Mining & Resources
LiDAR / stockpile reconciliation
Recurring stockpile and pit-volume reconciliation from LiDAR-derived elevation surfaces, with tonnage automatically checked against ERP inventory records.
A Google Partner Agency · Built By Our Experienced Team of Engineers
Mining & Aggregates · Heavy Civil Infrastructure · Industrial Construction · Earthwork & Site Development
Novina Data Innovations converts drone imagery and LiDAR point clouds into project intelligence for mining and infrastructure teams. Site elevation data works too.
Crews fly the site and run the LiDAR scan. The orthomosaic gets uploaded, and then someone has to eyeball it against a plan set to guess how far along things are. By the time a schedule slip or a boundary problem shows up in a status meeting, it's already a change order.
Earthwork
A pad can look 100% graded by footprint while still sitting a meter short of design elevation.
Stay one step ahead by getting flags before problems turn into change orders. Alerts go out over Slack and email, with thresholds you configure.
Boundary encroachment caught automatically, same day it happened.
End-to-End Project Intelligence that Delivers Executive-Ready Insights
Generic dashboards don't move a mine or a heavy-civil program.
LiDAR / stockpile reconciliation
Recurring stockpile and pit-volume reconciliation from LiDAR-derived elevation surfaces, with tonnage automatically checked against ERP inventory records.
Geospatial risk monitoring
Progress and schedule-variance tracking across large linear or multi-phase programs, plus permit-boundary and buffer-zone compliance checks.
Volumetric earthwork
Cut/fill and volumetric percent-complete for owners of large industrial builds, layered on top of whatever drone or LiDAR program is already in place.
Automated compliance flags
Standing water and retention pond capacity checks computed automatically from elevation data. Erosion is flagged the same way.
Capture
The same pipeline runs whether it's your first site or your fiftieth.
Drone orthomosaic footprints as GeoJSON or LiDAR-derived elevation grids. A single raw photo works too.
Image recognition and polygon overlap measure footprint completion. Volumetric cut/fill and stockpile tonnage are computed alongside.
A logistic growth model fit across your full capture history projects a realistic completion date.
Boundary encroachment, standing water, pond capacity, and schedule slippage are checked automatically.
Upload a planned-site GeoJSON and an as-built capture, and Novina computes completion with 99% accuracy.
Computer vision reads grading and structures straight from the imagery.
Progress isn't linear. Slow mobilization gives way to a fast middle before the slow punch-list finish.
Novina fits a logistic S-curve across your full capture history instead of drawing a straight line, and it flags stalled features along with schedule variance.
GeoJSON, LiDAR / DEM, Drone Orthomosaics, Claude Vision API, Python Flask, REST API, Slack, SMTP / Email, SQLite / SQL, ArcGIS, Pix4D / DroneDeploy and Propeller Aero.
Novina Data Innovations was founded on a simple premise: mining and infrastructure teams aren't short on site data, they're short on a reliable way to turn that data into a decision.
Before Novina, Makan designed geospatial platforms and LiDAR recognition systems at Hatch that eliminated manual re-scans and hours of labor. That work showed him the gap Novina now fills.
Start the conversation
Send us a blueprint and a recent capture, footprint, DEM, or a photo, and we'll come back with your actual percent complete, not a sales deck.
Novina Data Innovations