CN112199527A - Vehicle passing data processing method and device, electronic equipment and readable storage medium - Google Patents
Vehicle passing data processing method and device, electronic equipment and readable storage medium Download PDFInfo
- Publication number
- CN112199527A CN112199527A CN202011083207.1A CN202011083207A CN112199527A CN 112199527 A CN112199527 A CN 112199527A CN 202011083207 A CN202011083207 A CN 202011083207A CN 112199527 A CN112199527 A CN 112199527A
- Authority
- CN
- China
- Prior art keywords
- passing data
- vehicle passing
- database
- frame
- memory database
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 26
- 230000015654 memory Effects 0.000 claims abstract description 98
- 238000000034 method Methods 0.000 claims abstract description 37
- 238000012545 processing Methods 0.000 claims abstract description 31
- 238000012216 screening Methods 0.000 claims abstract description 13
- 230000014759 maintenance of location Effects 0.000 abstract 1
- 230000008569 process Effects 0.000 description 15
- 238000010586 diagram Methods 0.000 description 13
- 238000004590 computer program Methods 0.000 description 6
- 230000006399 behavior Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 206010039203 Road traffic accident Diseases 0.000 description 2
- 230000009471 action Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000012550 audit Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/51—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
-
- G—PHYSICS
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/625—License plates
Abstract
The application provides a vehicle passing data processing method, a vehicle passing data processing device, electronic equipment and a readable storage medium, wherein the method comprises the following steps: reading vehicle passing data from a structured database and writing the vehicle passing data into a memory database, wherein the structured database is positioned in a hard disk; reading the vehicle passing data from the memory database; obtaining at least one frame of traffic violation image according to the vehicle passing data; storing the at least one frame of traffic violation image into the memory database; and writing the at least one frame of traffic violation image stored in the memory database into the structured database. According to the method and the device, the memory database is used as a database for data reading and writing, the data reading and writing speed is greatly improved, and the data processing efficiency of screening traffic violation pictures from the vehicle passing data as evidence for retention is improved.
Description
Technical Field
The present application relates to the field of intelligent traffic technology/image recognition processing technology, and in particular, to a vehicle passing data processing method and apparatus, an electronic device, and a readable storage medium.
Background
With the continuous improvement of the living standard of people and the continuous development of the technology of motor vehicles, the motor vehicles are continuously popularized in the life of people, and therefore, the keeping quantity of the motor vehicles is continuously increased. Therefore, the illegal behaviors, the rule violations and the rule violations in the daily driving and parking processes are increased correspondingly, and great pressure is brought to the public transportation operation.
In the prior art, intelligent and automatic equipment such as a camera, a test radar and the like can be arranged in a road area. By utilizing the equipment, traffic illegal behaviors, traffic accident information or law enforcement processes can be captured and transmitted to a management platform through a network for analysis and processing by auditors. Wherein, the audit personnel carry out analysis processing, including screening out traffic violation pictures from the violation images as evidence to be stored. Generally, the examiner reads and processes the car data by using the structured database, but this processing method still has a problem of low processing efficiency.
Disclosure of Invention
The application provides a vehicle passing data processing method and device, electronic equipment and a readable storage medium, which are used for solving the problem of low rate in the prior art.
In a first aspect, the present application provides a vehicle-passing data processing method, including:
reading vehicle passing data from a structured database and writing the vehicle passing data into a memory database, wherein the structured database is positioned in a hard disk;
reading the vehicle passing data from the memory database;
obtaining at least one frame of traffic violation image according to the vehicle passing data;
storing the at least one frame of traffic violation image into the memory database;
and writing the at least one frame of traffic violation image stored in the memory database into the structured database.
In one embodiment, the obtaining at least one frame of traffic violation image according to the vehicle-passing data includes:
and obtaining the at least one frame of traffic violation image according to the vehicle passing data and the license plate identification configuration information indicated by the user.
In one embodiment, the obtaining the at least one frame of traffic violation image according to the vehicle passing data and the license plate identification configuration information indicated by the user includes:
obtaining a target image meeting the preset definition from the vehicle passing data according to the license plate identification configuration information;
performing license plate recognition on the target image to obtain at least one frame of target image corresponding to at least one license plate;
and screening out at least one frame of traffic violation image corresponding to each license plate from at least one frame of target image corresponding to each license plate.
In one embodiment, after writing the at least one frame of traffic violation image stored in the in-memory database into the structured database, the method further includes:
and deleting the at least one frame of traffic violation image from the memory database.
In one embodiment, the method further comprises:
and deleting the passing data from the memory database.
In one embodiment, the reading the vehicle data from the structured database and writing the vehicle data into the in-memory database includes:
and reading the passing data from the structured database and writing the passing data into the memory database by using a first thread, wherein the first thread is different from a thread used for reading the passing data except the passing data from the structured database.
In one embodiment, the reading the vehicle passing data from the in-memory database includes:
and reading the vehicle passing data from the memory database by using a second thread, wherein the second thread is different from the thread used for reading the vehicle passing data except the vehicle passing data from the memory database.
In another aspect, the present application provides a vehicle passing data processing apparatus, including:
the reading module is used for reading the vehicle passing data from the structured database and writing the vehicle passing data into the memory database, and the structured database is positioned in the hard disk;
the reading module is also used for reading the vehicle passing data from the memory database;
the processing module is used for obtaining at least one frame of traffic violation image according to the vehicle passing data;
the writing module is used for storing the at least one frame of traffic violation image into the memory database;
the writing module is further configured to write the at least one frame of traffic violation image stored in the in-memory database into the structured database.
In another aspect, the present application provides an electronic device, including a memory, a processor, and a transceiver, where the memory is used to store instructions, and the transceiver is used to communicate with other devices, and the processor is used to execute the instructions stored in the memory, so that the electronic device executes the vehicle passing data processing method according to the first aspect.
In another aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions, which when executed, cause a computer to execute the vehicle passing data processing method according to the first aspect.
According to the vehicle passing data processing method, the vehicle passing data in the structured database is stored in the memory database, the vehicle passing data is read through the memory database, at least one frame of traffic violation image is obtained according to the vehicle passing data, the obtained at least one frame of traffic violation image is stored in the memory database, and the violation image stored in the memory database is written into the structured database. The internal memory database is used as a data reading and writing database, so that the data reading and writing speed is greatly improved, and the data processing efficiency of screening traffic violation pictures from the vehicle passing data as evidence to be kept is improved.
Drawings
In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1(a) is an application scenario schematic diagram of the vehicle passing data processing method provided in the present application.
Fig. 1(b) is an application scenario schematic diagram of the vehicle passing data processing method provided by the present application.
Fig. 2 is a schematic flow chart of a vehicle passing data processing method according to an embodiment of the present application.
Fig. 3 is a schematic flow chart of a vehicle passing data processing method according to another embodiment of the present application.
Fig. 4 is a schematic diagram of a vehicle passing data processing device according to an embodiment of the present application.
Fig. 5 is a schematic diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terms referred to in this application are explained first:
thread: the operating system is able to perform the minimum unit of operation scheduling.
With the continuous improvement of the living standard of people and the continuous development of the technology of motor vehicles, the motor vehicles are continuously popularized in the life of people, and the number of the motor vehicles is continuously increased. Due to the violent increase of vehicles and the high road traffic pressure, traffic illegal behaviors such as road congestion, illegal driving, illegal parking and the like appear, and great pressure is brought to the operation of public transportation. In the prior art, intelligent and automatic devices such as a camera and a test radar are generally arranged in a road area, and are used for capturing traffic violation behaviors, traffic accident information or law enforcement process and the like, and transmitting the information to a management platform through a network for analysis and processing by auditors. However, with the increase of motor vehicles, the passing data captured by the front-end camera is more and more, and the workers need to check and screen the passing data one by one to find out the traffic violation pictures which can be stored as the violation evidence, which wastes a large amount of manpower and time and causes the problem of extremely low efficiency of checking the passing data. In order to improve the auditing efficiency, workers introduce a structured database to read and process the vehicle data, but the processing method still has the problem of low processing efficiency.
Based on the problems, the traffic violation images are determined to be stored after the vehicle passing data are read from the memory database and analyzed through the computer program algorithm. Because the speed of reading and writing data from the memory database is very high, the auditing efficiency of the vehicle passing data can be improved.
The vehicle passing data processing method is applied to electronic equipment such as a computer, a server, a tablet computer, a mobile phone and the like. Fig. 1(a) and fig. 1(b) are schematic application diagrams of the vehicle passing data processing method provided by the present application. The camera and the camera record the traffic violation information of the motor vehicle and send the traffic violation information to the computer. The computer comprises a platform, a structured database and a memory database, wherein the structured database is arranged in the hard disk and is used for receiving the traffic violation information which is sent by the platform and is subjected to structured processing, namely vehicle passing data, and storing the vehicle passing data. The memory database can read the vehicle passing data in the structured database, and other data processing modules in the computer read the vehicle passing data in the memory database and configure and call an algorithm to process the vehicle passing data according to a screening requirement, wherein the screening requirement configures, for example, license plate configuration information, traffic violation picture definition requirements and the like.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Referring to fig. 2, the present application provides a vehicle passing data processing method, including:
s201, reading the vehicle passing data from the structured database and writing the vehicle passing data into the memory database, wherein the structured database is located in the hard disk.
The computer can obtain a large amount of traffic violation information such as equipment numbers, equipment names, traffic violations, number plates, number plate types, traffic violation pictures and the like from a platform in a multi-thread mode, convert the traffic violation information into structured data and store the structured data in the structured database, wherein the structured data contained in the structured database forms the vehicle passing data. Before or during the storage of the traffic violation information as the structured data in the structured database, the computer may further filter out invalid information in the traffic violation information, such as an incorrect device name, an invalid device number, or a picture of traffic violation where information cannot be obtained from the picture, and the like. In an alternative embodiment, before the traffic violation information is stored as the structural data in the structured database, invalid information in the traffic violation information needs to be filtered out first, so as to save the data occupation space of the structural database.
After the passing data is stored in the structured database, the passing data is read from the structured database and written into the in-memory database. The memory database refers to a database in which all data access control is performed in a memory, the conventional way of disk data management is abandoned in the way of performing all data access control in the memory, an architecture is redesigned in the memory based on all data, and corresponding improvements are performed in the aspects of data caching, fast algorithm and parallel operation, so that the data processing speed is much higher than that of the conventional database and is generally more than 10 times higher. In this embodiment, the vehicle passing data is written into the memory database, so that the reading speed and the processing speed of the vehicle passing data can be increased, and the efficiency of screening out the required illegal image from the vehicle passing data is improved.
S202, reading the vehicle passing data from the memory database.
And the algorithm program in the computer asynchronously reads the vehicle passing data cached by the memory database from the memory database, and compared with the method for directly reading the vehicle passing data from the structured database of the hard disk, the speed of asynchronously reading the vehicle passing data from the memory database by the algorithm program is several orders of magnitude faster. If the memory database stores the vehicle passing data, the algorithm program may directly read the vehicle passing data from the memory database without reading the vehicle passing data from the structured database in step S201.
S203, obtaining at least one frame of traffic violation image according to the vehicle passing data.
That is, at least one frame of traffic violation image is screened and obtained from the vehicle passing data through an intelligent violation auditing algorithm, where the screening means that image information such as resolution, width, and height of the at least one frame of traffic violation image needs to meet preset requirements, for example, the obtained resolution of the at least one frame of traffic violation image needs to reach the preset resolution, or the width of the at least one frame of traffic violation image needs to reach the preset width, and the like. For example, the vehicle-passing data includes a plurality of frames of traffic violation images, if a certain one of the plurality of frames of traffic violation images does not reach a preset resolution or a preset width, the certain one of the plurality of frames of traffic violation images is rejected, the remaining traffic violation images in the plurality of frames of traffic violation images are the violation images that need to be stored, that is, the remaining traffic violation images are the at least one frame of traffic violation images obtained according to the vehicle-passing data, and the at least one frame of traffic violation images can be stored as violation evidence.
S204, storing the at least one frame of traffic violation image into the memory database.
The at least one screened traffic violation image is stored in the memory database, the speed is higher compared with a method of directly storing the at least one screened traffic violation image in the structured database, and the processing efficiency of the vehicle passing data can be improved.
S205, writing the at least one frame of traffic violation image stored in the memory database into the structured database.
And writing the screened illegal image into the structured database through the memory database as an intermediate database. Compared with the method that the screened illegal image is directly stored in the structured database, the data writing speed of writing the screened illegal image into the structured database by taking the memory database as the intermediate database is higher, and the processing efficiency of the vehicle passing data can be improved.
In the method for processing vehicle passing data provided in this embodiment, the vehicle passing data in the structured database is stored in the memory database, the vehicle passing data is read through the memory database, at least one frame of traffic violation image is obtained according to the vehicle passing data, the obtained at least one frame of traffic violation image is stored in the memory database, and the violation image stored in the memory database is written into the structured database. The internal memory database is used as a data reading and writing database, so that the data reading and writing speed is greatly improved, and the data processing efficiency of screening traffic violation pictures from the vehicle passing data as evidence to be kept is improved.
In one embodiment of the present application, step S203 includes:
and obtaining the at least one frame of traffic violation image according to the vehicle passing data and the license plate identification configuration information indicated by the user.
The number plate identification configuration information may include, for example, the identification accuracy of the vehicle number plate, the recognition rate of the vehicle number plate, and the like.
And screening the at least one frame of traffic violation image from the vehicle passing data according to the number plate identification configuration information, wherein the obtained at least one frame of traffic violation image can be reserved as a violation evidence. The number plate identification configuration information can be set according to actual needs, and the application is not limited. In an alternative embodiment, the staff member can dynamically adjust the number plate identification configuration information at any time.
Referring to fig. 3, in an embodiment of the present application, the obtaining the at least one frame of traffic violation image according to the vehicle passing data and the license plate identification configuration information indicated by the user includes:
s301, obtaining a target image meeting the preset definition from the vehicle passing data according to the configuration information of the number identification plate.
The target image needs to satisfy the preset definition and also needs to satisfy the number plate configuration information. The number plate configuration information includes, for example, the recognition accuracy of the vehicle number plate, and the recognition rate of the vehicle number plate. The number identification configuration information and the preset definition can be set according to actual needs, and the application is not limited.
S302, license plate recognition is carried out on the target image to obtain at least one frame of target image corresponding to at least one license plate.
The target image may or may not be an illegal image. After the license plate recognition is carried out on the target image, the recognized license plate and the target image can be associated. The target image may include a plurality of license plates, and thus at least one frame of target image corresponding to at least one license plate can be obtained by performing license plate recognition on the target image.
S303, screening out at least one frame of traffic violation image corresponding to each license plate from at least one frame of target image corresponding to each license plate.
The at least one frame of target image includes an image showing an illegal action and an image not showing the illegal action, after the at least one frame of target image corresponding to each license plate is obtained, at least one frame of traffic illegal image corresponding to the license plate needs to be screened out from the at least one frame of image, and the at least one frame of traffic illegal image is stored as an illegal evidence of a motor vehicle corresponding to the license plate.
In an embodiment of the application, after step S205, the vehicle passing data processing method further includes:
deleting the at least one frame of traffic violation image from the in-memory database.
The purpose of deleting the at least one frame of traffic violation image in the in-memory database is to prevent the in-memory database from running too slowly due to excessive data stored in the in-memory database, prevent the in-memory database from reading data from the structured database too slowly, prevent the in-memory database from reading the passing data too slowly, and prevent the in-memory database from writing the at least one frame of traffic violation image into the structured database too slowly. Deleting the at least one frame of traffic violation image from the in-memory database, necessarily after the in-memory database writes the at least one frame of traffic violation image into the structured database. In an alternative embodiment, the deleting of the at least one frame of traffic violation image from the in-memory database may be a real-time deleting, that is, a real-time deleting of the at least one frame of traffic violation image from the in-memory database after the at least one frame of traffic violation image is written into the structured data. In an alternative embodiment, the deleting of the at least one frame of traffic violation image from the in-memory database may also be a timed deletion, that is, the at least one frame of traffic violation image is periodically deleted from the in-memory database after the at least one frame of traffic violation image is written into the structured data.
In one embodiment of the present application, the vehicle passing data processing method further includes:
and deleting the passing data from the memory database.
The purpose of deleting the at least one frame of traffic violation image in the in-memory database is the same, because the in-memory database can read the vehicle passing data from the structured database, the vehicle passing data in the in-memory database can be deleted, so that the running speed of the in-memory database can be improved. The passing car data is deleted from the in-memory database, which may be after the computer has read the passing car data from the in-memory database. In an alternative embodiment, the vehicle passing data may be deleted from the in-memory database in real time, that is, the vehicle passing data is read from the in-memory database and then deleted from the in-memory database in real time. In an alternative embodiment, the vehicle passing data is deleted from the memory database at regular time, that is, the vehicle passing data is deleted from the memory database at regular time after being read from the memory database.
In one embodiment of the present application, step S201 includes:
and reading the passing data from the structured database and writing the passing data into the memory database by using a first thread, wherein the first thread is different from the thread used for reading the passing data except the passing data in the structured database.
When the multi-vehicle data is read from the structured database, a plurality of threads are adopted to simultaneously read the vehicle passing data, and the first thread refers to any one thread used when the vehicle passing data is read from the structured database.
In one embodiment of the present application, step S202 includes:
and reading the passing data from the memory database by using a second thread, wherein the second thread is different from the thread used for reading the passing data except the passing data from the memory database.
When the vehicle passing data is read from the memory database, a plurality of threads simultaneously read the vehicle passing data from the memory database, and then the display card is called to carry out the operation of the vehicle passing data, so that the at least one frame of traffic violation image is obtained. The second thread refers to any one of a plurality of threads that read the passing data from the memory database at the same time.
The vehicle passing data is read from the structured database by using a plurality of threads at the same time, and the vehicle passing data is read from the memory database by using a plurality of threads at the same time, so that the reading speed of the vehicle passing data can be increased, and the auditing rate of the vehicle passing data is improved. The process of writing the at least one frame of traffic violation data into the structured database in the memory database follows the process of reading the vehicle passing data from the structured database, and the process of reading the vehicle passing data from the memory database are not affected and interfered with each other.
Referring to fig. 4, the present application further provides a vehicle passing data processing device 10, including:
and the reading module 11 is configured to read the vehicle data from the structured database and write the vehicle data into the memory database, where the structured database is located in the hard disk. The reading module 11 is specifically configured to use a first thread to read the passing vehicle data from the structured database and write the passing vehicle data into the memory database, where the first thread is different from a thread used to read the passing vehicle data other than the passing vehicle data from the structured database.
The reading module 11 is further configured to read the passing data from the in-memory database. The reading module 11 is specifically configured to read the vehicle passing data from the memory database by using a second thread, where the second thread is different from a thread used for reading the vehicle passing data other than the vehicle passing data from the memory database.
And the processing module 12 is configured to obtain at least one frame of traffic violation image according to the vehicle passing data. The processing module 12 is specifically configured to obtain the at least one frame of traffic violation image according to the vehicle passing data and the license plate identification configuration information indicated by the user. The processing module 12 is specifically configured to obtain a target image meeting a preset definition from the vehicle passing data according to the license plate identification configuration information; performing license plate recognition on the target image to obtain at least one frame of target image corresponding to at least one license plate; and screening out at least one frame of traffic violation image corresponding to each license plate from at least one frame of target image corresponding to each license plate.
A write-in module 13, configured to store the at least one frame of traffic violation image in the memory database;
the writing module 13 is further configured to write the at least one frame of traffic violation image stored in the in-memory database into the structured database.
The vehicle-passing data processing device 10 further comprises a deleting module 14, wherein the deleting module 14 is configured to delete the at least one frame of traffic violation image from the in-memory database. The deleting module 14 is further configured to delete the vehicle passing data from the in-memory database.
Referring to fig. 5, the present application further provides an electronic device 20, which includes a memory 21, a processor 22 and a transceiver 23, where the memory 21 is used to store instructions, the transceiver 23 is used to communicate with other devices, and the processor 22 is used to execute the instructions stored in the memory 21, so that the electronic device executes the vehicle passing data processing method according to any one of the above methods.
The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the instructions are executed, the computer-executable instructions are executed by a processor to implement the passing data processing method provided in any one of the above embodiments. The present application further provides another computer-readable storage medium, in which computer-executable instructions are stored, and when the instructions are executed, the computer is caused to execute the vehicle passing data processing method provided in any one of the above embodiments.
The computer-readable storage medium may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a magnetic Random Access Memory (FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical Disc, or a Compact Disc Read-Only Memory (CD-ROM). And may be various electronic devices such as mobile phones, computers, tablet devices, personal digital assistants, etc., including one or any combination of the above-mentioned memories.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method described in the embodiments of the present application.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. 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.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.
Claims (10)
1. A vehicle passing data processing method is characterized by comprising the following steps:
reading vehicle passing data from a structured database and writing the vehicle passing data into a memory database, wherein the structured database is positioned in a hard disk;
reading the vehicle passing data from the memory database;
obtaining at least one frame of traffic violation image according to the vehicle passing data;
storing the at least one frame of traffic violation image into the memory database;
and writing the at least one frame of traffic violation image stored in the memory database into the structured database.
2. The method according to claim 1, wherein obtaining at least one traffic violation image according to the vehicle passing data comprises:
and obtaining the at least one frame of traffic violation image according to the vehicle passing data and the license plate identification configuration information indicated by the user.
3. The method according to claim 2, wherein the obtaining the at least one traffic violation image according to the vehicle passing data and the license plate identification configuration information indicated by the user comprises:
obtaining a target image meeting the preset definition from the vehicle passing data according to the license plate identification configuration information;
performing license plate recognition on the target image to obtain at least one frame of target image corresponding to at least one license plate;
and screening out at least one frame of traffic violation image corresponding to each license plate from at least one frame of target image corresponding to each license plate.
4. The method of claim 1, wherein after writing the at least one frame of traffic violation image stored in the in-memory database into the structured database, further comprising:
and deleting the at least one frame of traffic violation image from the memory database.
5. The method of claim 4, further comprising:
and deleting the passing data from the memory database.
6. The method of any of claims 1-5, wherein reading the vehicle data from the structured database and writing the vehicle data to the in-memory database comprises:
and reading the passing data from the structured database and writing the passing data into the memory database by using a first thread, wherein the first thread is different from a thread used for reading the passing data except the passing data from the structured database.
7. The method according to any one of claims 1 to 5, wherein the reading the passing data from the in-memory database comprises:
and reading the vehicle passing data from the memory database by using a second thread, wherein the second thread is different from the thread used for reading the vehicle passing data except the vehicle passing data from the memory database.
8. A vehicle-passing data processing apparatus, comprising:
the reading module is used for reading the vehicle passing data from the structured database and writing the vehicle passing data into the memory database, and the structured database is positioned in the hard disk;
the reading module is also used for reading the vehicle passing data from the memory database;
the processing module is used for obtaining at least one frame of traffic violation image according to the vehicle passing data;
the writing module is used for storing the at least one frame of traffic violation image into the memory database;
the writing module is further configured to write the at least one frame of traffic violation image stored in the in-memory database into the structured database.
9. An electronic device comprising a memory for storing instructions, a processor for communicating with other devices, and a transceiver for executing the instructions stored in the memory to cause the electronic device to perform the passing data processing method of any one of claims 1-7.
10. A computer-readable storage medium having computer-executable instructions stored therein, which when executed, cause a computer to perform the passing vehicle data processing method of any one of claims 1 to 7.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011083207.1A CN112199527A (en) | 2020-10-12 | 2020-10-12 | Vehicle passing data processing method and device, electronic equipment and readable storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011083207.1A CN112199527A (en) | 2020-10-12 | 2020-10-12 | Vehicle passing data processing method and device, electronic equipment and readable storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112199527A true CN112199527A (en) | 2021-01-08 |
Family
ID=74014335
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011083207.1A Pending CN112199527A (en) | 2020-10-12 | 2020-10-12 | Vehicle passing data processing method and device, electronic equipment and readable storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112199527A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113660461A (en) * | 2021-08-09 | 2021-11-16 | 青岛海信网络科技股份有限公司 | Method, device and equipment for evaluating performance of video vehicle passing equipment |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040222904A1 (en) * | 2003-05-05 | 2004-11-11 | Transol Pty Ltd | Traffic violation detection, recording and evidence processing system |
CN107729413A (en) * | 2017-09-25 | 2018-02-23 | 安徽畅通行交通信息服务有限公司 | Regional traffic intelligent management system based on big data |
CN108683697A (en) * | 2018-03-28 | 2018-10-19 | 青岛海尔科技有限公司 | Connect method, system, selector and the server of Redis memory databases |
CN110858199A (en) * | 2018-08-08 | 2020-03-03 | 北京京东尚科信息技术有限公司 | Document data distributed computing method and device |
CN111401200A (en) * | 2020-03-10 | 2020-07-10 | 北京以萨技术股份有限公司 | Traffic violation picture processing method and device and readable storage medium |
-
2020
- 2020-10-12 CN CN202011083207.1A patent/CN112199527A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040222904A1 (en) * | 2003-05-05 | 2004-11-11 | Transol Pty Ltd | Traffic violation detection, recording and evidence processing system |
CN107729413A (en) * | 2017-09-25 | 2018-02-23 | 安徽畅通行交通信息服务有限公司 | Regional traffic intelligent management system based on big data |
CN108683697A (en) * | 2018-03-28 | 2018-10-19 | 青岛海尔科技有限公司 | Connect method, system, selector and the server of Redis memory databases |
CN110858199A (en) * | 2018-08-08 | 2020-03-03 | 北京京东尚科信息技术有限公司 | Document data distributed computing method and device |
CN111401200A (en) * | 2020-03-10 | 2020-07-10 | 北京以萨技术股份有限公司 | Traffic violation picture processing method and device and readable storage medium |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113660461A (en) * | 2021-08-09 | 2021-11-16 | 青岛海信网络科技股份有限公司 | Method, device and equipment for evaluating performance of video vehicle passing equipment |
CN113660461B (en) * | 2021-08-09 | 2024-03-15 | 青岛海信网络科技股份有限公司 | Method, device and equipment for evaluating performance of video passing equipment |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108537916B (en) | Block chain-based driving record information processing method and device | |
CN108091140B (en) | Method and device for determining fake-licensed vehicle | |
CN110177255B (en) | Case scheduling-based video information publishing method and system | |
CN112016520A (en) | AI-based traffic violation voucher generation method, device, terminal and storage medium | |
CN112199527A (en) | Vehicle passing data processing method and device, electronic equipment and readable storage medium | |
CN115660656A (en) | Method, device and equipment for identifying user and account registration | |
CN110930537A (en) | Vehicle data acquisition method, device and equipment based on big data and storage medium | |
CN111368617B (en) | Vehicle access data processing method and device | |
CN111368626B (en) | Vehicle identification method, device, electronic equipment and storage medium | |
CN112528901A (en) | Vehicle aggregation alarm method and system based on big data | |
CN111064924A (en) | Video monitoring method and system based on artificial intelligence | |
KR102101090B1 (en) | Vehicle accident video sharing method and apparatus | |
CN115567563B (en) | Comprehensive transportation hub monitoring and early warning system based on end edge cloud and control method thereof | |
CN112215038A (en) | Specific vehicle identification system, method, and storage medium | |
CN112330967B (en) | Identification method, device and system of fake-licensed vehicle and computer equipment | |
KR20150080058A (en) | Video sharing system and method of black box for vehicle | |
CN111861498B (en) | Monitoring method, device, equipment and storage medium for taxis | |
CN108882146B (en) | Abnormal behavior detection method for vehicle-mounted communication equipment, electronic equipment and system | |
CN111091634A (en) | Method for identifying violation of restriction rules of automobile, vehicle-mounted terminal, server and system | |
CN113808405A (en) | Real-time early warning method for muck truck | |
CN112509334A (en) | Vehicle violation management system, method and storage medium | |
CN110838243A (en) | Parking space data processing method and device and computer readable storage medium | |
CN112464030B (en) | Suspicious person determination method and suspicious person determination device | |
CN106911550B (en) | Information pushing method, information pushing device and system | |
CN112614347B (en) | Fake plate detection method and device, computer equipment and storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |