Smart Trash Segregator Using deep learning on Embedded Platform-Major Project

STS is a Smart Trash Segregator. Here we are segregating dry waste into five major types sch as plastic, metal, glass, paper and cardboard. For the segregation object detection is used. It is a same topic from my minor project work. It is enhanced in major work by adding object detection instead of classification, robotic arm for picking up the trash and putting it into the corresponding bin. Bellow video will take you through the simulation setup introduction and demo.

The actual code for the Simulation setup is preset in the code file. Here is the shareable link for the code

https://drive.google.com/drive/folders/11X34CV9mWaOgX4wfbtBliRgX7YSVFmQJ?usp=sharing

This link is having following files. The same code is available on my Github project page https://github.com/NamrataMahakalkar/Smart-Trash-Segregator-using-deep-learning-on-embedded-platform

The Code descriptions are present in the bellow section.