Abstract

Segregation of wastes and its management are difficult task for sustainable green environment. A case assumed here is on Chennai, high density population in Tamilnadu, India. In chennai, the household wastes are collected in terms of tonnes per month. And the separation of this waste for recycling are challenging task. This project focuses on separation of wastes such as paper, plastic and metals through the developed system is with the capable of identifying materials using various sensors such as proximity, inductive and capacitive sensors. Integration of these sensors into PLC, Arduino can be used to operate Robotic arm in systematic procedure. This integrated mechanisms is also providing information through an IoT establishment with sensors. The system is enabled to read, collect and transmit huge volume of data over the internet and also segregation through robot. The observed experimental results showed the system developed through this procedure is helpful to achieve about 85% accuracy for the categorization of selective different kinds of waste. Results of this project work can be used to routine segregation work and reduces human involvement during repetitive task. Data received through sensors have been helpful to operate the Robotic arm in time. Usage of this robotic arm has been presented in this project work.

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