Title: A Smart Trash-bin based on Automatic Recycling and Segregation of Household Waste (STARS-HW)


Authors:

Pravar Bhatt

bhattpravar@gmail.com
Department of Electrical Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Ajay Bharwaj

ajayb23@gmail.com
Department of Electrical Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Lakshya Sharma

lakshyasharma575@gmail.com
Department of Electrical Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Nishi Chouhan

nishichouhan2708@gmail.com
Department of Electrical Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Parineeta Bagra

pari06784@gmail.com
Department of Electrical Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Parul Verma

vermaparulv06@gmail.com
Department of Electrical Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA)

Pages: 47-53

DOI:

Abstract:

Sustainable growth is severely hampered by the rising amount of waste produced in urban areas. Intelligent waste management systems have been created as a solution to this issue. The purpose of this research study is to develop a Smart Trash-bin based on Automatic Recycling and Segregation of Household Waste (STARS-HW) using IoT-based technology. The suggested technique separates dry and wet waste automatically. The device uses ultrasonic sensors to measure the amount of garbage currently present inside the system and whether a user is nearby or not. After processing the collected data, an Arduino microcontroller opens the trashcan’s lid and lets the trash inside. The STARS-HW system promotes household waste recycling and encourages users to separate their waste. The suggested technology has undergone testing and validation in a domestic setting, and the outcomes demonstrate that the STARS- HW system is effective and efficient at classifying and separating household waste.

 

Keywords—Smart waste management, Arduino, Sensors, Recycling, Segregation, Household waste, Technology.

 

Keywords: