Implementation of Artificial Neural Network Using Back- Propagation Method In Autonomous Mobile Robot For Object Detection

Implementation of Artificial Neural Network Using Back- Propagation Method In Autonomous Mobile Robot For Object Detection

In this final project, a vision system designed for tank base autonomous mobile robot. The vision system consists of 2 steps to detected object. The fist step was detected object base on his specific color. The second was identified it base on the shape of object, at this step identification process...

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Main Author: SAMUEL (NIM 13205093); Pembimbing: Dr. Ir. Hilwadi Hindersah, M.Sc., MARTEEN
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/13631
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:13631
spelling id-itb.:136312017-09-27T10:18:47ZImplementation of Artificial Neural Network Using Back- Propagation Method In Autonomous Mobile Robot For Object Detection SAMUEL (NIM 13205093); Pembimbing: Dr. Ir. Hilwadi Hindersah, M.Sc., MARTEEN Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/13631 In this final project, a vision system designed for tank base autonomous mobile robot. The vision system consists of 2 steps to detected object. The fist step was detected object base on his specific color. The second was identified it base on the shape of object, at this step identification process was done using back-propagation neural network. Training process was done in off-line mode to reduce execution time of the system to increase the speed of process. For widen the range of vision, movement mechanism was designed with ability to move horizontal and vertical. Suitable algorithm would support the movement mechanism for better detection. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description In this final project, a vision system designed for tank base autonomous mobile robot. The vision system consists of 2 steps to detected object. The fist step was detected object base on his specific color. The second was identified it base on the shape of object, at this step identification process was done using back-propagation neural network. Training process was done in off-line mode to reduce execution time of the system to increase the speed of process. For widen the range of vision, movement mechanism was designed with ability to move horizontal and vertical. Suitable algorithm would support the movement mechanism for better detection.
format Final Project
author SAMUEL (NIM 13205093); Pembimbing: Dr. Ir. Hilwadi Hindersah, M.Sc., MARTEEN
spellingShingle SAMUEL (NIM 13205093); Pembimbing: Dr. Ir. Hilwadi Hindersah, M.Sc., MARTEEN
Implementation of Artificial Neural Network Using Back- Propagation Method In Autonomous Mobile Robot For Object Detection
author_facet SAMUEL (NIM 13205093); Pembimbing: Dr. Ir. Hilwadi Hindersah, M.Sc., MARTEEN
author_sort SAMUEL (NIM 13205093); Pembimbing: Dr. Ir. Hilwadi Hindersah, M.Sc., MARTEEN
title Implementation of Artificial Neural Network Using Back- Propagation Method In Autonomous Mobile Robot For Object Detection
title_short Implementation of Artificial Neural Network Using Back- Propagation Method In Autonomous Mobile Robot For Object Detection
title_full Implementation of Artificial Neural Network Using Back- Propagation Method In Autonomous Mobile Robot For Object Detection
title_fullStr Implementation of Artificial Neural Network Using Back- Propagation Method In Autonomous Mobile Robot For Object Detection
title_full_unstemmed Implementation of Artificial Neural Network Using Back- Propagation Method In Autonomous Mobile Robot For Object Detection
title_sort implementation of artificial neural network using back- propagation method in autonomous mobile robot for object detection
url https://digilib.itb.ac.id/gdl/view/13631
_version_ 1820736243968770048

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