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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Bibliographic Details
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
Description
Summary: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.