Smart Waste Segregation is an IoT-based system that autonomously classifies waste into wet and dry categories. The system helps improve recycling rates, reduce landfill usage, and protect waste workers from hazardous exposure by minimizing manual sorting.
- Real-time classification using sensors (moisture, ultrasonic)
- Servo motor control to divert waste into correct bins
- Alerts/Notifications sent to municipal authorities when bins are full
- Web/UI dashboard or LCD display for monitoring
- Accuracy target: ≥ 90%
- Modular and scalable for deployment in smart cities
flowchart TD
A[Waste Input] --> B[Sensor Module]
B -->|Detect Wet/Dry| C[Arduino Controller]
C --> D{Decision Making}
D -->|Wet Waste| E[Bin 1: Wet]
D -->|Dry Waste| F[Bin 2: Dry]
C --> G[Servo Motor Control]
B --> H[Ultrasonic Sensor - Bin Full Detection]
H --> I[Notification System]
I --> J[Municipality / Dashboard]
This will render a flowchart-style block diagram directly on GitHub with clear modules:
- Waste Input
- Sensor Module
- Arduino Controller
- Servo Motor + Waste Bins
- Notification System
| Component | Role |
|---|---|
| Ultrasonic Sensor | Detects presence/distance of incoming waste |
| Moisture Sensor | Differentiates wet vs dry waste |
| Servo Motor | Mechanically diverts waste into proper bins |
| Arduino Uno | Central controller to read sensors & control actuators |
| LCD / UI | Displays system status and sensor readings |
| Communication | Sends bin-full alerts to the municipality |
- Connect hardware: sensors, servo, Arduino
- Upload Arduino firmware from
code/Segregator.ino - Calibrate sensors (moisture threshold, distance cutoffs)
- Power up and test with sample waste items
- Monitor readings on UI / LCD and verify sorting
- Nirosha K. — nirosha.kunduru@gmail.com
- Chandra Shekar K. — chandrashekar63707@gmail.com
- Vaishnavi S. — vaishnavisamkula@gmail.com
- Seshu Kumar K. — seshu478@gmail.com
- Ram Teja M. — ramteja@gmail.com
Department of AI, Vidya Jyothi Institute of Technology, Hyderabad
- M R Chitale et al. “Automated Smart Waste Segregation using IoT”, Journal of Physics: Conference Series, 2023
- Gayathri Rajakumaran et al. “Smart Waste Management: Waste Segregation using ML”, RAWCET 2022
- Aatmaj A. Salunke, “Waste-Seg-Net: Deep Learning for Waste Segregation”, 2023
Thank you for visiting! We welcome contributions, issues, and ideas to expand this system for greater impact.