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Automatic Separation of Objects Using Intelligent Mechanism InteMech

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Omer Mohammed Ali 980211585. Masoud Abdullah Moh'd 980715175. Sohail Khalid AL-Awadhi 980710590 ... This part is very important because its deal with the robot ... – PowerPoint PPT presentation

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Title: Automatic Separation of Objects Using Intelligent Mechanism InteMech


1
Automatic Separation of Objects Using Intelligent
Mechanism (InteMech)
United Arab Emirates University College of
Engineering
  • Omer Mohammed Ali 980211585
  • Masoud Abdullah Mohd 980715175
  • Sohail Khalid AL-Awadhi 980710590
  • Hamad Abdullah Rashid 970710100

Advisor Dr. A.M.M Sharif Ullah
2
Introduction
  • InteMech main system.
  • The sub-systems
  • Vision (InteMech eye).
  • ANN (InteMech Brain).
  • Mechanical system.
  • Economical Impact .

3
(No Transcript)
4
InteMech main system
  • What makes InteMech system intelligent?
  • The sensing ability.
  • The decision making ability.
  • The action ability.

5
Robot Vision
  • This part is very important because its deal with
    the robot vision and how it can interact with the
    environment.

6
Robot Vision
  • Software
  • Vision For MatLab (VFM) Toolbox
  • Image Processing Toolbox

7
InteMech Vision
  • Hardware
  • Web Camera

A normal web camera was selected to capture a
picture from the environment, because there are
no need for high quality pictures
Web Camera
8
InteMech Vision
1st version of image processing system
9
InteMech Vision
2nd version of image processing system
The image before capturing
The image after capturing
10
InteMech Vision
letterA 0 0 0 0 1 0 0 0 0 ...
0 0 0 1 0 1 0 0 0 ... 0 0 1
0 0 0 1 0 0 ... 0 0 1 0 0 0 1 0
0 ... 0 1 0 0 0 0 0 1 0 ...
0 1 0 0 0 0 0 1 0 ...
1 0 0 0 0 0 0 0 1 ... 1 1 1
1 1 1 1 1 1 ... 1 0 0 0 0 0 0 0
1 ... 1 0 0 0 0 0 0 0 1 ...
1 0 0 0 0 0 0 0 1'
letterA 0 0 1 0 0 ... 0 1 0 1
0 ... 0 1 0 1 0 ...
1 0 0 0 1 ... 1 1 1 1 1 ...
1 0 0 0 1 ... 1 0 0 0
1 '
7X5
11X9
11
Artificial Neural Network
  • What is ANN?

12
Artificial Neural Network
  • Learning Method (Back-propagation)
  • Imply a backward pass of error to each internal
    node within the network.
  • Calculate weight gradients for that node.
  • propagating forward the activations and
    propagating backward the errors.
  • The Back-propagation Equation

13
Artificial Neural Network v.1
Line 1
14
Artificial Neural Network v.1
Output 1
Letter 1
Output 2
Letter 2
Output 3
Letter 3
15
Artificial Neural Network v.2
26 characters recognition ANN
16
Artificial Neural Network v.2
17
Artificial Neural Network v.2
18
Artificial Neural Network v.3
USA/UAE recognition ANN
19
Mechanical System Control
20
Mechanical System
  • Hardware
  • Stepper Motor.
  • Lead Screw.
  • Software
  • C language

Stepper Motor
Lead Screw
21
Mechanical System Control
  • Open loop control system

By substituting for P 3mm and ? 1.8o.
(x in mm)
A angle of leadscrew rotation, degrees np number
of pulses received by the motor x relative x-axis
position relative to the starting position, mm
(in) p pitch of the leadscrew, mm/rev (in/rev)
22
Mechanical System Control
23
Mechanical System Control
Mechanical system test
24
Economical Impact
Cost
25
Economical Impact
  • This project is using low cost equipment to do
    sophisticated technology.
  • Applicable in many industrial applications.
  • it would reduce the labors cost because the
    system would replace the human labor by an
    intelligent mechanism

26
Economical Impact
27
Conclusion
  • Improve the real time response by using UNIX
    operation system.
  • Connected and test the system with different type
    of separation mechanism.
  • Improve the Architecture of the ANN to recognize
    more different type of patterns

28
THANK YOU
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