Visual inspection method for bottle packaging quality

A visual inspection and quality technology, applied in the direction of liquid/fluid solid measurement, measurement device, lubrication indicator device, etc., can solve the problems of long detection time, unsatisfactory, complex detection algorithm, etc.

Active Publication Date: 2017-02-01
XIANGTAN UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, their detection algorithms are complex and time-consuming, which cannot meet the needs of PET bottle detection on high-speed production lines. In addition, they

Method used

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  • Visual inspection method for bottle packaging quality
  • Visual inspection method for bottle packaging quality
  • Visual inspection method for bottle packaging quality

Examples

Experimental program
Comparison scheme
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Example Embodiment

[0091] Example 1:

[0092] like Figure 1-6 , a method for visual inspection of bottle packaging quality, comprising the following steps:

[0093] Step 1: Obtain bottle image and pre-processing;

[0094] Step 2: Position the support ring in the image;

[0095] Step 3: Calibrate the cover, liquid level and coding detection area;

[0096] Step 4: Check for defects in caps, fluid levels, and coding.

[0097] In step 1, through the backlight and RGB three-color strip light illumination, use the CCD industrial camera and the image acquisition card to collect the bottle image, and then send the collected image to the industrial computer for preprocessing, and use the median filtering method to remove the image acquisition and Noise points that exist during transmission.

[0098] Step 2 includes a coarse positioning step and a fine positioning step;

[0099] (1) Coarse positioning steps:

[0100] For the preprocessed image, select the positioning region Reg loca , the positio...

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Abstract

The invention discloses a visual inspection method for bottle packaging quality. The visual inspection method comprises the following steps: (1) acquiring a bottle image and carrying out preprocessing; (2) locating a support ring by using the strategy of longitudinal bottom-to-top searching; (3) carrying out self-adaptive calibration of a capping cover, a liquid level and a sprayed-code detection area; and (4) extracting a Blob candidate block by using a gray threshold segmentation algorithm and determining whether the capping cover, the liquid level and the sprayed-code detection area have defects according to determination rules. The visual inspection method overcomes the problems of slow speed, low efficiency and poor precision of artificial inspection; moreover, the method overcomes the problems that conventional visual inspection algorithms are complex, consume a long period of time in inspection and cannot meet demands on inspection of PET bottles on a high-speed production line, and improves the automation degree of bottle inspection.

Description

technical field [0001] The invention belongs to the field of automatic detection, and in particular relates to a visual detection method for bottle packaging quality. Background technique [0002] Polyethylene terephthalate (PET) is a polymer produced by combining terephthalic acid and ethylene glycol. PET bottle specifically refers to the beverage bottle made of PET material, because of its small specific gravity, high strength, convenient handling and transportation, not easy to break, high transparency, smooth surface and beautiful appearance, easy to recycle and reuse, etc., it has been favored in beverage packaging. more and more widely used. [0003] The rapid development of automation level provides the possibility for mass production of bottled beverages on the assembly line. The production process of bottled beverages mainly includes blowing, filling, capping, coding, labeling and packing and palletizing. Filling and capping are key processes that affect quality i...

Claims

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Application Information

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IPC IPC(8): G01N21/88G01F23/292G06T7/11G06T7/136G06T7/187G06T7/194
CPCG01F23/292G01N21/88G01N2021/8887G06T7/0006
Inventor 许海霞王伟周维朱江莫言印峰邓清勇周帮王倪东
Owner XIANGTAN UNIV
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