How Does The License Plate Recognition System Process Image Imaging in Different Environments?

In recent years, the continuous increase in the number of private cars has also promoted the booming development of the parking industry. As the core technology of current intelligent parking lot, license plate recognition is the core of the entire parking lot system. The parking lot managed by the license plate recognition system has been popularized in all areas of our lives, so more advanced recognition technology will bring more convenience to people. However, due to the influence of the natural environment, the technology of license plate recognition will still be affected. Factors that identify imaging vary.

1. The brightness is not strong at night, and the light is not scattered

Under the influence of nighttime headlights, the license plate image may become a black and white situation. To solve this problem, intelligent fill light technology that relies on algorithms to control the fill light is usually used. Using dual wide dynamic at the same time, the license plate recognition camera can capture more bright and dark details on the same screen, which is closer to what the human eye sees.

2. The influence of weather

In rainy and foggy weather, the visibility is low, and the quality of the obtained license plate image will be seriously degraded. Therefore, the license plate recognition system must realize the image restoration function, that is, the image restoration algorithm is used to reproduce the scene of the degraded image in the rainy and foggy weather.

3. Vehicles travel in different directions

For the large angle formed by the operation of the vehicle, the license plate recognition system of some manufacturers is not ideal for this situation. This problem is particularly obvious in the parking lot with turns and wide entrances and exits. The control of height and angle can reduce the radian of large angles, but it cannot completely solve this problem. The Delida parking lot license plate recognition system effectively solves this problem.

4. Back to the light

For forward and backward light, the exposure parameters of the camera can be adjusted through intelligent light control technologies such as partial exposure and strong light suppression to achieve excellent automatic imaging control.