DriMM AI metal scrap sorting machine integrates multi-modal composite sensing technology and deep learning algorithms to achieve precise identification and high-speed sorting of various metal scraps under high-speed conveyor conditions.
The equipment is widely applicable for scrap impurity removal, aluminum grade classification, non-ferrous metal (copper/zinc/aluminum) separation and other scenarios. Modular design supports M2000/M3000/L3000 models to meet different material sizes and throughput requirements.
With multi-sensor fusion and AI-specific recognition models, the equipment achieves high-purity, high-consistency sorting results in complex conditions, with remote model upgrades for continuous capability improvement.
The following are current sorting material examples, which can be modified or adjusted according to specific customer requirements.
High-purity extraction from aluminum impurities
Copper/zinc/brass separation
Aluminum grade classification
Customizable per requirements
| Model | M2000 | M3000 | L3000 |
|---|---|---|---|
| Material Size [mm] | 18–40 | >40 | |
| Dimensions L/W/H [mm] | 5500/1800/2200 | 5500/2300/2200 | 5500/2600/2200 |
| Max Throughput [t/h] | 2 | 3 | 4 |
| Power [kW] | 4.5 | 5.5 | 7.5 |
| Weight [kg] | 2500 | 3700 | 4300 |
| Sorting Method | Air Nozzle · Robotic Arm | ||
* Specifications may vary in actual applications, refer to specific customer requirements.
Built around real scrap conditions and recycling value, balancing recognition accuracy, operational stability and production line efficiency.
AI recognition technology for precise classification of complex metal scraps.
Multi-sensor information fusion improves sorting stability and accuracy.
Suitable for aluminum scraps, mixed metals, zinc-copper materials, non-ferrous metals and more.
Improve product purity and metal recovery value for better economic returns.
Trained on real scrap metal data and application scenarios for complex material variations.
Maintains stable sorting performance against different shapes, colors, surfaces and impurities.
Digital control system supports sorting program configuration, equipment monitoring and parameter adjustment.
Modular equipment design for easy integration with existing recycling production lines.
High-speed precision ejection system for continuous, stable, efficient sorting.
Structure designed for easy maintenance, reducing downtime and maintenance costs.
AI models continuously optimize and upgrade to handle more material types in the future.
Significantly reduces reliance on manual sorting, lowering labor costs and improving overall efficiency.
Multi-sensor fusion recognition covering multi-dimensional features for precise identification of different metal materials and impurity types.
AI algorithm control and dedicated models achieve exceptional high-purity, high-consistency sorting results.
Designed for continuous production lines with high-speed material throughput and stable sorting output.
Supports model iteration and data optimization, continuously upgrading recognition capabilities for more sorting scenarios.
Send us your material samples to get a customized sorting solution and technical parameter recommendations.
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