An automatic classification method for environment: Friendly waste segregation using deep learning

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.

[1]  Pisit Phokharatkul,et al.  Object recognition using characteristic component and genetic algorithms , 2001, Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239).

[2]  Jürgen Schmidhuber,et al.  Deep learning in neural networks: An overview , 2014, Neural Networks.

[3]  Rajya Sabha,et al.  E-Waste in India , 2015 .

[4]  Yoshua Bengio,et al.  Deep Learning of Representations: Looking Forward , 2013, SLSP.

[5]  Dumitru Erhan,et al.  Deep Neural Networks for Object Detection , 2013, NIPS.

[6]  M. S. Suma,et al.  Automated Waste Segregator , 2014, 2014 Texas Instruments India Educators' Conference (TIIEC).

[7]  Anil K. Jain,et al.  Artificial Neural Networks: A Tutorial , 1996, Computer.

[8]  Garrison W. Cottrell,et al.  Basic Level Categorization Facilitates Visual Object Recognition , 2015, ArXiv.

[9]  Ender Özcan,et al.  Shape recognition using genetic algorithms , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

[10]  Majida Ali Abed,et al.  Pattern recognition Using Genetic Algorithm , 2010 .

[11]  Juyang Weng,et al.  Genetic algorithms for object recognition in a complex scene , 1995, Proceedings., International Conference on Image Processing.

[12]  Nana Rachmana Syambas.  An Approach for Predicting the Shape and Size of a Buried Basic Object on Surface Ground Penetrating Radar System , 2012 .

[13]  Vijay S. Gulhane,et al.  Application of Genetic Algorithm for Image Enhancement and Segmentation. , 2013 .

[14]  Aayushi Gupta,et al.  Microcontroller Based Automatic Waste Segregator , 2015 .

[15]  Muhammad Marzuq,et al.  Facial feature extraction , 2009 .