Vision checking system for labelling inspection / Mariati Sabah

By: Material type: TextTextPublication details: Kuantan, Pahang : UMP, 2010Description: xii, 54 p. : ill. (some col.) ; 30 cm. + 1 computer discISBN:
  • THE0005973(Local)
Other title:
  • Vision checking system for labelling inspection [computer file]
Subject(s): Dissertation note: Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010 Abstract: This project is to present the efficient vision checking system for labeling inspection. But in this daily life, most of the factory and production produces a lot of product with error on the labeling due to the human inspection. In this project, the system is to detect the labeling error due to the printing problem. The method being used in this project is a digital image processing which is Image Subtraction Operation. The picture was processing by converting an original picture, obtained by taking a photograph of the good product and also the reject one into the gray scale format. The simulation of this inspection will be done by using the Matlab software. The system will judge a pass or rejection of the inspection target sample based on the generated inspection picture and the statistical value of the subtraction image. From the analysis of the results it shows that there are 50 original images and 50 defect images. Then, the system can be categories as an efficient system
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Item type Current library Call number Copy number Status Date due Barcode
Final Year Report Final Year Report UMPLIB PEKAN TA1637 .M375 2010 rs Bc. (Browse shelf(Opens below)) 1 Not for loan 0000058436
Final Year Report Final Year Report UMPLIB PEKAN CD 5394 | TA1637 .M375 2010 rs Bc. (Browse shelf(Opens below)) 1 Not for loan 0000058437

Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010

Bibliography : p. 46-47

This project is to present the efficient vision checking system for labeling inspection. But in this daily life, most of the factory and production produces a lot of product with error on the labeling due to the human inspection. In this project, the system is to detect the labeling error due to the printing problem. The method being used in this project is a digital image processing which is Image Subtraction Operation. The picture was processing by converting an original picture, obtained by taking a photograph of the good product and also the reject one into the gray scale format. The simulation of this inspection will be done by using the Matlab software. The system will judge a pass or rejection of the inspection target sample based on the generated inspection picture and the statistical value of the subtraction image. From the analysis of the results it shows that there are 50 original images and 50 defect images. Then, the system can be categories as an efficient system

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