Plastecure - Smart Plastic Waste Management System

Project Overview

Plastecure is an innovative IoT-based plastic waste management system designed to automate and optimize the collection, segregation, and recycling of plastic waste. The project integrates hardware sensors, cloud-based analytics, and an interactive user interface to create a seamless solution for tackling plastic pollution effectively.

Project Motivation

Plastic pollution is one of the biggest environmental concerns of our time. Traditional waste management systems often lack efficiency in handling plastic waste, leading to improper disposal and environmental hazards. Plastecure was developed to address this issue by leveraging smart technology to streamline the recycling process and encourage responsible waste disposal practices.

Key Features & Implementation

1. IoT-Enabled Smart Segregation System

• Hardware: The project utilizes ESP32 microcontrollers to manage sensors and communicate data to the cloud.

• Sensors Used:

  • IR Sensors to detect the presence of plastic waste.
  • Weight Sensors to measure the quantity of collected plastic.
  • AI-Based Camera Module for identifying different types of plastic.

• Process:

  • When a user disposes of plastic waste, the system automatically scans and categorizes it.
  • The collected data is sent to the cloud for further processing and tracking.

2. Supabase Integration for Cloud Storage

• The project required a real-time, scalable backend, and Supabase was chosen to store and manage data efficiently.
• All sensor data and user interactions were logged into Supabase's PostgreSQL database, making the system fast and reliable.
• The ESP32 microcontroller was successfully connected to Supabase, ensuring seamless data synchronization.

3. User Dashboard for Monitoring & Analytics

• Built an ultra-modern, interactive UI for waste tracking.
• Dashboard Features:
  • Real-time waste tracking – Users could monitor the amount of plastic collected.
  • Segregation insights – Displays detailed reports on different plastic types.
  • Environmental Impact Metrics – Estimates the reduction in plastic waste pollution.
• Designed with responsive, futuristic UI elements, following a clean and intuitive layout.

4. Reward-Based System for Encouraging Plastic Recycling

• Users were encouraged to recycle plastic responsibly through an integrated reward system.
• Based on the amount of plastic disposed of, users earned points redeemable for discounts or incentives.
• The system aimed to promote active participation in waste management efforts.

5. Automated Collection & Notification System

• Once the bin reaches a pre-defined capacity, Plastecure sends automated notifications to waste collection teams.
• Integrated SMS/Email Alerts for timely pickups and optimized waste collection routes.

Challenges & How We Overcame Them

• IoT Connectivity Issues: Initially, there were latency issues in transmitting data from ESP32 to Supabase. We optimized the MQTT communication protocol and reduced data packet sizes for better efficiency.
• Sensor Calibration: Fine-tuning IR and weight sensors was challenging due to environmental interference. We implemented dynamic recalibration algorithms to improve accuracy.
• Ensuring Real-Time Updates: To achieve seamless real-time synchronization, we optimized Supabase queries and used WebSockets for instant dashboard updates.
• UI/UX Optimization: The initial dashboard design felt cluttered, so we redesigned it using a minimalist, data-driven approach with interactive visualization elements.

Project Outcome & Achievements

• Successfully deployed a working prototype with full integration of hardware, cloud, and UI components.
• Demonstrated real-time plastic waste segregation, monitoring, and incentivization.
• Won appreciation for its innovation in waste management during presentations.
• Proved that technology-driven solutions can significantly improve plastic recycling efficiency.

Tech Stack & Tools Used

• Hardware: ESP32, IR Sensors, Weight Sensors, AI-Based Camera Module
• Backend: Supabase (PostgreSQL), MQTT for IoT communication
• Frontend: HTML, CSS, JavaScript (for the interactive dashboard)
• Other Tools: Python (for AI-based plastic recognition), Firebase (for real-time notifications)

At Plastecure, we believe in using technology for environmental impact. Join us as we reshape the future of waste management with innovation and responsibility! 🌱♻️

Award 🏆: Excellence Award in collaborative Technical Project - 1st Place ( MBA + CSE Department )

Project Resources

Plastecure Repo