Title of article :
Design and Construction of Intelligent Tomato Picking Machine Vision
Author/Authors :
Kieh Badroudi Nezhad، Mohammad Ali نويسنده Department of Mechanical Engineering, Tehran University, Tehran, Iran , , Massah، Jafar نويسنده , , Ebrahimpour Komleh، Hossein نويسنده Department of Computer Engineering, Kashan University, Isfahan, Iran ,
Issue Information :
فصلنامه با شماره پیاپی 1 سال 2012
Abstract :
ABSTRACT
In this article, it has been tried to take care of identifying and picking tomato through image–processing method. Through boosting the vision of a computer to gain discipline and arrangement for picking tomato, though there is a chaos in an agriculture setting besides smart processing system is applied which is equipped with waveʹs length wireless camera used to analyze given targets and issue required commands, thus it is able to be administer to the project. The guideline accounts for an idea of adjustable and constant model employing a sort of robotic brain with high processing capability make the robot understand that when it identifies a target such as a tomato and then announces it. Furthermore it issues required commands to pick it by means of calculating tomato spatial coordinates with respect to robot distance. In short, the design includes three stages 1- the identification of presence and the absence of tomatoes and its conversion into electrical signals, 2- the processing of received signals from wireless camera and determining the direction and speed of the departure, 3- producing voltage and required current for conducting motors, sand and arm in a proper and precise manner.
Journal title :
Majlesi Journal of Mechatronic Systems
Journal title :
Majlesi Journal of Mechatronic Systems