End-to-end vehicle frame number recognition system and identification method based on deep learning
A recognition system and deep learning technology, applied in the field of automatic identification system of vehicle chassis number, can solve the problems of low efficiency of manual identification of vehicle chassis number, achieve fast and efficient recognition process, high recognition accuracy rate, and solve the effect of low recognition efficiency
Active Publication Date: 2020-02-25
创新奇智(重庆)科技有限公司
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Problems solved by technology
At present, when vehicle dealers count vehicle inventory, they usually use the method of manually identifying and recording the vehicle chassis number to count the vehicle inventory. However, the work efficiency of manually identifying the vehicle chassis number is extremely low, so it is necessary to provide an automatic A system for identifying and extracting vehicle frame numbers to solve the above problems
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[0039] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and through specific implementation methods.
[0040] Wherein, the accompanying drawings are only for illustrative purposes, showing only schematic diagrams, rather than physical drawings, and should not be construed as limitations on this patent; in order to better illustrate the embodiments of the present invention, some parts of the accompanying drawings will be omitted, Enlargement or reduction does not represent the size of the actual product; for those skilled in the art, it is understandable that certain known structures and their descriptions in the drawings may be omitted.
[0041] In the drawings of the embodiments of the present invention, the same or similar symbols correspond to the same or similar components; , "inner", "outer" and other indicated orientations or positional relationships are based on the orientations or positional ...
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The invention discloses an end-to-end vehicle frame number recognition system based on deep learning, and the system comprises: an image input module which is used for inputting an image comprising awhole vehicle frame number character string; an image feature extraction module which is connected with the image input module and is used for extracting image features corresponding to the image to obtain a feature map corresponding to the image and converting the feature map into a corresponding feature vector; a character recognition module which is connected with the image feature extraction module and is used for processing the feature vector, performing corresponding character type identification on each vehicle frame number character in the vehicle frame number character string existingin the image, and finally, identifying and obtaining a character identification result of the vehicle frame number character string. According to the vehicle frame number character string recognitionsystem and method, automatic recognition of the vehicle frame number is achieved, the whole recognition process is rapid and efficient, the recognition accuracy is high, and the problems that a traditional manual recognition mode is low in recognition efficiency, and missing detection and wrong detection are prone to occurring are solved.
Description
technical field [0001] The present invention relates to an automatic identification system of vehicle frame number, in particular to an end-to-end vehicle frame number identification system and identification method based on deep learning. Background technique [0002] The VIN is the unique identification number of the vehicle. The frame number is usually formed by a combination of 17 numbers and letters. At present, when vehicle dealers count vehicle inventory, they usually use the method of manually identifying and recording the vehicle chassis number to count the vehicle inventory. However, the work efficiency of manually identifying the vehicle chassis number is extremely low, so it is necessary to provide an automatic A system for identifying and extracting vehicle frame numbers to solve the above problems. Contents of the invention [0003] The purpose of the present invention is to provide an end-to-end vehicle identification system based on deep learning to solve...
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IPC IPC(8): G06K9/34G06K9/46G06N3/04G06N3/08
CPCG06N3/08G06V30/153G06V10/462G06V30/10G06N3/045Y02T10/40
Inventor 张发恩范峻铭黄家水唐永亮
Owner 创新奇智(重庆)科技有限公司