Haul Truck and Heavy Equipment Detection AI

Add a detection layer to every corner of the site with vision AI for haul truck and heavy equipment detection. Built for the operations where a 400-ton haul truck cannot see a person standing beside its front wheel, a dozer backs toward a berm in the dust, and the difference between a pickup and a water truck at 300 meters decides whether the alert is real. Whether you're running an open pit, a quarry, a construction site, or a farm with harvest crews and machinery in the same field, Roboflow finds the machines and the people around them, in dust, rain, and darkness, and hands the shift a georeferenced event with the frame attached.

Machines and People:

• Detect and classify haul trucks, loaders, dozers, excavators, graders, drills, water trucks, and light vehicles by type, so the record knows what moved and where
• Detect people on foot near machines, in blind zones, and inside exclusion zones, including workers without tags, visitors, and contractors, so proximity is caught whether or not the person is carrying a transponder
• Detect tractors, harvesters, sprayers, and grain carts alongside crews and vehicles in the field, so ag operations get the same coverage the pit does

Zones and Interactions:

• Flag vehicle-pedestrian and vehicle-vehicle proximity events, with the machine, the person, the distance, and the frame, so the interaction is a record and a conversation instead of a near miss no one reported
• Detect berm and edge encroachment, dump-point overruns, and machines entering restricted areas, so the zone rule is enforced by what the camera sees
• Track equipment across the site, so a machine that stops on a haul road, a queue that builds at the shovel, or a truck that idles at the crusher shows up in minutes

Operations, Cycles, and Systems Integration:

• Count loading and dump cycles by machine and location, and measure queue and spot times, so cycle-time loss shows up by shovel and by shift
• Trend equipment presence and idle time by area, so utilization comes from what happened rather than what was logged
• Push events with type, location, distance, and imagery into fleet management, collision avoidance, and safety systems, with per-event records behind every interaction

Bring intelligence to every site today. Stop blind-zone interactions, zone breaches, and cycle-time loss from becoming incidents, stoppages, or the report that gets written afterward.

More About Haul Truck and Heavy Equipment Detection

What is haul truck and heavy equipment detection with Vision AI?

Haul truck and heavy equipment detection with vision AI uses computer vision models to find and classify machines and the people around them on mine, quarry, construction, and agricultural sites, from pit cameras, machine-mounted cameras, site poles, and drones: haul trucks, loaders, dozers, excavators, graders, drills, tractors, and harvesters by type, people on foot near them, proximity events, zone and berm breaches, and loading and dump cycles. Events come back with the machine, the person, the distance, the location, and the frame, and land in fleet management and safety systems with per-event records that support MSHA 30 CFR Parts 46, 56, and 57, OSHA 29 CFR 1926, ISO 21815, and ISO 45001 programs.

Can Vision AI detect a person near a haul truck in dust and at night?

Seeing a person beside a 400-ton truck is exactly where mine and site safety programs feel the most pressure: the driver's blind zone extends meters in every direction, the pit is dusty by mid-shift and dark by the end of it, and the person on foot may be a contractor with no tag. Deep-learning models trained on your actual site imagery, machines, lighting, and weather learn what people and machines look like on your pit and your poles, in haze, rain, headlights, and low sun, and they see the untagged person that a transponder-based system cannot. Thermal and low-light cameras extend coverage into the night shift, and the frame that comes back with every event is what makes the interaction reviewable: the machine, the person, the distance, and the moment.

Does this replace our collision avoidance and proximity detection systems?

No. Machine-mounted collision avoidance, radar, and tag-based proximity systems keep their EMESRT Level 7 through 9 role on the truck, and the operator alerts and machine interventions they provide stay in place, as do the MSHA and ISO 21815 programs built around them. Vision AI adds what those systems do not cover: the person without a tag, the light vehicle without a transponder, the zone and berm rule that lives on the ground rather than on the machine, the queue and cycle data that come from watching the site, and a frame behind every event. Collision avoidance events and vision events land in the same safety record, and the site sees the interactions its machines cannot.

Can it integrate with our fleet management and safety systems?

Yes. Roboflow Inference exposes a standard API and supports common industrial protocols, so detections flow into your existing systems: fleet management platforms like Caterpillar MineStar, Modular Mining DISPATCH, Wenco, and Hexagon, collision avoidance and proximity systems, telematics, site safety and incident platforms, and SCADA and HMI systems like Ignition and AVEVA, through REST, MQTT, OPC UA, and direct database writes. Events carry the class, confidence, location, distance, timestamp, camera, and frame, so dispatch can act on a stopped truck, safety can review an interaction with the imagery attached, and operations can trend cycles and utilization by machine, area, and shift, with a full record behind every event.

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