Heavy Equipment Operation & Construction Site AI Data
Folstag deploys certified heavy equipment operators with professional sensor arrays on active construction sites to capture the operational data, safety scenarios, and machine telemetry that construction AI systems need to perform in production.
Operational Complexity
External-Only Perspective
Bystander footage misses the operator's cab view, blind spots, and operational context.
No Machine State Context
Without synchronized telemetry (boom angle, load weight), models can't understand machine intent.
Safety-Critical Gaps
Authentic near-misses and PPE violations are rarely captured from outside the active work zone.
What We Capture on Construction Sites
Our certified operators capture data across five critical domains, providing complete coverage of construction operations, safety events, site progress, machine interactions, and hazardous conditions.
Equipment Operation
Excavation, grading, material loading, and crane lifts captured with multispectral synchronization.
Safety Monitoring
Worker proximity, PPE compliance, and exclusion zone breaches captured on active sites.
Site Progress
As-built documentation, earthwork tracking, and structural assembly progress over time.
Machine Interaction
Complex multi-equipment coordination, spotted loading cycles, and fleet interaction patterns.
Hazardous Conditions
Unstable ground, steep grades, and utility proximity scenarios in real field conditions.
Heavy Equipment Coverage
We capture data from the full range of construction equipment, operated by certified professionals with thousands of hours of seat time on each machine type.
Excavators
1-90+ ton units across trenching, mass excavation, and precision work.
Bulldozers
Rough grading, clearing, and GPS-guided finish grading operations.
Wheel Loaders
Material handling, truck loading, and snow removal in authentic sites.
Dump & Haul
Articulated, rigid-frame, and highway trucks across off-highway terrain.
Cranes
Mobile and tower cranes performing structural lifts and blind picks.
Compactors
Soil and asphalt rollers with pass count and density measurement data.
Our operators work across residential, commercial, industrial, infrastructure, and resource extraction projects, providing equipment data from diverse site types, soil conditions, and project scales. Whether your AI targets highway construction, high-rise development, pipeline installation, or residential earthwork, we capture data from the exact project environments your model will encounter.
Multi-Sensor Capture
We mount multi-camera arrays, LiDAR, thermal imaging, and machine telemetry sensors directly on working heavy equipment. All data is synchronized and processed through Folstag Anno. See our services page for full sensor specifications.
Construction AI Data Questions
What heavy equipment does Folstag capture data from?
All major types: excavators, bulldozers, wheel loaders, dump trucks, cranes, compactors, graders, and skid steers. Our certified operators work across residential, commercial, industrial, and infrastructure projects.
How does machine telemetry enhance construction AI datasets?
Folstag Anno syncs telemetry — boom angle, load weight, swing speed, GPS — directly into the annotation feed, time-aligned with every video frame. This gives models the full operational context behind every visual event.
Can Folstag capture safety-critical scenarios on construction sites?
Yes. Our operators capture near-miss events, PPE violations, exclusion zone breaches, and blind spot scenarios on active sites. These authentic safety events cannot be replicated in staged environments.
What is computer vision for construction site safety?
Computer vision for construction safety uses AI trained on real job site footage to detect hazards like missing PPE, exclusion zone violations, and worker proximity to equipment. These models need annotated video from active sites — not staged scenarios — because real sites have dust, vibration, changing light, and simultaneous multi-equipment operations that lab environments cannot replicate.
How quickly can Folstag deliver a custom construction AI dataset?
Typical timelines range from 2-6 weeks depending on scope and annotation complexity. We maintain an active network of certified operators across Alberta's construction industry for rapid mobilization, and execute collection, annotation, and QA in parallel to accelerate delivery.
Ready to Build Smarter Construction AI?
Let's discuss how operator-collected, telemetry-enriched construction data can accelerate your equipment automation, safety monitoring, or site intelligence models.
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