Donar DE-XRT Pro AI-Driven Sorting System

Mining operations present a unique sorting challenge: valuable ore is often deeply embedded within overwhelming volumes of waste rock. Processing this waste through energy-intensive grinding, water-heavy beneficiation, and reagent-dependent circuits incurs such high costs that it can significantly compress the profit margins of even high-grade deposits. For mining enterprises worldwide, the ability to efficiently identify and reject waste rock early in the process flow, based on the material's inherent atomic density and chemical composition rather than surface appearance alone, is the key to achieving high-grade ore pre-concentration before the material enters downstream processing. This dramatically reduces the volume of material sent to grinding and beneficiation circuits, transforming low-margin mines into profitable and sustainable producers.

The Donar DE-XRT Pro is an intelligent machine-vision sorting system tailored for this exact scenario. It employs a deep fusion of dual-energy X-ray transmission (DE-XRT) technology and high-resolution RGB (HR-RGB) VIS imaging, combined with proprietary deep learning AI algorithms, to perform real-time scanning and multi-dimensional feature analysis of primary crushed ore. The DE-XRT identifies minerals based on atomic density and chemical composition, while the VIS imaging captures differences in surface features. Combined with high-performance air ejectors, the system achieves high-precision identification and rejection of low-grade ore and waste rock from high-grade ore within milliseconds.

Empowered by AI-driven surface feature recognition algorithms, the system can conduct deep learning training based on real production data, continuously optimizing the machine vision detection accuracy. This means the equipment’s performance is not fixed at the time of factory shipment; instead, it continuously adjusts and improves with the accumulation of production data. Delivering stable and reliable sorting performance, it provides mining enterprises with an efficient dry pre-concentration solution that reduces operating costs and minimizes energy and water consumption. It enables rapid configuration for diverse ore types, ranging from gold and copper to lithium, chrome, and various industrial minerals.

Technical Features

● Deep Fusion of Dual-Energy X-ray Transmission and High-Resolution RGB VIS Imaging

DE-XRT technology identifies minerals based on atomic density and internal composition, while VIS imaging captures surface features. These two complementary detection capabilities enable real-time differentiation between high-grade ore, low-grade ore, and waste rock.

● Proprietary AI Deep Learning Algorithms

Trained against comprehensive identification and sorting standards, the system uses deep learning to replicate the surface-feature judgment logic of manual picking. The AI model can be continuously optimized with new production data, driving ongoing improvements in sorting accuracy.

● High-Performance Air Ejection

Equipped with in-house, high-power, high-speed air ejectors, the system delivers high-precision material rejection and ensures long-term stable operation even under high-throughput sorting conditions.

● Multi-Specification Model Portfolio

Available in two models with belt widths of 1300 mm and 2000 mm, to meet varying throughput requirements.

Typical Application Scenarios

✦ Low-Grade Ore Pre-Concentration

Rapid waste rejection at mine sites or plant feed stages to upgrade ore grade and reduce hauling and processing costs.

✦ Bulk Mineral Sorting (Copper/Lead-Zinc/Iron)

Reject low-grade material before crushing and grinding to optimize downstream beneficiation processes.

✦ Precious Metal Ore Sorting (Gold/Silver/PGMs)

XRT identifies gold-bearing sulfide minerals based on density contrast with barren gangue, enabling early recovery of low-grade precious metal ore that would otherwise be discarded.

✦ Diamond/Gemstone Rough Ore Sorting

Non-destructive sorting preserves crystal integrity while rejecting barren gangue, delivering significant recovery improvements.

✦ Lithium Ore Sorting

Separates lithium-bearing pegmatite ore from gangue based on density differences, enabling on-site pre-concentration that reduces shipping volumes and downstream water and reagent consumption.

✦ Industrial Minerals Sorting

High-purity separation of industrial minerals — including quartz, fluorspar, and feldspar — from associated gangue, delivering feed material that meets stringent quality specifications.

✦ Tailings Reprocessing

Recover residual valuables from legacy tailings for resource recovery and mine site rehabilitation.

Specifications are approximate and subject to change without notice. Lauffer Vision reserves all rights for modifications.