MN-05·U1Computer vision and drone inspections
Site safety monitoring and inspections from cameras and drones.
- Inspections without exposure
- Alerts on change, not on schedule
Haul trucks, conveyors and the air underground.
Open pit and underground: equipment reliability, ventilation on demand, energy in grinding and pumping, and the safety and environmental monitoring around it.
MN-05·1PitFleet, haulage, blasting
MN-05·2UndergroundVentilation, safety, inspections
MN-05·3ConcentratorGrinding, flotation, recovery
MN-05·4SiteDashboards from mine to mill
01/ OverviewMining
Transforming mining with AI-powered autonomy
Mining is shifting towards safer, greener and more efficient operations. Traditional methods carry significant safety risk, high operating cost and environmental pressure, and struggle to keep pace with modern demands.
SMHcoders uses AI-powered autonomy to make mining smarter, safer and more sustainable — from the pit and the underground face to the concentrator.
What mining operators tell us
CH·01
Ore variability
Feed changes ripple through the whole concentrator.
CH·02
Mill downtime
Every stopped hour is unrecoverable throughput.
CH·03
Recovery losses
Flotation runs below potential without live quality data.
CH·04
Water and energy intensity
Comminution dominates site energy use.
02/ Where we helpEach links to the product or solution behind it
03/ Use casesDrag or scroll the strip
AI across the mine site
Computer vision, predictive analytics and live dashboards, applied where mines lose safety margin and money.
MN-05·U2Predictive equipment and energy analytics
Equipment health and energy optimisation from fleet and plant data.
- Crusher, mill and fleet health
- Comminution energy tracked live
MN-05·U3Ventilation on demand
Airflow matched to where people and machines actually are — lower energy, safer air.
- Fans follow the shift
- Safer air, smaller bill
MN-05·U4Mining dashboards and automation
Real-time production visibility from mine to mill, with tailored automation end to end.
- One view, mine to mill
- Automation tailored to the site
04/ Before and afterDrag the divider
Today, and with SMHcoders.
The same plant, the same people — the difference is what the data does between the lab, the control room and the work order.
AreaTodayWith SMHcoders
FeedOre changes found at the millFeed-ahead predictions from mine to mill
GrindingFixed setpoints, whatever the oreMPC tuned to ore type
FlotationGrade from the lab, hours laterLive grade and recovery estimates
EquipmentUnplanned mill stopsDegradation flagged early
VentilationFull airflow everywhere, all shiftAirflow where people and machines are
05/ Solutions portfolioFrom the Mining brochure
The portfolio, mapped to what's already built.
Every solution in our Mining brochure. Where one runs on a product or solution we deliver, it links there — the rest are scoped as engagements on the same delivery stack.
01IoT-enabled predictive maintenance for mining equipmentProduct · AssetOps CMMS
02Autonomous conveyor monitoring and controlScoped engagement
03Ventilation on demand (VoD) using IoT sensorsScoped engagement
04Environmental monitoring and compliance automationScoped engagement
05Worker safety and real-time location trackingScoped engagement
06AI-optimised fleet managementScoped engagement
07Energy optimisation for pumps, compressors and millsProduct · Soft sensing & analytics
08Slope and ground stability monitoringScoped engagement
09Smart inventory and spare parts managementProduct · AssetOps CMMS
10Automated dust and air quality controlScoped engagement
11Digital twin for mine-wide operational planningSolution · Digital Twin
12Circular water managementScoped engagement
06/ What it changesMN-05 · impact board
More tonnes per operating hourOK
Higher recovery at the same feedOK
Fewer unplanned mill stopsOK
Lower cost per tonneOK
“Ore changes by the hour. Your grinding circuit should change with it.”
In your industry · SMHcoders
07/ ProductsDelivered in this industry's stack
08/ Common questions
Where do plants like ours usually start?
With one measurable use case — most often a soft sensor or an equipment-health model on a unit that matters. Small scope, visible payoff, then scale.
Do you work on site?
Yes. Scoping and commissioning happen at your site in the Gulf region; model development runs in-house with our own engineering team.
What data do we need to start?
Most engagements start with 6–24 months of historian, lab or document data. We audit coverage in the first week and tell you plainly if it is not enough — before you commit.
Where does it run, and who sees our data?
On your infrastructure — plant-side servers, your Azure or AWS tenancy, or an air-gapped network. Data never leaves your boundary, and nothing is used to train third-party models.
Is the consultation really free?
Yes — 45 minutes with an engineer, a feasibility read and suggested next steps. No obligation.