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.

Measurements are captured and processed in real-time

FRAGTrack™ Front-End Loader (FEL) uses advanced vision technology to improve productivity through fragmentation analysis, facilitating blast optimisation for downstream improvements and providing fragmentation profiles of stockpiles to improve blending.

Real-time oversized material detection, enabling redirecting from the crusher

FRAGTrack™ Gantry uses advanced machine vision and machine learning technologies to enable autonomous triggering and processing, without interfering with the haulage operation.

Available in shovel, front end loader, gantry, crusher, conveyor mounted configurations

Configured for both pre and post crusher continual assessment of particle size distribution. Pre-crusher automated analysis can be performed both on a face-shovel or front end loader at the dig face of a muck pile, at the gantry, as well as on the crusher tipping point. Post-crusher analysis on the ...

Truck ID, blast association and crusher performance monitoring

FRAGTrack™ Crusher provides API direct integration with Fleet Management Systems, Crusher Distributed Control Systems and blasting software, enabling Truck ID and blast associations to particle size distribution data and allowing continuous monitoring of blasting performance hauling and crushing.

Real-time web-based interface for superior analysis and decision making

The integration of Microsoft Azure solution allows edge data to now sync in real-time to the cloud, promoting collaboration amongst stakeholders. FRAGTrack™ Web enables remote access to live and historical fragmentation data for all authorised users, including specific KPI tracking.

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.

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.

Advanced binocular machine vision and AI technology

Unique hybrid AI and 2D/3D technique provides automated high quality stereoscopic fragmentation image analysis, allowing continued high performance in variable lighting, material colour, and textured environments.

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.