Artificial intelligent with artificial neuron method in doing image processing

Matlab Base Image Processing by Using Artificial Neuron Network for Robot Sorting System.

Dr Ahmad Radzlan Yusoff^1,a and Madan Varmma A/L Suparmaniam^1,b

a Clement Lai Tun Hao clementlai90@hotmail.com Bachelor of Mechatronic Engineering

¹Faculty of Manufacturing Engineering, University Malaysia Pahang, 26600 Pekan, Malaysia

ABSTRACT

In the globalization, robotic arm is widely used in the industry such as automotive manufacture industry, food industry, etc. Mostly, it perform the work in which beyond human strength and it can control manually or programmed to do a limited task with the help of sensors. In additional, the implementation of camera and filter by image processing to do data analysis and artificial intelligent neuron network to improve the computational efficiency. The machine will be taught to adapt the mechanisms that enable computer to learn from experience, learn by example and learn by analogy. The target of this method will be implement in rubbish sorting industries by robotic arm. The example data and picture files will store in the data base and divided into category. From the camera system, the picture will be captured and do analysis by artificial neuron network to find the images. In result, the output data will be more accurate and precise.

1.0  INTRODUCTION

In the present day, wastes or rubbishes are getting more and more. It also generate pollutions and other hazards to the global environment, besides that it also created a lot of waste lands for rubbish storing. By recycling of waste materials, it will save a lot of energy, resources and raw materials.

Overall waste composition in Malaysia is dominated by municipal solid waste (64%), followed by industrial waste (25%), commercial waste (8%) and 3% consists of construction wate (EU-SWMC, 2009). About 80% of municipal solid waste are recyclables, which are disposed at the landfills (MHLG, 2006) and under the category of municipal solid wastes, the contribution of household waste is the highest among sources consisting of recyclables at most 70 – 80% of total solid waste composition as found placed in the landfills (Sumiani et al., 2009). Household area is one of the main primary sources of municipal solid waste in Malaysia, besides institutional and commercial waste (Tariq and Mostafizur, 2007).

2.0 PROBLEM STATEMENT

            To increase the accuracy of the data output by implement an image processing to solve the problem of the human eye sign and man power issues. Besides that, to recycle the unwanted rubbish and promote green conception. By applying the artificial intelligent method on robotic system in doing rubbish sorting.

3.0 OBJECTIVE

1.      By using Matlab Artificial Neuron Network on the robotic system.

2.      Using image processing (OpenCV)  method integrate with Artificial Neuron Network.

3.      Create an Artificial Neuron Network on rubbish sorting robotic arm.

4.0 METHODOLOGY

            Using MATLAB software (R2010a) to generate the Artificial Neuron Network method. By the artificial neuron network toolbox, it can generate a regression graph, best validation performance graph and training state graph.

            Secondly, by using the OPENCV library in MATLAB, to analysis and generate the image processing methods. Implement one of the method in OPENCV, Speed Up Robust Features (SURF) to do the processing of image processing by pictures identification.