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The Research of Pharmaceutical Packaging Inspection Technology Based on Machine Vision

Author: ZhaoPeng
Tutor: LiShuTao
School: Hunan University
Course: Control Science and Engineering
Keywords: Machine Vision Blister pills detection Image processing and analysis Classification and Detection
CLC: TQ460.69
Type: Master's thesis
Year: 2009
Downloads: 325
Quote: 7
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Abstract


With the rapid development of science and technology , industrial production processes further refinement , more and more complex products , manufacturers gradually strengthen product quality testing links . Visual detection techniques are increasingly being used in various fields , instead of fully automated product testing , process validation , and even the automatic control of the entire production process . Traditional manual packaging quality testing in the pharmaceutical packaging industry , labor-intensive , inefficient and prone to false detection and missed the phenomenon . Detection efficiency and success rate can be improved through the application of machine vision , to assure the quality of products at the same time , reduce the labor intensity and reduce production costs . The paper first analyzes the status quo of domestic and foreign machine vision research and the demand for machine vision , summarizes the characteristics of the machine vision and machine vision applications were summarized . Secondly, combined with plastic blister packaging production line , the use of image processing and classification detection technology to build a machine vision quality inspection system set by the imaging unit , the image processing unit , detection unit classification . In-depth study of the key technologies for machine vision imaging system , designed a PC -based frame grabbers and CCD industrial camera image acquisition program and complex site for tablet packaging lines , research a suitable system light source lighting solutions to meet the system the requirements to obtain a clear blister tablet image . In the image on the basis of the system to obtain the blister tablets , the paper detailed analysis of the blister tablets image pre-processing , segmentation and edge detection method . Blister tablets packaged product defects , tablets blister defect detection method based on support vector machine . The combined statistical learning theory , focusing on analysis of feature vectors and support vector machine classifier training method based on Fourier descriptors extracted by comparison with BLOB-based analysis , defect detection method based on template matching , the results show that the classification detection based on support vector machine the detection algorithm has better effect . Finally, a software system designed blister tablets image processing and classification detection algorithm , and discusses in detail the options and features of the software library , as well as the software overall structure and processes .

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CLC: > Industrial Technology > Chemical Industry > Pharmaceutical chemical industry > General issues > Pharmaceutical Process > Package
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