SORT-E
Literature
To define the problem and the solutions proposed by others, our team conducted a literature review process.
01
Source separation in municipal solid waste management: Practical means to its success in Asian cities
This paper talked about the value of policies in adopting effective recycling in cities; Asian cities are cited as some of the most successful implementors of these policies. One of the key points was that waste management must begin at the source rather than once it is at its final end-of-use location. This requires redefining waste as a resource using the principles of reduce, reuse, and recycle. Strong domestic recycling systems must be developed.
02
New survey discovers why most people don’t recycle
This article states that despite overwhelming support for recycling, few people do it. A survey shows that one of the key reasons people don't recycle in the US is a lack of understanding about recyclable items. The survey suggests that consistent recycling programs and clear standards could reduce confusion and waste.
03
Robots that can sort recycling
This article talked about RoCycle, a trash-sorting robot developed by MIT. A key takeaway was the lack of human-robot interactivity by RoCycle which failed to address the issue of the knowledge gap about recycling in the general population.
04
Applying machine learning approach in recycling
Machine learning and AI can be used to better separate garbage, such as in situations where different materials are mixed together. The purpose of this academic study is to go over recent developments in machine learning algorithms for recycling.