Computer Vision for optimised Drilling operations


Automating rock and ground material identification for effective tunnel digging.


Designing, building and training a Computer Vision ( CV) algorithm that automatically detects ( with no human intervention) which rock type is to be drilled.

Deploying this CV algorithm in a decentralised architecture so that this Artificial Vision mechanism can be used on a mobile device.


93% reduction in delays previously caused by digging/drilling errors based on inacurate rock identification.

Savings of over €1.3M over the course of 1 year.

From 72% to 98% accuracy when identifying rock types.