Sprayed character online visual detection method based on convolutional neural network

A technology of convolutional neural network and detection method, which is applied in the field of online visual detection of coded characters based on convolutional neural network, can solve problems such as easily distorted coded characters, easy to break, and chaotic characters, so as to meet real-time performance and improve The effect of generalization ability and high accuracy

Active Publication Date: 2014-07-16
WUXI XINJIE ELECTRICAL +1
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Problems solved by technology

At present, major manufacturers mostly use the coded characters on the bottom of cans to track product information, but it is inevitable that there will be defects such as missing characters, incomplete characters, and confusing characters during the coding process. Therefore, how to spray codes in real time Character recognition and detection, in order to remove unqualified products in time is an urgent problem to be solved
[0003] The current research on the online detection technology of inkjet characters mainly focuses ...

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  • Sprayed character online visual detection method based on convolutional neural network
  • Sprayed character online visual detection method based on convolutional neural network
  • Sprayed character online visual detection method based on convolutional neural network

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[0037] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0038] The invention is a method for detecting code sprayed characters at the bottom of a can. The detection process is divided into an offline training process and an online detection process. The overall flow chart of the offline training system is as follows figure 1 , The classifier is trained through the convolutional neural network during offline training, the training flowchart is as follows figure 2 , In the online detection process, the segmented single character is input into the classifier for learning, and the character information is output. The online detection flowchart is as image 3 .

[0039] Further, the specific implementation steps of the offline process are:

[0040] Step one, image sequence acquisiti...

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Abstract

The invention provides a sprayed character online visual detection method based on convolutional neural network. The sprayed character online visual detection method comprises the steps of dividing characters in an image under an offline status, classifying the characters, constructing a character repertoire, and performing training through an improved convolutional neural network learning method to form a stable classifier; shooting pictures, dividing the characters and classifying the characters in real time during online detection, and removing unqualified products. By means of the sprayed character online visual detection method, real-time performance is ensured while detection accuracy is improved greatly, and requirements for high real-time performance and accuracy of online detection process of the sprayed characters at bottoms of pop-top cans can be met.

Description

Technical field [0001] The invention relates to the field of on-line detection of the characters on the bottom of the can by using machine vision, in particular to an image processing method for the character recognition of the bottom of the can, which is applied to the industrial field and has high real-time requirements. Background technique [0002] With the rapid growth of my country's food and beverage industry, the demand for cans as containers is also increasing. The quality of cans often requires inspection and tracking of product information. At present, major manufacturers often use can bottom inkjet characters to track product information, but it is inevitable that there will be defects such as missing characters or partial incomplete characters and chaotic characters during the coding process. Therefore, how to print codes in real time Character recognition and detection to eliminate substandard products in time is an urgent problem to be solved. [0003] The current r...

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Application Information

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IPC IPC(8): G06K9/20G06K9/62
Inventor 白瑞林南阳吉峰李新
Owner WUXI XINJIE ELECTRICAL
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