Multi-channel network video stream license plate recognition method and system

A technology of network video and license plate recognition, which is applied in the field of license plate recognition, can solve problems such as being out of date, and achieve the effect of low cost, low hardware cost and simple installation

Active Publication Date: 2018-09-07
深圳市智绘科技有限公司
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

However, with the improvement of computer hardware capacity and operating speed, it has become possible to use complex algorithms or even deep learning algorithms to process images in real time, and complex algorithms often have better recognition performance and robustness. It is outdated to stick to the traditional license plate recognition algorithm

Method used

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  • Multi-channel network video stream license plate recognition method and system
  • Multi-channel network video stream license plate recognition method and system
  • Multi-channel network video stream license plate recognition method and system

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Experimental program
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Embodiment approach

[0036] As an implementation, the concurrent processing steps include:

[0037] Image processing sub-steps: maintaining an image queue to be processed, adding image frame data to the image queue to be processed, detecting and identifying the image frame data in the head of the image queue to be processed and deleting the image frame data at the head of the queue .

[0038] As an implementation, the concurrent processing steps include:

[0039] License plate detection sub-step: using a preset target detection algorithm to extract image features and predict image positions and category probability values, and detect the license plate image in the image frame data; wherein, the preset target detection algorithm is the target of YOLO-9000 Detection algorithm, and the following algorithm is used for dimensional clustering, and the candidate frame of the optimal size is selected:

[0040] Let the set of candidate boxes obtained by convolution be μ 1 ,μ 2 ,μ 3 …μ n ∈ R n ;

[...

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Abstract

Embodiments of the present invention disclose a multi-channel network video stream license plate recognition method and system. The license plate recognition method is applied to a monitoring system,and comprises: an acquisition and decoding step: collecting network video streams distributed by multiple IP cameras, and decoding the network video streams in real time; a concurrent processing step:using a multi-thread concurrent processing mode to sequentially perform license plate detection, character segmentation and character recognition on image frame data; and a display and analysis step:rendering and displaying the license plate number data and the image frame data in real time, receiving user interaction information at the same time to control the rendering and displaying, displaying, distributing, and collecting statistics of license plate number data, and saving the statistical results as log information. According to the embodiments of the present invention, the license plate image of the license plate area existing in the video is detected, and the deep learning technology is used to recognize the license plate image, so that the license plate number data in the video is obtained, the problems that the traditional method has poor tolerance and a slow speed are solved, and the technical scheme can be applied to the video stream information that the environment is complex and variable.

Description

technical field [0001] The invention relates to the technical field of license plate recognition, in particular to a multi-channel network video stream license plate recognition method and system. Background technique [0002] With the rapid development of my country's economy and the accelerated pace of people's life, automobiles have become an indispensable means of transportation. The rapid increase in the number of automobiles has brought many adverse effects on urban traffic conditions. Traffic congestion in large and medium-sized cities is becoming more and more serious. Traditional transportation technologies and means are no longer suitable for the requirements of economic and social development. The development of urban traffic planning requires new technical means. Intelligent transportation systems can effectively utilize existing transportation facilities, reduce traffic load and environmental pollution, ensure traffic safety, and improve transportation efficien...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34
CPCG06V20/40G06V30/153G06V20/625
Inventor 熊伟成张亮李学万
Owner 深圳市智绘科技有限公司
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