Abstract:
Detection of recyclable products by artificial intelligence is an ongoing research area.
Recent techniques by advanced robotics are generated by fuzzy logic systems. Fuzzy
logic captures the uncertain systems perfectly. In this study, a fuzzy logic model has
been designed for the detection of recyclable products. Here shape, cleanliness and
materials are taken inputs for the Mamdani FIS system. These inputs are perfect for
detecting any unknown objects to recyclable or not. This study also investigates similar
other results. Mainly in this study, we have used some membership functions and with
this, we have made some rules to get our accuracy for the result. We have gathered
some information and analyzed it before assigning values to the membership function
in order to achieve the highest level of accuracy. Recycling is important for our nation
and the whole environment. It will help us to save our resources and money. By
recycling recyclable products we can also combat global warming, decrease pollution
and save the environment and wildlife. As a result of this research, it is now much easier
to determine whether a product is recyclable or not.