Non-woven fabric breathing pore detection device and method

Abstract

The invention discloses a non-woven fabric breathing pore detection device and method, and relates to the technical field of non-woven fabric pore detection. A sensor of the non-woven fabric breathingpore detection device sends a triggered signal generated when the sensor is triggered by a non-woven fabric to an industrial Gige camera; then a non-woven fabric image is acquired by a light source assembly and an image acquisition module, and the acquired image is treated by an image processing module to obtain the pore area threshold and the pore profile center coordinate value. The device hasthe following advantages: (1) the size of the maximum area of detectable non-woven fabric breathing pores is 100 mm*100 mm; (2) the presence or absence of more than two breathing pores can be detectedsimultaneously; (3) the presence or absence of more than two breathing pores with different sizes can be detected simultaneously; (4) the coordinate values of more than two breathing pores on the non-woven fabric can be detected simultaneously; (5) the presence or absence and the position of non-woven fabric breathing pores can be detected on line real-timely; and (6) the production efficiency ofthe non-woven fabric breathing pore detection can be improved.

Description

technical field [0001] The invention relates to the technical field of non-woven fabric hole detection, in particular to a non-woven fabric air hole detection device and method. Background technique [0002] In recent years, machine vision technology has developed extremely rapidly, with a wide range of applications and promising development prospects. Many technologies used in machine vision technology are derived from computer science. It has been more than 20 years since it was developed and widely used today. During this period, due to the continuous development of science and technology and the continuous high standard requirements of industrial automation, machine vision The scope and functionality of technology applications are constantly being improved. Machine vision is a very active research field, and machine vision technology has also begun to specialize in measurement. However, for the production inspection of industrial parts, its specification requirements an...

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Problems solved by technology

[0004] At present, the traditional quality inspection of parts is based on the low efficiency and low precision of contact detection, especially for some products whose porous material is cloth, the detection is more difficult, and for some equipment with high precision and high accuracy of non-destructive testing Requires a relatively high detection environment and is relatively expensive

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