Published Paper Details:

In recent years segregation of waste is the major challenge faced by all metropolitan cities worldwide, this is due to the rapid increase in population, high rate of industrialization and urbanization. There is lack of awareness and knowledge about segregation of waste at the domestic level. The major problems faced due to improper waste segregation include serious health risks to human kind, environmental issues, unhygienic disposal causing serious impacts on health issues and severe environmental degradation. These drawbacks can be overcome by proper waste segregation. The main objective of this paper is effective and efficient methods of waste segregation based on internet of things with their nature of composition i.e. metal, wet, plastic and dry. The waste is segregated accordingly in their respective segments of the dustbin. In this paper, we are using Intel Galileo which makes the working of the system to be smooth and convenient making the design to be less complicated. Each of these wastes are detected by the respective sensors and discarded into the dustbins assigned to them wherein these wastes can be taken for recycling or reusing directly. The most important feature of this work is that, it is not only cost efficient but also compact with a simpler design thereby making the IOT based automated solid waste segregation system. As per the analysis of accuracy of automated solid waste segregation is 80% and the time taken by the system to identify the waste is 2 sec. This system can provides the reduction of manpower by 90%, reduces the pollution and health issues. It can also increases the 70% of the economic condition due to recycling of plastic.