CN112053568B - Data error investigation cleaning method for binding of visitor and vehicle in smart park - Google Patents
Data error investigation cleaning method for binding of visitor and vehicle in smart park Download PDFInfo
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- CN112053568B CN112053568B CN202010946409.8A CN202010946409A CN112053568B CN 112053568 B CN112053568 B CN 112053568B CN 202010946409 A CN202010946409 A CN 202010946409A CN 112053568 B CN112053568 B CN 112053568B
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- 238000004140 cleaning Methods 0.000 title claims abstract description 27
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000011835 investigation Methods 0.000 title abstract description 8
- 239000000284 extract Substances 0.000 claims description 4
- 238000007781 pre-processing Methods 0.000 claims description 4
- 230000011218 segmentation Effects 0.000 claims description 3
- 238000000926 separation method Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/20—Individual registration on entry or exit involving the use of a pass
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/20—Individual registration on entry or exit involving the use of a pass
- G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention particularly relates to a data error investigation cleaning method for managing human-vehicle binding by visitors in an intelligent park. The data reconnaissance cleaning method for binding the visitor and the vehicle in the smart park comprises the steps of comparing and cleaning a vehicle license plate number manually input by a visitor system with a vehicle license plate number input and output record automatically identified by a license plate identification system, finding out a vehicle license plate number with an error manually input in the visitor system, correcting the vehicle license plate number with the error manually input, and binding the corrected vehicle license plate number with personnel information on the vehicle. This wisdom garden visitor management people's car binds data reconnaissance cleaning method, through the cleaning algorithm of the data reconnaissance of binding of garden visitor information and vehicle license plate number, guaranteed that vehicle license plate number and personnel's information's accuracy are bound, can avoid because of the vehicle that the people mistake input license plate number leads to and visitor's information binding mistake to further avoid the potential safety hazard to appear in the garden, improved garden safety control level.
Description
Technical Field
The invention relates to the technical field of data cleaning and security management, in particular to a data error investigation cleaning method for managing human-vehicle binding by visitors in an intelligent park.
Background
Along with the continuous development of the internet of things, more and more parks realize intelligent management, vehicles can enter and exit through a brake, and the management such as license plate registration and automatic release is realized through recognition. In particular, in a campus of some special industries, the safety requirement on the campus is high, for example, some government departments, public institutions, enterprises and the like have strict management on vehicles and personnel entering the campus, and strict registration management is required for entering and exiting the campus. Particularly, the license plate number of the vehicle is required to be bound to a person when the vehicle enters and exits the park, the person responsible for the vehicle can be tracked through the vehicle entering and exiting record, and the person responsible for the vehicle can be tracked when a safety event occurs.
At present, a visitor system registers personnel information and vehicle information, and the personnel information and the vehicle information are mainly input into the visitor system through a gate post security worker. The personnel information (identity card, name, photo, etc.) and the vehicle information on the vehicle are mainly manually input, the information accuracy cannot be guaranteed, and errors exist.
In order to eliminate potential safety hazards of the smart park, the invention provides a data error investigation cleaning method for managing the binding of people and vehicles by visitors of the smart park.
Disclosure of Invention
In order to make up for the defects of the prior art, the invention provides a simple and efficient data exploration and error cleaning method for managing the binding of people and vehicles by visitors in an intelligent park.
The invention is realized by the following technical scheme:
the utility model provides a data reconnaissance cleaning method that wisdom garden visitor management people and vehicles bound which characterized in that: the method comprises the steps of comparing and cleaning a vehicle license plate number manually input by a visitor system with a vehicle license plate number input and output record automatically recognized by a license plate recognition system, finding out a vehicle license plate number with an error manually input in the visitor system, correcting the vehicle license plate number with the error manually input in the visitor system according to the vehicle license plate number automatically recognized by the license plate recognition system, and binding the corrected vehicle license plate number with personnel information on a vehicle.
The License Plate Recognition system collects a Vehicle image based on a License Plate Recognition algorithm (VLPR for short), then establishes a License Plate positioning preprocessing model based on directed fractal parameters by applying a separation theory based on License Plate textures, extracts a License Plate area by combining a projection method, segments and recognizes characters in the License Plate area, and finally outputs the License Plate number of the Vehicle.
Through visitor's system manual registration visitor's personnel information and vehicle license plate number on the car to will bind the vehicle license plate number with visitor's personnel information on the car, realize that park safety control responsibility can track the people.
The data error investigation cleaning method for the intelligent park visitor management vehicle binding comprises the following steps:
firstly, a gate sentry inputs visitor personnel information and a license plate number through a visitor system, wherein the visitor personnel information comprises a name, a gender, an identity card number and a contact telephone;
secondly, the visitor vehicle enters the park through a brake, and the license plate recognition system automatically recognizes license plate numbers and records the log information of the vehicle entering and exiting;
thirdly, comparing the license plate number registered by the visitor system with the license plate number automatically identified and recorded by the license plate identification system, and if the license plate number can be matched with the license plate number, indicating that the license plate number manually input by the visitor system is accurate;
if the data cannot be matched, the data input manually is wrong, similarity comparison is carried out between the manually input vehicle license plate number and the vehicle license plate number automatically identified and recorded by the license plate identification system, and if the similarity reaches a threshold value Y, the matched license plate number in the log information is updated and replaced to the license plate number in the visitor system.
In the second step, the log information includes the number plate, the color of the vehicle, the time of the vehicle entering, the number plate photo and the type of the vehicle entering and exiting.
And in the third step, comparing the number plate of the vehicle entering the log information within the preset time T after the visitor system registers with the number plate of the vehicle registered by the visitor system.
The predetermined time T is 20 minutes.
And in the third step, when the license plate number registered by the visitor system is not matched with the license plate number automatically identified and recorded by the license plate identification system, similarity comparison is carried out, and if the similarity reaches 80%, the matched license plate number in the log information is updated and replaced to the license plate number in the visitor system.
And in the third step, if the similarity is lower than 80%, marking is carried out, and the personnel who are off-line and bound with the vehicle confirm and modify the license plate information of the vehicle by the gate guard personnel.
The invention has the beneficial effects that: this wisdom garden visitor management people's car binds data reconnaissance cleaning method, through the cleaning algorithm of the data reconnaissance of binding of garden visitor information and vehicle license plate number, guaranteed that vehicle license plate number and personnel's information's accuracy are bound, can avoid because of the vehicle that the people mistake input license plate number leads to and visitor's information binding mistake to further avoid the potential safety hazard to appear in the garden, improved garden safety control level.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the embodiment of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. 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.
The data error investigation cleaning method for binding of the visitor and the vehicle in the smart park comprises the steps of comparing and cleaning a vehicle license plate number manually input by a visitor system with a vehicle license plate number input-output record automatically recognized by a license plate recognition system, finding out a vehicle license plate number with an error manually input in the visitor system, correcting the vehicle license plate number with the error manually input in the visitor system according to the vehicle license plate number automatically recognized by the license plate recognition system, and binding the corrected vehicle license plate number with personnel information on the vehicle.
The License Plate Recognition system collects a Vehicle image based on a License Plate Recognition algorithm (VLPR for short), then establishes a License Plate positioning preprocessing model based on directed fractal parameters by applying a separation theory based on License Plate textures, extracts a License Plate area by combining a projection method, segments and recognizes characters in the License Plate area, and finally outputs the License Plate number of the Vehicle.
The license plate recognition algorithm VLPR is a special computer vision system taking a specific target as an object, can automatically extract a license plate image from an image, automatically segment characters and further recognize the characters, and utilizes advanced image processing, mode recognition and artificial intelligence technologies to process acquired image information, so that the numbers, letters and Chinese characters of the license plate can be accurately and automatically recognized in real time, and a recognition result is directly given, so that computerized monitoring and management of a vehicle become reality.
The working principle of license plate recognition is as follows:
vehicle detection: the vehicle can be sensed in various ways such as buried coil detection, infrared detection, radar detection technology, video detection and the like, and image acquisition snapshot is triggered.
Image acquisition: the passing vehicles are recorded and collected in real time and uninterruptedly through the high-definition camera shooting host.
Pretreatment: noise filtering, automatic white balancing, automatic exposure and gamma correction, edge enhancement, contrast adjustment, etc.
And (3) license plate positioning: and performing row-column scanning on the gray level image after image preprocessing to determine a license plate area.
Character segmentation: after a license plate region is positioned in an image, a character region is accurately positioned through processing such as graying, binarization and the like, and then character segmentation is carried out according to character size characteristics.
Character recognition: and zooming and feature extraction are carried out on the segmented characters, and matching judgment is carried out on the segmented characters and a standard character expression form in a character database template.
And (4) outputting a result: and outputting the license plate recognition result in a text format.
Through visitor's system manual registration visitor's personnel information and vehicle license plate number on the car to will bind the vehicle license plate number with visitor's personnel information on the car, realize that park safety control responsibility can track the people.
The data error investigation cleaning method for the intelligent park visitor management vehicle binding comprises the following steps:
firstly, a gate sentry inputs visitor personnel information and a license plate number through a visitor system, wherein the visitor personnel information comprises a name, a gender, an identity card number and a contact telephone;
secondly, the visitor vehicle enters the park through a brake, and the license plate recognition system automatically recognizes license plate numbers and records the log information of the vehicle entering and exiting;
thirdly, comparing the license plate number registered by the visitor system with the license plate number automatically identified and recorded by the license plate identification system, and if the license plate number can be matched with the license plate number, indicating that the license plate number manually input by the visitor system is accurate;
if the data cannot be matched, the data input manually is wrong, similarity comparison is carried out between the manually input vehicle license plate number and the vehicle license plate number automatically identified and recorded by the license plate identification system, and if the similarity reaches a threshold value Y, the matched license plate number in the log information is updated and replaced to the license plate number in the visitor system.
In the second step, the log information includes the number plate, the color of the vehicle, the time of the vehicle entering, the number plate photo and the type of the vehicle entering and exiting.
And in the third step, comparing the number plate of the vehicle entering the log information within the preset time T after the visitor system registers with the number plate of the vehicle registered by the visitor system.
The preset time T is set by a user, and the shorter the preset time is, the higher the accuracy is. For example, the predetermined time T may be set to 5 minutes, 10 minutes, 15 minutes, 20 minutes, or the like.
And in the third step, when the license plate number registered by the visitor system is not matched with the license plate number automatically identified and recorded by the license plate identification system, similarity comparison is carried out, and if the similarity reaches 80%, the matched license plate number in the log information is updated and replaced to the license plate number in the visitor system.
And in the third step, if the similarity is lower than 80%, marking is carried out, and the personnel who are off-line and bound with the vehicle confirm and modify the license plate information of the vehicle by the gate guard personnel.
Compared with the prior art, the data reconnaissance cleaning method for binding the visitor and the vehicle in the smart park has the following characteristics:
firstly, the practicability is strong, the application effect is obvious, and the security management level of a park can be obviously improved;
secondly, through the cleaning algorithm of the binding data error of park visitor information and vehicle license plate number, the accurate binding of the vehicle license plate number and personnel information is guaranteed, the binding error of the vehicle and visitor personnel information caused by manual error input of the license plate number is avoided, and therefore potential safety hazards in the park are further avoided.
The above-described embodiment is only one specific embodiment of the present invention, and general changes and substitutions by those skilled in the art within the technical scope of the present invention are included in the protection scope of the present invention.
Claims (5)
1. The utility model provides a data reconnaissance cleaning method that wisdom garden visitor management people and vehicles bound which characterized in that: firstly, comparing and cleaning a vehicle license plate number manually input by a visitor system with a vehicle license plate number input-output record automatically recognized by a license plate recognition system, finding out a vehicle license plate number with an error manually input in the visitor system, then correcting the vehicle license plate number with the error manually input in the visitor system according to the vehicle license plate number automatically recognized by the license plate recognition system, and finally binding the corrected vehicle license plate number with personnel information on the vehicle;
the license plate recognition system collects a vehicle image based on a license plate recognition algorithm, then establishes a license plate positioning preprocessing model based on directed fractal parameters by applying a separation theory based on license plate textures, extracts a license plate area by combining a projection method, then performs segmentation and recognition on characters in the license plate area, and finally outputs a vehicle license plate number;
the visitor system is used for manually registering visitor personnel information and a vehicle license plate number on the vehicle, and the vehicle license plate number is bound with the visitor personnel information on the vehicle, so that people can be tracked by park safety management responsibilities;
the method comprises the following steps:
firstly, a gate sentry inputs visitor personnel information and a license plate number through a visitor system, wherein the visitor personnel information comprises a name, a gender, an identity card number and a contact telephone;
secondly, the visitor vehicle enters the park through a brake, and the license plate recognition system automatically recognizes license plate numbers and records the log information of the vehicle entering and exiting;
thirdly, comparing the number plate number of the vehicle entering the log information within the preset time T after the registration of the visitor system with the number plate number of the vehicle registered by the visitor system, and if the number plate number of the vehicle entering the log information can be matched with the number plate number of the vehicle registered by the visitor system, indicating that the number plate number of the vehicle manually input by the visitor system is accurate;
if the matching fails, the fact that the vehicle license plate number manually input in the visitor system is wrong is shown, similarity comparison is conducted between the manually input vehicle license plate number and the vehicle license plate number automatically identified and recorded by the license plate identification system, and if the similarity reaches a threshold value Y, the matched vehicle license plate number in the log information is updated and replaced to the vehicle license plate number in the visitor system.
2. The smart park visitor management vehicle-bound data reconnaissance cleaning method as claimed in claim 1, wherein: in the second step, the log information includes the number plate, the color of the vehicle, the time of the vehicle entering, the number plate photo and the type of the vehicle entering and exiting.
3. The smart park visitor management vehicle-bound data reconnaissance cleaning method as claimed in claim 1, wherein: the predetermined time T is 20 minutes.
4. The smart park visitor management vehicle-bound data reconnaissance cleaning method as claimed in claim 1, wherein: and in the third step, when the license plate number registered by the visitor system is not matched with the license plate number automatically identified and recorded by the license plate identification system, similarity comparison is carried out, and if the similarity reaches 80%, the matched license plate number in the log information is updated and replaced to the license plate number in the visitor system.
5. The intelligent park visitor management vehicle-bound data exploration error cleaning method as claimed in claim 4, wherein the method comprises the following steps: and in the third step, if the similarity is lower than 80%, marking is carried out, and the personnel who are off-line and bound with the vehicle confirm and modify the license plate information of the vehicle by the gate guard personnel.
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| CN202010946409.8A CN112053568B (en) | 2020-09-10 | 2020-09-10 | Data error investigation cleaning method for binding of visitor and vehicle in smart park |
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| CN202010946409.8A CN112053568B (en) | 2020-09-10 | 2020-09-10 | Data error investigation cleaning method for binding of visitor and vehicle in smart park |
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| CN101763079A (en) * | 2009-09-15 | 2010-06-30 | 西安中兴精诚通讯有限公司 | Comprehensive metering control system for coaler of coal mine |
| KR101400765B1 (en) * | 2013-08-08 | 2014-05-29 | 에이제이파크 주식회사 | Parking management system using voice recognition |
| CN104751525A (en) * | 2015-04-13 | 2015-07-01 | 张忠义 | Parking charging method capable of reducing license plate recognition manual recheck workload |
| CN105405296B (en) * | 2015-12-11 | 2017-12-01 | 苏州翊高科技有限公司 | Wagon control disengaging system and method based on Car license recognition |
| US10360744B1 (en) * | 2016-11-17 | 2019-07-23 | Alarm.Com Incorporated | Verified access to a monitored property |
| CN107728912B (en) * | 2016-12-19 | 2020-06-05 | 西安艾润物联网技术服务有限责任公司 | Method and device for auxiliary input of vehicle license plate number |
| DE102017200432B4 (en) * | 2017-01-12 | 2022-08-18 | Audi Ag | Method for operating a security system for a motor vehicle and security system |
| CN206877413U (en) * | 2017-06-07 | 2018-01-12 | 宁波柯力传感科技股份有限公司 | Self-help card-distributing terminal device |
| CN108335396A (en) * | 2018-04-15 | 2018-07-27 | 珠海市华清创新科技有限公司 | A kind of artificial intelligence visitor management system with Car license recognition |
| CN110930566A (en) * | 2019-11-20 | 2020-03-27 | 杭州四方博瑞科技股份有限公司 | Safe rechecking method, system and device for vehicles to and from prisons and storable medium |
| CN111340999A (en) * | 2020-03-02 | 2020-06-26 | 安徽理工大学 | Motor vehicle access control management method based on radio frequency identification under Internet of things environment |
| CN111292451A (en) * | 2020-03-13 | 2020-06-16 | 陕西金合信息科技股份有限公司 | Man and vehicle access management system and method |
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