• Shravani Konga
• Prem Chandra Reddy Pinreddy
• Alekhya Gaddam
• Dr. K.H Vijayakumari
• Dr.Rama Krishna Kolikipogu

Urbanization and population growth are causing 70% garbage creation annually. Due to this, the modern world faces lots of challenges. Being one among them, Waste Management has become a matter of great concern due to the lack of a proper disposal system. Well organized garbage management can contribute to the country’s health and wealth. In this order, we propose a smart solution which we termed as Automatic Waste Sorter. In this project, our goal is to provide waste segregation and reduce human involvement. When sorting and moving waste, extreme care must be taken to ensure the least possible risk to the environment and public health. Proper segregation of waste material makes recycling more feasible and effective. A deep learning algorithm embedded into a microprocessor with several sensors attached to it, can assist the proposed autonomous device in identifying the living organisms and spare their lives during garbage collection. A special mechanism can then be used to place the dissolvable and non-dissolvable garbage separately. The method has the potential to increase recycling rates, decrease pollution, and conserve resources. The proposed autonomous device constituted with IOT, deep learning and machine learning can significantly improve the environment.

Garbage, Robotic Arm, Deep Learning, Sensors, Mask-RCNN, Mobile Net

"Garbage Collection and Sorting : A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.h248-h255, January-2024, Available :http://www.jetir.org/papers/JETIR2401725.pdf

"Garbage Collection and Sorting : A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. pph248-h255, January-2024, Available at : http://www.jetir.org/papers/JETIR2401725.pdf