Resources

What we are seeing in the field.

Use cases, case studies, blogs, and e-books, all focused on the pillars that drive productivity: Connectivity, Accuracy, Granularity, Adoptability.

Use Cases

Real-world impact of industrial intelligence

A library of analytics, computer vision, and tracking use cases, drawn from real operational problems we have solved across mining and adjacent heavy industries.

Case studies

Real operations, real numbers

Each case study walks through the before-state, the pillar we addressed, the modules deployed, and the operational outcome. Representative case studies, actual customer write-ups are published as they are signed off.

Case Study 1

From paper fuel slips to a reconciled fuel ledger

Sector: Open-cast coalModule: Mineoptic FuelPillar: Adoptability, Granularity

The mine was logging fuel on paper cards at three bowsers, reconciling manually at shift end, and losing an estimated 4 to 6 cards per week. After rolling out Mineoptic Fuel, the site moved to tap-and-snap capture at the bowser, with offline sync to handle the dead zone at the back-of-pit bowser, and eliminated end-of-shift transcription entirely. Fuel reconciliation variance dropped sharply and the fuel-per-tonne number became trusted at the management review.

Case Study 2

Sizing the tipper fleet with bucket-level data

Sector: Iron oreModule: Mineoptic VisualPillar: Connectivity, Granularity

The planning team had been sizing the tipper fleet per excavator using trip counts and average cycle time, numbers the team did not fully trust. Mineoptic Visual started reporting bucket counts per truck, load time per bucket, and queue time at the excavator. Within a shift, the manager could see which excavators were starving their fleet and which had excess tippers. The fleet was rebalanced within a week.

Case Study 3

Fleet status visibility in a low-network pit

Sector: LimestoneModule: Mineoptic PlusPillar: Connectivity, Accuracy

A standard GPS tracker deployment had been live for two years but never used by the operations manager, the public GSM coverage dropped in the deepest bench, so the pit floor was effectively invisible, and stationary assets synced late. Mineoptic Plus was deployed on the mines own connectivity fabric. The pit floor came online, time-sync across moving and stationary assets held up, and the manager began using the fleet-status view as the primary operational screen.

Case Study 4

One canvas for production, fuel, and fleet

Sector: BauxiteModule: Mineoptic CanvasPillar: Accuracy, Adoptability

Production data lived in dispatch software, fuel data in Excel, and weighbridge data in a separate SQL database, each reconciled weekly, none of them live. Mineoptic Canvas was connected to all three sources with the data layer on the mines own server. The operations team built a single shift dashboard that reconciled the three sources automatically. The weekly reconciliation meeting was retired.

Blogs

Featured posts

Short, operationally useful pieces on the problems we see in the field, and the thinking behind how Mineoptic solves them.

Why a map view is not visibility

Every GPS dashboard looks impressive on day one. Two months later, the manager has stopped opening it. We look at why, and what visibility actually has to deliver to stay useful.

The real cost of pen-and-paper fuel logging

Everyone knows paper fuel cards are error-prone. We quantify what that actually costs across a year, in missed reconciliations, distorted fuel-per-tonne numbers, and end-of-shift hours spent transcribing.

How many tippers per excavator? The question nobody could answer

Sizing the tipper fleet per excavator has historically been a rule-of-thumb exercise because the data was not there. With bucket and queue data, the answer becomes calculable. We walk through the method.

Why mines outgrow their GPS trackers

Standard GPS is built for fleets on public roads. Mines are different, dead zones, stationary assets, asset relationships that matter more than coordinates. We break down where trackers run out of road.

Designing for the dead zone

The deepest bench, the underground drive, the back-of-pit bowser, every mine has a dead zone where it matters most. We discuss what offline-first capture really requires to stay trustworthy.

Adoption is the hardest pillar

Connectivity, Accuracy, Granularity are all engineering problems. Adoptability is a design problem, and it is the one that decides whether the system gets used. Here is how we approach it.