CN114241781B - Automatic alarm function system based on traffic accident recognition - Google Patents
Automatic alarm function system based on traffic accident recognition Download PDFInfo
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- CN114241781B CN114241781B CN202111386617.8A CN202111386617A CN114241781B CN 114241781 B CN114241781 B CN 114241781B CN 202111386617 A CN202111386617 A CN 202111386617A CN 114241781 B CN114241781 B CN 114241781B
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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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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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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
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
- G08G1/054—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed photographing overspeeding vehicles
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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Abstract
The embodiment of the invention discloses an automatic alarm function system based on traffic accident identification, and relates to the technical field of image identification. The system, comprising: the system comprises a data acquisition module, a data processing module, a communication module and a cloud database; the data acquisition modules are arranged at two ends of a road and used for acquiring road images in real time and sending the acquired road images to the data processing module; the data processing module is used for sending the received road image to the cloud database for storage in real time, identifying whether a traffic accident exists according to the received road image, and sending an alarm triggering signal to the communication module when the traffic accident is identified; and the communication module is used for alarming to the police after receiving the alarm trigger signal. The invention can identify the traffic accident of the road image collected in real time and immediately automatically alarm when the traffic accident is identified.
Description
Technical Field
The invention belongs to the technical field of image recognition, and particularly relates to an automatic alarm function system based on traffic accident recognition.
Background
Along with the development and progress of social economy, the urban road traffic condition is improved day by day, and the traffic roads are more and more, automobiles have already gone into millions of households, the number and the scale of the automobiles are also increased gradually, the popularization of the automobiles is indeed convenient for the life of people, and the automobiles do not need to suffer from cold in winter and heat in summer.
However, while enjoying the convenience of automobiles, the number of road traffic accidents, i.e., car accidents, is greatly increased, and a great deal of pressure is increased for traffic management. When a traffic accident occurs, a driver with a trouble often chooses to escape the responsibility, and the damaged vehicle suffers great loss, so that the light person causes economic loss, and the heavy person causes casualty accidents.
At present, in order to prevent a hit-and-run vehicle from escaping, a camera is mainly installed on a road or a vehicle, when the hit-and-run vehicle escapes, information of the hit-and-run vehicle is obtained according to image information collected by the camera, and then vehicle tracking work is carried out to find the hit-and-run vehicle and a hit-and-run driver. However, in the traffic accident identification method, the traffic accident is not generated or is found manually, so that some minor accidents (such as slight rubbing and bumping) are not found at all, and meanwhile, the alarm/recourse is carried out or is manually carried out, so that the problem of slow response time exists, even if the traffic accident is serious or the smoke of people is rare, no alarm/recourse people are provided at all, so that the accident vehicle is easy to cause greater economic loss and life injury, and the probability of successful escape of the troubled vehicle is increased.
Disclosure of Invention
In view of this, the embodiment of the present invention provides an automatic alarm function system based on car accident identification, which is used to solve the problems of missing car accidents and slow alarm/recourse response time in the current car accident identification scheme. The invention can identify traffic accidents of road images acquired in real time and immediately and automatically alarm when identifying traffic accidents, thereby shortening rescue time, improving police and rescue efficiency and improving the probability of catching criminals.
The embodiment of the invention provides an automatic alarm function system based on traffic accident identification, which comprises: the system comprises a data acquisition module, a data processing module, a communication module and a cloud database;
the data acquisition modules are arranged at two ends of a road and used for acquiring road images in real time and sending the acquired road images to the data processing module;
the data processing module is used for sending the received road image to the cloud database for storage in real time, identifying whether a traffic accident exists according to the received road image, and sending an alarm triggering signal to the communication module when the traffic accident is identified;
and the communication module is used for alarming to police after receiving the alarm trigger signal.
In an optional embodiment, the data processing module is further configured to intercept the car accident picture image when a traffic accident is identified, identify license plate information of an accident vehicle in the car accident picture image, and send the car accident picture image and the identified license plate information of the accident vehicle to the police through the communication module.
In an alternative embodiment, the data processing module is further configured to, upon identifying the existence of a traffic accident, calling all road images from a first time when the accident vehicle firstly enters a road image picture collected by the data collection module to a second time corresponding to the car accident picture image from the cloud database to obtain a first image set, positioning the license plate of the accident vehicle in all the images in the first image set, determining the coordinates of the license plate of the accident vehicle in each frame of image in the first image set in a preset coordinate system, calculating the average speed and the approximate acceleration of the accident vehicle according to the coordinates of the license plate of the accident vehicle in a preset coordinate system in all the images in the first image set, and sending the average speed and the approximate acceleration of the accident vehicle to the police through a communication module;
the preset coordinate system takes the vertex of the lower left corner of the road image as an origin, the lower bottom edge of the road image to the right as an X axis, the left side edge of the road image to the upward direction as a Y axis, and the unit length of the preset coordinate system is the distance length between two adjacent pixels of the road image.
In an alternative embodiment, the data processing module calculates the second equation specifically according to the following first equation
Average speed of individual accident vehicle:
wherein the content of the first and second substances,
is shown as
The average speed of the individual accident vehicle,
representing the ratio of the distance between two adjacent pixel points in the road image collected by the data collection module to the distance between two points corresponding to the actual road,
representing the interval time between the data acquisition module and the acquisition of two adjacent road images,
is shown as
The total number of frames of images in the first set of images corresponding to the individual accident vehicle,
is shown as
The first image set corresponding to the accident vehicle
In the frame image
Coordinates of the license plate of the accident vehicle in a preset coordinate system,
is shown as
The first image set corresponding to the accident vehicle
In the frame image
Coordinates of the license plate of the accident vehicle in a preset coordinate system;
=1,2,3,..,
。
in an alternative embodiment, the data processing module calculates the second equation specifically according to the following second formula
Approximate acceleration of individual accident vehicle:
wherein the content of the first and second substances,
is shown as
The approximate acceleration of the individual accident vehicle,
denotes the first
Coordinates of the license plate of the accident vehicle in the accident picture image in a preset coordinate system;
denotes the first
Personal affairsTherefore, the vehicle enters the coordinates of the license plate in the road image in the preset coordinate system at the moment of the road image picture for the first time.
In an optional embodiment, the communication module is specifically configured to, after receiving the alarm trigger signal, continuously increase the automatic alarm frequency with time until receiving a communication response to the alarm from the police, and then stop the automatic alarm.
In an optional embodiment, the communication module is specifically configured to calculate the automatic alarm frequency according to a third formula:
in the third formula, the first formula is,
indicating that said communication module has received said alarm trigger signaltWith corresponding durationtThe automatic alarm frequency at the moment;
represents the abovetReceiving the communication response mark value of the police to the alarm at all times, if the communication response mark value is the valuetThe communication response of the police to the alarm is received all the time, then
Otherwise, the
；
Representing a preset initial alarm frequency of the communication module.
In an optional embodiment, the data processing module is further configured to, after the license plate of the accident vehicle in all the images in the first image set is identified and positioned, monitor in real time whether the license plate of the accident vehicle in the received road image moves according to the road image acquired by the data acquisition module in real time, and if so, send all the road images to the police between a third time point when the license plate of the moving accident vehicle moves and a fourth time point when the moving accident vehicle drives away from the road image acquired by the data acquisition module.
In an optional embodiment, the data processing module is further configured to calculate, according to a fourth formula, a direction in which the moving accident vehicle travels away from the road image screen, and send the direction in which the moving accident vehicle travels away from the road image screen to the police through the communication module;
wherein the fourth formula is:
in the fourth formula, the first and second equations,
is shown as
The included angle formed by the driving-off direction of the moving accident vehicle and the X-axis direction in the preset coordinate system,
is shown as
The moving accident vehicle is at the fourth time before
The license plate coordinates in the road image are framed;
is shown as
Individual moving accident carThe vehicle is at the fourth moment before
The coordinates of the license plate in the frame road image,
。
in an optional embodiment, the data processing module is specifically configured to invoke an OCR interface in the aricloud artificial intelligence platform for automatically recognizing a traffic accident, recognize whether the traffic accident exists in the road image, and invoke an OCR interface in the aricloud artificial intelligence platform for recognizing a license plate, recognize license plate information of the accident vehicle in the accident picture image, and/or locate the license plate of the accident vehicle in the road image.
The invention provides a novel automatic alarm function system based on traffic accident identification, which comprises the steps of firstly collecting road images in real time, then identifying whether a traffic accident exists according to the received road images, and triggering a communication module to alarm to police when the traffic accident exists. The invention can identify traffic accidents of road images acquired in real time and immediately and automatically alarm when traffic accidents are identified, thereby shortening rescue time, improving police and rescue efficiency and improving the probability of catching criminals.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an automatic alarm function system based on traffic accident recognition according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic structural view of an automatic alarm function system based on traffic accident recognition according to an embodiment of the present invention, and referring to fig. 1, the system includes: the system comprises a data acquisition module 1, a data processing module 2, a communication module 3 and a cloud database 4;
the data acquisition module 1 is arranged at two ends of a road and used for acquiring road images in real time and sending the acquired road images to the data processing module 2.
In this embodiment, the data acquisition module 1 may include cameras disposed at two ends of the road, for example, the front end and the rear end in the vehicle traveling direction, so that the cameras can acquire more vehicle information (for example, license plate information) and the movement track of the vehicle, and the data processing module 2 is convenient to perform image recognition and determine a traffic accident.
The data processing module 2 is used for sending the received road image to the cloud-end database 4 for storage in real time, identifying whether a traffic accident exists according to the received road image, and sending an alarm triggering signal to the communication module 3 when the traffic accident is identified.
In this embodiment, the data processing module 2 stores the received road image, so that it is convenient to call the relevant image for analysis when an accident is determined. Meanwhile, the data processing module 2 identifies the traffic accident according to the real-time road image sent by the data acquisition module 1, and immediately sends an alarm trigger signal to the communication module 3 to trigger the alarm when the traffic accident is identified, so that the efficiency of discovering and alarming the traffic accident is effectively improved. The data processing module 2 can also send a traffic accident recognition request to a third-party interface, for example, an OCR interface for automatically recognizing a traffic accident in the aricloud artificial intelligence platform is called to recognize whether a traffic accident exists in a road image, and by adopting the method, the system construction cost can be effectively reduced, and meanwhile, the accuracy of traffic accident recognition cannot be reduced.
Preferably, the data processing module 2 is further configured to intercept the car accident picture image, identify the license plate information of the accident vehicle in the car accident picture image, and send the car accident picture image and the identified license plate information of the accident vehicle to the police through the communication module when the traffic accident is identified. For example: the monitoring terminal of the police can also be provided with a storage module in advance, and the storage module is used for storing the car accident picture image sent by the data processing module 2 so as to facilitate the follow-up.
In this embodiment, when a traffic accident is identified, the data processing module 2 further analyzes the current road image with the traffic accident in the frame, obtains the license plate information of the accident vehicle, and sends the license plate information to the police, so that the police can further know the accident scene, for example: through the license plate number, the police can obtain the contact way of the vehicle owner through the recorded license plate number and the vehicle owner information, and then contact the vehicle owner to know the specific situation of the accident scene. The data processing module 2 can send a license plate recognition request to a third-party interface, for example, a license plate recognition OCR interface in the Array artificial intelligence platform is called to recognize license plate information of an accident vehicle in a traffic accident picture.
And the communication module 3 is used for alarming to the police after receiving the alarm trigger signal.
In this embodiment, when the data processing module 2 recognizes that a traffic accident occurs on a road through an image recognition technology, it will immediately give an alarm to the police, so that the police can timely perform the next work, including: the driver can be rescued and caught to escape, thereby effectively reducing the economic and life loss caused by traffic accidents.
As an alternative embodiment, the data processing module 2 is also adapted to, upon recognition of the presence of a traffic accident, all road images from a first time when the accident vehicle firstly enters the road image picture collected by the data collection module 1 to a second time corresponding to the car accident picture image are called from the cloud database 4 to obtain a first image set, positioning the license plate of the accident vehicle in all the images in the first image set, determining the coordinates of the license plate of the accident vehicle in each frame of image in the first image set in a preset coordinate system, and calculating the average speed and the approximate acceleration of the accident vehicle according to the coordinates of the license plate of the accident vehicle in a preset coordinate system in all the images in the first image set, and sending the average speed and the approximate acceleration of the accident vehicle to the police through a communication module 3. The preset coordinate system takes the vertex of the lower left corner of the road image as an origin, the lower bottom edge of the road image to the right as an X axis, the left side edge of the road image to the upward direction as a Y axis, and the unit length of the preset coordinate system is the distance length between two adjacent pixels of the road image.
The above-mentioned first image set determination process includes, for example: when the data processing module 2 identifies that a traffic accident exists in the current frame of road image, the images before the current frame of road image are sequentially retrieved from the cloud database 4 according to the reverse order of the road image acquisition time, for example, if the current frame of road image is the current frame of road imaget i At a time instant oft i When the traffic accident is identified in the road image collected at any moment, the traffic accident is firstly called from the cloud database 4t i-1 The road images collected at any moment are used for identifying whether the accident vehicle exists or not (specifically, whether the accident vehicle exists or not can be judged through license plate identification and/or vehicle type, color, driver and the like), and if yes, the accident vehicle is continuously called from the cloud database 4t i-2 The road image collected at any moment is used for identifying whether the accident vehicle exists or not, if so, the accident vehicle existst i-2 The road image collected at any moment and the accident vehicle is identified to be absent in the road image, and then the accident vehicle is detected to bet i-1 The moment is determined as the first moment when the accident vehicle firstly enters the road image picture acquired by the data acquisition module 1 to obtain a first image sett i-1 The image of the road at the time of day,t i time of dayRoad image of }.
In this embodiment, the data processing module 2 positions the position of the vehicle license plate in the road image, and may call an OCR interface for recognizing the vehicle license plate in the aricloud artificial intelligence platform to position the vehicle license plate. By adopting the mode, the system construction cost can be effectively reduced, and the accuracy of positioning the vehicle license plate position in a traffic accident can not be reduced. Meanwhile, according to the first image set, the average speed and the approximate acceleration of the accident vehicle are calculated according to the license plate coordinates of the accident vehicle, and then the average speed and the approximate acceleration of the accident vehicle are uploaded to the police, so that the police are effectively assisted to confirm accident responsibility, and the case handling efficiency of the police is improved.
Preferably, the data processing module 2 calculates the second equation specifically according to the following first formula
Average speed of individual accident vehicle:
wherein the content of the first and second substances,
is shown as
The average speed of the individual accident vehicle,
represents the ratio of the distance between two adjacent pixel points in the road image collected by the data collection module 1 to the distance between two points corresponding to the actual road,
represents the interval time between the data acquisition module 1 acquiring two adjacent road images,
denotes the first
The total number of frames of images in the first set of images corresponding to the individual accident vehicle,
is shown as
The first image set corresponding to the accident vehicle
In the frame image
Coordinates of the license plate of the accident vehicle in a preset coordinate system,
is shown as
The first image set corresponding to the accident vehicle
In the frame image
Coordinates of the license plate of the accident vehicle in a preset coordinate system;
=1,2,3,..,
。
preferably, the data processing module 2 calculates the second equation specifically according to the following second formula
Approximate acceleration of individual accident vehicle:
wherein the content of the first and second substances,
is shown as
The approximate acceleration of the individual accident vehicle,
is shown as
Coordinates of the license plate of the accident vehicle in the accident picture image in a preset coordinate system;
is shown as
Coordinates of the license plate in the road image in a preset coordinate system at the moment when the accident vehicle firstly enters the road image picture.
As an optional embodiment, the communication module 3 is specifically configured to, after receiving the alarm trigger signal, continuously increase the automatic alarm frequency with time until receiving a communication response to the alarm from the police, and then stop automatic alarm.
In this embodiment, the automatic alarm frequency is obtained according to the time length from the time when the communication module 3 receives the alarm trigger signal to the current time (i.e. the time interval from the time when the traffic accident occurs to the current time is determined), and the automatic alarm frequency increases along with the lapse of time, so as to ensure that the police can make an alarm after responding quickly, improve the alarm and rescue efficiency, and improve the probability of catching a criminal (hit-and-run person).
Preferably, the communication module 3 is specifically configured to calculate the automatic alarm frequency according to the following third formula:
in the third formula, the first formula is,
indicating that said communication module 3 has received said alarm trigger signaltWith corresponding durationtThe automatic alarm frequency at the moment;
represents the abovetReceiving the communication response mark value of the police to the alarm at all times, if the communication response mark value is the valuetThe communication response of the police to the alarm is received all the time, then
Otherwise, then
；
Representing a preset initial alarm frequency of the communication module.
In the present embodiment, the first and second electrodes are,
represents an initial alarm period of the communication module 3;
to representtThe time in the moment accounts for the proportion of the initial alarm period, and then the alarm frequency is amplified by utilizing the proportion, so that the condition that the alarm frequency of the communication module 3 is continuously increased along with the time is ensured.
As an optional embodiment, the data processing module 2 is further configured to, after the license plates of the accident vehicle in all the images in the first image set are identified and positioned, monitor in real time whether the license plate positioning of the accident vehicle in the received road images moves according to the road images collected by the data collection module in real time, and if so, upload all the road images from a third time point when the license plate positioning of the moving accident vehicle moves to a fourth time point when the moving accident vehicle drives away from the road image picture collected by the data collection module to the police.
In the embodiment, after the license plate of the accident vehicle in the traffic accident picture is positioned and identified, whether the license plate of the accident vehicle moves or not is monitored in real time, if the license plate of the accident vehicle moves, all images of the moving accident vehicle are uploaded to an police in the period from the time when the license plate of the accident vehicle moves to the time when the moving accident vehicle drives away from the camera picture, and the police can catch the accident escaper conveniently.
Preferably, the data processing module 2 is further configured to calculate a direction of the moving accident vehicle when the moving accident vehicle moves away from the road image screen according to a fourth formula, and send the direction of the moving accident vehicle when the moving accident vehicle moves away from the road image screen to the police through the communication module.
Wherein the fourth formula is:
in the fourth formula, the first and second equations,
is shown as
The included angle formed by the driving-off direction of the moving accident vehicle and the X-axis direction in the preset coordinate system,
is shown as
Fourth moment before the fourth moment
Framing license plate coordinates in the road image;
is shown as
The moving accident vehicle is at the fourth time before
The coordinates of the license plate in the frame road image,
。
in this embodiment, after a car accident occurs, when an accident vehicle (i.e., a mobile accident vehicle) wants to leave the scene, the last 10 frames of images of the scene where the accident vehicle leaves the scene may be collected, and then, according to the coordinates of the license plate of the mobile accident vehicle, the direction angle of the mobile accident vehicle when the mobile accident vehicle leaves the camera screen may be obtained by using the fourth formula, thereby facilitating the subsequent tracking and capturing by the police.
The automatic alarm function system based on traffic accident recognition provided by the embodiment of the invention firstly collects road images in real time, then recognizes whether a traffic accident exists according to the received road images, and gives an alarm to the police when recognizing that the traffic accident exists, thereby shortening the rescue time, improving the police and rescue efficiency, and improving the probability of catching criminals; besides, after the traffic accident is identified, the average speed and approximate acceleration information of the accident vehicle can be further calculated to assist the police to determine the responsibility for the accident, and meanwhile, the alarm frequency can be automatically adjusted, so that the police can give an alarm after responding quickly, the alarm and rescue efficiency is improved, and the probability of catching criminals (hit-and-run persons) is improved; even when the troublemaker is escaping from the scene, the escaping direction of the troublemaker can be calculated, so that the troublemaker can conveniently follow up and capture by police.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations. The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. An automatic alarm function system based on traffic accident recognition is characterized by comprising: the system comprises a data acquisition module, a data processing module, a communication module and a cloud database;
the data acquisition modules are arranged at two ends of a road and used for acquiring road images in real time and sending the acquired road images to the data processing module;
the data processing module is used for sending the received road image to the cloud database for storage in real time, identifying whether a traffic accident exists according to the received road image, and sending an alarm triggering signal to the communication module when the traffic accident is identified;
the communication module is used for alarming to the police after receiving the alarm trigger signal;
the data processing module is further used for intercepting the car accident picture image when a traffic accident exists, identifying the license plate information of the accident vehicle in the car accident picture image, and sending the car accident picture image and the identified license plate information of the accident vehicle to the police through the communication module;
the data processing module is further configured to, when a traffic accident is identified, retrieve all road images from the cloud database between a first time when the accident vehicle first enters the road image frame acquired by the data acquisition module and a second time corresponding to the traffic accident image frame to obtain a first image set, locate the license plate of the accident vehicle in all images in the first image set, and determine the sitting position of the license plate of the accident vehicle in a preset coordinate system in each image in the first image setThe target is used for calculating the average speed and the approximate acceleration of the accident vehicle according to the coordinates of the license plate of the accident vehicle in a preset coordinate system in all the images in the first image set, and sending the average speed and the approximate acceleration of the accident vehicle to the police through a communication module; when a traffic accident exists in the current frame of road image, the data processing module sequentially calls images before the current frame of road image from the cloud database according to the reverse order of the acquisition time of the road image, and if the current frame of road image is the current frame of road imaget i At a time instant oft i When the traffic accident is identified in the road image collected at any moment, the traffic accident is called from the cloud databaset i-1 Constantly collected road images are used for identifying whether the accident vehicles exist or not, if yes, the accident vehicles are continuously called from a cloud databaset i-2 The road image collected at any moment is used for identifying whether the accident vehicle exists or not, if so, the accident vehicle existst i-2 The road image collected at any moment and the accident vehicle is identified to be absent in the road image, and then the accident vehicle is detected to bet i-1 Determining the moment as the first moment when the accident vehicle firstly enters the road image picture acquired by the data acquisition module to obtain a first image sett i-1 The image of the road at the time of day,t i road image of the moment };
the preset coordinate system takes the vertex of the lower left corner of the road image as an origin, the lower bottom edge of the road image to the right as an X axis, the left side edge of the road image to the upward direction as a Y axis, and the unit length of the preset coordinate system is the distance length between two adjacent pixel points of the road image;
the data processing module is further configured to monitor whether the license plate of the accident vehicle in the received road image moves in real time according to the road image acquired by the data acquisition module in real time after the license plate of the accident vehicle in all the images in the first image set is identified and positioned, and if so, send all the road images to the police between a third time when the license plate of the moving accident vehicle moves and a fourth time when the moving accident vehicle drives away from the road image picture acquired by the data acquisition module;
the data processing module is further configured to calculate a direction of the moving accident vehicle when the moving accident vehicle drives away from the road image screen according to a fourth formula, and send the direction of the moving accident vehicle when the moving accident vehicle drives away from the road image screen to the police through the communication module;
wherein the fourth formula is:
in the fourth formula, the first and second equations,
is shown as
The included angle formed by the driving-off direction of the moving accident vehicle and the X-axis direction in the preset coordinate system,
is shown as
The moving accident vehicle is at the fourth time before
Framing license plate coordinates in the road image;
is shown as
The moving accident vehicle is at the fourth time before
The coordinates of the license plate in the frame road image,
。
2. the system of claim 1, wherein the data processing module calculates the first formula according to
Average speed of individual accident vehicle:
wherein the content of the first and second substances,
is shown as
The average speed of the individual accident vehicle,
representing the ratio of the distance between two adjacent pixel points in the road image collected by the data collection module to the distance between two points corresponding to the actual road,
represents the interval time between the data acquisition module and the two adjacent road images,
is shown as
The total number of frames of images in the first set of images corresponding to the individual accident vehicle,
is shown as
The first image set corresponding to the accident vehicle
In the frame image
Coordinates of the license plate of the individual accident vehicle in a preset coordinate system,
is shown as
The first image set corresponding to the accident vehicle
In the frame image
Coordinates of the license plate of the accident vehicle in a preset coordinate system;
=1,2,3,..,
。
3. the system of claim 2, wherein the data processing module is embodied in a form of a data processing moduleCalculating according to the following second formula
Approximate acceleration of individual accident vehicle:
wherein the content of the first and second substances,
is shown as
The approximate acceleration of the individual accident vehicle,
is shown as
Coordinates of the license plate of the accident vehicle in the accident picture image in a preset coordinate system;
is shown as
Coordinates of the license plate in the road image in a preset coordinate system at the moment when the accident vehicle firstly enters the road image picture.
4. The system of claim 1, wherein the communication module is configured to continuously increase an automatic alarm frequency with time after receiving the alarm triggering signal until receiving a communication response of the police to the alarm, and stop the automatic alarm.
5. The system of claim 4, wherein the communication module is configured to calculate the automatic alert frequency according to a third formula:
in the third formula, the first formula is,
indicating that said communication module has received said alarm trigger signaltWith corresponding durationtThe automatic alarm frequency at the moment;
represents the abovetReceiving the communication response mark value of the police to the alarm at all times, if the communication response mark value is the valuetThe communication response of the police to the alarm is received all the time, then
Otherwise, the
；
Representing a preset initial alarm frequency of the communication module.
6. The system as claimed in any one of claims 1 to 3, wherein the data processing module is configured to call an OCR interface for automatically recognizing a traffic accident in the Array cloud AMS platform, recognize whether a traffic accident exists in the road image, and call an OCR interface for recognizing a license plate in the Array cloud AMS platform, recognize license plate information of an accident vehicle in the accident picture image and/or locate the license plate of the accident vehicle in the road image.
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| CN205158658U (en) * | 2015-10-30 | 2016-04-13 | 西南交通大学 | Highway trouble early warning signal system |
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