🌱 ZeW-IT - Zero Waste Integrated Technology
An IoT-based automated waste segregation and management system that converts waste into rewards while promoting sustainability.

Overview

ZeW-IT (Zero Waste Integrated Technology) is an innovative IoT-based automated waste segregation and management system. It’s designed to tackle the growing waste management crisis by providing an intelligent, automated solution that not only segregates waste with 98% accuracy but also converts organic waste into compost and rewards users for responsible waste disposal.

🎯 The Problem

Current waste management systems face significant challenges:

  • No commercial-level automatic waste segregation
  • Inefficient waste collection processes
  • Lack of public engagement in waste management
  • Organic waste not being effectively recycled
  • No incentive system for proper waste disposal

💡 Our Solution

ZeW-IT is a comprehensive waste management ecosystem that includes:

  • Smart Waste Bins: Automated segregation of 6 waste types
  • AI-Powered Recognition: 98% accurate waste classification
  • Waste-to-Reward System: Converts waste into redeemable points
  • Organic Processing: On-site composting with seed pellet rewards
  • Smart Collection: Real-time bin monitoring and optimized collection routes
  • Mobile Integration: User and driver applications for better management

🛠️ System Architecture

Hardware Components

  • Waste Detection Module:
    • Camera for image recognition
    • Ultrasonic, capacitive, and inductive sensors
    • RFID card reader for user identification
  • Segregation Mechanism:
    • Hexagonal modular compartments
    • Stepper motor-driven rotation system
  • Processing Unit:
    • Biowaste composting chamber
    • Seed pellet compression module
    • Solar power system with grid connectivity

Software Stack

  • AI/ML Model: Deep Multiple Instance Learning with 3D ResNets
  • Backend: C# and Python
  • Mobile Apps: Built with PhoneGap
  • Cloud Platform: Real-time monitoring and data analytics

🚀 Key Features

Automated Waste Segregation

  • 6 dedicated compartments for different waste types
  • 98% accurate AI-based classification
  • Touchless operation with sensor activation

Smart Waste Processing

  • On-site organic waste composting
  • Seed pellet production from compost
  • Energy recovery from biochemical processes

User Engagement

  • Reward points system
  • Mobile app for waste tracking
  • Real-time bin status and navigation

Smart Collection

  • Real-time fill level monitoring
  • Optimized collection routes
  • Driver notification system

🎯 Use Cases

Urban Areas

  • Public spaces and parks
  • Residential complexes
  • Commercial establishments

Specialized Facilities

  • Educational institutions
  • Office complexes
  • Shopping malls
  • Industrial areas

Smart Cities

  • Municipal waste management
  • Public infrastructure
  • Green initiatives

🏗️ Technical Implementation

Waste Classification

  • Combines computer vision and sensor data
  • Deep learning model trained on diverse waste datasets
  • Continuous learning from user interactions

Mobile Applications

User App

  • Waste disposal tracking
  • Reward points management
  • Bin locator and navigation
  • Problem reporting

Driver App

  • Collection route optimization
  • Real-time bin status
  • Collection history and analytics

Energy Management

  • Solar-powered operation
  • Battery storage system
  • Grid connectivity for excess power

🌍 Environmental Impact

  • Reduces landfill waste through better segregation
  • Promotes recycling and composting
  • Lowers carbon footprint of waste collection
  • Encourages community participation in sustainability

🚀 Getting Started

Prerequisites

  • Basic understanding of IoT systems
  • Arduino IDE for hardware programming
  • Python and C# for backend development
  • Mobile development environment for apps

Installation

  1. Clone the repository

    1
    
    git clone https://github.com/adithyaanilkumar/ZeW-IT.git
    
  2. Set up the hardware

    • Assemble the waste segregation mechanism
    • Connect sensors and actuators to Arduino
    • Install the waste detection module
  3. Configure the software

    • Install required Python/C# dependencies
    • Set up the AI model
    • Configure the mobile applications
  4. Deploy the system

    • Install the smart bin in the target location
    • Connect to power and network
    • Calibrate sensors and AI model

Last modified on 2021-01-29