CN111508091A - Method for quickly searching vehicle information based on ETC vehicle departure - Google Patents
Method for quickly searching vehicle information based on ETC vehicle departure Download PDFInfo
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- CN111508091A CN111508091A CN201910285558.1A CN201910285558A CN111508091A CN 111508091 A CN111508091 A CN 111508091A CN 201910285558 A CN201910285558 A CN 201910285558A CN 111508091 A CN111508091 A CN 111508091A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/06—Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- 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
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Signal Processing (AREA)
- Business, Economics & Management (AREA)
- Finance (AREA)
- Devices For Checking Fares Or Tickets At Control Points (AREA)
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Abstract
The invention relates to a method for quickly searching for vehicle license plate recognition errors when ETC vehicles leave a parking lot. When the license plate identification of the entrance and exit is inconsistent, vehicles without the field can be rapidly filtered and found out according to the ETC data and the camera identification data obtained from the entrance and exit, and the pressure of toll collectors in the sentry box is reduced.
Description
Technical Field
The invention relates to the field of intelligent transportation, in particular to a method for quickly searching vehicle information based on the departure of ETC vehicles, and belongs to the field of intelligent parking lots.
Background
Along with the gradual increase of automobile holding amount in China, parking space gaps are continuously enlarged, and the defects that a traditional parking lot system is not intelligent and convenient enough exist, the equipment which is installed quickly and is low in price and a license plate recognition system are urgently needed to be searched. In recent years, the license plate recognition system is rapidly developed in the traffic field, the recognition accuracy rate is greatly improved, and the camera is widely applied to the field of parking lots due to the advantages of low price, convenience in installation and the like, so that the traditional card parking mode is rapidly impacted, and the license plate recognition system is very popular at present.
The license plate recognition technology is an automatic license plate recognition technology based on image processing and Optical Character Recognition (OCR), and mainly adopts the idea of 'different license plates of different vehicles' to recognize the vehicles. When a vehicle enters a parking lot, the system automatically records data such as a vehicle photo, a license plate number, entrance time and the like by using a license plate recognition camera; when the vehicle leaves the parking lot, the system utilizes the license plate recognition camera to automatically record data such as a vehicle photo, a license plate number, leaving time and the like, and matches the data with the entering data to calculate the payment condition of the parking fee. However, when the camera identifies the license plate, the current license plate identification algorithm cannot achieve 100% accuracy due to the influence of objective factors such as illumination, the cleanliness of the license plate, rainy and snowy weather, vehicle queuing and the like, and the identification rate can be reduced under the conditions of intentional shielding, fouling and the like of the license plate. The method has the advantages that the identification of the part of the vehicles with the license plates is wrong, even the vehicles without the license plates are identified, once the identification of the part of the vehicles with the license plates is wrong at an entrance or an exit, the vehicles with the license plates cannot be accurately matched, the toll collector can search the accurate vehicles in all the vehicles in the field, if the traffic flow is thousands or even tens of thousands of large commercial parking lots, great examination can be brought to the toll collector, and accordingly, a technology capable of quickly finding out the vehicles without the license plates is urgently needed.
Disclosure of Invention
The invention aims to solve the problem of license plate identification in the prior art, and designs a method for quickly and accurately identifying ETC vehicles on the spot. Therefore, through searching the OBU and analyzing the acquired license plate number image, two-vehicle cross comparison verification is carried out on two groups of data of the vehicle entering and exiting, when the two groups of data are within the threshold range, the vehicle entering and exiting is confirmed to be a vehicle corresponding to the vehicle entering and the license plate recognition technology can be used for recognizing the vehicle when the ETC device is detached or the ETC vehicle enters the vehicle due to some reason. Simultaneously to the dual acquisition of the OBU information of the admission and license plate number information of acquireing, can discern the car with again, prevent with the car. Therefore, fee calculation operation is completed, the accuracy of license plate recognition is improved, and meanwhile fee calculation experience of a user is improved. The method mainly comprises the following steps:
1) the camera module successfully acquires the vehicle information, and then the next step is carried out, otherwise, the camera module continues to wait for the license plate information to be pushed by the camera module;
2) the ETC module successfully acquires the vehicle information, the next step is carried out, otherwise, the ETC module continues to wait for the license plate information to be pushed, and if the information is not received within 1000ms, the OBU is considered to be absent, and the next step is carried out.
3) If the OBU does not exist, the license plate recognition result is used as an entrance and exit certificate, if the OBU exists, the license plate in the OBU is aligned and matched with the license plate obtained from the license plate recognition result, if the license plates are not completely consistent and are within an error range set by a lane controller, the license plate searched by the RSU is used for automatically correcting the license plate recognized by the camera, and if the license plate is judged to be suspected to follow the vehicle, the vehicle passes through according to the license plate recognition result;
4) when a vehicle enters a field, a license plate is identified and/or a vehicle with ETC is opened when the license plate is identified; when the vehicle leaves, the first result of the leaving camera is matched with the first result of the entering, then the first result of the leaving is matched with the second result of the entering, then the second result of the leaving is matched with the first result of the entering, and finally the second result of the leaving is matched with the second result of the entering, and the four matching sequences are exited as long as any one of the four matching sequences is matched correctly, so that the fare calculation process is performed.
According to the identification method, if 1000 vehicles exist in the field, the field records cannot be found in all four matching sequences, vehicles entering the field in an ETC mode are filtered (ETC entering accounts for 50%), 500 vehicles are remained, two license plate numbers of entering cameras are compared, vehicles with consistent license plates are filtered (the license plate consistency rate of camera identification is 98%), only 10 vehicles are remained, and the 10 vehicles are sequentially ranked according to the highest similarity. After the filtering by the method, the workload of the toll collector of the sentry box is greatly reduced, originally, vehicles with wrong identification need to be searched in 1000 vehicles, and now only 10 vehicles need to be searched, and the searching workload is only 1% of the original searching workload.
Specifically, the process of acquiring the vehicle information by the camera module comprises the following steps:
1) after the vehicle presses the ground feel, the lane control machine gives an identification signal to the camera;
the camera pushes vehicle information such as license plate numbers, picture paths and the like to the lane control machine;
when the camera pushes no license plate information to the lane control machine, a recognition signal is continuously given to the camera;
when the camera pushes the license plate information to the lane control machine, the lane control machine judges whether the vehicle is a blacklist, if the vehicle is the blacklist, the process is quitted, and if the vehicle is not the blacklist, the license plate is stored for the next step;
and sending a signal to the camera again, starting a license plate identification process by the camera to obtain second license plate identification data, wherein the second license plate identification data does not participate in a logic judgment basis of switching off when the vehicle enters the field, and only after the system is switched off, uploading the second license plate identification data, the first license plate identification data and the ETC data to the server together.
The specific identification process comprises the steps of vehicle detection, image acquisition, preprocessing, license plate positioning, character segmentation, character identification and result output, and information such as license plate numbers, license plate colors and the like of vehicles can be obtained within 300ms, so that first license plate identification data is obtained.
The flow of the ETC module for acquiring the vehicle information comprises the following steps:
1) the ETC module reads system information of the module;
2) the lane control machine verifies the disassembly marker bit of the OBU, if the OBU is disassembled, the process is quitted, and if the OBU is not disassembled, the next step is carried out;
the lane control machine judges whether the vehicle is a blacklist, if the vehicle is the blacklist, the process is exited, and if the vehicle is not the blacklist, the license plate is stored for the next step;
the lane control machine judges whether the license plate number of the ESAM in the OBU of the vehicle is consistent with the card license plate number, if not, the process is quitted, and if so, the data is kept for the next step;
when the license plate recognition result is partially recognized wrongly due to some reason and the OBU is searched, the license plate numbers obtained by the two are aligned and matched, the license plate recognized by the camera is automatically corrected by the license plate searched by the RSU within the matching error set by the program, otherwise, the license plate is judged to be suspected to follow the vehicle, and the vehicle passes through according to the license plate recognition result. This enables identification data to be obtained for vehicles following the car in practice, preventing missing vehicles. Wherein the error can make the set error range operate 2 bit wrong. For example, the label license plate number character part 12345, the camera is identified as 12356, and the camera license plate is corrected by using the label license plate if the alignment matching of the two parts is in accordance with the error within 2 bits; if the camera is identified as 12456, the alignment is matched by three bits, and the error range is exceeded, the car is suspected to be followed.
The invention has the beneficial effects that: on the one hand, when the vehicle is identified with the OBU information, the vehicle can be guaranteed to be mutually verified with the license plate information, the vehicle information is guaranteed to be accurate, and the vehicle can be prevented from following the vehicle through the license plate identification guarantee, on the other hand, the vehicle can be rapidly inquired when the vehicle is going out or in the field, two vehicle cross-over comparisons can be conducted through respective two identification data of the vehicle, the vehicle can be rapidly identified, and the fee can be rapidly calculated.
Drawings
FIG. 1 is a flow chart of a system for rapidly finding and calculating a fee for a vehicle when the vehicle is present.
Fig. 2 is a flow chart of the camera module acquiring vehicle information.
Fig. 3 is a flowchart of the ETC module acquiring vehicle information.
Detailed Description
Embodiment one install OBU vehicle and go out underground garage sentry box export condition
When the vehicle enters the field, the following steps are carried out:
1) the camera module successfully acquires the vehicle information;
2) the ETC module successfully acquires the vehicle information;
3) the license plate in the OBU is aligned and matched with the license plate obtained from the license plate recognition result, the license plates are not completely consistent, but the license plate searched by the RSU is automatically corrected within the error range set by the lane controller;
4) and (5) opening the gate.
When the vehicle leaves, the first result of the leaving camera is matched with the first result of the entering, the first result of the leaving is matched with the second result of the entering, the second result of the leaving is matched with the first result of the entering, the second result of the leaving is matched with the second result of the entering, the fourth result of the leaving is matched with the second result of the entering, the vehicle exits as long as one of the four results of the matching is correct, the fee calculation process is carried out, and then the vehicle leaves by opening the gate.
Example two OBU disassembled vehicle out of the shop floor parking area conditions
The vehicle arrives at the hotel at 10 am, travels to the entrance of the sentry box, and performs the following operations:
1) the camera module successfully acquires the vehicle information;
2) no information is received within 1000 ms;
3) taking the license plate recognition result as an entrance and exit certificate;
4) and (5) opening the gate.
When the vehicle leaves the vehicle at 3 pm, the first result of the leaving camera is matched with the first result of entering the vehicle, then the first result of leaving the vehicle is matched with the second result of entering the vehicle, the two-time matching is not correct, then the vehicle leaves the vehicle after the second result of leaving the vehicle is matched with the first result of entering the vehicle correctly, and the vehicle stops for 5 hours and the cost is calculated by the lane controller.
Example III situation of a following vehicle in an underground two-storey parking lot of a certain conference center
When the front vehicle with the OBU enters the field, the following steps are carried out:
1) the camera module successfully acquires the vehicle information;
2) the ETC module successfully acquires the vehicle information;
3) aligning and matching license plates in the OBU with license plates obtained by license plate recognition results successfully; and opening the gate and releasing the gate.
At this time the following vehicle is following the evasive check,
and at the moment, the vehicle is subjected to the steps 1) and 2), the license plate in the OBU and the license plate obtained by the license plate recognition result are aligned and matched, the license plates are completely inconsistent, and are suspected to follow the vehicle, the driver is forced to brake and stop when the rear vehicle intends to continue to move forwards, at the moment, the brake is opened again, the rear vehicle starts to normally pass again, but the lane control machine takes the license plate information of the rear vehicle as an entrance certificate.
When the car is leaving the vehicle, the first result of the leaving camera is matched with the first result of entering the vehicle, the vehicle exits after the result is matched correctly, and the fare calculation process is carried out.
Fourth embodiment in case of a dark vehicle at the entrance of a hospital with passengers entering an underground garage
1) After the vehicle presses the ground feel, the lane control machine gives an identification signal to the camera;
the camera pushes vehicle information such as license plate numbers, picture paths and the like to the lane control machine;
3) the camera pushes the license plate information to the lane control machine, the lane control machine judges whether the vehicle is blacklisted, and if the result is blacklisted, the vehicle exits the process and is not switched on.
As can be seen from the above four embodiments, the method of the present invention can identify vehicles with license plates and complete fee calculation, and successfully prevent the following and strict entry of black vehicles. Therefore, each vehicle entering and leaving the place is not checked, the safety of the place is guaranteed, and the calculation cost is implemented. The entrance and exit fields are used for two times of recognition, so that the possibility that errors are possibly generated by only one time of recognition is avoided, and the recognition accuracy is improved.
Claims (5)
1. A method for quickly searching vehicle information based on the departure of ETC vehicles is characterized by comprising the following steps:
1) the camera module successfully acquires the vehicle information, and then the next step is carried out, otherwise, the camera module continues to wait for the license plate information to be pushed by the camera module;
2) the ETC module successfully acquires the vehicle information, the next step is carried out, otherwise, the ETC module continues to wait for pushing license plate information, and if the information is not received within 1000ms, the OBU is considered to be not available, and the step 3) is carried out;
3) if the OBU does not exist, the license plate recognition result is used as an entrance and exit certificate, if the OBU exists, the license plate in the OBU is aligned and matched with the license plate obtained from the license plate recognition result, if the license plates are not completely consistent and are within an error range set by a lane controller, the license plate searched by the RSU is used for automatically correcting the license plate recognized by the camera, and if the license plate is judged to be suspected to follow the vehicle, the vehicle passes through according to the license plate recognition result;
4) when a vehicle enters a field, a license plate is identified and/or a vehicle with ETC is opened when the license plate is identified; when the vehicle leaves, the vehicle information of the entering and leaving is used for matching, and if the matching is correct, the vehicle exits, and the fee calculation process is carried out.
2. The method of claim 1, wherein the camera module obtaining vehicle information flow comprises the steps of:
1) after the vehicle presses the ground feel, the lane control machine gives an identification signal to the camera;
the camera pushes vehicle information such as license plate numbers, picture paths and the like to the lane control machine;
when the camera pushes no license plate information to the lane control machine, a recognition signal is continuously given to the camera;
when the camera pushes the license plate information to the lane control machine, the lane control machine judges whether the vehicle is a blacklist, if the vehicle is the blacklist, the process is quitted, and if the vehicle is not the blacklist, the license plate is stored for the next step;
and sending a signal to the camera again, starting a license plate identification process by the camera to obtain second license plate identification data, wherein the second license plate identification data does not participate in a logic judgment basis of switching off when the vehicle enters the field, and only after the system is switched off, uploading the second license plate identification data, the first license plate identification data and the ETC data to the server together.
3. The method of claim 2, wherein the data is uploaded to the server along with the first license plate identification data and the ETC data.
The license plate identification process is a process comprising vehicle detection, image acquisition, preprocessing, license plate positioning, character segmentation, character identification and result output, and license plate numbers and license plate color information of vehicles can be obtained within 300ms, so that license plate identification data can be obtained.
4. The method according to any one of claims 1 to 3, wherein the ETC module obtaining vehicle information flow comprises the steps of:
1) the ETC module reads system information of the module;
2) the lane control machine verifies the disassembly marker bit of the OBU, if the OBU is disassembled, the process is quitted, and if the OBU is not disassembled, the next step is carried out;
the lane control machine judges whether the vehicle is a blacklist, if the vehicle is the blacklist, the process is exited, and if the vehicle is not the blacklist, the license plate is stored for the next step;
and the lane control machine judges whether the license plate number of the ESAM in the OBU of the vehicle is consistent with the card license plate number, if not, the process is quitted, and if so, the data is kept for the next step.
5. The method of claim 4, wherein matching using the vehicle information of the incoming and outgoing vehicles is performed by matching a first result of the outgoing camera with a first result of the incoming, then matching the first result of the outgoing with a second result of the incoming, then matching the second result of the outgoing with the first result of the incoming, and finally matching the second result of the outgoing with the second result of the incoming, and exiting the matching sequence as long as any one of the matching sequences is correct.
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Cited By (5)
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| CN111899358A (en) * | 2020-07-03 | 2020-11-06 | 西安艾润物联网技术服务有限责任公司 | ETC-based vehicle identification recognition method and device |
| CN113591837A (en) * | 2021-06-19 | 2021-11-02 | 特瓦特能源科技有限公司 | License plate recognition management method and related equipment |
| CN113903175A (en) * | 2021-09-29 | 2022-01-07 | 深圳市捷顺科技实业股份有限公司 | Tail board filtering and vehicle meeting processing method under common channel mode and related device |
| CN113920747A (en) * | 2021-09-29 | 2022-01-11 | 深圳市捷顺科技实业股份有限公司 | Method for improving license plate recognition rate and related device |
| TWI795875B (en) * | 2021-08-19 | 2023-03-11 | 中華電信股份有限公司 | System and method for grouping results of asynchronous identification of car feature information |
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Application publication date: 20200807 |