DESIGN AND IMPLEMENTATION OF IMAGE PROCESSING SUBSYSTEM AS TRIPLEK COUNTING ALGORTIHM USING LINE SEGMENT DETECTION FOR PORTABLE HANDHELD DEVICE
This final assignment book discusses the inefficiency of manual counting of plywood at the Getstok Bandung warehouse. We propose a handheld device equipped with a camera for plywood counting. The image processing subsystem is selected using a line segment detection algorithm, which shows very hig...
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id-itb.:796602024-01-15T07:59:20ZDESIGN AND IMPLEMENTATION OF IMAGE PROCESSING SUBSYSTEM AS TRIPLEK COUNTING ALGORTIHM USING LINE SEGMENT DETECTION FOR PORTABLE HANDHELD DEVICE Naufal Abid, Muhammad Indonesia Final Project LSD, ELSED, Line, Triplek. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/79660 This final assignment book discusses the inefficiency of manual counting of plywood at the Getstok Bandung warehouse. We propose a handheld device equipped with a camera for plywood counting. The image processing subsystem is selected using a line segment detection algorithm, which shows very high efficiency and adaptability. Python was chosen for programming, and 12 algorithms were tested, with ELSED emerging as the most effective. The results showed an average accuracy of 90.3% and an impressive speed of 9 seconds, exceeding the maximum requirement of 5 minutes. The tool is also capable of running on 8 different plywood thicknesses. Further algorithm development is needed so that the algorithm is more adaptive. Design implementation process that shows potential for future developments in sheet-like stack computing. text |
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Institut Teknologi Bandung |
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Indonesia Indonesia |
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Institut Teknologi Bandung |
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Digital ITB |
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Indonesia |
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This final assignment book discusses the inefficiency of manual counting of
plywood at the Getstok Bandung warehouse. We propose a handheld device
equipped with a camera for plywood counting. The image processing subsystem is
selected using a line segment detection algorithm, which shows very high
efficiency and adaptability. Python was chosen for programming, and 12
algorithms were tested, with ELSED emerging as the most effective. The results
showed an average accuracy of 90.3% and an impressive speed of 9 seconds,
exceeding the maximum requirement of 5 minutes. The tool is also capable of
running on 8 different plywood thicknesses. Further algorithm development is
needed so that the algorithm is more adaptive. Design implementation process
that shows potential for future developments in sheet-like stack computing. |
format |
Final Project |
author |
Naufal Abid, Muhammad |
spellingShingle |
Naufal Abid, Muhammad DESIGN AND IMPLEMENTATION OF IMAGE PROCESSING SUBSYSTEM AS TRIPLEK COUNTING ALGORTIHM USING LINE SEGMENT DETECTION FOR PORTABLE HANDHELD DEVICE |
author_facet |
Naufal Abid, Muhammad |
author_sort |
Naufal Abid, Muhammad |
title |
DESIGN AND IMPLEMENTATION OF IMAGE PROCESSING SUBSYSTEM AS TRIPLEK COUNTING ALGORTIHM USING LINE SEGMENT DETECTION FOR PORTABLE HANDHELD DEVICE |
title_short |
DESIGN AND IMPLEMENTATION OF IMAGE PROCESSING SUBSYSTEM AS TRIPLEK COUNTING ALGORTIHM USING LINE SEGMENT DETECTION FOR PORTABLE HANDHELD DEVICE |
title_full |
DESIGN AND IMPLEMENTATION OF IMAGE PROCESSING SUBSYSTEM AS TRIPLEK COUNTING ALGORTIHM USING LINE SEGMENT DETECTION FOR PORTABLE HANDHELD DEVICE |
title_fullStr |
DESIGN AND IMPLEMENTATION OF IMAGE PROCESSING SUBSYSTEM AS TRIPLEK COUNTING ALGORTIHM USING LINE SEGMENT DETECTION FOR PORTABLE HANDHELD DEVICE |
title_full_unstemmed |
DESIGN AND IMPLEMENTATION OF IMAGE PROCESSING SUBSYSTEM AS TRIPLEK COUNTING ALGORTIHM USING LINE SEGMENT DETECTION FOR PORTABLE HANDHELD DEVICE |
title_sort |
design and implementation of image processing subsystem as triplek counting algortihm using line segment detection for portable handheld device |
url |
https://digilib.itb.ac.id/gdl/view/79660 |
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