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Machine vision-based safety fuse gunpowder density nondestructive testing method and machine vision-based safety fuse gunpowder density nondestructive testing system

A non-destructive testing and machine vision technology, applied in the direction of optical testing flaws/defects, etc., can solve problems such as hidden safety hazards, high missed detection rate, high price, etc., and achieve the effect of strong practicability, good stability and simple operation.

Active Publication Date: 2013-11-27
东莞市三瑞自动化科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional manual detection method has the disadvantages of slow speed, low efficiency, false detection, and high rate of missed detection. At the same time, because the product is a dangerous product, there are serious safety hazards in manual on-site detection.
If radiation detection is used, there is radiation protection and the difficulty of expensive

Method used

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  • Machine vision-based safety fuse gunpowder density nondestructive testing method and machine vision-based safety fuse gunpowder density nondestructive testing system
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  • Machine vision-based safety fuse gunpowder density nondestructive testing method and machine vision-based safety fuse gunpowder density nondestructive testing system

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Embodiment Construction

[0037] see Figure 1 to Figure 7 , the non-destructive detection method of fuse gunpowder density based on machine vision provided by the invention, it comprises the steps:

[0038] (1), a camera device 1 is set, which is used to collect fuse and gunpowder core perspective images;

[0039] (2), a light source control device 4 is set, which is used to adjust the illumination brightness of the light source, and make the light source produce a uniform light-emitting surface;

[0040] (3), a display device is provided for displaying the current processing result;

[0041] (4), an intelligent detection device 5 is set, and described intelligent detection device 5 is provided with a digital image processing chip, is integrated with the analysis software based on the grayscale analysis method in the image processing and the black and white center of gravity method in the described digital image processing chip, Based on the processing software of the mathematical model of the corre...

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Abstract

The invention discloses a machine vision-based safety fuse gunpowder density nondestructive testing method which comprises the following steps of 1. setting a camera device; 2. setting a light source control device; 3. setting a display device; 4. setting an intelligent detection device, wherein the intelligent detection device is respectively connected with the camera device, the light source control device and the display device; and 5. placing a safety fuse to be tested, wherein the devices are in working states, the intelligent detection device sends a control command to the light source control device for regulating a light source, sends a control command to the camera device for acquiring perspective images of the safety fuse and a gunpowder core, the intelligent detection device analyzes and processes each frame of received perspective image of the safety fuse and the gunpowder core, and intelligently judges whether gunpowder exists in the gunpowder core in the safety fuse or not or insufficient gunpowder exists in the gunpowder core in the safety fuse, and the display device and an alarm device provide a detection result. The invention further discloses a system for implementing the method.

Description

technical field [0001] The invention belongs to the technical field of nondestructive testing, and in particular relates to a machine vision-based nondestructive detection method for fuse powder density and a machine vision based nondestructive detection system for fuse powder density implementing the method. Background technique [0002] At present, broken cores are the most serious quality defect in the fuse processing industry. The traditional manual detection method has the disadvantages of slow speed, low efficiency, false detection, and high rate of missed detection. At the same time, because the product is a dangerous product, there are serious safety hazards in manual on-site detection. If ray detection is adopted, there is also the difficulty of ray protection, which is expensive. Contents of the invention [0003] Aiming at the deficiencies of the prior art, the present invention provides a safe, reliable, efficient, fast and accurate machine vision-based non-de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88
Inventor 李景星于辰起谢家振
Owner 东莞市三瑞自动化科技有限公司
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