
The mining world speaks in numbers: fewer accidents, more tons per hour, less downtime. A haul truck is a giant machine with an enormous blind zone, and an accident around it - a pedestrian, a light vehicle, a reversing move - is a serious event. Real-time pedestrian and dangerous-proximity detection, together with driver-fatigue detection, are the big safety value of AI video on the vehicle.
Beyond safety, there is output. The system measures cycle times - loading, haul, wait and dump - and counts cycles per truck. That is where bottlenecks surface: a long weighing queue, a slow cycle, an underused truck. A small gain on each cycle adds up to many tons a day.
Load is a critical figure too. Unbalanced loading or overloading wears tires - each costing tens of thousands of dollars - and raises rollover risk. Estimating material height and distribution in the body flags a problem before it becomes damage.
And finally, preventing wrong-site dumping and material theft: a geofence for the dump destination and an alert on an unplanned stop or discharge. All on the same platform, installed on the existing fleet - without replacing trucks.
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