Problem Statement

• Manual waste segregation is unsafe and inefficient
• Mixed waste reduces recycling efficiency
• No real-time bin monitoring → Overflow issues
• Fixed collection routes waste fuel & time
• Health risks for sanitation workers

Proposed Solution

We developed a system that combines:

• AI (CNN Model) – Classifies waste
• Automation (Servo Motors) – Segregates waste automatically
• IoT Sensors – Monitor bin level, gas, moisture, weight
• Cloud Dashboard – Real-time monitoring & alerts

How System Works (Flow)

• User drops waste
• Camera captures image
• CNN model classifies waste
• Servo motor diverts waste to correct bin
• Sensors monitor bin conditions
• Data sent to cloud
• Admin monitors via dashboard

Technologies Used

Key Features

• AI-based waste classification
• Automatic segregation
• Real-time fill-level monitoring
• Gas detection alerts
• Cloud dashboard with analytics
• Reduced manual effort

Testing Performed

• Unit Testing (AI, sensors, load cell)
• Integration Testing (AI + motor, sensors + cloud)
• System Testing (overflow alert, network failure, power recovery)

Future Scope

• More waste categories
• Larger dataset for better accuracy
• Smart city integration
• Mobile app
• Solar-powered bins
• Predictive analytics

Professional Profile & Repository

DEMO

Live Demonstration

Ready to see the system in action?

LAUNCH LIVE DASHBOARD (CLICK HERE)

Ensure START_ECOSORT.bat is running