Quarry load verification uses AI cameras for load counting at the loading point. Each loader cycle into a truck is saved with its image and time, giving you a record for weighbridge reconciliation. It runs on site, using suitable existing cameras, and is validated on your own loads before go-live.
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A truck pulls up to the loader, receives its load and heads to the weighbridge. The loader operator radios through a count and the weighbridge records a weight. At the end of the day the numbers should match. Often they don't.
Revenue leakage in quarry operations is a persistent and expensive problem. It is rarely fraud or theft; it is the accumulated effect of counting errors, lost dockets, timing gaps and the limits of manual processes in a dusty, noisy, fast-moving environment.
Sources of revenue leakage
Loader operators lose count during busy periods, particularly when several trucks are queuing. Paper dockets blow away, get wet, or are filled in with handwriting that creates disputes later. Radio calls get garbled or missed. At the end of the day, reconciling loader counts against weighbridge records turns up discrepancies that nobody can explain.
Multiply a small counting error by the number of loads that leave the site each day and by the price of the material, and even a modest error rate adds up to a meaningful amount of unreconciled material over a month. Every site's numbers are different, so the first step is measuring the gap on your site.
Limits of manual counting
Manual load counting relies on the loader operator keeping an accurate tally while operating heavy machinery, positioning trucks and talking to the weighbridge. That is a job of divided attention in a high-stakes environment, and a perfect count is unrealistic.
Some quarries employ a dedicated yard person to count loads, but this adds a permanent labour cost and still relies on attention that fades over a shift. Others treat the weighbridge as the single source of truth, but weighbridge data alone does not give loader bucket counts for each truck or show which loader loaded which vehicle.
How AI load verification works
Quarry load verification uses a camera at the loading point with a clear view of the loader and the truck tray. A camera already on site is assessed first and used where it's suitable; repositioning or adding a camera is only recommended where the view limits the result. A computer vision model, custom-trained on the site's own footage, detects each loader cycle as material is deposited into the truck.
Each cycle is captured with a timestamped image. When the truck leaves, a digital load record lists its loader cycles, times and images. These records support weighbridge reconciliation by cross-checking loads against weighbridge records automatically. Cameras count loads; they do not measure weight or replace the weighbridge.
Detection runs at the edge, on site, with no dependence on external connectivity. Cloud and hybrid deployments are available where remote access and multi-site reporting matter. Why on-site (edge) AI suits remote sites.
What a load verification system records
An automated load count gives the site a count it can trust more than a busy operator's tally, and a way to check any load after the fact. Accuracy on a given site depends on the camera view, the dust and lighting, and the way the loaders work, so the system is validated on the site's own footage and loads before go-live.
Every load also gets an image-backed, time-stamped entry that can't be lost or misread and doesn't depend on someone's memory of a radio call. When a discrepancy comes up between the loader count and the weighbridge, the images give both sides an objective reference.
Operational data
The same cameras that count loads can also produce operational data. Truck turnaround times can be measured automatically, showing where the loading process slows down. Loader activity can be tracked to show how machine time is used. Queue lengths can be monitored to improve scheduling. Automated truck counting at the gate or weighbridge approach fits alongside the load record.
Safety monitoring
The same system that counts loads can watch exclusion zones around loading areas and heavy plant, flag people without required PPE and keep a record of safety events, so one set of cameras covers both counting and safety. Vehicle and site monitoring.
Business case
The business case comes down to a few numbers you can estimate for your own site: how many loads leave each day, the value of each load, how often counts and weighbridge records disagree, and how much time goes into reconciling them. If the gap is material, an automated load record usually justifies itself, and turnaround data and safety monitoring add to the case.
Quarries are increasingly moving from manual counts and paper dockets to image-backed digital records. Talk to our team to see how it would suit your cameras and loading layout.