HDF Series Machine Vision Intelligent Sorting Machine

Customized double-layer crawler model for ore sorting, equipped with secondary re-inspection to significantly reduce false rejection rate and improve yield. Adopting AI-powered high-resolution RGB visible light imaging and high-performance pneumatic ejector valves, it distinguishes minerals and rejects waste rock efficiently through surface feature analysis. Leveraging deep learning, it continuously optimizes the detection accuracy of surface features to realize ore pre-concentration and grade improvement.

Mining operations face a unique sorting challenge: valuable minerals are often embedded in massive waste rock. Industrial minerals and light-colored metal ores frequently exist in low-grade deposits. Traditional mineral processing methods require high-energy crushing, grinding and beneficiation of materials dominated by lean ore. For global mining enterprises, the ability to efficiently identify and reject waste rock in the early stage of the process, based on inherent visual characteristics of materials rather than costly laboratory chemical analysis, is the key to ore pre-concentration, reduction of downstream processing costs and extension of the economic life of marginal deposits.

The HDF Series is a tailor-made machine vision intelligent sorting system. It adopts high-resolution RGB (HR-RGB) visible light imaging and self-developed AI algorithms to perform real-time scanning and surface feature analysis on primary crushed ore. Combined with a high-performance pneumatic ejection device, it efficiently identifies and separates valuable minerals from waste rock within milliseconds based on differences in surface features.

Supported by AI-powered surface feature recognition algorithms, the system can conduct deep learning training using real production data to continuously optimize machine vision detection accuracy. This means the equipment performance is not fixed upon factory delivery. Instead, it keeps adjusting and improving with the accumulation of production data. With stable and reliable sorting performance, it provides a cost-effective entry-level sorting solution for small and medium-sized mines, helping them substantially boost ore recovery rate and reduce waste rock handling volume.

Specifications

Technical Features

• High-resolution RGB (HR-RGB) Visible Light Imaging System Clearly presents material surface features, delivers reliable image input for AI algorithms, and ensures accuracy and stability in surface defect recognition.
• Innovative Double-layer Crawler Sorting Structure The upper belt carries out high-sensitivity sorting to prioritize high purity of high-grade concentrate. The lower belt is dedicated to secondary re-inspection of rejects from the upper layer, effectively recovering high-grade concentrate mixed in waste.
• Self-developed AI Deep Learning Algorithm The system is trained on a full set of recognition and sorting standards, and uses deep learning to simulate the surface feature judgment logic of manual picking. Meanwhile, the AI model can be continuously optimized with new production data to raise sorting accuracy.
• High-intensity LED Lighting System Maintains a constant imaging environment for clear and stable images, free from ambient light fluctuations, and guarantees consistent detection results across different time periods and batches.
• High-performance Pneumatic Ejector Valve Rejection System Adopts self-developed high-power high-speed pneumatic ejectors to achieve high-precision material rejection and long-term stable operation under high-throughput sorting conditions.
• Wide Applicability Suitable for various industrial minerals (such as marble, quartz, feldspar, fluorite) and metal ores (such as tungsten ore, tin ore, gold ore).

Typical Application Scenarios

◆ Industrial Mineral Pre-concentration Rejects waste rock from industrial minerals including marble, quartz, feldspar, fluorite, calcite, dolomite, barite and talc in the early process, greatly cutting down the material volume entering downstream processing.

◆ Replacement of Manual Picking Automates sorting work originally done manually, lowering labor costs while improving sorting consistency, throughput and operational safety.

◆ Dry Sorting for Water-scarce Areas Provides a water-free and reagent-free sorting solution for mines in arid or remote regions with limited water supply or environmental constraints.

◆ Pilot Testing & Small-scale Mines Serves as an economical entry-level sorting solution for exploration projects, pilot plants and small & medium-sized mines with limited budgets.