DriMM AI Intelligent Sorting Redefines the Value and Future of Every Metal Scrap.
DriMM is a high-tech enterprise dedicated to AI metal scrap intelligent sorting equipment R&D.
With AI recognition models as the core, combined with multi-sensor fusion, metal scrap database, and cloud-based continuous upgrade technology, we provide global recycling enterprises with efficient, stable, and continuously evolving intelligent sorting solutions.
DriMM's technology and equipment are widely applicable in metal scrap sorting, recycled aluminum sorting, non-ferrous metal recycling and other scenarios, helping customers improve sorting purity, recovery value, and production efficiency.
We believe advanced AI sorting technology should not belong only to a few large enterprises. DriMM is committed to enabling more recycling enterprises to afford and effectively use high-end intelligent sorting equipment.
Focused on AI recognition and multi-sensor fusion, with our own metal scrap sample library and algorithm iteration system, turning cutting-edge research into reliable production output.
From multi-sensor fusion to edge inference, our fully self-developed algorithms continuously iterate, improving sorting accuracy with real-world conditions.
Validated repeatedly for aluminum, copper, zinc and various mixed materials, every new feature comes from real sorting scenarios.
Engineers on-site sampling, reviewing and providing feedback, bringing customer frontline issues directly to the next iteration.
Cloud-based data analysis with long-term data curves defining quality standards for reliable delivery.
Built AI recognition team, focusing on metal scrap sorting algorithm R&D.
Combined electromagnetic, AI and NIR recognition, covering multi-dimensional material features.
Modular equipment M2000/M3000/L3000 launched, max throughput up to 4 t/h.
Providing customers with sample evaluation, model training, sorting testing and full lifecycle services.
Contact us and send your material samples. We'll provide you with sorting reports and solution feasibility assessment.
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