CN114187585A - Intelligent identification method and system for shielded license plate vehicle - Google Patents
Intelligent identification method and system for shielded license plate vehicle Download PDFInfo
- Publication number
- CN114187585A CN114187585A CN202111591740.3A CN202111591740A CN114187585A CN 114187585 A CN114187585 A CN 114187585A CN 202111591740 A CN202111591740 A CN 202111591740A CN 114187585 A CN114187585 A CN 114187585A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- license plate
- candidate
- plate number
- obtaining
- 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
Images
Classifications
-
- 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
Abstract
The invention provides an intelligent recognition method and system for a shielded license plate vehicle, wherein the intelligent recognition method comprises the following steps: acquiring a picture of a vehicle to be detected; obtaining the residual license plate number and the vehicle type information of the vehicle to be detected according to the picture; obtaining a candidate license plate number of the vehicle to be tested according to the residual license plate number; and identifying the vehicle to be tested according to the vehicle type information and the candidate license plate number. According to the technical scheme provided by the invention, the license plate number of the vehicle to be detected can be obtained by combining the vehicle type information and the residual license plate number of the vehicle to be detected, so that the identification of the shielded license plate vehicle can be realized, and the working efficiency and accuracy of identifying the shielded license plate vehicle can be improved.
Description
Technical Field
The present invention relates generally to the field of license plate identification. More particularly, the present invention relates to an intelligent identification method and system for an occluded license plate vehicle.
Background
In the road intelligent management system, in order to realize monitoring management of vehicles on the road, acquiring position information and running information of the vehicles on the road is required, for example, a vehicle management system which is mutually communicated with the road intelligent management system can be mounted on the vehicles, the road management system acquires the position of the vehicles through a positioning device on the vehicles, and acquires the running information such as the speed of the vehicles through an odometer of the vehicles.
The road intelligent management system also comprises road image acquisition equipment arranged beside the road, and when the vehicle management system of the vehicle can not communicate with the road intelligent management system, the road image acquisition equipment can acquire the images of the vehicles on the road and identify the vehicles according to the images of the vehicles. When identifying a vehicle, identifying through the license plate number is the simplest and quickest identification method. However, the license plate of the vehicle can be shielded by attachments such as oil stains and mud lumps, and the road image acquisition equipment cannot acquire the complete license plate and cannot identify the vehicles.
In conclusion, the prior art has the problem that the shielded license plate vehicle cannot be identified.
Disclosure of Invention
The invention provides an intelligent identification method and system for a shielded license plate vehicle, which at least solve the problem that the shielded license plate vehicle cannot be identified.
In order to solve the above problem, in one aspect, the present invention provides an intelligent identification method for a shielded license plate vehicle, including:
acquiring a picture of a vehicle to be detected;
obtaining the residual license plate number and the vehicle type information of the vehicle to be detected according to the picture;
obtaining a candidate license plate number of the vehicle to be tested according to the residual license plate number;
and identifying the vehicle to be tested according to the vehicle type information and the candidate license plate number.
According to one embodiment of the present invention, the vehicle type information includes a make and a model of the vehicle.
According to another embodiment of the invention, the identifying the vehicle to be tested according to the vehicle type information and the candidate license plate number comprises:
obtaining candidate vehicles according to the candidate license plate numbers;
and obtaining a vehicle corresponding to the vehicle type of the vehicle to be tested from the candidate vehicles, and taking the vehicle as the vehicle to be tested.
Further, according to another embodiment of the present invention, the determining the license plate number of the vehicle to be tested according to the vehicle type information and the candidate license plate number further includes: and obtaining the position of the candidate vehicle, screening the candidate vehicle according to the position of the candidate vehicle, and then obtaining the vehicle corresponding to the vehicle type of the vehicle to be tested from the screened candidate vehicles.
Further, according to another embodiment of the present invention, a license plate database is further obtained, and the license plate database stores model information of vehicles corresponding to each license plate.
In another aspect, the present invention further provides an intelligent recognition system for a license plate obstructing vehicle, comprising a processor and a memory, wherein the memory stores a computer program, and the processor executes the computer program to implement the following method:
acquiring a picture of a vehicle to be detected;
obtaining the residual license plate number and the vehicle type information of the vehicle to be detected according to the picture;
obtaining a candidate license plate number of the vehicle to be tested according to the residual license plate number;
and identifying the vehicle to be tested according to the vehicle type information and the candidate license plate number.
According to one embodiment of the present invention, the vehicle type information includes a make and a model of the vehicle.
According to another embodiment of the invention, the identifying the vehicle to be tested according to the vehicle type information and the candidate license plate number comprises:
obtaining candidate vehicles according to the candidate license plate numbers;
and obtaining a vehicle corresponding to the vehicle type of the vehicle to be tested from the candidate vehicles, and taking the vehicle as the vehicle to be tested.
Further, according to another embodiment of the present invention, the determining the license plate number of the vehicle to be tested according to the vehicle type information and the candidate license plate number further includes: and obtaining the position of the candidate vehicle, screening the candidate vehicle according to the position of the candidate vehicle, and then obtaining the vehicle corresponding to the vehicle type of the vehicle to be tested from the screened candidate vehicles.
Further, according to another embodiment of the present invention, a license plate database is further obtained, and the license plate database stores model information of vehicles corresponding to each license plate.
According to the technical scheme provided by the invention, the candidate license plate number is determined according to the residual license plate number of the vehicle to be tested, and the license plate number of the vehicle to be tested is obtained according to the vehicle type information and the candidate license plate number of the vehicle to be tested. According to the technical scheme provided by the invention, the license plate number of the vehicle to be detected can be obtained by combining the vehicle type information and the residual license plate number of the vehicle to be detected, so that the identification of the shielded license plate vehicle can be realized, and the working efficiency and the accuracy of identifying the shielded license plate vehicle can be improved.
Drawings
The above and other objects, features and advantages of exemplary embodiments of the present disclosure will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. Several embodiments of the present disclosure are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which like reference numerals refer to similar or corresponding parts and in which:
fig. 1 is a diagram illustrating an intelligent identification method for a shielded license plate vehicle according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it should be understood by those skilled in the art that the embodiments described below are some embodiments of the present disclosure, but 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.
Referring to fig. 1, fig. 1 is a flowchart illustrating an intelligent identification method for a license plate-blocked vehicle, which is used for identifying a license plate-blocked vehicle and improving the accuracy of identification of the license plate-blocked vehicle.
As shown in fig. 1, the intelligent identification method for an occluded license plate vehicle provided in this embodiment includes the following steps:
the method comprises the following steps: and acquiring a picture of the vehicle to be detected. The intelligent identification method for the vehicle with the blocked license plate is suitable for a road vehicle management system, a plurality of road image acquisition devices (such as cameras) are arranged in the system, and the road image acquisition devices can acquire images on roads to further obtain images of all vehicles on the roads, wherein the images comprise pictures of the vehicles to be detected.
Step two: and obtaining the residual license plate number and the vehicle type information of the vehicle to be detected according to the picture of the vehicle to be detected. After the picture of the vehicle to be detected is obtained, the license plate number of the vehicle can be identified in a manual identification or intelligent identification mode, and when the manual identification mode is adopted, a worker obtains the residual license plate number and the vehicle information of the vehicle to be detected by observing the picture; when the intelligent identification mode is adopted, the residual license plate number and the vehicle information of the vehicle to be detected can be identified through an image identification method. And then judging whether the license plate of the vehicle to be detected is shielded, wherein the judging method comprises the following steps: and identifying characters in the license plate, and judging whether the identification result accords with the coding rule of the license plate, if the length of the characters of the license plate is the set length, if not, judging that the characters in the license plate are shielded. And when the characters in the license plate are shielded, acquiring the space between the recognized characters, and if the space is larger than the set space, judging that the characters at the position are shielded. And if the license plate of the vehicle to be detected is shielded, obtaining the residual license plate number and the vehicle type of the vehicle to be detected. The residual license plate numbers refer to other numbers except for the shielded numbers or letters in the license plate numbers.
Step three: and obtaining the candidate license plate number of the vehicle to be tested according to the residual license plate number. The license plate numbers of vehicles running on the road are stored in the road management system, namely the license plate numbers of the vehicles are stored in the road management system, after the residual license plates of the vehicles to be tested are obtained, all license plate numbers corresponding to the residual license plate numbers are searched from the stored license plate numbers, and the license plate numbers are the candidate license plate numbers. For example, when the last number of the license plate number of the vehicle to be detected is shielded, the license plate numbers which are the same as the residual license plate numbers after the last number is shielded are searched from the license plate numbers stored in the road management system, and the license plate numbers are candidate license plate numbers.
Step four: and determining the license plate number of the vehicle to be tested according to the vehicle type information and the candidate license plate number of the vehicle to be tested. In the road management system, not only the license plate number of each vehicle but also the vehicle type information of each vehicle are stored, and after the candidate license plate number is obtained, the vehicle with the same vehicle type information as that of the vehicle to be detected is found out from the vehicles corresponding to the candidate license plate number, and the vehicle is the vehicle to be detected.
In conclusion, the technical scheme that this application provided can combine the remaining license plate number and the motorcycle type information of the vehicle that awaits measuring to discern the vehicle that awaits measuring, compares with prior art, not only can realize the discernment to sheltering from the license plate vehicle, can also improve the efficiency of discernment and the accuracy of discernment.
The intelligent identification method for the shielded license plate vehicle is introduced in the above, and the vehicle type information is explained in detail below by combining a specific application scenario.
In one embodiment, the vehicle type information includes the make and model of the vehicle. The existing vehicle is pasted with the car logo and the model of the vehicle on the vehicle body, and after the picture of the vehicle to be detected is obtained, the car logo and the model of the vehicle to be detected can be identified through manual identification or intelligent picture identification, so that the brand and the model of the vehicle to be detected are determined. After the candidate license plate number of the vehicle to be detected is obtained, the vehicle with the same product number and model as the vehicle to be detected can be found out from the brand and model of the vehicle corresponding to the candidate license plate number, and the vehicle is the vehicle to be detected.
In another embodiment, the following method can be adopted for determining the vehicle to be tested according to the vehicle type information and the candidate license plate number: firstly, obtaining candidate vehicles according to the candidate license plate numbers, namely, taking the vehicles corresponding to the candidate license plate numbers as the candidate vehicles; and then obtaining a vehicle with the same information as the vehicle type of the vehicle to be tested from the candidate vehicles, and taking the vehicle as the vehicle to be tested.
Further, in yet another embodiment, the method for determining the vehicle to be tested according to the vehicle type information and the candidate license plate number further includes: the method comprises the steps of firstly obtaining the position of a candidate vehicle, screening the candidate vehicle according to the position of the candidate vehicle, and then obtaining the vehicle with the same information as the vehicle type of the vehicle to be tested from the screened candidate vehicles. Each vehicle is provided with a positioning device, and the road management system can obtain the position information of each vehicle according to each positioning device or identify each candidate vehicle from the images acquired by the road image acquisition device of the road management system, and determine the position of each candidate vehicle according to the position of the road image acquisition device. After the candidate vehicles are obtained, if the position information of a certain candidate vehicle can be obtained, it can be stated that the license plate number of the candidate vehicle is not blocked and can be detected, that is, the candidate vehicle is unlikely to be the vehicle to be detected, so that the candidate vehicle can be deleted from the candidate vehicles, and finally, the candidate vehicles in which the license plate number cannot be detected, that is, the candidate vehicles after being screened, are obtained. The arrangement mode of the embodiment can discharge impossible candidate vehicles and can improve the accuracy of the identification of the vehicle to be detected.
In another embodiment, after the candidate vehicles are obtained, the position of each candidate vehicle at the latest moment may be obtained first, the candidate vehicles are screened according to the position of each candidate vehicle at the latest moment, and then the vehicle with the same type information as the vehicle to be tested is obtained from the screened candidate vehicles. The latest time is the time when the candidate vehicle is detected to be the latest relative to the current time, and the current time is the time when the picture of the vehicle to be detected is obtained. After the position of each candidate vehicle at the latest moment is obtained, whether each candidate vehicle can drive to the position of the vehicle to be tested from the position of the latest moment in the time period from the latest moment to the current moment can be judged, and if not, the candidate vehicle is deleted from the candidate vehicles.
For example, if the current time is T0, the closest time of one candidate vehicle is T1, and the distance between the position of the candidate vehicle and the vehicle to be tested at the closest time T1 is L, the vehicle speed V0 of the candidate vehicle, which is the travel distance L from the closest time T1 to the current time T0, is calculated as follows:
V0＝L/(T1-T0)
and then judging whether the V0 is greater than the set speed, if so, considering that the candidate vehicle cannot drive from the position where the candidate vehicle is located at the latest moment to the position where the vehicle to be detected is located, otherwise, considering that the candidate vehicle can drive from the position where the candidate vehicle is located at the latest moment to the position where the vehicle to be detected is located.
The intelligent identification method for the shielded license plate vehicle is further described below.
In one embodiment, the intelligent identification method for the shielded license plate vehicle further comprises acquiring a license plate database. The license plate database stores vehicle type information of vehicles corresponding to each license plate number, can acquire the vehicle type information and the license plate number of the vehicle on the license plate handling of the vehicle, then stores the vehicle type information and the license plate number in the license plate database, and updates the data of the license plate database when the vehicle is replaced by the license plate number or a new vehicle handles the license plate number.
On the other hand, the present invention further provides an intelligent recognition system for an occluded licensed vehicle, where the intelligent recognition system includes a processor and a memory, where the memory stores a computer program, and when the processor executes the computer program, the intelligent recognition system can implement the intelligent recognition method for an occluded licensed vehicle according to the foregoing embodiments.
While various embodiments of the present invention have been shown and described herein, it will be obvious to those skilled in the art that such embodiments are provided by way of example only. Numerous modifications, changes, and substitutions will occur to those skilled in the art without departing from the spirit and scope of the present invention. It should be understood that various alternatives to the embodiments of the invention described herein may be employed in practicing the invention. It is intended that the following claims define the scope of the invention and that the module compositions, equivalents, or alternatives falling within the scope of these claims be covered thereby.
Claims (10)
1. An intelligent identification method for a shielded license plate vehicle, comprising:
acquiring a picture of a vehicle to be detected;
obtaining the residual license plate number and the vehicle type information of the vehicle to be detected according to the picture;
obtaining a candidate license plate number of the vehicle to be tested according to the residual license plate number;
and identifying the vehicle to be tested according to the vehicle type information and the candidate license plate number.
2. The intelligent identification method for an occluded license plate vehicle of claim 1, wherein the vehicle type information comprises the make and model of the vehicle.
3. The intelligent identification method for the occluded license plate vehicle of claim 1, wherein the identifying the vehicle to be tested according to the vehicle type information and the candidate license plate number comprises:
obtaining candidate vehicles according to the candidate license plate numbers;
and obtaining a vehicle corresponding to the vehicle type of the vehicle to be tested from the candidate vehicles, and taking the vehicle as the vehicle to be tested.
4. The intelligent identification method for the occluded license plate vehicle of claim 3, wherein the determining the license plate number of the vehicle to be tested according to the vehicle type information and the candidate license plate number further comprises: and obtaining the position of the candidate vehicle, screening the candidate vehicle according to the position of the candidate vehicle, and then obtaining the vehicle corresponding to the vehicle type of the vehicle to be tested from the screened candidate vehicles.
5. The intelligent identification method for the occluded license plate vehicle of claim 3, further comprising obtaining a license plate database, wherein the license plate database stores model information of vehicles corresponding to each license plate.
6. An intelligent identification system for a shielded license plate vehicle, comprising a processor and a memory, the memory storing a computer program, the processor implementing the following method when executing the computer program:
acquiring a picture of a vehicle to be detected;
obtaining the residual license plate number and the vehicle type information of the vehicle to be detected according to the picture;
obtaining a candidate license plate number of the vehicle to be tested according to the residual license plate number;
and identifying the vehicle to be tested according to the vehicle type information and the candidate license plate number.
7. The intelligent recognition system for an occluded license plate vehicle of claim 6, wherein the vehicle type information comprises the make and model of the vehicle.
8. The intelligent recognition system for an occluded license plate vehicle of claim 6, wherein the recognizing the vehicle under test according to vehicle type information and candidate license plate number comprises:
obtaining candidate vehicles according to the candidate license plate numbers;
and obtaining a vehicle corresponding to the vehicle type of the vehicle to be tested from the candidate vehicles, and taking the vehicle as the vehicle to be tested.
9. The intelligent recognition system for an occluded license plate vehicle of claim 8, wherein the determining the license plate number of the vehicle under test from the vehicle type information and the candidate license plate number further comprises: and obtaining the position of the candidate vehicle, screening the candidate vehicle according to the position of the candidate vehicle, and then obtaining the vehicle corresponding to the vehicle type of the vehicle to be tested from the screened candidate vehicles.
10. The intelligent identification system for occluded license plates of claim 8 further comprising a license plate database storing model information for each license plate corresponding vehicle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111591740.3A CN114187585A (en) | 2021-12-23 | 2021-12-23 | Intelligent identification method and system for shielded license plate vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111591740.3A CN114187585A (en) | 2021-12-23 | 2021-12-23 | Intelligent identification method and system for shielded license plate vehicle |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114187585A true CN114187585A (en) | 2022-03-15 |
Family
ID=80544809
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111591740.3A Pending CN114187585A (en) | 2021-12-23 | 2021-12-23 | Intelligent identification method and system for shielded license plate vehicle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114187585A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115171396A (en) * | 2022-07-05 | 2022-10-11 | 深圳市小猫信息技术有限公司 | Parking management method and system, intelligent barrier machine and storage medium |
-
2021
- 2021-12-23 CN CN202111591740.3A patent/CN114187585A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115171396A (en) * | 2022-07-05 | 2022-10-11 | 深圳市小猫信息技术有限公司 | Parking management method and system, intelligent barrier machine and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8509571B2 (en) | Pattern recognition apparatus, pattern recognition method, image processing apparatus, and image processing method | |
| CN108053653B (en) | Vehicle behavior prediction method and device based on LSTM | |
| CN109284801B (en) | Traffic indicator lamp state identification method and device, electronic equipment and storage medium | |
| CN110751012B (en) | Target detection evaluation method and device, electronic equipment and storage medium | |
| WO2016150593A1 (en) | Method for generating a digital record and roadside unit of a road toll system implementing the method | |
| CN109242006A (en) | The method and device of identification vehicle damage based on vehicle classification | |
| CN111369801B (en) | Vehicle identification method, device, equipment and storage medium | |
| CN112163348A (en) | Method and device for detecting road abnormal road surface, simulation method, vehicle and medium | |
| CN112580734A (en) | Target detection model training method, system, terminal device and storage medium | |
| CN114187585A (en) | Intelligent identification method and system for shielded license plate vehicle | |
| CN108319931A (en) | A kind of image processing method, device and terminal | |
| CN113888869B (en) | Fake plate slag car networking positioning method and system and cloud platform | |
| CN114627394A (en) | Muck vehicle fake plate identification method and system based on unmanned aerial vehicle | |
| WO2018066117A1 (en) | Road condition management program, road condition management device, and road condition management method | |
| JP6037791B2 (en) | Image recognition apparatus, image recognition method, program, and recording medium | |
| CN112818724A (en) | Method, device, equipment and storage medium for identifying non-programmed driving or non-programmed escort | |
| CN108629310B (en) | Engineering management supervision method and device | |
| JP2019505892A (en) | Method and apparatus for predicting road conditions based on big data | |
| CN111724607B (en) | Steering lamp use detection method and device, computer equipment and storage medium | |
| CN111369790B (en) | Vehicle passing record correction method, device, equipment and storage medium | |
| CN111860512A (en) | Vehicle identification method and device, electronic equipment and computer readable storage medium | |
| WO2018066118A1 (en) | Road condition management program, road condition management device, and road condition management method | |
| WO2018066116A1 (en) | Road condition management program, road condition management device, and road condition management method | |
| CN111191603B (en) | Method and device for identifying people in vehicle, terminal equipment and medium | |
| CN113095281A (en) | Fake-licensed vehicle identification method and device, electronic 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 |