Smart Waste Segregation using ML Techniques

Authors : Dhruv Nrupesh Patel, Chandrashekhar Dasari, Anand Chembarpu, Usha C S, Ashwin Sasi

Volume/Issue : Volume 4 - 2019, Issue 12 - December

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The rapid increase in amount and types of solid and hazardous waste due to constant economic growth, industrialisation and urbanisation, is becoming a growing problem for local and national governments to ensure effective and sustainable management of waste. We have come up with a solution to tackle this problem from a local level. We have focused our efforts to build a smart bin exclusively for household purposes The system has a plethora of sensors and machine learning model for an easier segregation of waste. Segregation on a large scale is difficult to manage with the minimum resources available. Therefore we chose to approach this problem from a local level to help solve it more efficiently. In the smart bin, we have a process of identifying non- biodegradable and biodegradable material with the help of sensors and ML models built for identifying based on this data. The biodegradable material is stored in its section of storage and the non- biodegradable material is further divided into landfill waste and recyclable waste.

Keywords : Smart Bin, IoT, Machine Learning.


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