Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Device and method for detecting keyboard defects

A defect detection and keyboard technology, applied in measuring devices, material analysis through optical means, instruments, etc., can solve the problems of simple hardware, detection is greatly affected by external light sources, manual processing of keyboard characters, etc., and achieves wide application range and software The rapid effect of the detection process

Inactive Publication Date: 2013-06-19
SHANGHAI UNIV
View PDF7 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Although the visual inspection technology has made great progress, some visual inspection systems for keyboards have appeared, but their hardware is simple, the detection is greatly affected by external light sources, or the detection process does not consider the fixing of the keyboard, and some detection software Fully automatic detection cannot be realized, and keyboard characters need to be manually processed

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Device and method for detecting keyboard defects
  • Device and method for detecting keyboard defects
  • Device and method for detecting keyboard defects

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] Embodiment 1: Reference figure 1 and figure 2 , the keyboard defect detection device, including camera (1), light source (2), keyboard fixing device (3), base (4), round rod guide rail (5), tray (6), linear guide rail (7), longitudinal ball screw (8), horizontal ball screw ( ) and computer (9). Two bases are fixedly installed on the left and right edges of the base (4), and two round bar guide rails (5) are installed in parallel in the middle; the camera (1) is located above the light source (2), and both are fixed on the horizontal ball screw ( ) to form a left and right moving pair; the longitudinal ball screw (8) and the linear guide (7) are respectively located on the base of the left and right edges, and the horizontal ball screw ( ) are respectively screwed with the longitudinal ball screw (8) through nuts and slipped with the linear guide (7) to form a longitudinal movement pair. The keyboard fixing device (3) is installed on the tray (6), and the tray (...

Embodiment 2

[0026] Embodiment 2: The camera adopts a 500-megapixel industrial camera and is placed above the light source (2). There is a camera hole on the light source (2). Moving the camera through the hole can ensure that the entire area of ​​the keyboard image can be extracted. In order to ensure uniform illumination, LED ring light source should be used. The collected images are transmitted between the camera and the computer through the USB communication interface.

[0027] The positioning accuracy requirement of the keyboard fixing device (3) means that the rotation angle is kept within the range of 1 degree, and at the same time, the movement accuracy of 2.5 mm is guaranteed in the horizontal and vertical directions.

[0028] In order to facilitate the placement of the keyboard, when the tray (6) moves to the end point on the round bar guide rail (5), a part can protrude beyond the range covered by the base (4).

Embodiment 3

[0029] Embodiment three: as Figure 4 , this keyboard character defect detection method adopts above-mentioned device to detect, and the step of detection is as follows:

[0030] 1) Image preprocessing. The preprocessing includes grayscale, binarization and filtering processing, the purpose is to remove irrelevant pixels and highlight the difference between the keyboard characters and the background;

[0031] 2) Obtain the region of interest: Use mathematical morphology to obtain the entire region of interest. First, the expansion operation is used to obtain the approximate area of ​​the character; then, the closed operation is performed to remove some small holes in the character area to prevent it from interfering with the image area. Acquisition; finally, an opening operation is performed to ensure that there can only be one character area on a keycap, and then edge extraction is performed to obtain the entire area;

[0032] 3) Tilt correction: first calculate the c...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a device and method for detecting keyboard defects. The device for detecting the keyboard defects comprises a camera, a light source, a keyboard fixing device, a base, a round bar guide rail, a tray, a straight line guide rail, a longitudinal ball screw, a transverse ball screw and a computer. The method for detecting the keyboard defects comprises the steps of image preprocessing, interesting area extraction, image correction, feather extraction and model identification. According to the device and the method for detecting the keyboard defects, labor intensity and interference of subjective factors of people can be reduced, and meanwhile production efficiency of enterprises can be improved.

Description

technical field [0001] The invention relates to a detection device and method for keyboard character defects. In particular, a device and method for keyboard defects. Background technique [0002] In the production and manufacture of keyboards, it is necessary to assemble and print the keycaps to display familiar a-z letters, numbers and some special symbols. Detect the keyboard to ensure the pass rate of the product. The traditional detection method is our most basic manual detection. Manual detection is based on actual work experience. However, the large number of keycaps and the variety of printing not only increase the labor intensity of workers, but also reduce the accuracy and efficiency. Therefore, if the process of keyboard detection uses a visual inspection system, it will show great advantages. [0003] Although the visual inspection technology has made great progress, some visual inspection systems for keyboards have appeared, but their hardware is simpl...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/956
Inventor 高新闻管兴坚管奔博
Owner SHANGHAI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products