CIM

AI-Driven Fragmentation Analysis

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AI-Driven Fragmentation Analysis for Mine-to-Mill Optimization

4 CPD HOURS | LEVEL: ADVANCED

Facilitator

Blessing Taiwo: Technical Specialist at WipWare Inc. with over four years of experience in particle size distribution analysis. He has trained hundreds of engineers globally and is a frequent contributor to ISEE and Fragblast. 

Abstract

Equip professionals with a practical understanding of how image analysis and AI are reshaping drill-and-blast practices. Learn to leverage deep learning and data-driven feedback loops to enhance efficiency and lower operational costs.

Learning Objectives

  1. Understand the value of accurate blast fragmentation assessment.
  2. Plan and execute Drone-based data collection and orthomosaics.
  3. Implement best practices for image acquisition (surface and underground).
  4. Leverage data for optimization of drilling, blasting, and comminution.
  5. Analyze real-world case studies (Granite/Limestone/SAG mill).

Target Audience

Mining engineers, Drill and blast specialists, Geologists, Plant engineers, and Innovation specialists.


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