What is it about?
The amount of plastic waste is on the increase in many developing countries and many methods have been applied but this study used the physical properties of plastic waste for the sorting in order to overcome the manual sorting and chemical based methods.
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Why is it important?
It was observed that the model was capable of classifying plastic wastes using physical characteristics such as sound clips, recycling code, and plastic area of plastics. It was also observed that sound signal can be used in plastic waste identification.
Perspectives
Developing this model, we have been able to prove that sound clip, resin codes and area of the plastic waste can be used for plastic identification.
Kudirat Jimoh
Federal Polytechnic Ede
Read the Original
This page is a summary of: Intelligent Model for Manual Sorting of Plastic Wastes, International Journal of Computer Applications, September 2014, Foundation of Computer Science,
DOI: 10.5120/17699-8675.
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