WALL-E | Devpost

WALL-E
Hardware Base Mount
Compartment System

Problem Statement

How can we revolutionize waste management and recycling processes with a high-tech, user-friendly solution, reducing environmental impact and promoting sustainability?

In the current waste management landscape, sorting and recycling are often inefficient and labor-intensive. Many recyclable materials end up in landfills due to improper segregation, leading to environmental degradation and resource wastage. The challenge lies in developing a technology that not only sorts waste effectively but also educates and engages users in sorting their trash.

Every day people like you and us lack the intuition of advanced technology to classify and sort waste accurately. The goal is to create a system that uses cutting-edge technology to revolutionize how we handle waste, making the process more efficient, accurate, and interactive through our friendly robot.

Our Solution

Introducing WALL-E, a groundbreaking waste classifier and manager robot that leverages machine learning algorithms and Arduino electronic components to transform recycling practices. This solution involves developing a smart robotic system that intelligently classifies and sorts waste into appropriate compartments all while minimizing operation latency. Our WALL-E robot offers an interactive experience through its fun design and LCD screen outputs.

The final setup of WALL-E involves an Arduino with a wifi module hosting a web server. This server is designed to handle client requests, integrating seamlessly with our machine-learning model.

When an item is presented to WALL-E, the model analyzes the image from the robot's camera and determines the item's category. Based on this classification, a request is sent to the Arduino web server, which then activates the servo motors to present the correct compartment for the user to dispose of their item. This system ensures a smooth and automated process, from waste recognition to appropriate disposal.

Intelligent Waste Classification

At the heart of WALL-E is a machine learning model trained to identify and classify various types of waste materials into different categories such as "Cardboard", "Metal", "Plastic", "Glass", "Trash", etc. Given the item's classification, we accurately rotate the correct trash compartment in front of the user. The use of powerful servo motors and Arduino technology ensures precise and efficient sorting, enhancing the overall effectiveness of the recycling process all while maintaining structural integrity.

User-Friendly Interaction

WALL-E features an interactive interface that not only performs the sorting task but also educates users about recycling practices. The robot’s design is user-friendly and engaging, encouraging more people to participate actively in recycling. Users can interact with WALL-E, learning about the different types of recyclables.