Science fair - Auto-sorting trashcan This project is an AI-driven waste classification and sorting system using computer vision and Raspberry Pi. It detects objects inside a trash can, classifies them into Recycling, Compost, or Landfill, and automatically sorts them using servo motors.
✅ Object Detection – Uses a Raspberry Pi camera to detect if an object is inside the trash can ✅ AI Classification – A TensorFlow Lite model classifies the object as Recycling, Compost, or Landfill ✅ Automated Sorting – Servo motors move the object to the correct bin ✅ Edge Computing – Runs efficiently on a Raspberry Pi
🛠️ Hardware Requirements Raspberry Pi (4/5 recommended) Pi Camera Module Servo Motors (x3) for sorting mechanism NIR Sensor (Optional) for material detection Weight & Moisture Sensors (Optional)