DESIGN AND IMPLEMENTATION OF IMAGE PROCESSING ALGORITHM AND HMI DISPLAY ON AUTOMATIC VISUAL INSPECTION SYSTEM
PT Paragon Technology and Innovation is one of the largest FMCG companies in Indonesia that focuses on manufacturing cosmetic products. The manufacturing process has a very tight packaging schedule that has been determined by the Planner. Due to the high production target and the large number of...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/67878 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | PT Paragon Technology and Innovation is one of the largest FMCG companies in
Indonesia that focuses on manufacturing cosmetic products. The manufacturing
process has a very tight packaging schedule that has been determined by the
Planner. Due to the high production target and the large number of SKUs produced
on the same packaging line, there is possibility of errors such as mismatch of
variant information on secondary packaging, which could lead to an increase in
Cost of Poor Quality and a decrease in customer trust in the brand. An automated
visual inspection system is implemented to detect mismatchesin variant information
in the product’s secondary packaging and reject defect products.
To capture packaging image, 3 cameras are mounted on a cartoning machine with
a field of view 36° - 66° and a minimum illumination intensity of 138 Lux which is
capable of performing image acquisition with a resolution of 1920 x 1080 pixels
and a bit depth of 24 bits in real time. Based on the test results, the image processing
algorithm can classify packaging quality with varying degrees of accuracy in the
range of 77% to 96% and a maximum inspection processing duration of 179.83 ms.
The level of accuracy and processing time are influenced by various factors such
as packaging design and features detected in the image processing step. The HMI
panel is used to configure the inspection algorithm parameters that have a SEQ
rating of 6 and have fulfilled all the required functionality. Further development of
image processing algorithms is needed to achieve better inspection accuracy and
faster processing time. It is hoped that the automated visual inspection system can
assist the Quality Control process on products in a manufacturing environment. |
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