What is Sensor-Based Ore Sorting?

Ore sorting is a physical pre-concentration process that identifies each particle using sensor signals and separates valuable ore from waste rock before downstream processing.

1 Detection
2 Recognition
3 Separation
Ore sorting operating flowchart

Sensor-based sorting has been used in mining since the 1970s. Recent advances in machine vision, AI, deep learning, and image recognition now make it faster and more precise. Modern XRT systems can recover value from low-grade ore and historical stockpiles, improving both resource utilization and project economics.

Workflow and Adaptive Intelligence

HPY combines dual-sided VIS-HD imaging, X-ray sensing, and self-optimizing algorithms to keep separation performance stable across changing ore conditions.

Ore sorting process example Dry coal sorting process example

HPY customizes sensing combinations for different ore bodies and applies its Wenshu AI model to continuously adapt to grade and texture variation. This enables accurate identification across particle size, luster, thickness, and surface conditions, helping plants maintain recovery and reject rates with less manual intervention.

Detection and algorithm architecture

Ore Sorting Scenarios

Since its inception, HPY has focused on making ore sorting practical across different mining stages so operations can recover more value while reducing energy and handling costs.

Mineral Processing Plant Sorting

This is the most common deployment point. HPY XRT and VIS-HD sorting increase feed grade, reduce manual workload, and reduce tailings pressure by removing waste earlier.

Waste Rock or Low-Grade Ore Sorting

HPY helps transform waste rock piles and low-grade stockpiles into recoverable resources, opening additional revenue streams and lowering environmental risk.

Underground Ore Sorting

Upgrade run-of-mine grade on-site before hoisting.

Expand reserves by unlocking low-grade zones.

Cut hoisting cost by reducing waste transport.

Reuse sorted waste as backfill to improve stability.

Pithead or Excavation Site Sorting

Deploying sorting at the pithead maximizes transport value, especially for mines with long haulage distance to processing plants, while reducing unnecessary downstream load.

Economic and Environmental Benefits

HPY systems are designed to improve profitability while reducing resource intensity across the mineral processing chain.

Economic Benefits

Average economic savings

Average economic savings of 3.13 million USD per unit.

Improved sorting quality

Improved sorting quality with reduced sorting costs.

Mineral recovery rate

Mineral recovery rates of up to 98%.

Rejection rate

Waste rejection rates of up to 90%.

Operation and maintenance cost

Low operation and maintenance cost below 0.2 USD per ton.

Environmental Benefits

Reduced water consumption

Reduced water consumption.

Reduced grinding energy consumption

Lower grinding and flotation energy demand.

Extended tailings pond life

Reduced tailings pressure and extended pond service life.

Improved resource utilization

Improved extraction, resource utilization, and recovery.

Reduced harmful chemical usage

Reduced use of harmful chemicals in traditional sorting.