XRAY selector
1. General Description
Maximum flow stability, maximum economic yield. The 1,200 mm double-belt configuration of the Glass Series 1200 ensures maximum material-flow stability, eliminating the rolling and bouncing typically associated with single-belt solutions.
Greater stability provides more effective scanning time for each fragment and improves the precision of the ejection process, helping to produce a purer and more commercially valuable final fraction.
Operating principle
The material is fed through a double vibratory distributor and moves in a constant flow in front of the optical scanning system. The cameras identify the colour, shape and material of each fragment in real time, distinguishing compliant glass from contaminants such as ceramics, stone, porcelain and metals. A compressed-air system ejects the identified contaminants with millimetric precision.
2. Technical Specifications
| Effective working width | 1,200 mm |
|---|---|
| Configuration | Double level / Double belt (Double Layer) |
| Throughput | 12.0-20.0 t/h |
| Sorting accuracy / Purity | ≥ 96% on fractions with initial contamination < 2% |
| Installed electrical power | 2.2 kW |
| Power supply | 220 V / 50 Hz |
| Compressed-air pressure | 0.4-0.8 MPa |
| Compressed-air consumption | 2.5-4.4 m³/min |
| Overall dimensions (L x W x H) | 3,270 x 2,316 x 1,927 mm |
| Machine weight | 1,680 kg |
| Operating conditions | Suitable for dry and wet glass |
3. Key Strengths and Competitive Advantages
- Simultaneous three-way sorting: colour, shape and material recognition through Quantum Recognition in a single pass.
- Removal of critical contaminants: effective separation of ceramics, stone, porcelain (CSP) and metals.
- Self-learning AI: continuous adaptation to the incoming material mix without machine downtime.
- Industry 4.0 connectivity: prepared for remote assistance, remote diagnostics and cloud updates.
4. Applications
Stokkermill optical sorting solutions can be used across the main industrial recycling sectors:
- Glass: colour- and size-based sorting of clean material streams.
- Plastics: sensor-based polymer sorting for high-quality plastics recycling.
- Metals: high-precision sorting for sustainable metal recovery.
- Paper and cardboard: precision sorting for the recovery of high-quality paper.
- Electronic waste: in-line separation of electronic components.
- Biomass and organic material: optical sorting for clean biodegradable streams.
- Refuse-derived fuel: efficient sorting for sustainable refuse-derived fuel production.
- Wood: precision sorting for the recovery of recycled wood.
- Textiles: efficient fibre sorting for circular textile production.
5. Separation Matrix - Performance
| Input material | Sorting result | Purity rate |
|---|---|---|
| Mixed glass | Glass sorted by colour | > 98% |
| Mixed plastics (PET / HDPE / PP) | Polymers sorted by type | ≥ 96% |
| Mixed scrap containing metals | Recovered and separated metals | ≥ 97% |
| Mixed paper and cardboard | Sorted cellulose fraction | ≥ 95% |
| Mixed WEEE / E-scrap | Isolated electronic components | ≥ 95% |
| Mixed organic fraction | Clean sorted biomass | ≥ 95% |
| Mixed non-recyclable waste | Quality SRF / RDF | ≥ 95% |
| Mixed recovered wood | Wood sorted for reuse | ≥ 96% |
| Mixed post-consumer textiles | Sorted textile fibres | ≥ 95% |
6. Technology and Process Integration
In addition to optical sorting, the Glass Series 1200 integrates functions designed to simplify day-to-day operation and support plant maintenance, control and optimisation processes.
- Cyber-physical system: the physical machine is supported by a digital model that reproduces its behaviour during the production process. This integration makes it possible to predict performance, identify potential issues in advance and optimise operation using data collected in the field.
- Remote maintenance, remote diagnostics and remote control: the technical service can monitor the machine status, identify the cause of a fault and intervene remotely, reducing plant downtime and the need for on-site visits.
- "Capture" function: after a sample of material is fed through the infeed chute, the operator selects the acceptable material and the reject directly on the screen. The machine then acquires the parameters required to begin operation without complex manual calibration.
7. UHD AI Deep Learning 3.0
The artificial intelligence technology collects and processes large volumes of data to recognise patterns and generate increasingly accurate predictions. Deep Learning uses multi-layer neural networks: as more data is analysed, the system learns and optimises the sorting process.
- 01 - Data collection: following the initial sorting cycles, thousands of high-definition images of foreign objects and defects are collected to build a database specifically tailored to the plant.
- 02 - Calibration: the Deep Learning platform automatically calibrates the machine using the collected images, without complex manual intervention.
- 03 - Solution generation: the system autonomously proposes and applies the most effective sorting solutions using the artificial intelligence integrated into the machine.
The technical and performance data shown are indicative, measured under standard operating conditions, and may vary depending on the actual composition of the input material. Please refer to the relevant commercial quotation for definitive contractual conditions.
