Our Neural Sorter AI integrates directly into recycling facility conveyor systems — classifying 89 material types at 3 m/s with 98% accuracy, delivering 95%+ product purity for maximum commodity value.
WasteParrot's Neural Sorter is a deep-learning model trained on 4 billion waste images. It integrates via camera units mounted above existing conveyor belts — no facility redesign required.
The system identifies material types and sends picking coordinates to robotic arms with sub-100ms latency, enabling 98% count accuracy even at conveyor speeds of 3 m/s.
Installation in 2 days. No conveyor redesign. Immediate accuracy improvement from day one.