Video based Object Recognition for Conveyor Line Automation

Name: Video based Object Recognition for Conveyor Line Automation
Brand: LAP Lambert Academic Publishing
SKU: 9783846592458
Price: 16479 HUF
Availability: InStock

Object Recognition

Szerző: Ahmet Emre Gokus, Hasan Demirel

Nyelv:

Kötés: Puha kötésű

Kiadó: LAP Lambert Academic Publishing

Elérhetőség: Beszállítói készleten

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The aim of this book is to introduce a vision based object recognition system for automation of asse...

Információk a könyvről

Szerző

Ahmet Emre Gokus, Hasan Demirel

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2011

oldal

EAN

9783846592458

Enbook ID

06946865

Kiadó

LAP Lambert Academic Publishing

Súly

119

Méretek

150 x 220 x 4

Teljes leírás

The aim of this book is to introduce a vision based object recognition system for automation of assembly line. The vision system is designed to recognize the objects, which are placed on the assembly line and also to identify the exact position for tracking each particular object, in order to lead the robot manipulator system for further processing. The method consists of an object shape discrimination analysis methodology using image processing techniques for the video frames acquired through the CCD camera over the conveyor line. The recognition of objects have been tested and evaluated using three different feature extraction methods on twenty objects for model conveyer line. These methods utilize geometric features, two dimensional moments and one dimensional scaled normalizing moments. The one dimensional scaled normalized moment method has been reported to be the best one for the object recognition. The neural network classifier is constructed for the features using the theoretical principles of artificial neural networks (ANN). Furthermore a step-by-step methodology for designing a neural network structure for the proposed system has been introduced.

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Video based Object Recognition for Conveyor Line Automation

Object Recognition

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Teljes leírás

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