An automatic classification method for environment: Friendly waste segregation using deep learning
S. Sudha, M. Vidhyalakshmi, K. Pavithra, K Sangeetha, V. E. Swaathi · 2016
Recent enforcement of law by the Indian government for the welfare of sanitation workers has raised the need for an automated system in waste management. The existing garbage disposal system in India consists of unclassified waste collected from homes which are then segregated at a station manually. This segregation of solid waste done by manual labor can bring about many health hazards for the waste sorters in addition to being less efficient, time consuming and not completely feasible due to their large amount. In our paper, we have proposed an automated recognition system using Deep learning algorithm in Artificial Intelligence to classify objects as biodegradable and non-biodegradable, where the system once trained with an initial dataset, can identify objects real-time and classify them almost accurately. Biodegradable waste is used to generate power, enrich soil and act as food to animals. This process does not harm the earth making it valuable, ecologically safe and helps us to protect our environment, rich ecosystem and human inhabitants in future.