Authors : Dhruv Nrupesh Patel, Chandrashekhar Dasari, Anand Chembarpu, Usha C S, Ashwin Sasi
Volume/Issue : Volume 4 - 2019, Issue 12 - December
Google Scholar : https://goo.gl/DF9R4u
Scribd : https://bit.ly/2Nq67x5
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.