Abstract: A system and method for license plate recognition is provided in the present disclosure. The method may include obtaining an image including a license plate mounted on a vehicle, and identifying at least one feature point associated with the vehicle. The method may also include determining an approximate angle range within which a tilt angle of the license plate is located based on the at least one feature point, and determining the tilt angle of the license plate within the approximate angle range. The method may further include performing a tilt correction on the license plate based on the tilt angle of the license plate.

Abstract: Disclosed are a truck load identification method, an electronic device and a storage medium. The truck load identification method includes: obtaining a to-be-identified image; in response to a truck being identified in the to-be-identified image, identifying a plurality of key points of a cargo area of the truck in the to-be-identified image; obtaining a cargo area map including only the cargo area based on the plurality of key points; obtaining a cargo attribute of the cargo area by identifying the cargo area map; and in response to determining that a current state of the truck is a preset state based on the cargo attribute of the cargo area, conducting a warning prompt. By virtue of the truck load identification method provided by the present disclosure, the identification accuracy may be improved.

Abstract: A system and method for license plate recognition is provided in the present disclosure. The method may include obtaining an image including a license plate mounted on a vehicle, and identifying at least one feature point associated with the vehicle. The method may also include determining an approximate angle range within which a tilt angle of the license plate is located based on the at least one feature point, and determining the tilt angle of the license plate within the approximate angle range. The method may further include performing a tilt correction on the license plate based on the tilt angle of the license plate.

Abstract: In an example, a method of processing image is provided. According to the method, an image may be divided into a plurality of sub-regions; binarization threshold may be calculated for each of the sub-regions; a threshold surface of the image may be fit out according to the binarization threshold of each of the sub-regions, wherein the threshold surface comprises a binarization threshold corresponding to each pixel point in the image; and the image may be binarized based on the threshold surface.