Waste Segregation using CNN
Samiksha Gudgude, Yash Gupta, Riddhi Halade, Harsh Laddha · Soft Computing Research Society eBooks · 2024
Waste Segregation and Disposal has become a crucial mission for sustainable socio-economic development and preserving the environment around us. Population in metropolitan and suburban areas has been increasing exponentially which has made this topic more critical since the past decade. Considering the unsurmountable pressure on current infrastructure put in place for waste segregation, upgradation and improvisation is a necessity .The integration of Machine Learning for this purpose will greatly help in addressing this purpose. Numerous Machine Learning techniques have been implemented to come up with an insightful solution . A CNN (Convolutional Neural Network) consists of n neurons which are interconnected with each other to form a network which provides us with an accurate classification model. This revolutionary technique of waste disposal is many folds faster than current waste segregation techniques which is mostly manual and time-consuming. The resultant output of these new systems will not only be useful in this step of segregation, it will also boost the process of recycling and make it more efficient and effective.