Executive Summary
General contractors managing large-scale commercial projects face strict OSHA safety mandates. Manual jobsite spot-checks miss over 60% of perimeter hazards and gear non-compliance. AtlasML designed and deployed an edge-native computer vision pipeline that monitors 24/7 video streams, flags violations in under 50ms, and delivers instant alerts to site superintendents.
The Challenge
With over 400 subcontractors active across multi-acre sites, safety supervisors could not continuously monitor high-risk zones, leading to:
Invisible Compliance Gaps: Workers removing hardhats or high-vis vests in blind spots.
Heavy Equipment Red-Zone Hazards: Unsafe pedestrian proximity to active cranes and excavators.
Bandwidth Constraints: Jobsites with intermittent cellular uplink unable to stream full 4K footage to cloud servers.
The Solution: Edge Computer Vision Pipeline
AtlasML engineered an end-to-end edge AI monitoring system:
Custom YOLOv8 Architecture: Fine-tuned on 150,000+ annotated frames under severe lighting, dust, and rain.
Edge Inference on Jetson Orin: Local processing at 30 FPS per camera stream without cloud round-trip latency.
Automated Incident Triaging: Real-time SMS and dashboard push notifications highlighting violation coordinates.
Measurable Results & Impact
84% Reduction in total PPE non-compliance incidents within 60 days of deployment.
45ms Average Latency from camera capture to edge hazard detection.
$320,000 Saved in prevented OSHA fines and insurance risk premium reductions.
