The Waste Sorting Bin Conundrum: Image-Based Waste Sorting

By Anirban Banerjee, Siddhartha Haldar, Tanmay Jain, Ayush Raina

Recycling is critical for our society and environment - it lowers our carbon footprint, decreases the need for harvesting raw materials, saves energy, prevents pollution, and more. One of the most important steps in recycling is waste segregation: splitting general waste products into different categories to be disposed of, recycled, or composted. Waste segregation begins with the individual, but, given the large and varied amount of waste generated by the typical household, it can be difficult to determine how to properly dispose of a given waste item. With our project, we aimed to create a web app to easily, efficiently, and automatically identify and sort waste items by using neural networks to detect and classify waste items in images.

GitHub repo | Project reportVideo