Technology | Key Features | Ideal Applications | Limitations |
---|---|---|---|
Density Separation | Gravity-based separation | PET/PVC sorting | Requires pre-cleaning |
Eddy Current | Magnetic field separation | Aluminum-plastic composites | Limited to conductive materials |
Trommel Screening | Rotary drum with mesh | Bulk sorting of large particles | Low precision (≥90% purity) |
Technology | Detection Method | Purity Achievable | Throughput (tons/hr) |
---|---|---|---|
Near-Infrared (NIR) | Spectral reflection | ≥99% for PET/PVC | 10–50 |
Hyperspectral | Multi-spectral imaging | Detects 0.1mm contaminants | 5–20 |
Laser-Induced Breakdown Spectroscopy (LIBS) | Elemental analysis | Metal-plastic separation | 3–10 |
Technology | Algorithm | Key Feature | ROI Highlight |
---|---|---|---|
YOLOv9 + CNN | Real-time object detection | 30% faster sorting | 20% lower labor costs |
Reinforcement Learning | Adaptive sorting paths | Self-optimizes for new materials | Energy savings: 15% |
Region | Growth Driver | Top Applications | Market Size (USD Billion) |
---|---|---|---|
Asia-Pacific | EV battery recycling boom | Lithium-ion battery plastics | 8.5 |
Europe | EU Circular Economy Policy | PET bottle sorting | 6.8 |
North America | SB 1383 (California) | Construction waste plastics | 5.2 |
Tier | Price Range (USD/Unit) | Key Features | Target Clients |
---|---|---|---|
Entry-Level | 5,000–20,000 | Manual + basic optical | SMEs in developing regions |
Mid-Tier | 20,000–100,000 | NIR + AI sorting | Mid-sized recyclers |
Premium | 100,000–500,000 | Multi-sensor AI + IoT | Fortune 500 companies |
Cost Component | Entry-Level (%) | Premium (%) | Savings Opportunity |
---|---|---|---|
Energy | 15–20 | 8–12 | Solar-powered systems |
Maintenance | 10–15 | 5–8 | Predictive maintenance |
Labor | 20–30 | 2–5 | Automated workflows |
Equipment Type | Payback Period (Years) | Key Metrics |
---|---|---|
Mechanical | 2–3 | 15% annual ROI |
Optical | 1.5–2 | 25% ROI via purity gains |
AI-Driven | 1–1.5 | 35% ROI (scalability) |