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.