Authors :
Sujan Banerjee; Soumen Ghosh; Aritra Bera; Riju Das; Sourav Pal
Volume/Issue :
Volume 10 - 2025, Issue 8 - August
Google Scholar :
https://tinyurl.com/bdzdsu6k
Scribd :
https://tinyurl.com/4thcsd8u
DOI :
https://doi.org/10.38124/ijisrt/25aug021
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
The increasing rate of urbanization has significantly contributed to the generation of mixed waste, posing
serious environmental and health challenges. Manual segregation is inefficient, labor-intensive, and often hazardous. This
paper presents the design and development of a smart dustbin system that automatically classifies waste into wet and dry
categories using embedded sensors and microcontroller technology. The proposed system utilizes an Arduino UNO,
ultrasonic sensor, soil moisture sensor, servo motor, and relay module to detect waste type and direct it to the appropriate
compartment. The implementation aims to assist in effective waste management and promote a cleaner environment
through automation.
Keywords :
Smart Dustbin, Waste Segregation, Arduino UNO, Wet and Dry Waste, Soil Moisture Sensor, Automation.
References :
- Sivakumar, Narendran, Aditya Raj Kunwar, Sandeep Kumar Patel, Santosh Kumar, and S. Pushpa Mala. "Design and development of an automatic clustered, assorted trash segregation system." In 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), pp. 409-413. IEEE, 2016.
- Bharadwaj, B., M. Kumudha, and G. Chaithra. "Automation of Smart waste management using IoT to support “Swachh Bharat Abhiyan”-a practical approach." In 2017 2nd International Conference on Computing and Communications Technologies (ICCCT), pp. 318-320. IEEE, 2017.
- Jayson, Manisha, and Sanket Hiremath. "SmartBin-Automatic waste segregation and collection." In 2018 Second international conference on advances in electronics, computers and communications (ICAECC), pp. 1-4. IEEE, 2018.
- Pereira, Wesley, Saurabh Parulekar, Sopan Phaltankar, and Vijaya Kamble. "Smart bin (waste segregation and optimisation)." In 2019 Amity international conference on artificial intelligence (AICAI), pp. 274-279. IEEE, 2019.
- Sharma, Pratyusha, Praveen Kumar, Ritika Nigam, and Kushagra Singh. "Automatic waste segregating and self sanitizing dustbin." In 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), pp. 368-372. IEEE, 2020.
- Goel, Mrigank, Amogh Harsh Goyal, Preeti Dhiman, Vikas Deep, Purushottam Sharma, and Vinod Kumar Shukla. "Smart garbage segregator and IoT based waste collection system." In 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), pp. 149-153. IEEE, 2021.
- Shreeshayana, R., Manjunath V. Gudur, L. Niranjan, and B. Sreekantha. "Ergonomic automated dry and wet waste segregation and compost production for innovative waste management." In 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), pp. 1-6. IEEE, 2022
- Muneeswaran, V., P. Nagaraj, A. Akhila, L. Sudeepthi, B. Venkateswararao, and B. Vamsi Krishna. "Smart segregation of waste and automatic monitoring system." In 2023 International Conference on Computer Communication and Informatics (ICCCI), pp. 1-6. IEEE, 2023.
The increasing rate of urbanization has significantly contributed to the generation of mixed waste, posing
serious environmental and health challenges. Manual segregation is inefficient, labor-intensive, and often hazardous. This
paper presents the design and development of a smart dustbin system that automatically classifies waste into wet and dry
categories using embedded sensors and microcontroller technology. The proposed system utilizes an Arduino UNO,
ultrasonic sensor, soil moisture sensor, servo motor, and relay module to detect waste type and direct it to the appropriate
compartment. The implementation aims to assist in effective waste management and promote a cleaner environment
through automation.
Keywords :
Smart Dustbin, Waste Segregation, Arduino UNO, Wet and Dry Waste, Soil Moisture Sensor, Automation.