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Keyboard character defect online detection system based on computer vision and keyboard character defect online detection method thereof

A technology of computer vision and detection method, which is applied in computer parts, character and pattern recognition, calculation, etc., can solve the problems of high cost, false detection, slow manual detection speed, etc., and achieve the effect of real-time guarantee and accuracy improvement

Active Publication Date: 2017-04-19
SHANGHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the past, printing companies relied on workers to complete the quality inspection and control of products. An experienced skilled worker is an inspection system, but manual inspection cannot guarantee stable quality, and false inspections and missed inspections often occur. The detection speed is too slow, the cost is too high, and the detection standards are different

Method used

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  • Keyboard character defect online detection system based on computer vision and keyboard character defect online detection method thereof
  • Keyboard character defect online detection system based on computer vision and keyboard character defect online detection method thereof
  • Keyboard character defect online detection system based on computer vision and keyboard character defect online detection method thereof

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Effect test

Embodiment 1

[0055] see figure 1, an online keyboard character defect detection system based on computer vision, comprising an industrial camera (1), a computer (2), a single-chip microcomputer system (3), a frequency converter (4), a motor (5) and a conveyor belt (6), characterized in that: Described industrial camera (1) shoots at the keyboard (7) on the conveyor belt (6), and its output is connected to computer (2), and computer (2) connects single-chip microcomputer system (3), and the output of single-chip microcomputer (3) is through frequency conversion The device (4) is connected to the motor (5), and the motor (5) drives the conveyor belt (6) to run; use the industrial camera (1) to obtain the keyboard character image, and use the computer vision SVM classification method to detect image defects, and judge the keyboard in the production process. production quality; use computer (2) to communicate with single chip microcomputer msp430 serial port, control the speed of conveyor belt...

Embodiment 2

[0057] see figure 2 , Figure 11 , the keyboard character defect on-line detection method based on computer vision, adopts the keyboard character defect on-line detection system based on computer vision according to claim 1 to operate, it is characterized in that concrete operation steps are as follows:

[0058] ⑥ Use image grayscale and median filter method to improve image quality;

[0059] ⑦ Use surf feature points for image matching, and rotate the tilted image to be at the same level as the template image;

[0060] ⑧Using the eight-neighboring method to extract the outline of the character, by obtaining its outline, calculating the minimum circumscribed rectangle of the outline of these characters, and determining the position of the character;

[0061] ⑨Calculate the coordinates of the circumscribed rectangle, and sequentially label the characters;

[0062] Extract the size, center, and moment features of the characters, and use the SVM classifier for training to sep...

Embodiment 3

[0069] The online detection method of keyboard defects based on computer vision not only has high detection accuracy but also fast detection speed. This embodiment can be divided into two phases of hardware design and software design, and the detailed steps are as follows:

[0070] 1. Hardware design (see figure 1 )

[0071] figure 1 As a hardware framework of this system, the detection system is mainly composed of a computer, msp430 single-chip microcomputer, and a 5 million pixel industrial camera. Since the CCD camera and the conveyor belt work independently, the exposure time of the CCD camera must be determined so that the camera can capture the keyboard every time, so the exposure time must be calculated.

[0072] Suppose the distance between two adjacent keyboards is Δs, the running speed of the conveyor belt is v, and the exposure time is Δt. From Δs=Δt×v, the exposure time of the camera can be obtained. Therefore, it is only necessary to communicate with the serial...

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Abstract

The invention relates to a keyboard character online detection system based on computer vision and a keyboard character online detection method thereof. The system comprises an industrial camera, a computer, a single-chip microcomputer system, a frequency converter, a motor and a conveying belt. The method comprises the operation steps that (1) the image quality is enhanced by using an image gray processing and median filtering method; (2) image matching is performed by using surf feature points; (3) the character positions are determined; (4) sequence numbering is performed on the characters; and (5) defect character separation is performed. An SVM classification method is used by the detection algorithm, the normal characters are marked as positive samples, the wrong characters are marked as negative samples, and the size, the center and the moment features of the samples are extracted to be trained. The system is easy to install and high in detection efficiency and plays an important role in the keyboard production process.

Description

technical field [0001] The invention relates to a method based on a support vector machine, and specifically designs an online keyboard character defect detection system and method based on computer vision, detects keyboard defects, and extracts their size, center of gravity, and perimeter by automatically locating keyboard characters , Moment and other features are trained to detect character defects, and a complete set of keyboard character online detection system and method composed of computer, industrial camera, light source and single-chip microcomputer is constructed. Background technique [0002] In the keyboard production process, the keys on the keyboard need to be printed and installed, but in the printing and installation process, it is easy to appear dirty printing, wrong installation and so on. In order to strictly control the quality of keyboard production, it is necessary to monitor the quality of printed matter on the keyboard production line in real time an...

Claims

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Application Information

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IPC IPC(8): G06K9/60G06K9/62G06K9/32
CPCG06V10/243G06V10/25G06V10/20G06V2201/06G06F18/2411
Inventor 曾丹卿杨春张之江包怡欣李剑沈为
Owner SHANGHAI UNIV
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