An automatic positioning method for non-woven bags based on computer vision

A computer vision, non-woven bag technology, applied in computing, image analysis, image enhancement and other directions, can solve the problems of low artificial positioning efficiency and inaccurate positioning of non-woven fabrics, achieve fast calculation speed, high degree of intelligence, accurate positioning

Active Publication Date: 2017-10-17
泗阳鼎顺医疗用品有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] In order to solve the problem of low efficiency and inaccurate positioning of non-woven fabrics in the existing technology, a non-woven bag positioning method based on computer vision is provided. This method makes full use of the advantages of image processing and can quickly and accurately locate The non-woven bags on the production line are positioned to meet the needs of production

Method used

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  • An automatic positioning method for non-woven bags based on computer vision
  • An automatic positioning method for non-woven bags based on computer vision
  • An automatic positioning method for non-woven bags based on computer vision

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Embodiment 1

[0060]With reference to the accompanying drawings, a computer vision-based automatic positioning method for non-woven bags, the steps are as follows:

[0061] Step 1: Obtain the real-time image P of the non-woven bag with a resolution of 800×600 from the high-speed industrial camera k , the image has a height of 800 and a width of 600;

[0062] Step 2. Obtain the front line and background image of the non-woven bag through the frame difference method. The specific process is as follows:

[0063] Step 2.1 Calculate the difference image of two consecutive frames of images, the calculation formula is

[0064] G 1 =P k -P k-1

[0065] where P k-1 is the image at the previous moment, P k is the image at the current moment, G 1 is the difference image at the current moment;

[0066] Step 2.2 Perform Gaussian filter calculation on the difference image to eliminate noise, set the width of the Gaussian function to 5, and the calculation formula is

[0067]

[0068] Where x...

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Abstract

The invention discloses a non-woven bag automatic positioning method based on computer vision. The method comprises following steps: acquiring a real-time image of a non-woven bag on an assembly line through visual equipment; acquiring a front end line and a background image of the non-woven bag through an inter-frame difference manner; calculating a differential image of the k+n moment through a background subtraction method; calculating a novel front end line of the differential image; marking U at the position of the novel front end line; seeking four points on left and right end lines of the novel differential image; and calculating the deflection angle theta of the non-woven bag. By employing the method, the position of the front end line of the non-woven bag, the positions of the four points on the left and right end lines, and the deflection angle of the non-woven bag can be finally obtained, so that the non-woven bag is positioned.

Description

technical field [0001] The invention relates to the field of automatic measurement and control, in particular to a real-time and automatic positioning method for non-woven bags on a production line. Background technique [0002] With the enhancement of people's awareness of environmental protection, the demand for non-woven bags is increasing. However, in the existing assembly line production process, due to the flexibility of the non-woven bag, it is difficult to accurately locate it mechanically, resulting in a large amount of manual auxiliary positioning required in the production processes such as printing and dyeing, pasting and bonding. The production efficiency is low, and it cannot satisfy fast and high-quality production. Therefore, it is an urgent need for current production enterprises to develop a fast and accurate automatic positioning method for non-woven bags. [0003] At present, with the development of image processing and artificial intelligence technolog...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
CPCG06T7/74G06T2207/30124
Inventor 王宪保王辛刚何文秀顾勤龙陈德富姚明海
Owner 泗阳鼎顺医疗用品有限公司
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