🌱 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
-
Clone the repository
1
git clone https://github.com/adithyaanilkumar/ZeW-IT.git
-
Set up the hardware
- Assemble the waste segregation mechanism
- Connect sensors and actuators to Arduino
- Install the waste detection module
-
Configure the software
- Install required Python/C# dependencies
- Set up the AI model
- Configure the mobile applications
-
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