The license plate recognition system is usually used in intelligent parking lots and vehicle intersections. It is an important means to identify vehicle information. Today, we will talk about some common problems and corresponding solutions of the license plate recognition system.
Environmental factors are the main factors affecting license plate recognition. Under different ambient light, capturing and capturing vehicle images will be affected to a certain extent. The light is sufficient during the day, and the light is weak at night. That is, when the speed of the vehicle is too fast, the video quality of dynamic images cannot be guaranteed.
So, how should we solve these problems and improve the clarity of license plate recognition?
First of all, we can add intelligent fill light to effectively solve the problem of insufficient light, and the camera can also capture clear images; secondly, the image can be preprocessed. Because the image recognized by the license plate has more noise or the license plate is blocked, the vehicle is running. The resulting image is blurred and distorted, so it is difficult to implement the positioning algorithm. If the algorithm can adapt to various complex environments and special conditions, it can greatly improve the license plate recognition rate.