The Future of Trash: Revolutionizing Waste Management with Intelligent Systems

Dr. K. Haridas*, 2. Mr. P. Ganesh** * Associate Prof. and Head, Department of Computer Applications Nallamuthu Gounder Mahalingam College, Pollachi, Tamil Nadu, India ** Assistant Professor, Department of Computer Science Sri Vidhya College of arts and science, Virudhunagar, Tamil Nadu, India

Authors

  • Dr. K. Haridas, M.C.A., M.Phil.,Ph,D. Author

Keywords:

- Biodegradable, Non Biodegradable, TensorFlow, Image Classification

Abstract

In  the  present  days,  the  public  are  providing  much waste in and around their houses. The waste can be categorized as  biodegradable  and  non  biodegradable.  The  biodegradable wastes are those degrade or break down naturally. Material such as  plants,  fruits,  vegetable,  animals,  flower  and  paper  are  fall under biodegradable waste that can be used to generate energy and  fertilizer  for  plants.  At  the  same  time  the  items  such  as rubber,  plastic,  chemicals  and  plastic  are  fall  under  non biodegradable waste that can be recycled to produce new items. At present the municipality has placed three different types of dustbin such as red, green and blue. The red dustbin is used to collect  household  wastage,  green  dustbin  is  to  collect  recycle material  and  blue  dustbin  for  degradable  material  and  dry garbage. The public needs to place the waste in corresponding dustbin which can’t be monitor. To overcome this problem the image  classification  algorithm  is  applied  using  TensorFlow  in executing  digital  image  processing  to  find  the  corresponding champers for waste collection. 

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Author Biography

  • Dr. K. Haridas, M.C.A., M.Phil.,Ph,D.

    Dr. K. Haridas, M.C.A., M.Phil.,Ph,D.,, Associate Prof. and Head, Department of Computer Applications Nallamuthu  Gounder  Mahalingam  College,  Pollachi,  Tamil Nadu, India 
    hari_das74@yahoo.com

References

⦁ Shamin N, Fathimal M, Raghavendran R, “Smart Garbage ⦁ Segregation⦁ HYPERLINK "https://www.amazon.in/Learning-AWS-responsive-applications-components/dp/178728106X/ref=sr_1_3?s=books⦁ &⦁ ie=UTF8⦁ &⦁ qid=1541671768⦁ &⦁ sr=1-3⦁ &⦁ keywords=aws"

⦁ Pardini K, Rodrigres J.P.C, Kozlov A, “IoT Based Solid Waste Management Solutions: A Survey”, Journal of Sensor and Actuator Networks, January 2019.

⦁ Zheng P, Xu S, Xindong, “Object Detection with Deep Learning: A Review”, IEEE Transactions on Neural Networks and Learning Systems, January 2019.

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Published

01-10-2024

How to Cite

The Future of Trash: Revolutionizing Waste Management with Intelligent Systems : Dr. K. Haridas*, 2. Mr. P. Ganesh** * Associate Prof. and Head, Department of Computer Applications Nallamuthu Gounder Mahalingam College, Pollachi, Tamil Nadu, India ** Assistant Professor, Department of Computer Science Sri Vidhya College of arts and science, Virudhunagar, Tamil Nadu, India . (2024). Academic Research Journal of Science and Technology (ARJST), 1(02), 21-31. https://publications.ngmc.ac.in/journal/index.php/arjst/article/view/15