Introduction

Sensor-Based Ore Sorting (SBOS) is revolutionizing modern mining by enabling real-time mineral discrimination, pre-concentration, waste rejection, and ore upgrading using advanced sensing technologies. Sensor-Based Ore Sorting Training Course provides a comprehensive foundation in XRT (X-ray Transmission), NIR (Near-Infrared), Laser, RGB, and Electromagnetic sorting systems, empowering mining professionals to optimize ore recovery and reduce processing costs. With increasing pressure on the mining industry to improve efficiency, sustainability, ESG compliance, and energy reduction, sensor-based sorting has become a critical component of the future digital mine and smart mineral processing plants.

The course bridges theory and industrial application, focusing on ore characterization, sensor calibration, data analytics, machine learning integration, and plant optimization strategies. Participants will gain hands-on understanding of how SBOS systems enhance cut-off grade control, comminution reduction, metallurgical efficiency, and waste minimization. Real-world mining case studies demonstrate how leading operations are leveraging SBOS to achieve higher throughput, reduced energy consumption, improved grade control, and increased profitability in both surface and underground mining environments.

Programme Curriculum

Sensor-Based Ore Sorting Training Course

Introduction

Course Duration

5 days

Course Objectives

Master sensor-based ore sorting principles and technologies
Understand XRT, NIR, laser, and AI-driven sorting systems
Apply real-time ore characterization and mineral identification techniques
Improve ore pre-concentration and waste rejection efficiency
Optimize cut-off grade strategies using sorting data analytics
Enhance mineral recovery and metallurgical performance
Integrate machine learning in mineral sorting systems
Reduce energy consumption in comminution circuits
Implement digital mining and smart processing solutions
Strengthen plant throughput optimization and bottleneck reduction
Develop sensor calibration and system validation skills
Apply sustainable mining and ESG compliance frameworks
Evaluate economic feasibility and ROI of ore sorting plants

Target Audience

Mining Engineers
Mineral Processing Engineers
Geologists and Resource Modelers
Metallurgists
Plant Operators and Supervisors
Mine Managers and Production Leads
Technical Consultants in Mining Technology
Equipment Manufacturers and OEM Specialists

Course Modules

Module 1: Fundamentals of Sensor-Based Ore Sorting

Principles of ore sorting and mineral discrimination
Types of sorting technologies and applications
Feed preparation and particle size control
Sensor signal interpretation basics
Sorting circuit design overview
Case Study: Gold pre-concentration using XRT sorting in hard rock deposits

Module 2: Sensor Technologies in Mining

X-ray transmission (XRT) system operation
Near-Infrared (NIR) mineral detection
Laser and optical sorting systems
Electromagnetic conductivity sensors
Multi-sensor hybrid integration
Case Study: Lithium pegmatite upgrading using NIR sorting

Module 3: Ore Characterization & Geometallurgy

Mineralogical variability assessment
Ore hardness and liberation analysis
Geometallurgical modeling techniques
Sensor response calibration to ore types
Lithology-based sorting strategies
Case Study: Iron ore grade control using geometallurgical mapping

Module 4: Sorting Circuit Design & Plant Integration

Pre-crushing and screening integration
Conveyor-based sorting system design
Throughput optimization strategies
Reject handling and waste stream design
Plant layout considerations
Case Study: Diamond mine waste reduction using conveyor XRT systems

Module 5: Data Analytics & Machine Learning in Ore Sorting

Sensor data acquisition systems
Pattern recognition in ore classification
AI-based sorting decision models
Predictive maintenance for sorting machines
Big data integration in mining operations
Case Study: AI-enhanced copper sorting optimization in Chilean mines

Module 6: Operational Control & Performance Optimization

Real-time monitoring systems
Sorting efficiency KPIs
Grade control and dilution reduction
Feed variability management
Process stability techniques
Case Study: Platinum group metals (PGM) recovery optimization in South Africa

Module 7: Economic Evaluation & ESG Impact

Capital and operating cost analysis
ROI and payback period calculations
Carbon footprint reduction through sorting
Water and energy savings assessment
ESG reporting integration
Case Study: Green mining initiative using ore sorting in European tungsten operations

Module 8: Advanced Innovations in Sensor-Based Sorting

Autonomous sorting systems
Robotics and smart ore handling
Digital twin applications in sorting plants
Real-time adaptive control systems
Future trends in mining automation
Case Study: Autonomous ore sorting system in Australian gold mining operations

Training Methodology

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Ore sorting Sensor technology Grade control Process optimization

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 26 2026

26 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $1,000