Making Mine Drilling Safer
Through Intelligent Digitization
DrillSense AI transforms conventional mine drill rigs into connected, intelligent machines that reduce unnecessary operator exposure and reliance on continuous manual decision-making through real-time sensing, AI-driven mine drilling intelligence and intelligent machine control.
Safer Operators. Smarter Mine Drilling. Better Operational Decisions.
Safety and human oversight
Reduce unnecessary operator-machine interaction while preserving operator authority through alerts and accept, modify or reject decisions.
Accessible mine digitization
Retrofit conventional mine drill rigs with sensing, connectivity and digital monitoring without immediate fleet replacement.
Real-time mine intelligence
Turn sensor and machine operating data into continuous visibility for mining operators and engineering teams.
AI decision support
Analyze WOB, RPM, pressure, UCS, bit diameter, hole depth and ROP to support consistent decisions and complementary formation insight.
Our mission is to make mine drilling operations safer, smarter and more consistent by reducing unnecessary human-machine interaction and excessive dependence on continuous manual decision-making. It addresses operational variability and inefficiencies caused by heavy reliance on manual monitoring and individual operator judgement. DrillSense AI augments experienced operators rather than replacing them, while securely separating each team's operational data.
The retrofit pathway brings sensing, connectivity and digital intelligence to existing mine drill rigs rather than requiring immediate fleet replacement.
Human-in-the-loop mine drilling intelligence
The current architecture keeps operators at the center of every recommended change and records decisions and operational outcomes for future learning.
Initialize and establish a baseline
Capture mine drilling conditions and establish an AI performance baseline.
Monitor and interpret
Capture and monitor real-time drilling behaviour, detect significant deviation, and interpret changing drilling and ground conditions.
Recommend with oversight
Generate optimized parameters for the operator to accept, modify or reject, then record the decision and outcome.
Current development
Machine-learning capability, a hardware and IoT prototype, the digital monitoring and control platform, AI integration, and a human-in-the-loop decision architecture have been developed and tested for their designed functions.
The next major stage is industrial validation and pilot testing on operational mine drilling equipment under real mining conditions.
Technology pathway
Concept visualization: machine behaviour, operating parameters and rock response become data that AI can interpret for operational and complementary formation intelligence.
Conventional mine drill rig → connected rig → digital monitoring → AI decision support → intelligent machine control → remote operation → progressive semi-autonomous mine drilling.
Full industrial deployment, complete industrial validation and fully autonomous mine drilling have not yet been achieved.