FRAGTrack™ Shovel is a state-of-the-art fragmentation measurement tool that uses advanced machine vision technologies to enable automated post-blast measurement and analysis.

It delivers online fragmentation data, benchmarks and insights needed to ensure sustainable and cost-effective improvements in blast performance at your operations.

The system can be configured to an operating face-shovel for continual assessment of particle size at the dig face of a muck pile, allowing the determination of both volume and mass of material.

Features and Benefits

Advanced stereoscope machine vision and AI technology

FRAGTrack™ Shovel features the latest 3D imaging technology and hybrid AI algorithm that enables unprecedented image processing to handle low light and high shadow contrast conditions. High performance is retained across variable lighting, material colour, and highly textured environments.

Georeferencing and fragmentation analysis

Using FRAGTrack™ Shovel for continual assessment of particle size at the dig face of a muck pile, allowing the determination of both volume and mass of material.

Install, commission, optimise and maintain remotely

Users will be trained and supported throughout the FRAGTrack™ installation and operation process. Once installed and connected to a network, FRAGTrack™ performance can be maintained, optimised and updated without requiring the team to perform onsite hardware calibration.

Autonomous and unbiased sampling

The smart triggering system captures only valid samples are collected and processed, eliminating sampling bias and increasing sample frequency. The latest AI based object detection and autonomous triggering identifies and rejects foreign objects to ensure high quality particle size distribution measurements of the muckpile.

Reliability and accuracy

Designed and tested to meet the demanding requirements of mining environments, FRAGTrack™ Shovel boasts high level accuracy with results comparable to conventional sieve analysis methods. Edge computing image processing and storage ensures data security and control through the preservation of both sample and processed data in the event of communication failure.

Web-based interface for superior analysis and decision making

The use of cloud architecture offers a range of data transfer and integration points, promoting centralised collaboration among stakeholders, from the plant control room to the data science team. Online access allows authorized users configurable display of historical data, key performance indicators and reporting needs, anytime, anywhere, and on any device.