Orica Canada Inc

FRAGTrack™

FRAGTrack™ is a state-of-the-art fragmentation measurement tool designed to provide rapid insights into the outcome of your blasting process. Our advanced vision technology improves productivity through fragmentation profile analysis, facilitating blast optimisation for downstream impact.

FRAGTrack™
Reliability and accuracy
High level accuracy with results comparable to conventional sieve analysis methods. Designed and tested to meet the demanding requirements of the mining environments.
 
Engineered data integrity
Localised image processing and storage ensures data security and control through the preservation of both sample and processed data on the device in the event of communication failure.
 
Advanced binocular machine vision technology
Unique hybrid 2D/3D technique provides automated high quality stereoscopic fragmentation image analysis, allowing continued high performance in variable lighting, material colour, and textured environments.
 
Location and time tracking
Blast fragmentation measurements logged to a precise location and point in time by capturing spatial co-ordinates and timestamp information with each image.
 
Available in belt conveyor and shovel mounted configurations
The system can be configured for both operating face-shovel for continual assessment of particle size at the dig face of a muck pile, as well as above the conveyor, allowing the determination of both volume and mass of material.
 
Autonomous and unbiased sampling
The smart triggering system ensures only valid samples are collected and processed. Eliminating sampling bias and increasing sample frequency.
 
Empty belt detection
FRAGTrack™’s sophisticated triggering mechanism ensures only valid results are captured for analysis, ensuring decisions are made on valid information at all times.
 
Web based interface for superior access and viewing of fragmentation data
Online access allows user configurable display of historical data, key performance indicators and reporting needs. Access your data anywhere, anytime on any device.