the continuous traffic information images in a frame storage manner, and the continuously stored frame images can help the traffic information analysis module to analyze traffic information and identify vehicles in the image.
Preferably, the road condition analysis module is configured to determine a prompt signal after acquiring a vehicle driving direction and a vehicle speed within a picture range corresponding to each picture receiving module, where the specific rule is:
with the pointing system as the center, the user can select the pointing system,
(1) if at least two image receiving modules identify that the vehicle approaches and does not decelerate, releasing red long-bright signal lamps by the prompting module corresponding to the corresponding image receiving module;
(2) if at least two image receiving modules recognize that the vehicle approaches and the speed-reducing signal is obtained through the storage module, releasing red flashing signal lamps by the prompting modules corresponding to the corresponding image receiving modules;
(3) if one picture receiving module identifies that the vehicle is close to and at least one picture receiving module identifies that the vehicle is far away from, releasing a yellow flashing signal lamp by a prompt module corresponding to the corresponding picture receiving module;
(4) and if only one picture receiving module identifies that the vehicle is close to or far away from the vehicle, releasing the green flashing signal lamp by the prompting module corresponding to the corresponding picture receiving module.
Preferably, the traffic analysis module is configured to identify the images received by the image receiving module, the identification content includes, but is not limited to, motor vehicles, non-motor vehicles and pedestrians, the identification content is mainly used to determine the driving directions of the motor vehicles and the non-motor vehicles, the image captured in the picture receiving module is obtained to identify whether a face exists or not, if two continuous frames of images identify the face and the face of the later-obtained picture is relatively enlarged relative to the face of the previously-obtained picture, the vehicle is judged to be close to the indicating system to drive, if two continuous frames of images identify the face and the face of the later-obtained picture is reduced relative to the face of the previously-obtained picture, the vehicle is judged to be far from the indicating system to drive, when the driving direction of the motor vehicle or the non-motor vehicle is close to the motor vehicle or the non-motor vehicle, calculating the corresponding speed per hour, and releasing the signal of the indicator light of the corresponding prompt module;
preferably, the angle range corresponding to the picture range of each picture receiving module is greater than 30 degrees and less than 60 degrees, when the picture range received by the picture receiving module is too small, resource waste is caused, and calculation complexity is increased, and when the picture range received by the picture receiving module is too large, picture range information is too much to be accurately identified;
preferably, each picture receiving device is correspondingly provided with one lighting device, the lighting devices are provided with a unified power storage source, and the visibility can be increased under the condition of darkness or poor sight by the arrangement of the lighting devices and the unified power storage source, so that the system can be helped to be instructed to identify the content in the image.
Preferably, the power storage power supply is electrically connected with a solar panel, and power storage is performed through the solar panel under the condition of fine weather, so that the solar energy power storage system is low-carbon and environment-friendly.
Compared with the prior art, the invention has the following beneficial effects: by setting the indicating system, after the road condition information is captured, a corresponding prompt is sent to a driver or a pedestrian according to the road condition information, so that the condition that the accident happens at the corner due to dim light and poor sight or the dispersion of the attention of the drivers of motor vehicles and non-motor vehicles is avoided, the invention can effectively prompt different conditions of the drivers or the pedestrian, properly decelerate and avoid the occurrence of traffic accidents; if the accident happens carelessly, the storage module can provide the reason of the accident to carry out corresponding accountability.
Drawings
FIG. 1 is a schematic block diagram of a traffic guidance system based on visual recognition according to the present invention
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
As shown in fig. 1, the traffic indication system based on visual recognition provided by the present invention specifically includes:
the system comprises 4 picture receiving modules, each picture receiving module corresponds to a picture receiving angle of 45 degrees and is used for acquiring road condition information in a corresponding picture range through a camera module and transmitting the road condition information to a road condition analysis module, each picture receiving module is electrically connected with a storage module which is used for storing continuous road condition information images and storing the road condition information images in a frame storage mode, the continuously stored frame images can help the road condition analysis module to analyze the road condition information and identify vehicles in the picture, each picture receiving device is also correspondingly provided with a lighting device which is provided with a unified power storage source, the power storage source is electrically connected with a solar panel, power storage is carried out through the solar panel under the condition of fine weather, low carbon and environmental protection are achieved, and the visibility can be increased under the condition of darkness or poor sight through the arrangement of the lighting device and the unified power storage source, help instructing the system to identify content in the image;
the road condition analysis module is used for analyzing and calculating the picture transmitted from the picture receiving module according to the following rules and feeding back the calculation result to the prompt module, wherein the specific rules are as follows:
with the pointing system as the center, the user can select the pointing system,
(1) if at least two image receiving modules identify that the vehicle approaches and does not decelerate, releasing red long-bright signal lamps by the prompting module corresponding to the corresponding image receiving module;
(2) if at least two image receiving modules recognize that the vehicle approaches and the speed-reducing signal is obtained through the storage module, releasing red flashing signal lamps by the prompting modules corresponding to the corresponding image receiving modules;
(3) if one picture receiving module identifies that the vehicle is close to and at least one picture receiving module identifies that the vehicle is far away from, releasing a yellow flashing signal lamp by a prompt module corresponding to the corresponding picture receiving module;
(4) if only one picture receiving module identifies that the vehicle is close to or far away from the vehicle, releasing a green flashing signal lamp by a prompting module corresponding to the corresponding picture receiving module;
the 4 prompting modules are arranged in one-to-one correspondence with the picture receiving modules and used for releasing the judgment result of the road condition analysis module through the signal lamp;
the road condition analysis module is used for identifying the pictures received by the picture receiving module, the identification contents include but are not limited to motor vehicles, non-motor vehicles and pedestrians, the identification contents are mainly used for judging the driving directions of the motor vehicles and the non-motor vehicles, the image captured in the picture receiving module is obtained to identify whether a face exists or not, if two continuous frames of images identify the face and the face of the later-obtained picture is relatively enlarged relative to the face of the previously-obtained picture, the vehicle is judged to be close to the indicating system to drive, if two continuous frames of images identify the face and the face of the later-obtained picture is reduced relative to the face of the previously-obtained picture, the vehicle is judged to be far from the indicating system to drive, and when the driving direction of the motor vehicle or the non-motor vehicle is close, calculating the corresponding speed per hour and releasing the signal of the indicator light of the corresponding prompt module.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and/or modifications of the invention can be made, and equivalents and modifications of some features of the invention can be made without departing from the spirit and scope of the invention.
Claims (7)
1. A traffic indicating system based on visual recognition, comprising:
the picture receiving modules are used for acquiring road condition information in the corresponding picture range through the camera module and transmitting the road condition information to the road condition analysis module;
the road condition analysis module is used for analyzing and calculating the picture transmitted from the picture receiving module and feeding back a calculation result to the prompt module;
and the prompting modules are arranged in one-to-one correspondence with the picture receiving modules and are used for releasing the judgment result of the road condition analysis module through the signal lamp.
2. A traffic indicating system based on visual recognition according to claim 1, characterized in that: each picture receiving module is electrically connected with a corresponding storage module, and the storage module is used for storing continuous road condition information images and storing the road condition information images according to a frame storage mode.
3. A traffic indicating system based on visual recognition according to claim 2, characterized in that: the road condition analysis module is used for judging prompt signals after acquiring the vehicle driving direction and speed in the picture range corresponding to each picture receiving module, and the specific rule is as follows:
with the pointing system as the center, the user can select the pointing system,
(1) if at least two image receiving modules identify that the vehicle approaches and does not decelerate, releasing red long-bright signal lamps by the prompting module corresponding to the corresponding image receiving module;
(2) if at least two image receiving modules recognize that the vehicle approaches and the speed-reducing signal is obtained through the storage module, releasing red flashing signal lamps by the prompting modules corresponding to the corresponding image receiving modules;
(3) if one picture receiving module identifies that the vehicle is close to and at least one picture receiving module identifies that the vehicle is far away from, releasing a yellow flashing signal lamp by a prompt module corresponding to the corresponding picture receiving module;
(4) and if only one picture receiving module identifies that the vehicle is close to or far away from the vehicle, releasing the green flashing signal lamp by the prompting module corresponding to the corresponding picture receiving module.
4. A traffic indicating system based on visual recognition according to claim 1, characterized in that: the road condition analysis module is used for identifying the pictures received by the picture receiving module, and the identification contents include but are not limited to motor vehicles, non-motor vehicles and pedestrians.
5. A traffic indicating system based on visual recognition according to claim 1, characterized in that: the angle range corresponding to the picture range of each picture receiving module is larger than 30 degrees and smaller than 60 degrees.
6. A traffic indicating system based on visual recognition according to claim 1, characterized in that: and each picture receiving device is correspondingly provided with a lighting device, and the lighting devices are provided with a uniform power storage power supply.
7. A traffic indicating system based on visual recognition according to claim 6, characterized in that: the electric power storage power supply is electrically connected with a solar panel.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011605327.3A CN113077654A (en) | 2020-12-28 | 2020-12-28 | Traffic indication system based on visual identification |
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| CN202011605327.3A CN113077654A (en) | 2020-12-28 | 2020-12-28 | Traffic indication system based on visual identification |
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| CN113077654A true CN113077654A (en) | 2021-07-06 |
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| KR20180116884A (en) * | 2017-04-18 | 2018-10-26 | 최병주 | Safety apparatus for pedetrian on crosswork |
| CN109272742A (en) * | 2018-11-23 | 2019-01-25 | 上海市城市建设设计研究总院（集团）有限公司 | Pedestrian's street crossing early warning system and control method with pedestrian's early warning column |
| CN109448437A (en) * | 2018-11-12 | 2019-03-08 | 哈尔滨工业大学 | Pedestrains safety street crossing prompt system and method towards driver |
| CN110264783A (en) * | 2019-06-19 | 2019-09-20 | 中设设计集团股份有限公司 | Vehicle collision avoidance early warning system and method based on bus or train route collaboration |
| CN111210662A (en) * | 2020-03-04 | 2020-05-29 | 五邑大学 | Intersection safety early warning system and method based on machine vision and DSRC |
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2020
- 2020-12-28 CN CN202011605327.3A patent/CN113077654A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104376735A (en) * | 2014-11-21 | 2015-02-25 | 中国科学院合肥物质科学研究院 | Driving safety early-warning system and method for vehicle at blind zone crossing |
| KR20180116884A (en) * | 2017-04-18 | 2018-10-26 | 최병주 | Safety apparatus for pedetrian on crosswork |
| CN109448437A (en) * | 2018-11-12 | 2019-03-08 | 哈尔滨工业大学 | Pedestrains safety street crossing prompt system and method towards driver |
| CN109272742A (en) * | 2018-11-23 | 2019-01-25 | 上海市城市建设设计研究总院（集团）有限公司 | Pedestrian's street crossing early warning system and control method with pedestrian's early warning column |
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| CN111210662A (en) * | 2020-03-04 | 2020-05-29 | 五邑大学 | Intersection safety early warning system and method based on machine vision and DSRC |
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Address after: Building a, Cetus, Wuxi Software Park, No.18 Zhenze Road, Xinwu District, Wuxi City, Jiangsu Province, 214000 Applicant after: Wuxi Leqi Technology Co.,Ltd. Address before: Building a, Cetus, Wuxi Software Park, No.18 Zhenze Road, Xinwu District, Wuxi City, Jiangsu Province, 214000 Applicant before: Wuxi Le Chi Technology Co.,Ltd. |
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Application publication date: 20210706 |
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