The license plate recognition system has developed into […]
The license plate recognition system has developed into a climax in the market. Its appearance has not only accelerated the speed of vehicle traffic, but also saved a lot of time. When the license plate recognition system also has problems, how to improve and solve this problem?
From the perspective of internal factors, the basis of the license plate recognition system is the license plate recognition algorithm, and the license plate recognition algorithm is composed of space complexity and time complexity, and is divided into five different characteristics:
1. Finiteness means that the evolution of the algorithm is limited, and unlimited calculations are impossible;
2. Accuracy means that each calculation step of the algorithm has a precise definition;
3. The input item is the specific license plate image;
4. The output item is the recognition result of the license plate;
5. Feasibility is the effect of license plate recognition.
By optimizing the above five characteristics, fundamentally optimizing the license plate recognition algorithm is a method to improve the rate of license plate recognition.
From the perspective of external factors, the main factors affecting the recognition rate of the license plate are viewpoint change, light, occlusion, proportion, deformation, and complex background.
The license plate recognition system used in the parking lot mainly consists of barriers, vehicle detectors, high-definition license plate capture cameras, electronic display screens, and control centers. Use the high-definition license plate capture camera to capture the license plates of import and export vehicles, extract the comparison of the before and after pictures, and determine whether to release the vehicle. It can be seen that the license plate recognition system has high requirements on the entire system, and the external environment will also have a great influence on the recognition rate.
For parking lots with license plate recognition parking lot systems, there are two main reasons that affect the recognition rate:
First, it is necessary to ensure that the ambient light of the parking lot is sufficiently bright, and when the light is dark or at night, some supplementary lighting equipment should be appropriately added;
Second, ensure that the license plates of vehicles entering and leaving the parking lot are intact, so that you can ensure that the license plates of each vehicle entering and leaving the parking lot can be captured.
Therefore, avoiding the complexity of the recognition environment and slowing down the vehicle speed through auxiliary means can effectively improve the license plate recognition rate.