License plate recognition charging system manufacturers from the current market point of view, because the Lancet license plate recognition system enables vehicles to enter and leave the parking lot, without parking card can be completed in and out and inbound car charges, speed up the vehicle traffic speed, eliminating the need for card management Work, while reducing the management personnel expenses, is widely used in major parking lots. However, license plate recognition can sometimes lead to wrong recognition. How to solve this problem and increase the recognition rate?
From the aspect of external factors, the factors influencing the license plate recognition rate mainly include viewpoint conversion, light, shielding, proportion, deformation and background complexity.
License plate recognition system is mainly used in the parking lot gate, vehicle detectors, high-definition license plate capture camera, electronic display, control center and other components. Through the HD license plate capture camera, the license plate of the import and export vehicle is captured, and before and after the picture is extracted to determine whether to release the vehicle. It can be seen that the license plate recognition parking system has a high requirement for the entire system, and the external environment also has a great influence on the recognition rate.
There are three main reasons that affect the recognition rate of the parking lot for the license plate recognition parking system.
First, we must ensure that the ambient light of the parking lot is bright enough. For dark lights or nighttime lighting, we must add some light-supplying equipment.
Second, to ensure that the license plate of vehicles entering and exiting the parking lot is intact, so that it is possible to ensure that the vehicle license plate for each entry and exit can be captured;
Third, to ensure that the license plate recognition position, the size of the license plate pixels, not less than the size of the best license plate pixels;
Therefore, optimizing the recognition environment, reducing the complexity of the environment, and slowing down the vehicle speed through auxiliary means can effectively improve the license plate recognition rate.
From the perspective of internal factors, the license plate recognition system is based on the license plate recognition algorithm, and the license plate recognition algorithm consists of space complexity and time complexity, and is divided into five different characteristics:
1. The input item is the specific license plate image;
2. The output item is the recognition result of the license plate;
3. The evolutionary nature of the finiteness or algorithm is limited, and it is impossible to have unlimited calculations.
4, the exact nature of the algorithm has more than one exact definition of each calculation step;
5. The feasibility is the effect of license plate recognition.
By optimizing the above five characteristics, fundamentally optimizing the license plate recognition algorithm is one of the most effective ways to improve the license plate recognition rate.
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