Detection of Recyclable Product

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.