Smart and Lucrative Waste Segregation
Atharva Deshpande, Isha Birla, Sharvari Deshpande, Yashodhara V. Haribhakta, Deeplaxmi V. Niture · 2022
This paper builds upon an idea where a computer can independently detect and segregate garbage without any form of human intervention. This classification is based purely on the material of the item, and is independent of its shape and size. Through our project, we have attempted to introduce an automated waste segregation mechanism - controlled by modules written using Raspberry Pi - that could serve as an alternative to the laborious methods employed currently. The system focuses on the identification of waste that is commonly dumped on the streets, and attempts to segregate items into 12 distinct categories. At the same time, it is also cost-effective and requires minimal maintenance. Following classification; all biodegradable products can be utilized for making compost, and the rest can be recycled. The proposed system can be installed along the streets, and will prove to be beneficial in segregating waste at the site of disposal itself. It can also enable the adoption of an automated waste segregation approach at the municipal level; while ensuring that the process is faster, cleaner and more environment-friendly. Devising such a segregation system will definitely improve the waste management process in India.