VEHICLE LICENSE PLATE CLASSIFICATION METHOD AND SYSTEM BASED ON DEEP LEARNING, ELECTRONIC APPARATUS, AND STORAGE MEDIUM

    公开(公告)号:EP3477550A1

    公开(公告)日:2019-05-01

    申请号:EP17803763.6

    申请日:2017-06-23

    IPC分类号: G06K9/62

    摘要: Disclosed are a method, a system, an electronic device, and a medium for classifying license plates based on deep learning that are applied to an electronic device. The method includes: acquiring at least one photograph sent by a terminal device; preprocessing the acquired at least one photograph such that the preprocessed at least one photograph matches input parameters of a pretrained recognition model; and inputting the preprocessed at least one photograph to the pretrained recognition model to recognize corresponding vehicle use information of the at least one photograph, and sending the corresponding vehicle use information of the at least one photograph to the terminal device. Thus, with this disclosure, the use of a vehicle in a photograph can be automatically and accurately recognized and further the photographs can be accurately classified, thereby improving the accuracy as well as the efficiency.

    VIDEO RECORDING METHOD, SERVER, SYSTEM, AND STORAGE MEDIUM

    公开(公告)号:EP3445044A1

    公开(公告)日:2019-02-20

    申请号:EP17781878.8

    申请日:2017-04-11

    IPC分类号: H04N5/76

    摘要: A video recording method is disclosed including: extracting every predetermined time period a first image captured by a monitoring camera; performing region detection on the first image to extract areas of interest covering some or all parts of a target object; performing motion area filtering on the areas of interest to select one or more target areas; dividing each target area into multiple sub-areas; extracting every predetermined time period a second image captured by the monitoring camera; comparing an image block located in each sub-area of the second image with that in the same sub-area of the second image previously extracted, to determine whether a motion event has occurred in each sub-area; and controlling the monitoring camera to start video recording from the currently extracted second image when a motion event has occurred in a sub-area. A server, system, and storage medium suitable for the method are also disclosed.

    AUTOMATIC EXTRACTION METHOD, DEVICE AND SYSTEM FOR DRIVING LICENCE EXPIRATION DATE, AND STORAGE MEDIUM

    公开(公告)号:EP3425563A1

    公开(公告)日:2019-01-09

    申请号:EP17759228.4

    申请日:2017-02-28

    IPC分类号: G06K9/20

    摘要: A method of automatically extracting a validity period of a driving license is disclosed. The method include: extracting candidate contour regions in an image file of a vehicle driving license and selecting from among the candidate contour regions at least one containing an annual inspection validity period; extracting character contours in each selected candidate contour region; acquiring a smallest circumscribed rectangle of each character contour, and dividing the acquired smallest circumscribed rectangles into individual single-character blocks; sorting these single-character blocks according to their positions in the contour region; recognizing a corresponding character of each single-character block; generating a character string representing the annual inspection validity period using the recognized characters based on the sorting; and extracting and taking time data in the character string as the annual inspection validity period of the contour region. A device, system and storage medium to which the method is applicable are also disclosed. By this application, the annual inspection validity period of a driving license can be automatically extracted.