Qingdao License Plate Recognition System, Qingdao Parking System, Qingdao Gate System Solution

Qingdao license plate recognition System, Qingdao Parking System, Qingdao Gate System Solution

I. Analysis of User Demand


In modern parking lot management, it involves all aspects of management, in which vehicle management is an important aspect. Especially for special parking lots, courtyards, government agencies and residential districts,
It requires strict real-time management of all kinds of vehicles, strict monitoring of their entry and exit time, and registration and identification of all kinds of vehicles (including internal and external vehicles). For large-scale fields,
There are many kinds of vehicles in and out. For example, each vehicle needs to be judged manually, which is time-consuming and not conducive to management and inquiry. Security work is difficult and inefficient. In order to improve this and modern parking lot, courtyard and government organs,
The disproportionate management modes such as residential areas need to realize the automation and intellectualization of vehicle management as soon as possible, and manage them in the form of computer network, so as to effectively and accurately monitor and manage all the vehicles entering and exiting.
Require the system to provide appropriate application software to achieve high efficiency and intelligence of community management.


Qingdao License Plate Recognition (LPR) system is based on the automatic license plate recognition algorithm of video stream, or triggered by the sense of ground, to capture and identify the vehicle. When the vehicle enters the entrance of the community, the LPR algorithm automatically captures the photos of the vehicle and identifies the license plate number.
By transferring and recording the license plate number, color, license plate characteristic data, and admission time information, the vehicle can enter and leave the parking lot without obstacles, which provides a brand-new service mode for users.


The system automatically identifies the number and license plate characteristics of vehicles entering the residential area, verifies the legitimate identity of users, automatically compares the blacklist database, automatically alarms, and monitors and manages the whole parking lot, including access management.
Internal management, collection, storage of data and system working status, so that administrators can monitor, maintain, statistics, query and print reports. Vehicles in and out of the district are under the control of the system, making the district in and out.
Charging, anti-theft, fully intelligent parking space management, automation and has the advantages of convenient, fast, safe and reliable.

Its main characteristics are as follows:


The environment dependence of the recognition system is reduced to the lowest level, and the recognition rate can be maintained at a high level.

LPR-based recognition system improves the speed and accuracy of recognition.

Recognizable minimum plate width is 80 pixels and maximum 160 pixels

High recognition rate can be guaranteed by adapting to complex climate and illumination conditions, such as cloudy, rainy and evening.

To adapt to high speed and large traffic flow, high recognition rate (>98%) can still be guaranteed when the speed is 20 km/h and the single lane traffic volume is 30 vehicles/minute.

It realizes frame-by-frame processing of video image, triggers video stream, and avoids destroying road surface without burying ground inductance coil (double channel).

The project is easy to install, stable to operate, and does not interfere with users'existing systems.

It has a very high processing ability. It can recognize and process all the images in the process of vehicle traveling without depending on a single picture. It can effectively improve the adaptability of the equipment to complex environment.



1.1. Adaptability to Different Illumination



The complex environment in the engineering site, such as smoke, snow, sunlight illumination from different angles, car lights and large billboards, may interfere with the recognition system, especially the recognition equipment using external trigger mode.
The recognition rate depends heavily on the image captured. At the moment of capturing, the license plate is in the disturbed position, which will cause misrecognition.



In Qingdao license plate recognition, the algorithm processes the video image frame by frame in real time. In the process of vehicle movement, the angle and illumination are constantly changing. The license plate is always clear at some time, and some clear video of license plate will be collected.
Frames are used for analysis and recognition, so our license plate recognition equipment has strong anti-interference ability to light and climate.



1.2. Adaptability to Pass-through Vehicles and Ultra-Low Speed Vehicles



Because of the high-speed algorithm platform, which adapts to the speed of 20 km/h, the vehicle can accurately recognize the license plate number to snap pictures when driving at super-high speed (break through and rush trucks) or super-low speed.
It avoids the phenomena that can not be captured at the intersection of high-speed vehicles.



2. System structure and technical indicators?



2.1. System Workflow

Entry part

The explanation is as follows:


Vehicles reach the camera recognition area at the entrance of the community, automatically identify the vehicle license plate number, and make a judgment on the type of vehicle.

Internal vehicle: Auto-release/manual release is optional. Vehicle access information and picture storage database.

Temporary car: Auto-release/manual release is optional. Timing and saving entrance snapshot pictures to database.

Unable to confirm the vehicle: can be released manually, can enter the license plate number manually, manually modify the license plate number, record the database.



Export part

The explanation is as follows:



Vehicles reach the camera recognition area at the entrance of the community, automatically identify the vehicle license plate number, and make a judgment on the type of vehicle. Internal vehicle: Auto-release/manual release is optional. Vehicle access information and picture storage database.



Temporary car: Auto-release/manual release is optional. Timing and saving entrance snapshot pictures to database. If the fee is charged according to the standard of temporary car fee, manual release is generally chosen.

Unable to confirm the vehicle: manual release, manual input license plate number, record database, and generate the correct cost.



2.2. Installation Diagram of License Plate Recognition System


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