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Algorithm for detecting glass bottle neck damage and bottle bottom dirt

A glass bottle and detection method technology, applied in the direction of calculation, measuring device, image data processing, etc., can solve problems such as inability to purchase, bottle mouth damage, low efficiency, etc., and achieve the effect of high algorithm efficiency, increased quantity, and fast speed

Inactive Publication Date: 2011-08-24
HARBIN INST OF TECH AT WEIHAI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional manual detection method cannot guarantee the reliability of the detection, and the efficiency is low, so the machine automatic detection based on robot vision came into being
At present, most of the testing machines used in China are imported, which are expensive, and generally small and medium-sized enterprises cannot afford to buy them. In addition, due to factors such as bottle size, color and national conditions, foreign testing equipment is not completely suitable for domestic use.
Under normal circumstances, recycled glass bottles may appear after cleaning: damage to the bottle mouth (which will lead to the failure of glass bottle packaging or safety hazards after packaging, resulting in defective products), damage to the body and bottom of the bottle (which will cause the glass bottle to be damaged during pressurization). There is a hidden danger of explosion), there are foreign objects on the bottle body and the inner wall of the bottom of the bottle, and there are residual liquids in the bottle, etc., which seriously affect the quality of the product. Therefore, it is necessary to develop a fast and effective glass bottle detection method of

Method used

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  • Algorithm for detecting glass bottle neck damage and bottle bottom dirt
  • Algorithm for detecting glass bottle neck damage and bottle bottom dirt
  • Algorithm for detecting glass bottle neck damage and bottle bottom dirt

Examples

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Embodiment Construction

[0025] The detection method of the glass bottle mouth and bottle bottom dirt of the present invention, at first is the acquisition of the bottle bottom and bottle mouth pictures, simulates the automatic detection device in the laboratory environment to carry out the acquisition of glass bottle bottle mouth and bottle bottom pictures. Acquisition of the picture of the bottle mouth: add a uniform light source directly above the bottle mouth, and then shoot the camera facing the bottle mouth. Faster and better detection. Acquisition of bottle bottom pictures: put a uniform light source on the bottom of the glass bottle facing the bottom of the bottle, and take pictures of the bottom of the bottle with a telephoto camera facing the bottle mouth. Note that the camera and the bottom of the bottle should be vertical when shooting and try to ensure that the camera The center of the bottle is facing the center of the bottom of the bottle to facilitate the positioning of the center circ...

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Abstract

The invention relates to an algorithm for detecting glass bottle neck damage and bottle bottom dirt, comprising the following steps: obtaining, filtering and binarizing the pictures of the bottle neck and the bottle bottom; positioning a zone to be processed; calculating the number of disturbance points in the zone; when the number is less than a certain threshold value, judging that no disturbance exists; and otherwise, eliminating the disturbance with a Gravity method and judging whether defects exist again. The algorithm has the characteristics of high speed and high precision and is suitable for the existing glass bottle detection device in China.

Description

Technical field: [0001] The invention belongs to the technical field of digital image processing, in particular to a method for detecting glass bottle mouth damage and bottle bottom dirt. Background technique: [0002] At present, in order to protect the environment and save costs, most manufacturers of beer and beverages use recyclable glass bottles. However, the recycled glass bottles will inevitably be polluted and damaged during transportation and use, so they must be cleaned and tested. Enter the filling process. [0003] The traditional manual-based detection method cannot guarantee the reliability of the detection, and the efficiency is low, so the machine automatic detection based on robot vision came into being. At present, most of the testing machines used in China are imported, which are expensive, and generally small and medium-sized enterprises cannot afford to buy them. In addition, due to factors such as bottle size, color and national conditions, foreign tes...

Claims

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Application Information

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IPC IPC(8): G01N21/958G06T7/00
Inventor 王好贤毛兴鹏刘沁李方
Owner HARBIN INST OF TECH AT WEIHAI
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