Method and system for detecting drug blister package defect based on machine vision

A technology of blister packaging and machine vision, which is applied in the direction of optical testing flaws/defects, instruments, measuring devices, etc., can solve the problems of slow blister detection, low degree of automation, and light labor, etc., to improve detection reliability. , a high degree of automation, the effect of enhancing the structure characteristics

Pending Publication Date: 2018-07-31
FOSHAN POLYTECHNIC
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method and system for detecting defec

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  • Method and system for detecting drug blister package defect based on machine vision
  • Method and system for detecting drug blister package defect based on machine vision
  • Method and system for detecting drug blister package defect based on machine vision

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[0041] In order to make the object, technical solution and advantages of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0042] Such as figure 1 As shown, the present invention discloses a method for detecting drug blister packaging based on machine vision, which includes the following steps:

[0043] Step 1, image acquisition, using a laser transmitter to project onto the packaged blister to collect image information;

[0044] Step 2, image information processing, image enhancement, recovery, encoding and grayscale transformation, using the median filter method to remove noise from the collected image;

[0045] Step 3, image segmentation (object or boundary), threshold setting;

[0046] Step 4, image edge tracking, using the Canny edge detection algorithm to detect the edge of the blister;

[0047] Step 5, extracting image features, setting a threshold...

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Abstract

The invention discloses a method and system for detecting a drug blister package based on machine vision. The method comprises the following steps of step 1, conducting image acquisition by projectingonto a packaged blister by a laser emitter to acquire image information; step 2, conducting image information processing through image enhancement, recovery, encoding and grey level transformation, and conducting noise removal on an image; step 3, conducting image segmentation and threshold setting; step 4, conducting image edge tracking by using a Canny edge detection algorithm to detect the blister edge; step 5, extracting image features, performing threshold setting on the decomposed image, and extracting image features of a corresponding region by a threshold value; step 6, extracting thecolor, position, size and shape of a segmented drug; step 7, selecting the position, size, shape and surface defect size tolerance of the tablet; step 8, saving a standard template, tablet characteristics and a tolerance value; step 9, labeling the defective tablet and the corresponding blister; step 10, finally saving data.

Description

technical field [0001] The invention relates to the technical field of blister detection, in particular to a method and system for detecting defects in blister packaging of medicines based on machine vision. Background technique [0002] Factors affecting the quality of pharmaceutical packaging mainly include voids, tablet defects, and surface color. On the one hand, the traditional contact measurement technology restricts the efficiency and accuracy of drug blister detection. On the other hand, the traditional off-line and static measurement technology cannot meet the requirements of modern detection, and cannot detect the packaging defects of drugs in time, which seriously affects the drug packaging. quality. If it cannot realize fast speed, high precision, and online automatic detection, it will reduce the production efficiency of the enterprise, and even directly affect the economic benefits of the enterprise. In addition, the traditional drug packaging inspection is m...

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Application Information

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IPC IPC(8): G01N21/88
CPCG01N21/8851G01N2021/8887
Inventor 黄远民易铭杨伟航杨元凯
Owner FOSHAN POLYTECHNIC
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